Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

In this age of disruption, organizations need to navigate the future with confidence, embracing decision-making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Revenue Marketing & Analytics team leverages the power of data, analytics, science and technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making to optimize revenue. Work together with the Marketing Leadership Team, GTM Team and LOB by architecting organizational intelligence programs and differentiated strategies to win assist in maximizing marketing programs.

To succeed in this role, you must have significant experience with analytics software, such as Google Analytics, Power BI and other relevant tools, and programming languages (SQL/Python/R).

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.

Leverage automation and data science-based techniques to manage data, predict scenarios and prescribe actions.

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing data intelligence for continuous insights and improvements.

Travel up to 30%

What Makes You a Qualified Candidate

8+ years of relevant data management and/or cloud analytics (AWS, GCP, Azure) consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling)

4+ years of experience leading and managing data delivery project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live.

Significant experience leading complex data management engagements and team sizes ranging from 5 to 20 resources.

Bachelor's Degree or equivalent professional experience

What You'll Bring

Experience with other data management toolsets: Salesforce, Eloqua, 6sense, Aprimo, Google Analytics, Teradata, Microsoft BI, etc.

An advanced degree in the area of specialization

Proven skills as a team member, team lead or project manager on multiple full life cycle implementations.

A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.

Eagerness to mentor junior staff and raise the quality of data strategy, design and implementation across the practice by sharing insights and methods through training, community, etc.

Committed to gaining exposure to multiple industries while further developing your career.

Adept at implementing technology-enabled business solutions for clients as part of a high-talent team.

Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)

Pay Rate: $143,500.00 - $179,400.00 - $215,200.00 Annually

Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

#LI-OC1

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization.

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We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Pay Rate: 143500.0000 - 179400.0000 - 215200.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata’s competitive Total Rewards package at https://www.teradata.com/About-Us/Careers/Benefits

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientist’s responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI.

What you will do:

Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products.

Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis.

Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI.

Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue.

Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation.

Build expert knowledge of the various data sources brought together for audience segmentation solutions – survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data.

Work with Product and Engineering teams to transition development projects to production systems.

Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences.

Provide mentorship and guidance to data scientists where necessary.

Required Skills:

Expert-level experience with Adobe’s analytics tools (e.g.,   Adobe Journey Analytics   ) and third-party SaaS tools (e.g., Databricks, R).

Experience with applying statistics and data science tools on large datasets.

Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques.

Specialization in Generative AI.

Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches.

Extensive experience with data preparation (normalization, scaling, etc.) for modeling.

Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate.

Exposure to Spark/PySpark systems in a distributed computing environment.

SQL mastery, including techniques for writing efficient code over large datasets.

Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models.

Excel at handling both structured and unstructured data.

Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry.

Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines.

Bachelor’s Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master’s Degree in a quantitative field and relevant work experience.

Qualifications:

Bachelor’s Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master’s Degree in a quantitative field and relevant work experience.

Proven experience in developing and implementing machine learning models in a business environment.

Demonstrated ability to handle complex data sets and perform sophisticated data analysis.

Strong programming skills in Python and/or R.

Experience with APIs and integrating them into data solutions.

Advanced proficiency in Excel for data analysis and reporting.

Familiarity with Large Language Models (LLMs) and their applications.

Strong SQL skills for database management and data manipulation.

Strong problem-solving skills and ability to think creatively and critically about data.

Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders.

Ability to work collaboratively in a team environment and mentor junior data scientists.

Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies.

Primary Location City/State:

Homebased - Conway, Arkansas

Additional Locations (if applicable):

Mexico City

Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https:////www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) .

Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

We are leaders in helping brands achieve the number one mantra for every business – know your customer. For fifty years, we’ve helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business.

We’re one of the marketing industry’s most experienced, respected and forward-thinking leaders. For nearly fifty years, we’ve helped the world’s best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.

Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you’re an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out.

At Acxiom, our values begin with our associates, who are the single most important driver of our success. We’re looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise – to our clients and to our associates – and define our company culture.

If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049.

We highly recommend you create an account to monitor your resume submissions. Click on the Sign In link above to create an account or sign up at the end of your application.

Interested in Acxiom? Learn about our Equal Opportunities, job postings, and more:

About Us (https://www.acxiom.com/about-us/)

Follow Us on Twitter

Find Us on Facebook (http://www.facebook.com/AcxiomRecruiting)

Careers Page

LinkedIn (http://www.linkedin.com/company/acxiom)

Internal applicants need to apply for open positions through their Workday account. Please log into Workday and use the  Find Jobs  report to search for and apply for positions posted internally. For questions, please contact the recruiter listed on the job posting.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https://www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) .

Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

Attention Mexico Applicants: Please see our Privacy Policy notice here (https://www.acxiom.com/wp-content/uploads/2023/07/ACXIOM_MX_AVISO_DE_PRIVACIDAD_EMPLEADOS_Privacy_Notice_Workday.pdf) .

Become a part of our caring community and help us put health first

Humana is seeking a Senior Data Scientist to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!

The Senior Data Scientist will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. The Senior Data Scientist uses Machine Learning, AI, GenAI, mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Data Scientist:

Works with Machine Learning, Artificial Intelligence (AI), and GenAI

Develops, maintains, and collects structured and unstructured data sets for analysis and reporting

Creates reports, projections, models, and presentations to support business strategy and tactics

Begins to influence department’s strategy

Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction

Exercises considerable latitude in determining objectives and approaches to assignments

Use your skills to make an impact

Required Qualifications

Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience

Experience with Python, PySpark, Machine Learning, and AI

Experience building applications and deploying products into production

Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors

Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

Experience in creating reports, projections, models, and presentations to support business strategy and tactics

Ability to make decisions on moderately complex to complex issues regarding technical approach for project components

Proven ability to independently run/manage projects

Preferred Qualifications

PhD

Prior experience with NLP and LLMs (Hugging Face, OpenAI, Langchain, etc.)

Prior experience with Microsoft Azure and the Azure data ecosystem

Prior consulting experience

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

Work-Life Balance

Generous PTO package

Health benefits effective day 1

Annual Incentive Plan

401K - Excellent company match

Well-being program

Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

Satellite, cellular and microwave connection can be used only if approved by leadership

Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$117,600 - $161,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 12-14-2024

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

** Please note that Raleigh, NC is the preferred location for this role. We are also open to hiring remotely, with the expectation that all team members will work a U.S. / eastern time zone schedule. **

About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About the Role:

A Lead Data Scientist leads a team of junior members to support their development and work product. They define the scope of a project and execute that project as a team. They support the development and training of junior members. They develop best practices as team leaders.

Responsibilities :

Leading and conducting advanced data analysis to drive business insights and decision-making.

Developing and implementing machine learning algorithms to solve complex business problems

Building and maintaining scalable data pipelines and infrastructure for optimal data extraction, transformation, and loading

Conducting in-depth analysis and interpretation of results to provide actionable recommendations to stakeholders

Collaborating with cross-functional teams to identify opportunities for leveraging company data to drive business solutions

Requirements :

Have a master's or doctorate in a quantitative field such as Computer Science, Statistics, or Mathematics

Have excellent communication skills and the ability to convey information clearly to a wide audience

Be a natural problem solver and able to take a lead in collaborating to resolve issues

Have experience in leading complex projects and customer relationships

Have substantial experience in a Data Scientist role

Be adept at working in a dynamic, collaborative environment with a proficient problem-solving mindset

Be proficient in programming languages such as Python, R, or Java

Work in a way that works for you :

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you :

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business :

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, were all a part of something bigger than ourselves. Are you ready to change the way the world moves? Imagine the possibilities at Ford! Great ideas evolve into extraordinary products and customer experiences. When you bring passion and dedication to your job, there's no telling what you can accomplish. The Digital Manufacturing Systems team is seeking a Staff Data Scientist to help imagine, invent, and implement the technology used to manufacture the next generation of Ford vehicles. Our environment fosters product innovation, rapid iteration, and a significant amount of autonomy. Our development stack is diverse and includes a wide range of technologies, including low-level and server-side programming. Our team values fun, camaraderie, learning, and collaboration, and we are looking for someone who shares these values. We hold ourselves and our solutions to the highest standards, which we maintain through constructive code reviews, brainstorming sessions, and pair programming when appropriate. Additionally, we prioritize personal relationships and take the time to get to know each other and our partners. Sound good? We would love to hear from you. In this position... The Digital Manufacturing Systems team is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team. The ideal candidate will have a proven track record of successfully designing, developing, and deploying data-driven solutions to complex business problems. This role requires strong technical skills, excellent communication abilities, and the ability to work independently and collaboratively within a team. What you'll do... <ul> <li> Lead and execute data science projects: Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. This includes defining project scope, setting timelines, and managing resources effectively. </li> <li> Develop and implement advanced analytical models: Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. This may involve a variety of techniques, including regression, classification, clustering, time series analysis, and deep learning. </li> <li> Data mining and analysis: Extract, clean, transform, and analyze large datasets from various sources. This involves working with SQL, NoSQL databases, and potentially cloud-based data warehouses. </li> <li> Develop and maintain data pipelines: Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training. </li> <li> Collaborate with cross-functional teams: Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. Strong communication and presentation skills are crucial. </li> <li> Mentor junior data scientists: Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment. </li> <li> Stay current with the latest advancements in data science: Continuously learn and explore new techniques and technologies to enhance the team's capabilities. </li> <li> Contribute to the improvement of data infrastructure and processes: Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions. </li> </ul> You'll have... <ul> <li> PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience </li> <li> 10 + years of experience as a Data Scientist. </li> <li> 5 + years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). </li> <li> 5 + years of experience in statistical modeling, machine learning, and data mining techniques. </li> <li> 3 + years of experience with SQL and NoSQL databases. </li> </ul> Even better, you may have... <ul> <li> PhD degree in Computer Science, Statistics, Data Science, or a related field </li> <li> Experience with cloud computing platforms (Azure, GCP) </li> <li> Excellent communication, presentation, and collaboration skills. </li> <li> Ability to work independently and manage multiple projects simultaneously. </li> <li> Demonstrated ability to translate business problems into analytical solutions. </li> <li> Experience with specific industry domains (e.g., manufacturing) </li> <li> Experience with A/B testing and experimentation </li> <li> Experience with model deployment and monitoring </li> <li> Publication record in relevant conferences or journals </li> <li> Experience with data visualization tools (e.g., Steamlit) </li> </ul> You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderor all the above? No matter what you choose, we offer a work life that works for you, including: <ul> <li> Immediate medical, dental, and prescription drug coverage </li> <li> Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more </li> <li> Vehicle discount program for employees and family members, and management leases </li> <li> Tuition assistance </li> <li> Established and active employee resource groups </li> <li> Paid time off for individual and team community service </li> <li> A generous schedule of paid holidays, including the week between Christmas and New Years Day </li> <li> Paid time off and the option to purchase additional vacation time. </li> </ul> For a detailed look at our benefits, click here: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-LL6-sal-plan-2.pdf This position is a leadership level 6 Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-remote #LI-LA1 Requisition ID : 38278

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

Our team is a blend of data science and analytical engineering, and in this role, you'll collaborate closely with the analytics engineer. As a data scientist, you will work on in-database analytics functions, ensuring high accuracy, efficient workload management, and supporting proof-of-concept (POC) use cases. Meanwhile, you will leverage cutting-edge AI technologies to create solutions and develop scalable models that integrate into Teradata’s analytics platform. This position will play a key role in shaping the future of AI-driven applications, such as retrieval-augmented generation (RAG), recommendation systems, and multimodal solutions across diverse enterprise use cases.

Who You'll Work With

We are a market leader and innovator in cloud analytics and data platforms for AI, specializing in the management of structured, unstructured, and semi-structured data. Our team delivers analytic insights to enterprises through powerful products such as the massively parallel, linearly scalable Teradata Database and best-in-class, high-performance in-database analytics. Our Gen AI product, Vector Store, serves as the backbone for applications like RAG and recommendation systems. This role reports directly to the manager of the ClearScape Analytics team, the core AI product group.

What Makes You a Qualified Candidate

Master's degree in Statistics, Data Science, Computer Science, a related field, or equivalent practical experience.

Experience programming in Python, SQL, or related languages.

2 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

What You'll Bring

PhD or Master’s in Computer Science, Data Science, Machine Learning, or a related field, with focus on GenAI, RAG, vector database, and AI Agents.

Experience in information retrieval or Text summarization, Experience in NLP (Natural Language Processing), RAG and Large Language Model (LLM)

Experience with training, evaluating, or interpreting large language models or multimodal models.

Pay Rate: $108,600.00 - $135,700.00 - $163,000.00 Annually

Why we think you will love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization.

​

We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Pay Rate: 121900.0000 - 152300.0000 - 182800.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata’s competitive Total Rewards package at https://www.teradata.com/About-Us/Careers/Benefits

Job Description

The Oracle Energy and Water Product team is looking for a Principal level Data Scientist to join our data science organization.

Utilities from around the world provide energy usage data from tens of millions of customers at some of the largest utilities.

We work across a breadth of areas, from customer-facing aspects of the energy and water business to generation, transmission and distribution on the grid side. We use data science to solve real-world problems like helping make energy bills more affordable, keeping the lights on after storms, and helping utilities transition to renewable sources of energy.

Career Level - IC4

Responsibilities

Responsibilities include a mix of the following tasks:

Stay on top of current trends in data science and find avenues to apply those tools to problems in our backlog.

Our data science backlog (in the area of Distributed Energy Management and Outage Management, for example) are critical path for product. Candidates for this role/level will be expected to own delivery of productized solutions. This will involve engaging in early-stage discussions with PMs and client-facing teams to help guide them towards writing requirements that enable feasible data science models to be deployed across clients, and work matrixed (or as a tech lead) to other data scientists to build out the solution to the posed problem.

Prior experience in building/deploying GenAI solutions (for example, using available foundational models, or RAG training on top of these models), and/or Computer Vision solutions is a plus.

Identify recurring problems and bottlenecks in our data science R&D stack and develop/recommend solutions.

This will require experience and understanding of modern data science development and production stacks, preferably in the OCI context, but experience in other similar stacks will also be considered.

Assist manager and leaders in refining scope of prioritized tasks by identifying required datasets, building proofs-of-concept models, identifying gaps.

Efficiently execute defined, data science tasks, as prioritized by leadership.

Productize built models using our OCI data science stack

Work with our client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around data science deliverables.

Mentor junior data scientists and recommend best research practices for the team;

Required and Preferred Qualifications

PhD in Computer Science, Mathematics, Statistics, Physics, Economics or other STEM field; strong MS/BS candidates will also be considered.

Prior energy or utility domain experience is a plus but not a requirement.

8-10 years of professional work experience in a data science role spanning either pure data science research or a mix of model building and MLOps.

Experience with Python, PyTorch (or other equivalent deep learning frameworks) strongly preferred. PySpark nice to have.

Prior experience working in cloud data science environments to build and validate ML models.

Breadth and depth across machine learning techniques: specifically Deep Learning.

Be a team player and be willing to delve into the details of the product to make sure clients are seeing value.

A reasonable number of our problems also benefit from classical ML techniques, so prior experience crafting features to train models is also required.

#LI-REMOTE

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $109,100 to $223,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Imagine the possibilities at Ford! Great ideas evolve into extraordinary products and customer experiences. When you bring passion and dedication to your job, there's no telling what you can accomplish. The Digital Manufacturing Systems team is seeking a Staff Data Scientist to help imagine, invent, and implement the technology used to manufacture the next generation of Ford vehicles. Our environment fosters product innovation, rapid iteration, and a significant amount of autonomy. Our development stack is diverse and includes a wide range of technologies, including low-level and server-side programming.

Our team values fun, camaraderie, learning, and collaboration, and we are looking for someone who shares these values. We hold ourselves and our solutions to the highest standards, which we maintain through constructive code reviews, brainstorming sessions, and pair programming when appropriate. Additionally, we prioritize personal relationships and take the time to get to know each other and our partners. Sound good? We would love to hear from you.

In this position...

The Digital Manufacturing Systems team is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team. The ideal candidate will have a proven track record of successfully designing, developing, and deploying data-driven solutions to complex business problems. This role requires strong technical skills, excellent communication abilities, and the ability to work independently and collaboratively within a team.

What you'll do...

Lead and execute data science projects:  Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. This includes defining project scope, setting timelines, and managing resources effectively.

Develop and implement advanced analytical models:  Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. This may involve a variety of techniques, including regression, classification, clustering, time series analysis, and deep learning.

Data mining and analysis:  Extract, clean, transform, and analyze large datasets from various sources. This involves working with SQL, NoSQL databases, and potentially cloud-based data warehouses.

Develop and maintain data pipelines:  Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training.

Collaborate with cross-functional teams:  Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. Strong communication and presentation skills are crucial.

Mentor junior data scientists:  Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment.

Stay current with the latest advancements in data science:  Continuously learn and explore new techniques and technologies to enhance the team's capabilities.

Contribute to the improvement of data infrastructure and processes:  Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions.

You'll have...

PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience

10 + years of experience as a Data Scientist.

5 + years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

5 + years of experience in statistical modeling, machine learning, and data mining techniques.

3 + years of experience with SQL and NoSQL databases.

Even better, you may have...

PhD degree in Computer Science, Statistics, Data Science, or a related field

Experience with cloud computing platforms (Azure, GCP)

Excellent communication, presentation, and collaboration skills.

Ability to work independently and manage multiple projects simultaneously.

Demonstrated ability to translate business problems into analytical solutions.

Experience with specific industry domains (e.g., manufacturing)

Experience with A/B testing and experimentation

Experience with model deployment and monitoring

Publication record in relevant conferences or journals

Experience with data visualization tools (e.g., Steamlit)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage

Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more

Vehicle discount program for employees and family members, and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service

A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:

https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-LL6-sal-plan-2.pdf

This position is a leadership level 6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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#LI-LA1

Requisition ID  : 38278

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