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) .

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.

​

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

Specialty/Competency: Data, Analytics & AI

Industry/Sector: EUR X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Apply a learning mindset and take ownership for your own development.

Appreciate diverse perspectives, needs, and feelings of others.

Adopt habits to sustain high performance and develop your potential.

Actively listen, ask questions to check understanding, and clearly express ideas.

Seek, reflect, act on, and give feedback.

Gather information from a range of sources to analyse facts and discern patterns.

Commit to understanding how the business works and building commercial awareness.

Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Job Requirements and Preferences

Basic Qualifications

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Management Information Systems & Accounting,Management of Technology,Systems Engineering,Mathematical Statistics,Mathematics,Electrical Engineering,Industrial Engineering,Computer and Information Science & Accounting

Minimum Year(s) of Experience

1 year(s)

Preferred Qualifications

Preferred Knowledge/Skills

Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs:

Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients

Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach

Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases

Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds

Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases

Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;

Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;

Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;

Structuring, write, communicate and facilitate client presentations; and,

Directing associates through coaching, providing feedback, and guiding work performance.

Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

Managing AI/GenAI application development teams including back-end and front-end integrations

Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization

Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev

Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms

Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $75,000 - $118,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.

We are seeking a highly motivated and experienced Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change.

Why Join Cardinal Health's AI CoE?

Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry.

Work with a Passionate Team: Join a team of highly skilled data scientists who are committed to pushing the boundaries of AI in healthcare.

Grow and Develop: Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment

Responsibilities:

Lead the Development of Innovative AI solutions: You will be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry. This will involve leveraging your expertise in areas such as:

Machine Learning (ML): Developing advanced ML models for forecasting, classification, risk prediction, and other critical applications.

Generative AI: Exploring and leveraging the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction.

RAG Technologies: Building robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs.

Shape Our AI Strategy: You will work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. You will be a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives.

Guide and Mentor a Team of Data Scientists and ML Engineer: You will provide technical guidance, mentorship, and support to a team of skilled geographically distributed data scientists, fostering a collaborative and innovative environment that encourages continuous learning and growth.

Embrace a AI-Driven Culture: You will foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

Qualifications:

4-8 years of experience, preferred

Bachelor's degree in computer science or related field, or equivalent work experience, preferred

Proven AI/ML Expertise: Minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions.

GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases.

Healthcare Data Acumen: Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred.

Cloud Computing Expertise: Experience working with cloud platforms like Google Cloud Platform (GCP), Azure, or AWS for data processing, model training, evaluation, monitoring, deployment and support.

Leadership and Communication: Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences.

Strong Technical Skills: Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools.

CI/CD Automation: Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments.

REST API Development: Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems.

Software Engineering Best Practices: Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations.

Data Engineering: Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling.

Agile Methodologies: Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices.

DevSecOps: Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle

Anticipated salary range: $93,500 - $133,600

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Access to wages before pay day with myFlexPay

Flexible spending accounts (FSAs)

Short- and long-term disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Application window anticipated to close: 02/04/2025 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

#LI-Remote

#LI-AP4

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

To read and review this privacy notice click here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.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.

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Data Scientist Jobs in Columbia, SC

Data Scientist Adobe ExpertDecember 25, 2024

Lead Data ScientistDecember 25, 2024

Ai Genai Data Scientistexperienced AssociateDecember 25, 2024

Data Scientist Ai CoeDecember 23, 2024

Senior Data ScientistDecember 22, 2024