Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product developments biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their products ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You wont simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Scientist, Product Analytics Responsibilities: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications: Preferred Qualifications: Masters or Ph.D. Degree in a quantitative field. Public Compensation: $109,000/year to $171,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

For more than 12 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. In this market also our candidates get multiple job offers and $100k + salaries. please check the below links to see success outcomes of our candidates . https://www.synergisticit.com/candidate-outcomes/ https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates https://www.youtube.com/watch?v=OFoqPTNORew https://www.youtube.com/watch?v=-HkNN1ag6Zk https://www.youtube.com/watch?v=OAFOhcGy9Z8 https://youtu.be/bJJl27D8bh0 We want Data Science/Machine learning/Data Analyst and Java Full stack candidates For data Science/Machine learning Positions REQUIRED SKILLS Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Data Scientist Company: Norstella Location: Remote, United States Date Posted: Aug 22, 2024 Employment Type: Full Time Job ID: R-534 Description About Norstella At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quickerand help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: Citeline accelerate the drug development cycle Evaluate bring the right drugs to market MMIT identify barrier to patient access Panalgo turn data into insight faster The Dedham Group think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. Job description Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. Key duties and responsibilities In this role as a Data Scientist, you will: Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams Contributes towards the common data science platform Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments Key requirements 3+ years of experience developing AI / ML applications and data driven solutions Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques Deep understanding of CS fundamentals, computational complexity and algorithm design Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems Experience mentoring junior team members Excellent problem solving and communication skills Nice to have M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. Knowledge of the healthcare domain and experience with applying AI to healthcare data Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs Our Guiding Principles at Norstella 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesnt. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. Benefits: Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off The expected base salary for this position ranges from $100,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

General Motors Staff Data Scientist, Marketing Applied Sciences Pierre, South Dakota Apply Now The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources. They also have expertise in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc.), measurement of ROAS lift, and coordination of tactics through sequencing and frequency caps.
This person will work closely with stakeholders in GM’s vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. They will be responsible for developing advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
What You'll Do:
Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units.
Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses. Undertake preprocessing of structured and unstructured data. Monitor and sustain model effectiveness. Present complex information using data visualization techniques.
Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing.
Identify long-term technical innovations while continuously improving execution efficiency.
Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.
Your Skills & Abilities (Required Qualifications):
Master’s Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models.
Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.
Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1, and more.
Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
What Will Give You a Competitive Edge (Preferred Qualifications):
Desired expertise in marketing analytics and advanced methods such as customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard/survival models, structural equation modeling, item response theory, latent class regression.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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Become a part of our caring community and help us put health first Humana is seeking a Data Scientist 2 to join our company, which is ranked #40 on the Fortune list and recognized as one of the Best Places to Work. Help us make a significant impact as we assist our members in achieving their best health! This Data Scientist 2 position will join our Site Reliability Engineering (SRE) team to help identify data sets that are impactful to the SRE organization and ensure quality, consistency, and accuracy of the data. Additionally, this individual will help establish processes and procedures for gathering, validating, analyzing, and reporting data sets. In this role, you will also present information using data visualization and dashboarding techniques. The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Data Scientist 2: 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. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Identifies, pulls, reviews, and validates data sets. Ensures quality, consistency, and accuracy of datasets. Analyzes large, complex data sets to extract insights and support decision making. Develops predictive models. Presents information using data visualization techniques. Proposes solutions to business challenges. Use your skills to make an impact Required Qualifications Bachelor's Degree 4 years technical experience Experience with data visualization tools, such as Power BI, Tableau, Qlik, etc. Experience with SQL queries Experience working with large databases 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 Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas Capable of making decisions regarding own work methods, occasionally in ambiguous situations Preferred Qualifications Master's Degree Experience with the Azure data ecosystem Financial knowledge Experience working with ServiceNow ticket data Experience with Power BI 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.$86,600 - $119,200 per yearThis 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. 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.

Job Description:Sharecare is the leading digital health company that helps people no matter where they are in their health journey unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.Job Summary:Sharecare is searching for a Data Scientist/Statistician who will support our product, delivery, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and media delivery process optimization and using models to identify target audiences. The Sharecare Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/she must have a proven ability to understand business requirements, applying data analysis techniques to uncover opportunities that drive business results with data-based insights. He/she must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large disparate data sets and working with stakeholders to improve business outcomes.Essential Functions:Formulates efforts for guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic ML/statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employs programming to clean, massage, and organize the data.Develops and designs experiments against data points to provide information based on experiment results to uncover new solutions to data challenges.Works with cross functional team including with Data Engineers to establish requirements for and/or build data environments for modeling.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and media campaign optimization strategies.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Develop company A/B testing framework and test model quality.Lead efforts to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Develop and mentor data team to support Life Sciences team needsQualifications:Masters degree in operations research, Industrial Engineering, Applied Mathematics, Statistics, Economics, Computer Science, or related fieldsFluency in statistics/statistical methods4+ years of professional experienceProficient with one or more ML/statistical languages (Python, R, SAS etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationAbility to multitask, manage tight deadlines, and work effectively with cross functional teams in an ever-changing and exciting environmentAbility to interpret results and apply to business problemsStrong communication skills (written and verbal) with results orientated mindsetExperience with digital media preferredExperience in pharmaceutical industry a plusSharecare and its subsidiaries are Equal Opportunity Employers and E-Verify users. Qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, sexual orientation, gender identity, religion, age, equal pay, disability, genetic information, protected veteran status, or other status protected under applicable law.Sharecare is an Equal Opportunity Employer and doesn't discriminate on the basis of race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status,or other non-merit factor.

Data Scientist Jobs in Pierre, SD

Data Scientist Product Analytics
August 26, 2024

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Data Scientist
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Staff Data Scientist Marketing Applied Sciences
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Data Scientist Site Reliability Engineering
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Data Scientist Remote
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Remote Data Scientistengineer Entry Level
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Data Scientist 2
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Data Scientist Jobs in Pierre, SD

Data Scientist Product AnalyticsAugust 26, 2024

Remote Data Scientistengineer Entry LevelAugust 26, 2024

Data ScientistAugust 25, 2024

Staff Data Scientist Marketing Applied SciencesAugust 22, 2024

Data Scientist Site Reliability EngineeringAugust 22, 2024

Data Scientist RemoteAugust 19, 2024

Remote Data Scientistengineer Entry LevelAugust 19, 2024

Data Scientist 2August 11, 2024