At Acxiom, our vision is to transform data into value for everyone. Our data products and analytical services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking an Expert Data Scientist with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxioms business. *This role can be located almost anywhere in the U.S. As part of the Data Science & Analytics Team, the Expert Data Scientist will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. The Expert Data Scientists responsibilities include collaborating with stakeholders to identify business requirements, leverage Acxioms internal and client data sources creatively, build models, analyze and visualize results, review compliance requirements, and integrate the solution into innovative data products. The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. This role will focus on developing state-of-the-art machine learning models and solutions in the healthcare vertical. **What you will do:** **Modeling:** + Combine healthcare data, domain expertise & knowledge of machine learning and AI to develop high performant & predictive models + Assist with the validation and delivery of healthcare data products or enhancements + Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products **Product Development, Operationalization and Measurement:** + Collaborate with product team, other data scientists to define project requirements including data sources, algorithms, and specific model implementation + Collaborate with internal and external stakeholders to understand business goals and product economics, and identify relevant KPIs to assess product in-market performance + Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation + Offer ideas for product and/or process improvements such as automation related to focus area of work + Partner with agencies in developing closed loop measurement solutions **Quality Assessment and Governance** + Monitor model performance and adjust models as directed by team leads and senior data scientists + Perform analysis, maintenance and upgradation of existing models & data products + Be familiar with HIPAA and data governance laws. Sustain and enhance appropriate QA processes & controls for data and process governance. **What You Will Have:** + Bachelors Degree in a quantitative field (Applied Mathematics, Applied Statistics, or Computer Science) or related degree programs and/or 8-10 years of relevant work experience + 6+ years of working in Healthcare domain and prior experience working with healthcare data assets + Strong analytical acumen, ability to work with large volumes and diverse datasets to develop modeled data products + Self-starter, strong communication skills and ability to communicate complex AI and Machine Learning concepts to non-technical audiences. + Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insights to generate consistently accurate and useful analyses and models + Working knowledge or experience with one or more of the following tools: R, Python, Scala, Spark/pyspark or similar programming language + 7+ years experience in building models and applying ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.) + Expert at model training approaches, hyperparameter tuning, and model evaluation approaches + 7+ years of experience in deploying ML models into production applications + 5+ years of experience building ETL transformation, modeling & data pipelines + 5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) + Experience with Microsoft Excel, and PowerPoint Outstanding troubleshooting, attention to detail, and communication skills (verbal/written) in a fast paced setting + Solid communication skills: Demonstrated ability to explain complex technical issues to technical and non- technical audiences. **What will set you apart:** + Knowledge of Deep Learning, Neural Network based on modeling frameworks a plus + Knowledge of container based model deployment (Docker, Kubernetes) as plus + Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields + At least 6 years of experience in advanced analytics techniques in a consulting/healthcare space and not solely in an academic environment + Experience with using tools such as Airflow, KubeFlow for model deployment a plus + Experience with model building using H2O or similar machine learning platforms **#GD17** **Primary Location City/State:** Homebased - Conway, Arkansas **Additional Locations (if applicable):** 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, weve 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. Were one of the marketing industrys most experienced, respected and forward-thinking leaders. For nearly fifty years, weve helped the worlds 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 youre 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. Were 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) .

Job Description This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. The Role: 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 GMs 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: <ul><li>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. </li><li>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. </li><li>Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing. </li><li>Identify long-term technical innovations while continuously improving execution efficiency. </li><li>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. </li><li>Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. </li><li>Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. </li><li>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. </li><li>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. </li> </ul>Your Skills & Abilities (Required Qualifications): <ul><li>Masters Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field. </li><li>Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models. </li><li>Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. </li><li>Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1 and more. </li><li>Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. </li> </ul>What Will Give You a Competitive Edge (Preferred Qualifications): <ul><li>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. </li> </ul>Additional Job Description Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. <ul><li>The salary range for this role is $116,100 - $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. </li><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li> </ul>Benefits: <ul><li>Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. </li><li>A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review </li> </ul>? GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE #LI-HF1 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. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Data Scientist Jobs in East Montpelier, VT

Expert Data Scientist
July 24, 2024

Data Scientistengineer
July 19, 2024

Senior Data Scientist Product And Field Operations
July 16, 2024

Senior Data Scientist Remote
July 9, 2024

Staff Data Scientist Marketing Applied Sciences
July 9, 2024

Staff Data Scientist Marketing Applied Sciences
July 7, 2024

Senior Data Scientist
July 6, 2024

Financial Crimes Unit Risk Architecture Data Scientist Pythonsql Senior Associate
July 1, 2024

Ec Compliance Monitoring Data Scientist
July 1, 2024

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Data Scientist Jobs in East Montpelier, VT

Expert Data ScientistJuly 24, 2024

Data ScientistengineerJuly 19, 2024

Senior Data Scientist Product And Field OperationsJuly 16, 2024

Senior Data Scientist RemoteJuly 9, 2024

Staff Data Scientist Marketing Applied SciencesJuly 9, 2024

Staff Data Scientist Marketing Applied SciencesJuly 7, 2024

Senior Data ScientistJuly 6, 2024

Financial Crimes Unit Risk Architecture Data Scientist Pythonsql Senior AssociateJuly 1, 2024

Ec Compliance Monitoring Data ScientistJuly 1, 2024