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Data Analytics Analyst II
Endeavor Health 3.9
Skokie, IL jobs
Hourly Pay Range: $34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Data Analytics Analyst II * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position: onsite 1-2x per week, rotating between Corporate locations. Job Summary: As the Data Analytics Analyst II at Endeavor Health, you will be responsible for providing analytical support to Endeavor Health's Research Institute (RI) as a whole. This includes gathering, analyzing and reporting on various types of data and communicating results of analysis to research teams, corporate and divisional management. This position will serve as key subject matter expert on Endeavor's data and reporting systems which are out of Epic, Data warehouse, Vizient, PowerBI and other reporting tools for customers at all levels of the organization. Endeavor Research Institute is an established research entity of the organization and is among the most prominent and accomplished research organizations in the nation. It has recently undergone a comprehensive transformation into a scalable research entity comprised of 8 Clinical Research Units (CRU) serving every clinical research need of the organization and inspiring new research ideas among clinicians and scientists serving patients of Endeavor Health. The Data Analytics research analytics team is positioned under IT and RI as the 9th CRU, called CRU9 and serves all of the research analytics needs of Endeavor. To be successful in this role, you will be expected to remain updated on the latest solutions and technologies and advocate for the adoption of industry best practices. Our ideal candidate would also have research background, with an additional benefit of having prior exposure to Women's Health Services research. What you will do: * Participate in the analytics-based improvement projects that leverage data collected from electronic medical record to measure patient outcomes. * Gather business requirements by conducting meetings with primary research investigators (PI). * Produces valuable insights from data and contributes to making evidence-based decisions. * Design and develop reports, dashboards, and data insights using skills developed using analytics software and programming languages. * Work with RI scientists and clinicians to analyze data that will help drive decisions on patient centered interventions, compete for new external funding from NIH, NSF, and private sources, support clinical trials with data insights, and help share acquired knowledge from research via journal publications and conference presentations. * Contribute to drafting and refining research manuscripts, providing input on data analysis and data visualization, contributing to the methods, discussion and results sections, ensuring analysis methods and findings are accurately represented. * Assist and coach newer researchers on study design, ensuring adherence to best practices. * Perform data preprocessing, cleaning, and transformation tasks, ensuring datasets are properly structured and ready for analysis. * Partner with the data science team to conduct in-depth data analysis. Ensure the integrity, accuracy, and consistency of research data throughout the process. * Act as a data steward, ensuring adherence to data security and privacy guidelines when sharing data with the research teams. Monitor compliance with data protection protocols, ensuring that all data sharing follows organizational policies and regulatory requirements. * Manage and maintain large datasets, ensuring they are properly stored, organized, and accessible to all research team members. Identify potential issues in data collection or processing and proactively resolve discrepancies or gaps before they impact the research outcomes. * Work with data warehouse experts to design and develop data engineering requirements in the Enterprise Data Warehouse. * Utilize data analysis techniques and tools to assess data quality, identify patterns, trends, and anomalies, and generate insights to improve data reliability * Ensure all developed solutions are tuned to meet acceptable system performance thresholds. * Remains updated on latest healthcare technologies available in the market and promotes the adoption of relevant technologies. Engaged with industry related organizations, such as HIMSS, Epic UGM / XGM, Vizient, Microsoft/PowerBI as appropriate. * Be part of a talented innovative high-performing team that loves what it does, takes pride in its analytics work and impacts across the organization, and is a friendly group where everyone works well with each other. What you will need: * Education: Bachelor's degree in Business, IT, Basic Science or equivalent work experience. Master's or Terminal/Doctorate preferred. * Certification: not required upon hire, will have opportunity to attend training to receive Epic certification(s). * Experience: Five (5) or more years of relevant experience. * Unique or Preferred Skills: * Exposure to electronic health records (EHR) - Epic ideal. * Familiarity with healthcare industry or healthcare information systems. * Statistical or mathematical skills or experience working with statistics packages (Python, SPSS, SAS, R etc.). * Prior work experience in Research. * Prior exposure to data and research projects related to OBGYN/Women's Health Services. * Epic certifications related to data analytics, i.e. Cogito, Clarity, Caboodle, Healthy Planet, Clinical Data. * Strong intellectual curiosity. * 4-year college degree in information systems, computer science, mathematics, finance, statistics, or a related field. * Demonstrated proficiency in writing complex database queries using SQL or other related tools or languages. * Experience and understanding of analytics databases, warehouse, datalakes for both traditional/relational and non-traditional systems (e.g. Oracle, MS-SQL Server, Hadoop, Spark, etc.). * Experience with data visualization tools (e.g. Tableau, Power BI, QlikView, etc.). * Skilled in Utilizing Process/Performance improvement methodologies (IHI, Lean, Six Sigma, etc.). * Analytic, problem solving, and issue resolution skills. * Demonstrated written and verbal communication skills. Benefits (For full time or part time positions): * Incentive pay for select positions * Opportunity for annual increases based on performance * Career Pathways to Promote Professional Growth and Development * Various Medical, Dental, Pet and Vision options * Tuition Reimbursement * Free Parking * Wellness Program Savings Plan * Health Savings Account Options * Retirement Options with Company Match * Paid Time Off and Holiday Pay * Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit *********************** When you work for Endeavor Health, you will be part of an organization that encourages its employees to
$34.4-53.3 hourly 2d ago

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GCP Data engineer
E-Solutions 4.5
Hartford, CT jobs
Role: GCP Data Engineer Must Have Skills: 7+ Years of experience with GCP , Python , Pyspark , SQL GCP Services - Bigquery , Dataproc , Pub/sub , GCP Dataflow. The client will take - Coderpad interview so Python coding is strongly required here.
$110k-154k yearly est. 4d ago
Staff Data Scientist, Machine Learning (Risk)
Gemini 4.9
New York jobs
About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Staff Data Scientist, Machine Learning (Risk) As a Staff Data Scientist focused on Machine Learning for Risk, you'll play a key role in protecting our customers and platform. You'll work cross-functionally with product, engineering, and operations to design and deploy models that detect, prevent, and mitigate fraud risk across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying fraud signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Trust & Safety, Exchange Growth, and Credit Card to improve risk scoring, detect new fraud patterns, and enhance our ability to distinguish bad actors from trusted customers. This is a high-impact, hands-on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities: Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify and prevent fraud, including payment fraud, account takeovers, and identity abuse. Build and maintain end-to-end data and model pipelines for risk scoring, anomaly detection, and behavioral profiling. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve capture rates and reduce false positives. Partner with product managers, engineers, and fraud operations to translate model outputs into effective prevention strategies and user-facing features. Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization. Stay current on emerging fraud tactics and machine learning approaches to continually evolve Gemini's defenses. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 8+ years of experience (5+ years with PhD) applying data science and machine learning to financial, payments, or fraud-related problems. 3+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross-functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master's degree or equivalent experience in a quantitative field. Experience with fraud modelling, risk scoring, or anomaly detection in fintech, banking, or crypto. Familiarity with blockchain data and on-chain analytics for detecting illicit activity. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $168,000 - $240,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1
$168k-240k yearly Auto-Apply 60d+ ago
Principal Data Scientist - Data Asset Evaluation & Strategic Partnership
Experian 4.8
Ansted, WV jobs
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Principal Data Scientist to evaluate new data assets, including M&A targets, strategic partners, and third‑party data providers across the credit lifecycle. You will sit at the intersection of data science, product strategy, and corporate development, rigorously assessing the predictive power, stability, scalability, and regulatory viability of external datasets. You'll partner with Product, Corporate Development, Legal, Risk, and external counterparties. You will report to the VP of Analytics Product Build, Innovation, and Scores. This role is fully remote. You'll have opportunity to: Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud. Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability. Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data. Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models. Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers. Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential. Assess data assets across the full credit lifecycle-acquisition, underwriting, account management, early warning, and loss mitigation. Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development. Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance. Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks. Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated. Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets. Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit. Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking. Qualifications 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms. Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features. Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis. Advanced SQL experience with large, multi-source datasets. Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing). Experience designing incremental value tests, challenger analyses, and controlled experiments. Summarize complex analytical outcomes into clear, defensible business recommendations. Comfortable presenting in high‑visibility, decision-oriented environments. Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams. Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations. Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage. Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products. Exposure to ML models used for underwriting, fraud, or early-warning systems. Experience building standardized evaluation frameworks or internal analytics guides. Understanding of data commercialization and productization considerations. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
$71k-101k yearly est. 3d ago
Data Scientist, Innovation Lab (US Remote)
Experian 4.8
Ansted, WV jobs
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable. As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist You'll have opportunity to: Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. Innovate with tools designed for data processing and information retrieval. Dissect and document vast datasets, analyzing them to highlight patterns and insights. Solve complex challenges by developing impactful algorithms. Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. Articulate model processes and outcomes, documenting and presenting findings and performance metrics. Qualifications Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. 1 or more years of experience in AI, data science, or predictive modeling Proficiency in at least one programming language, with coding skills in Python Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning. Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. Experience with large data analysis using Spark (py Spark) Experience with LLMs and the relevant tools in the Generative AI domain. Experience developing advanced language models Experience applying Generative AI-based tools Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongo DB, Cassandra. Experience modifying and applying advanced algorithms to address practical problems Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: ************************************************ Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid
$71k-101k yearly est. 6d ago
Data Scientist - Fraud Risk
Rain 3.7
New York, NY jobs
About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain's next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you'll do Own the metrics, dashboards, and reports that inform business strategy and decision-making Design and implement real-time monitoring systems for fraud signals and alerting thresholds Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers Effectively summarize complex analytical results to leadership and non-technical stakeholders Assist partners when they have fraud concerns with their traffic What we're looking for Advanced proficiency in SQL and Python 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models Skilled in designing, building, and maintaining dashboards and fraud risk metrics The ability to manage ambiguous problems and find solutions High autonomy, including the ability to prioritize your workload effectively Relevant quantitative bachelor's (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.) Nice to have, but not mandatory Experience at a high-growth fintech company or financial services company Exposure to customer-facing or GTM-facing analytics or fraud issue triaging Background in identity risk, AML, payments fraud, or compliance analytics Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you'd like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.
$87k-128k yearly est. Auto-Apply 13d ago
Principal Data Scientist, Machine Learning (Growth)
Gemini 4.9
New York jobs
About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Principal Data Scientist, Machine Learning (Growth) As a Principal Data Scientist focused on Machine Learning for Growth, you'll play a key role in improving our customer experience from onboarding to new product adoption. You'll work cross-functionally with product, engineering, and operations to design and deploy models that improve customer onboarding and product adoption across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying growth signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Marketing, Exchange Growth, and Credit Card to profitably improve customer growth. This is a high-impact, hands-on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at our San Francisco or New York City. Responsibilities: Analyze large, complex datasets to identify opportunities to proactively improve onboarding and product adoption opportunities and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify growth opportunities, including lifetime value, marketing channel optimization, and product cross-sell models. Build and maintain end-to-end data and model pipelines for marketing and growth, including onboarding & adoption anomaly detection and behavioral profiling of growth drivers. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve adoption rates and improve customer acquisition cost. Partner with product managers, engineers, and customer service operations to translate model outputs into effective growth strategies and user-facing features. Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization. Mentor and guide more junior and mid-level data scientists & machine learning engineers: lead code reviews, design reviews, and best practice evangelism. Help recruit and onboard new talent, shaping the future of Gemini's machine learning discipline. Stay up to date on new tools, technologies, and machine learning approaches, bringing proposals and proof-of-concepts when appropriate. Minimum Qualifications: 10+ years of experience (7+ years with PhD) applying data science and machine learning in financial, payments, or B2C platforms. 5+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross-functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master's degree or equivalent experience in a quantitative field. Domain expertise in crypto / blockchain / Web3 data (on-chain data, DeFi protocols, transaction analytics). Experience with lifetime value, marketing mix, or product recommendation models in fintech, banking, or crypto. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $192,500 - $275,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1
$88k-127k yearly est. Auto-Apply 60d+ ago
Principal Data Scientist - Data Asset Evaluation & Strategic Partnership
Experian 4.8
Costa Mesa, CA jobs
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. We are looking for an experienced Principal Data Scientist to evaluate new data assets, including M&A targets, strategic partners, and third‑party data providers across the credit lifecycle. You will sit at the intersection of data science, product strategy, and corporate development, rigorously assessing the predictive power, stability, scalability, and regulatory viability of external datasets. You'll partner with Product, Corporate Development, Legal, Risk, and external counterparties. You will report to the VP of Analytics Product Build, Innovation, and Scores. This role is fully remote. You'll have opportunity to: + Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud. + Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability. + Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data. + Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models. + Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers. + Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential. + Assess data assets across the full credit lifecycle-acquisition, underwriting, account management, early warning, and loss mitigation. + Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development. + Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance. + Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks. + Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated. + Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets. + Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit. + Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking. + 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms. + Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features. + Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis. + Advanced SQL experience with large, multi-source datasets. + Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing). + Experience designing incremental value tests, challenger analyses, and controlled experiments. + Summarize complex analytical outcomes into clear, defensible business recommendations. + Comfortable presenting in high‑visibility, decision-oriented environments. + Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams. + Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations. + Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage. + Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products. + Exposure to ML models used for underwriting, fraud, or early-warning systems. + Experience building standardized evaluation frameworks or internal analytics guides. + Understanding of data commercialization and productization considerations. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
$109k-153k yearly est. 34d ago
Data Scientist, Innovation Lab (US Remote)
Experian 4.8
Costa Mesa, CA jobs
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. The Experian Innovation Lab (********************************************** is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable. As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist You'll have opportunity to: + Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. + Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. + Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. + Innovate with tools designed for data processing and information retrieval. + Dissect and document vast datasets, analyzing them to highlight patterns and insights. + Solve complex challenges by developing impactful algorithms. + Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. + Articulate model processes and outcomes, documenting and presenting findings and performance metrics. + Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. + 1 or more years of experience in AI, data science, or predictive modeling + Proficiency in at least one programming language, with coding skills in Python + Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning. + Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. + Experience with large data analysis using Spark (py Spark) + Experience with LLMs and the relevant tools in the Generative AI domain. + Experience developing advanced language models + Experience applying Generative AI-based tools + Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongo DB, Cassandra. + Experience modifying and applying advanced algorithms to address practical problems Benefits/Perks: + Great compensation package and bonus plan + Core benefits including medical, dental, vision, and matching 401K + Flexible work environment, ability to work remote, hybrid or in-office + Flexible time off including volunteer time off, vacation, sick and 12-paid holidays + Explore all our exciting benefits here: ************************************************ Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid
$109k-153k yearly est. 7d ago
Data Scientist - Marketing Mix Modeling
Making Science 3.6
Remote
Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet - the world's premier network of independent media agencies - we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person's contribution is essential to achieve our success. Do you want to be part of this great family? Some details about your department The Data Science team will focus on designing and building our Digital Marketing Solutions that leverage data science technologies and techniques. Additionally the team will ensure that data science practices are shared and common where possible across the Data Science Products and Customer Delivery functional areas. The Data Science will merge product management, business analytics and data science to drive continuous improvement of the org's overall analytical capabilities and ability to generate actionable insights at scale. What we'd like you to do The Data Scientist MMM is a hands-on data science role that builds, maintains, and validates statistical marketing mix models to quantify the effectiveness of a client's marketing investments. This role is responsible for the technical core of the MMM process, from data engineering to model deployment and optimization. The ideal candidate has a strong background in econometrics, statistical modeling, and programming while being familiar with advertising and media industry practices. Key Responsibilities: * Data Preparation: Collect, clean, and integrate large, disparate datasets from various sources, including advertising spend, sales, pricing, and external factors (e.g., seasonality, competitor activity). * Model Development: Design and build custom Marketing Mix Models using advanced statistical techniques like multivariate regression and Bayesian modeling to isolate the incremental impact of each marketing channel. * Model Validation: Conduct rigorous model validation through back-testing and cross-validation to ensure accuracy and robustness. * Technical Implementation: Automate data workflows and model pipelines using programming languages like Python (NumPy, Pandas, Scikit-learn) or R. * Performance Analysis: Analyze and have a deep understanding of media spend (investment and return) to assess and measure the performance of client marketing campaigns. * Research & Development: Stay current with the latest trends in marketing measurement, contributing to the development of new modeling techniques and frameworks. * Collaboration: Work closely with the client-facing team to provide technical support and ensure the model's outputs are well-understood. Ensure model architecture is aligned with core business questions and designed to output metrics that directly address client problematics. What we'd like you to bring * Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, or Data Science. * Proven experience in building and interpreting statistical or econometric models. * Familiarity with MMMs such as Google Meridian or other providers is a plus. * Strong proficiency in Python or R for data analysis and modeling. * Experience with SQL for data extraction and manipulation. * Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus. ️Perks of joining us We offer a competitive salary according to your worth and experience. We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home. Health, vision, and dental insurance included. 401k plan with company contribution. The opportunity to meet our international team with our Ambassadors Program. 15 paid days off per year of holidays (plus bank holidays). You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. The opportunity to work in a fast-growing company with peers who will challenge you to grow each day.
$91k-134k yearly est. 60d+ ago
Data Scientist - Marketing Mix Modeling (MMM)
Making Science 3.6
Remote
Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet - the world's premier network of independent media agencies - we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person's contribution is essential to achieve our success. Do you want to be part of this great family? 📝Some details about your department The Data Science team will focus on designing and building our Digital Marketing Solutions that leverage data science technologies and techniques. Additionally the team will ensure that data science practices are shared and common where possible across the Data Science Products and Customer Delivery functional areas. The Data Science will merge product management, business analytics and data science to drive continuous improvement of the org's overall analytical capabilities and ability to generate actionable insights at scale. 🎯 What we'd like you to do The Data Scientist MMM is a hands-on data science role that builds, maintains, and validates statistical marketing mix models to quantify the effectiveness of a client's marketing investments. This role is responsible for the technical core of the MMM process, from data engineering to model deployment and optimization. The ideal candidate has a strong background in econometrics, statistical modeling, and programming while being familiar with advertising and media industry practices. Key Responsibilities: Data Preparation: Collect, clean, and integrate large, disparate datasets from various sources, including advertising spend, sales, pricing, and external factors (e.g., seasonality, competitor activity). Model Development: Design and build custom Marketing Mix Models using advanced statistical techniques like multivariate regression and Bayesian modeling to isolate the incremental impact of each marketing channel. Model Validation: Conduct rigorous model validation through back-testing and cross-validation to ensure accuracy and robustness. Technical Implementation: Automate data workflows and model pipelines using programming languages like Python (NumPy, Pandas, Scikit-learn) or R. Performance Analysis: Analyze and have a deep understanding of media spend (investment and return) to assess and measure the performance of client marketing campaigns. Research & Development: Stay current with the latest trends in marketing measurement, contributing to the development of new modeling techniques and frameworks. Collaboration: Work closely with the client-facing team to provide technical support and ensure the model's outputs are well-understood. Ensure model architecture is aligned with core business questions and designed to output metrics that directly address client problematics. 🔊 What we'd like you to bring Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, or Data Science. Proven experience in building and interpreting statistical or econometric models. Familiarity with MMMs such as Google Meridian or other providers is a plus. Strong proficiency in Python or R for data analysis and modeling. Experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus. ✔️Perks of joining us We offer a competitive salary according to your worth and experience. We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home. Health, vision, and dental insurance included. 401k plan with company contribution. The opportunity to meet our international team with our Ambassadors Program. 15 paid days off per year of holidays (plus bank holidays). You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. The opportunity to work in a fast-growing company with peers who will challenge you to grow each day.
$91k-134k yearly est. 60d+ ago
Data Scientist
Rapp 4.8
Los Angeles, CA jobs
RAPP Los Angeles is looking for a Data Scientist to join our award-winning Marketing Sciences team. WHO WE ARE: We are RAPP - world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviors, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. HOW WE DO IT: At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning. Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it - ensuring we're able to activate authentic customer connections for our clients. Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets. YOUR ROLE: We are seeking a highly skilled Data Scientist with deep expertise and understanding in statistical methods, machine learning models, Retrieval-Augmented Generation (RAG) architectures and neural networks. The ideal candidate will play an important role in researching, developing, and deploying advanced AI/ML solutions that drive business impact. Under the direction of the Director, Data Science, the Data Scientist will work cross-functionally to solve complex problems and deliver innovative, production-grade models. RESPONSIBILITIES: Analyzes large and small internal and external datasets to extract actionable insights Develop statistical/ machine learning models to drive targeting, messaging and strategic decision-making, which may include and is not limited to: Marketing Mix (MMM) and Marketing Attribution (MTA) models Profile-based, Behavioral, LTV and other customer segmentation models Response, look-alike, loyalty, net lift and other sales models Survival Analysis, In-market and other timing models Leads, sales and other KPI forecasting models Support iteration and feature enhancement of existing models Create new or challenger models with methods, data, and/or tools that are currently not in production. Aid in code standardization, review, and versioning to increase efficiency and streamline process Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences REQUIREMENTS: Master's degree in computer science, Data Science, , Statistics, Mathematics, Economics, or related discipline 1-2 years' experience applying statistical -mathematical analysis and/or analytics-based programming to model, forecast and/or answer tactical and strategic questions. Working knowledge of database marketing principles, and databases and structure Proficient in Python. Familiarity with AI/Neural Networks. Ideal candidate will have some experience with SparkML and/or other programming languages and API packages Strong written and verbal communication skills Our hybrid work model: RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit ************************ A reasonable estimate of the salary for this role, at the time of posting, is $85,000 - $93,500. This range is specific to Los Angeles and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply. “As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.” NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
$85k-93.5k yearly Auto-Apply 60d ago
Data Scientist II - Marketing Science
Industrial Light & Magic 4.0
New York jobs
Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions Strong coding experience in one (or more) data programming languages like Python/R Ability to draw insights and conclusions from data to inform model development and business decisions Experience in SQL Preferred Qualifications Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2500 Broadway Street, USA - WA - 925 4th Ave Date Posted: 2025-12-01
$123k-165k yearly Auto-Apply 10d ago
Lead Data Scientist
Love's 3.5
Oklahoma City, OK jobs
Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Lead Data Scientist is a hands-on analytics leader responsible for advancing marketing and customer analytics across Love's convenience store network. This role blends deep technical expertise with people leadership, owning high-impact analytical initiatives that influence revenue growth, customer experience, and marketing effectiveness. Job Functions: Develop deep understanding of Love's business, including products, strategy, customers, and performance, and guide your team in aligning analytics initiatives with business priorities Collaborate with Marketing and other business units to understand needs and design analytical approaches, then lead your team in implementing advanced analytics and machine learning solutions for key domains such as marketing and operations to deliver actionable insights Contribute to the development of enterprise-wide analytics strategy and roadmap, representing the team's perspective Utilize statistical programming languages (R, Python, SAS) to manipulate data and extract insights from large datasets, ensuring team members follow best practices Apply advanced statistical techniques (e.g., A/B testing) and machine learning methods (e.g., time series forecasting, clustering) to solve business problems Supervise and develop a team of data scientists, analysts, and/or analytics engineers by setting goals, managing performance, providing feedback, and fostering a collaborative, high-performing environment Promote best practices in data science methodologies, modeling, experimentation, documentation, and model governance across the team Prioritize team workload and manage delivery timelines in alignment with strategic objectives Identify gaps in measurement and data solutions and lead efforts to recommend and implement improvements that maximize analytics impact Communicate complex insights clearly to stakeholders through presentations, reports, and visualizations, coaching team members on effective storytelling Partner with data engineering to ensure scalable and robust data infrastructure that supports team objectives Stay current with industry trends and emerging tools, introducing innovative techniques into the team's practice Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 6+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: 6+ years of experience querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate
$67k-94k yearly est. 42d ago
Data Scientist
Love's 3.5
Oklahoma City, OK jobs
Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Data Scientist will support the Love's business through a variety of analytical and statistical projects focused on marketing and customer analytics, including supporting strategic decision making and measurement of key marketing initiatives. Job Functions: Learn the Love's business. Develop deep fluency in the composition, roles, and contributions of Love's products, strategy, and customers, as well as Love's business performance Work with multiple data platforms to perform ad hoc reporting, database mining, and analysis that provide a better understanding of the customer Partner with Marketing and other business units to gather requirements and deliver actionable insights Incorporate advanced statistical techniques and machine learning concepts (time series forecasting, clustering, neural network) to solve business problems Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets Develop processes and tools to monitor and analyze model performance and data accuracy Utilize predictive modeling to increase and optimize customer experience, store features, revenue, and other business outcomes Apply A/B testing framework and test model quality Analyze customer-level data to measure advertising effectiveness and optimize campaigns Create presentations and deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allow for business understanding and action Support any existing and future reporting or analytical needs Coordinate with outside data and analytics vendors Other duties assigned as needed Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 1-2+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: Proficiency querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate
$67k-94k yearly est. 5d ago
Data Scientist II - Segmentation Data Science
Industrial Light & Magic 4.0
Santa Monica, CA jobs
Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - NY - 7 Hudson Square Date Posted: 2025-08-20
$120.8k-168.7k yearly Auto-Apply 32d ago
Data Scientist, Marketing
Captions 3.8
Union, NJ jobs
Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role We're looking for a Data Scientist to help power our marketing strategy. In this role, you'll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company's growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.
$76k-105k yearly est. 7d ago
Data Scientist, Product
Captions 3.8
Union, NJ jobs
Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.
$76k-105k yearly est. 7d ago
Lead Data Scientist
J.D. Power 4.7
Michigan jobs
The Role: As part of the Data and Analytics division of JD Power, you will work to understand the features that drive the price of a vehicle and predict what future vehicle values will be, and other critical insights for the sector. Our data science team is accountable for every data point we output and provides accurate, transparent, industry-leading analytics. We are looking for a Data Scientist who will have the freedom to utilize the latest technologies to solve challenging problems, create innovative machine learning processes from the ground up, deploy them into production. We are a mature and tight-knit data science team looking to add another top-shelf team member who is ready to make a difference in the automotive industry. Join us! The Impact: We make data products and every new data product we output will solve a problem in the auto industry. Every Data Scientist will build models that go into production and directly impact our core products. About the Job: Daily immersion in automotive industry data Involved in strategic planning and decision-making for data science initiatives. Independently create decks to make highly technical predictions relatable to the automotive industry Documentation of machine learning processes Deep expertise in advanced feature engineering and AI/ML model building. Development and consulting expert in SQL, Python, Advanced Excel along with a framework such as AWS SageMaker or Palantir Data Science Integrations. Collaborate closely with technology and engineering teams to improve existing processes and build out new ones Work with the product team to develop the analytics that will power new products Leads PI (Program Increment) planning for activities to be conducted in the next quarter, with limited supervision, for major developmental modules or projects . Create visual reports for internal and external clients that summarize findings Team environment that encourages the sharing of ideas to build the best predictive algorithms Ad-hoc data analysis and reporting What You Need: Demonstrated expertise with data analytics and/or statistical concepts such as: regression, logistic regression, time-series modeling, Bayesian statistics, machine learning, data mining, simulation, optimization, and/or forecasting Ability to communicate technical processes to a lay audience Presentation experience Curiosity and passion for solving problems with data 8+ years of professional experience working with large datasets 8+ years of professional experience and full fluency with statistical programming software (including Python, Spark) 8+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL) - full mastery of some flavor of SQL Master's Degree in Statistics, Data Science, Economics, or a related technical field Nice to Have: Experience with automotive market data Professional expertise deploying cloud-based ML Ops systems Experience working with AWS tools (Sagemaker, Glue, Batch, Lamdba…) Some shareable examples of data visualizations you have created Experience deploying machine learning models into production with an API PhD in Statistics, Data Science, Economics, or related field The Career Opportunity: Grow as a full-stack data scientist in a medium-sized team. You will pipeline data, build models, deploy them in the cloud, and build monitoring suites. Company Mission J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients' toughest challenges. Our Values At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture. J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Should you require accommodations during the recruitment and selection process, please reach out to **********************. J.D. Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, J.D. Power has international sites and J.D. Power uses resources located throughout the world. J.D. Power may from time to time also use third parties to act on J.D. Power's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within J.D. Power group of companies as well as to third parties acting on J.D. Power's behalf, including also transfers to servers and databases outside the country where you provided J.D. Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here. To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.
$69k-99k yearly est. Auto-Apply 14d ago
ASSOCIATE DATA SCIENTIST
McCormick 4.4
Indiana jobs
At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America Position Overview This role will be responsible for applying data mining techniques, cleaning data, incorporating AI and predictive models, and visualizing data to solve problems and innovate new ways of working for the global business. Effective communication skills, organization, innovative thinking, and a will to learn current business processes and new data science techniques are essential. Key Responsibilities: Description- * Translate data & analytics into business insights by working with global leaders and regional functional teams. * Design workflow with models using AI and machine learning models * Enhance data collection procedures to include information that is relevant for building analytic systems and to include more automation * Build workflows with advanced algorithms and models such as OCR, Translation, Generative AI etc. on data to extract or transform data to conform to business needs. * Identify, process, cleanse, and verify the integrity of data used for analysis Secondary Responsibilities: * Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion * Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digital transformation Required Qualifications Level of Education and Discipline: * Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field * Level of Education and Discipline: Master's Degree in related field Experience - functional/industry/commercial knowledge, business acumen: * Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets * Demonstrated ability coding in one or more languages (Python preferred) * Experience with data visualization software (Power BI preferred) * Experience working with statistical models and AI algorithms Interpersonal Skills - leadership, interactions, communication, influence: * Strong technical curiosity and passion for problem solving and innovation * Ability to simplify and communicate complex information to internal audiences * Ongoing aspiration to learn about new industry tools * Continuous improvement mindset with the ability to use a systemic approach to problem solving & Ability to work with different regions and cultures Technical Skills- * Experience with Cloud based tools (Azure preferred) * Experience with an ERP system - SAP preferred. * Technical knowledge for Data environments, transformation, and ML Opps * Ability to connect the dots between complex data/analytics and business application * Technical knowledge for backend development * Experience training and working with ML models and AI algorithms Work Environment: Office At McCormick, we have over a 100-year legacy based on our "Power of People" principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical value WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you'll be empowered to focus on more than your individual responsibilities. You'll have the opportunity to be part of something bigger than yourself-to have a say in where the company is going and how it's growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.
$65k-92k yearly est. 3d ago