> Markdown version of [/jobs/ext/731748-data-scientist](https://www.wearedevelopers.com/jobs/ext/731748-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** PAYACTIV, INC - **Location:** Milpitas, CA, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Extract Transform Load (ETL), Data Transformation, Data Visualization, Relational Databases, Python (Programming Language), NumPy, Power BI, Tensorflow, Rule Engine, SQL Databases, Tableau (Software), Feature Engineering, Pytorch, Snowflake, Pandas, Scikit Learn, Xgboost, Performance Monitor, Looker Analytics, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0e17ae5e2e995c7f ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree in statistics?, * Bachelor's degree in quantitative discipline - Data Science, Engineering, Statistics, Mathematics, Economics, etc. * 2+ years of experience in Data Science, Engineering or a closely related role. * Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities. * Strong business acumen - able to connect analytical work to business outcomes, prioritize the highest-impact problems, and influence decisions across cross-functional partners. * Proven proficiency in SQL and Python (pandas, NumPy, and ML frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow), with experience in data transformation, wrangling, and analysis against multi-million-row datasets. * Solid working knowledge of relational databases - comfortable writing performant queries, optimizing slow ones, and reasoning about schemas, joins, and query plans at production scale. * Hands-on experience with business intelligence and visualization tools (Sigma, Tableau, Looker, or Power BI). * Experience designing, validating, and maintaining ETL processes and data pipelines. ## Description The Finance Risk and Analytics team is responsible for building the data-driven intelligence that powers many of Payactiv's financial products and business decisions. We develop forecasting models, decision engines, risk strategies, marketing campaign analytics and other analytical solutions that help drive business performance at scale. Working closely with Product, Engineering, Operations and other Finance teams, we turn data into actionable insights and automated decisions that improve customer outcomes, strengthen partner relationships, and support long-term growth. What you will do… * Bring both technical and analytical depth and acute business judgment - partner with Product, Engineering, Marketing, Growth, and Customer Success teams to identify which problems are worth solving. * Own the end-to-end solution from data exploration and feature engineering through model training, validation, deployment, and performance monitoring. * Act as a trusted advisor to internal and external stakeholders, translating technical findings into clear, impactful insights. * Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability. * Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus). ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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