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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** BCforward - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Database, Directed Acyclic Graph (Directed Graphs), Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Feature Engineering, Data Strategy, Build Management, AI Platforms, Scikit Learn, Information Technology, Power Analysis (Cryptography), Xgboost, Machine Learning Operations, Software Version Control - **Published:** May 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=024700758dfde988 ## About the Role Do you have experience in Version control?, Do you have a Bachelor's degree?, * 6+ years of hands-on data science experience delivering end-to-end statistical and machine learning solutions. * Strong proficiency in Python and SQL; experience with scikit-learn, XGBoost or LightGBM, PyMC or Stan, and MLflow; solid software practices including version control, testing, and reproducibility. * Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Data Science. * Demonstrated expertise in causal inference and experimentation including DAGs, identification, regression-based methods, and quasi-experiments, with clear communication of limitations and assumptions. * Experience with marketing and growth models such as forecasting, response or uplift, segmentation, and optimization; MMM familiarity is a plus. * Experience with large, messy datasets and strong data wrangling and feature engineering skills. * Proven ability to influence decisions through clear storytelling and stakeholder management with measurable impact. * Self-starter with effective prioritization, problem-solving, and time management in a fast-moving environment. * Experience with cloud data and AI platforms such as Azure, GCP, or AWS and production analytics patterns. Preferred Skills: * Graduate degree in a quantitative discipline (MS or PhD). * Experience in CPG or adjacent retail and consumer industries, including syndicated data such as POS and panel, trade and promo dynamics, and omnichannel measurement. * Background in marketing analytics, experimentation, or consulting or agency environments with delivery to executive audiences. * Experience partnering with engineering to deploy models and build data products including batch or real-time scoring, APIs, and dashboards. ## Description We are seeking a Sr Data Scientist to join our team supporting Consumer Packaged Goods marketing and media analytics. The ideal candidate will have strong experience in statistics, machine learning, experimentation, and causal inference and a proven ability to ship decision-ready models and translate insights into measurable business outcomes., * Partner with data science leadership, ML engineers, and CPG marketing stakeholders to build and deploy predictive and optimization models on modern cloud platforms. * Lead technical workstreams, frame ambiguous problems, define evaluation criteria, and set a roadmap from prototype to production. * Develop measurement and incrementality strategies using experimentation and causal inference such as A/B tests, geo tests, Difference-in-Differences, Regression Discontinuity, and causal ML. * Build marketing response and demand models including uplift and propensity, time-series forecasting, and hierarchical models for planning, targeting, and budget allocation. * Design and implement scalable feature engineering and model monitoring for robustness, reproducibility, and sustained performance. * Translate complex outputs into actionable narratives for marketing, finance, and leadership, communicating uncertainty, tradeoffs, and recommended actions. * Establish best practices for experiment design including power analysis, guardrails, and interpretation of results. * Advise partners on data strategy including instrumentation, taxonomy, data quality, and metrics for CPG brand and performance outcomes. * Contribute to team strategy, documentation, and technical standards; mentor junior data scientists through reviews and coaching. * Collaborate to operationalize models via APIs, batch scoring, and dashboards to ensure adoption and impact. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)