> Markdown version of [/jobs/ext/2073223-data-scientist](https://www.wearedevelopers.com/jobs/ext/2073223-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:** Blueconic, Inc. - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, Unit Testing, Data Infrastructure, Machine Learning, Cloud Services, Software Construction, Reinforcement Learning, Real Time Systems, Snowflake, Model Validation, Scikit Learn, ONNX (Open Neural Network Exchange) Format, Xgboost, Software Version Control, Databricks - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pbyt6028uq ## About the Role * 5+ years of professional experience as a Data Scientist, Applied Scientist, or similar role * Strong hands-on experience with causal inference techniques (e.g. uplift modeling, counterfactual analysis, A/B and quasi-experimental methods) * Practical experience with reinforcement learning and contextual multi-armed bandits in real-world systems * Solid foundation in machine learning, including experience with libraries such as scikit-learn, XGBoost, or equivalent * Advanced Python skills, including software engineering best practices (unit testing, modular code, packaging, version control) * Experience taking models from experimentation to production environments Preferred: * Experience with turning models into Open Neural Network Exchange (ONNX) format * Familiarity with cloud data platforms or modern data stacks (e.g. Snowflake, Databricks, feature stores) * Experience working on B2C, personalization, marketing, or customer analytics use cases * Experience with recommendation algorithms * Comfort collaborating directly with customers or external stakeholders on advanced analytical projects You will be a great fit if you * Enjoy working on problems where measurement, causality, and decision-making really matter * Are equally comfortable thinking about algorithms, product impact, and customer outcomes * Care about building robust, maintainable data science systems-not just notebooks * Like collaborating across disciplines and explaining complex ideas clearly * Are curious, pragmatic, and motivated by seeing your work drive real business results ## Description You'll collaborate closely with product managers, engineers, and customer teams to design, implement, and operationalize predictive and decisioning models-both as part of BlueConic's product roadmap and in direct partnership with customers solving high-impact growth challenges. This is a hands-on role for someone who enjoys moving from theory to production, and from models to real-world outcomes. What you'll do * Design, build, and productionize predictive and decisioning models that power BlueConic's product capabilities, including next-best-action and real-time personalization * Apply and advance techniques in causal inference, reinforcement learning (specifically: contextual multi-armed bandits) to optimize customer interactions and measure incremental impact * Partner with product and engineering teams to embed models into scalable, real-time systems * Work directly with customers on advanced use cases, developing and validating models tailored to their business objectives and data environments * Translate business goals into modeling strategies, and communicate results clearly to both technical and non-technical stakeholders * Contribute to experimentation frameworks, uplift modeling, and closed-loop optimization approaches * Help shape best practices for data science within the product organization, including model evaluation, testing, and deployment standards ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)