DATA SCIENCE

Data Scientist

Posted: 17 Jul 2026
Employment: full time
Work mode: unknown

About BlueConic: BlueConic is the operating system that puts data into action for marketing and growth doers. Our vision is one where marketers achieve their long-held, rarely realized ambitions of blending creativity with data, and performance with agility. With BlueConic, this ambition becomes a reality, transforming the relationship between brands and consumers. More than 500 businesses worldwide rely on BlueConic to unlock their full customer data potential, including Forbes, Heineken, Mattel, Michelin, Telia Company, and VF Corp. As the creators of the industry's first Customer Growth Engine (CGE), we help brands move beyond traditional CDPs to a smarter, faster model for growth—powered by AI, built for privacy, and designed to create meaningful value across the customer lifecycle. At BlueConic, we’re reinventing how businesses grow by transforming customer data into real-time intelligence and action.&nbsp; As a group, we are driven by “building the dream” - the collective passion, ethic, vision, and set of values channeled by a group to achieve a common goal of being extraordinary. Our goal is for BlueConic to be a fun, productive, welcoming, and safe space where BlueCrew members of all races and ethnicities, gender identities, gender expressions, sexual orientations, physical abilities, neurodivergences, physical appearances, socioeconomic backgrounds, life experiences, nationalities, ages, religions, and beliefs are empowered to be able to make an outsized impact every day – for customers, for partners, for employees. Join us in shaping the future of customer engagement—where advanced machine learning, causal decisioning, and real-time experimentation come together to power next-best actions at scale. Data Scientist We’re looking for an experienced Data Scientist to join our Product &amp; Technology team. In this role, you’ll work at the intersection of core product development and customer-facing data science, helping build and apply advanced decisioning capabilities that power real-time personalization, experimentation, and growth optimization. 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 <ul> <li>Design, build, and productionize predictive and decisioning models that power BlueConic’s product capabilities, including next-best-action and real-time personalization</li> <li>Apply and advance techniques in causal inference, reinforcement learning (specifically: contextual multi-armed bandits) to optimize customer interactions and measure incremental impact</li> <li>Partner with product and engineering teams to embed models into scalable, real-time systems</li> <li>Work directly with customers on advanced use cases, developing and validating models tailored to their business objectives and data environments</li> <li>Translate business goals into modeling strategies, and communicate results clearly to both technical and non-technical stakeholders</li> <li>Contribute to experimentation frameworks, uplift modeling, and closed-loop optimization approaches</li> <li>Help shape best practices for data science within the product organization, including model evaluation, testing, and deployment standards</li> </ul> We are looking for someone with following skills Required: <ul> <li>5+ years of professional experience as a Data Scientist, Applied Scientist, or similar role</li> <li>Strong hands-on experience with causal inference techniques (e.g. uplift modeling, counterfactual analysis, A/B and quasi-experimental methods)</li> <li>Practical experience with reinforcement learning and contextual multi-armed bandits in real-world systems</li> <li>Solid foundation in machine learning, including experience with libraries such as scikit-learn, XGBoost, or equivalent</li> <li>Advanced Python skills, including software engineering best practices (unit testing, modular code, packaging, version control)</li> <li>Experience taking models from experimentation to production environments</li> </ul> Preferred: <ul> <li>Experience with turning models into Open Neural Network Exchange (ONNX) format</li> <li>Familiarity with cloud data platforms or modern data stacks (e.g. Snowflake, Databricks, feature stores)</li> <li>Experience working on B2C, personalization, marketing, or customer analytics use cases</li> <li>Experience with recommendation algorithms&nbsp;</li> <li>Comfort collaborating directly with customers or external stakeholders on advanced analytical projects</li> </ul> <h3>You will be a great fit if you</h3> <ul> <li>Enjoy working on problems where measurement, causality, and decision-making really matter</li> <li>Are equally comfortable thinking about algorithms, product impact, and customer outcomes</li> <li>Care about building robust, maintainable data science systems—not just notebooks</li> <li>Like collaborating across disciplines and explaining complex ideas clearly</li> <li>Are curious, pragmatic, and motivated by seeing your work drive real business results</li> </ul> <h3>Reasons to join us</h3> <ul> <li>Be part of a dynamic, professional, and highly collaborative Product &amp; Technology team</li> <li>Work on cutting-edge applied ML problems at the intersection of AI, decisioning, and customer growth</li> <li>Combine deep technical work with real-world customer impact</li> <li>Help build a category-defining Customer Growth Engine</li> <li>Enjoy a competitive salary and&nbsp;work in an international environment with strong opportunities for growth and ownership</li> <li>Excellent hospitalisation, personal accident, and term insurance coverage.</li> <li>Located in a top-notch facility in Baner - one of the best neighbourhoods for tech startups.</li> </ul>