Data Scientist
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Job Location:
Philadelphia, PA - USA
Monthly Salary:
$ 9000 - 12000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Hybrid / Philadelphia PA
At BlueConic were reinventing how businesses grow by transforming customer data into real-time intelligence and action. As the creators of the industrys first Customer Growth Engine (CGE) we help brands move beyond traditional CDPs to a smarter faster model for growthpowered by AI built for privacy and designed to create meaningful value across the customer lifecycle.
Join us in shaping the future of customer engagementwhere advanced machine learning causal decisioning and real-time experimentation come together to power next-best actions at scale.
About the role:
Were looking for an experienced Data Scientist to join our Product & Technology this role youll 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.
Youll collaborate closely with product managers engineers and customer teams to design implement and operationalize predictive and decisioning modelsboth as part of BlueConics 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 youll do:
- Design build and productionize predictive and decisioning models that power BlueConics 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
We are looking for:
Required:
- 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:
- 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 systemsnot just notebooks
- Like collaborating across disciplines and explaining complex ideas clearly
- Are curious pragmatic and motivated by seeing your work drive real business results
Reasons to join us:
- Be part of a dynamic professional and highly collaborative Product & Technology team
- Work on cutting-edge applied ML problems at the intersection of AI decisioning and customer growth
- Combine deep technical work with real-world customer impact
- Help build a category-defining Customer Growth Engine
- Enjoy a competitive salary generous paid leave a MacBook travel expenses and a comprehensive benefits package
- Work in an international environment with strong opportunities for growth and ownership
About BlueConic
BlueConic is the leading Customer Growth Engine helping brands unlock the full value of their customer data. By combining AI-powered intelligence with real-time activation BlueConic enables businesses to drive growth increase retention and optimize revenue.
More than 500 brandsincluding ASICS Forbes Heineken LOréal Mattel Michelin Telia Company and Unileveruse BlueConic to create meaningful relationships and drive long-term business impact.
If hired applicants based in the US can expect an annual base salary and target bonus within the following ranges depending on experience. BlueConic also offers a comprehensive benefits package to full-time employees including a selection of medical dental and vision insurance plans 401(k) matching 28 vacation days annually paid parenting leave and more.
Annual base salary
$90000 - $120000 USD
Annual target bonus
$9000 - $12000 USD
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
BlueConic makes your first-party data accessible when and where you need it to transform customer relationships and unleash growth.
