> Markdown version of [/jobs/ext/3735369-data-scientist-engineer](https://www.wearedevelopers.com/jobs/ext/3735369-data-scientist-engineer). 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/Engineer - **Company:** The Fountain Group - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Discovery, Data Visualization, Python (Programming Language), Machine Learning, SQL Databases, Snowflake, Data Analytics, Data Management - **Published:** October 14, 2026 - **Apply:** https://www.thefountaingroup.com/job/10660/senior_data_scientistengineer#apply-now-header ## About the Role * Minimum 5 years of related experience * Bachelor's degree or equivalent experience * Strong Data Analytics and Statistical Knowledge * Experience or Education in Machine Learning * Strong knowledge of python and ML-related frameworks * Experience with SQL (Snowflake preferred) * Experience in Data Visualization * Knowledge of capital markets preferred. * Excellent Communication skills - able to communicate technical information to non-technical team members ## Description * Use data to create features and analytics for internal Data Services clients to construct portfolios, manage risk and improve operational and execution efficiencies; help regulators identify systemic risks; while advancing innovative approaches and method that allow for greater transparency across markets; * Continuously seek internal and external client feedback to ensure all partners are advised of what is needed to deliver a product to market and ensure innovation * Collaborate with other researchers, commercial product managers covering each asset class to define client use cases / needs with the goal of developing a future roadmap and portfolio of analytics data products * Collaborate with data stewards, data wranglers and data science professionals through the quantitative research life cycle from data discovery to model development and maintenance for a portfolio of sophisticated analytical data products * Determine quarterly objective key results that will drive product strategy forward and meet overall business objective prioritizing opportunities to produce maximum customer and business value