Job Description:
At NeuRelic Labs, data is at the core of every decision, strategy, and system we build. As a Data Scientist, you’ll be part of a cross-functional team designing predictive insights, anomaly detection models, trader behavior analysis, and more — all woven into intelligent products, and our execution intelligence platforms.
You’ll own the full lifecycle of data exploration to deployment, working on real-world capital market data, broker APIs, and customer journeys. Your insights will directly power AI models, user dashboards, and high-performance trading tools.
Responsibilities:
-
Collect, clean, and preprocess structured and unstructured data across financial and behavioral sources
-
Design and evaluate statistical models for trade analytics, fraud detection, and market forecasting
-
Apply machine learning techniques (classification, clustering, regression, time-series forecasting) to build actionable intelligence
-
Partner with product and AI teams to design experiments, build features, and derive insights for live and backend systems
-
Visualize and communicate data findings through dashboards and storytelling
-
Support data infrastructure efforts including pipelines, schemas, and data governance
-
Translate business problems into clear data science goals and deploy solutions iteratively
Preferred Qualifications:
-
2–4 years of hands-on experience in a data science or analyst role (fintech experience preferred)
-
Strong proficiency in Python, SQL, pandas, NumPy, and at least one ML framework (scikit-learn, XGBoost, LightGBM)
-
Experience working with real-time data, APIs, and time-series analytics
-
Knowledge of capital markets, derivatives, or financial KPIs is a strong bonus
-
Familiarity with data visualization tools like Plotly, Power BI, or Streamlit
-
Comfortable working in cross-functional teams with product managers and engineers
