Data Scientist

Role Overview
We're looking for a Data Scientist to help turn our data into actionable insights and intelligent products. You'll work closely with engineering, product, and business teams to design experiments, build predictive models, and translate complex analysis into clear recommendations that drive decisions across the company.
Key Responsibilities
Design, build, and validate machine learning models to solve business problems such as forecasting, segmentation, and recommendation
Partner with product and engineering teams to translate business questions into well-scoped analytical problems
Conduct exploratory data analysis to uncover trends, patterns, and actionable insights in large datasets
Design and analyze A/B tests and other experiments to evaluate product and business decisions
Build and maintain data pipelines in collaboration with data engineering for reliable, reproducible analysis
Communicate findings clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations
Monitor deployed models for performance and drift, and iterate as needed
Contribute to best practices around experimentation, model evaluation, and data quality
Requirements
Python
Pandas
NumPy
Scikit-learn
SQL
Statistics & Experiment Design (A/B Testing)
Machine Learning Model Development
Preferred Skills
Data Visualization (Matplotlib/Seaborn/Tableau)
TensorFlow
PyTorch
AWS SageMaker
GCP Vertex AI
Azure ML
Model Deployment to Production
MLOps (experiment tracking, model monitoring)
Domain Expertise (finance/healthcare/e-commerce)
Stakeholder Communication
Qualifications
3+ years of experience in a data science, applied ML, or quantitative analytics role
Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
Solid grounding in statistics and experiment design, including A/B testing methodology
Experience building and evaluating machine learning models for real-world problems
Ability to communicate technical findings clearly to non-technical audiences
Experience working with large datasets and writing efficient, production-quality analysis code
Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau, or similar)
Benefits
Competitive salary and performance-based bonuses
Flexible working hours and remote/hybrid options
Health insurance and wellness benefits
Learning and development budget
A collaborative environment where your analysis directly shapes decisions
[Company Name] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Work arrangement
Hybrid