Data Scientist (US)

Location: New York City, Boston, San Francisco, Seattle, or Chicago

About The Role

We are looking for a Data Scientist to turn complex data into actionable insights, predictive models, and data-driven business solutions. You will work closely with product, engineering, business, and analytics teams to identify opportunities, build machine-learning models, design experiments, and communicate findings to stakeholders. This role is suitable for candidates ranging from early-career Data Scientists to experienced professionals who can independently own complex analytical and machine-learning initiatives.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, evaluate, and deploy statistical and machine-learning models.
• Apply statistical methods to solve business and product problems.
• Perform exploratory data analysis using Python, Pandas, and NumPy.
• Write efficient SQL queries to extract, transform, and analyze data.
• Build predictive models using Scikit-learn and related ML techniques.
• Design, execute, and analyze A/B tests and experiments.
• Define appropriate metrics, KPIs, and measurement frameworks.
• Create dashboards and visualizations using Tableau or Power BI.
• Translate analytical results into clear, actionable recommendations for technical and non-technical stakeholders.
• Collaborate with engineering, product, marketing, and business teams.
• Communicate model assumptions, results, limitations, and business impact effectively.
• Continuously improve analytical methodologies, models, and processes.

Requirements

• 3–8+ years of relevant experience in data science, analytics, machine learning, or a related field.
• Strong Python programming skills.
• Strong SQL skills and experience working with relational databases.
• Solid understanding of statistics and probability.
• Hands-on experience with machine-learning algorithms and model evaluation.
• Proficiency with Pandas and NumPy.
• Experience with Scikit-learn.
• Practical experience designing and analyzing A/B tests.
• Experience with Tableau, Power BI, or a comparable BI/visualization platform.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Economics, or a related quantitative field.
• Experience with advanced statistical modeling, forecasting, or causal inference.
• Experience working with large-scale datasets and cloud data platforms.
• Familiarity with additional ML frameworks such as PyTorch or TensorFlow.
• Experience taking machine-learning models from experimentation into production.
• Experience working in an Agile, cross-functional environment.

Benefits

• Competitive base salary of $110K–$190K+, depending on experience, skills, location, and level.
• Opportunity to work on high-impact data and machine-learning problems.
• Collaborative environment with experienced data, product, and engineering professionals.
• Opportunities for professional growth and technical development.
• Comprehensive benefits and additional compensation may be available depending on role and location.

Pay

$110,000–$190,000+ per year