Senior Data Scientist

United States 
Full-Time
Pay Range: $135,000 – $175,000 per year 
Visa: H1B Transfer & New Sponsorship Available | STEM OPT & OPT Candidates Welcome

Position Overview

We are seeking an experienced and strategic Senior Data Scientist to lead advanced analytics and machine learning initiatives. This role requires strong expertise in statistical modeling, predictive analytics, machine learning, and data-driven decision-making.

You will collaborate with cross-functional teams including Engineering, Product, and Business stakeholders to design scalable data solutions and mentor junior data scientists.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models

• Lead end-to-end data science lifecycle (data collection, cleaning, modeling, validation, deployment)

• Perform statistical analysis and hypothesis testing

• Build predictive, classification, clustering, and forecasting models

• Optimize model performance and scalability

• Present insights and recommendations to executive stakeholders

• Mentor junior data scientists and review technical work

• Collaborate with Data Engineers on production deployment

• Ensure model governance, compliance, and data integrity

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or related STEM field

• 5+ years of professional experience in Data Science or Machine Learning

• Strong foundation in Probability, Statistics, and Linear Algebra

• Expertise in predictive modeling and feature engineering

• Experience deploying ML models in production environments

Technical Skills (ATS Keywords)

Programming Languages

• Python

• R

• SQL

• Scala (preferred)

Machine Learning & AI

• Scikit-learn

• TensorFlow

• PyTorch

• XGBoost

• LightGBM

• Deep Learning

• Natural Language Processing (NLP)

• Computer Vision

• Time Series Forecasting

• Recommendation Systems

• Generative AI (preferred)

Data Processing & Big Data

• Apache Spark

• PySpark

• Hadoop

• Kafka

Data Visualization & BI

• Tableau

• Power BI

• Matplotlib

• Seaborn

• Plotly

Cloud & MLOps

• AWS (SageMaker, S3, EC2, Redshift)

• Microsoft Azure ML

• Google Cloud AI Platform

• Docker

• Kubernetes

• MLflow

• CI/CD pipelines

• Model Monitoring

Concepts & Methodologies

• Regression

• Classification

• Clustering

• A/B Testing

• Feature Engineering

• Model Evaluation Metrics

• Data Mining

• ETL pipelines

• Agile/Scrum

• Data Governance

Preferred Qualifications

• Experience building high-volume, low-latency ML systems

• Experience leading data science teams or projects

• Knowledge of distributed systems architecture

• Strong leadership and mentoring skills

• Excellent communication and stakeholder management abilities

Compensation & Benefits

• Competitive salary: $135,000 – $175,000 annually

• Performance bonuses and equity (if applicable)

• Health, Dental, and Vision insurance

• 401(k) with company match

• Paid Time Off (PTO)

• H1B transfer & new sponsorship support

• STEM OPT extension support

• Leadership and career advancement opportunities

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international professionals requiring H1B sponsorship or STEM OPT support.