Job Title: Senior Data Scientist

Location: Berkeley / Alpharetta / Washington, DC

Job Type: - Contract

On-Site

Job Description:-

Key Responsibilities

Design, develop, and deploy machine learning, deep learning, and statistical models to solve complex business problems.
Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
Build predictive models, recommendation systems, forecasting models, and classification algorithms.
Develop data pipelines and feature engineering processes for model training and deployment.
Collaborate with product managers, business stakeholders, data engineers, and software developers to define data science solutions.
Perform exploratory data analysis (EDA), hypothesis testing, and statistical analysis.
Optimize machine learning models for scalability, accuracy, and performance.
Deploy ML models using MLOps best practices and monitor model performance in production.
Communicate analytical findings and recommendations through dashboards, reports, and presentations.
Mentor junior data scientists and promote data science best practices across the organization.
Stay current with emerging AI, machine learning, and data science technologies.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (Ph.D. preferred).
6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with SQL and relational databases.
Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
Experience with large datasets and distributed computing frameworks.
Strong understanding of probability, statistics, linear algebra, and optimization techniques.
Experience deploying machine learning models into production environments.
Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Knowledge of data visualization tools such as Tableau, Power BI, or Plotly.
Experience working in Agile/Scrum environments.

Technical Skills

Programming: Python, R, SQL
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning: TensorFlow, PyTorch, Keras
Generative AI: OpenAI APIs, LangChain, LlamaIndex, Hugging Face Transformers
Big Data: Apache Spark, Hadoop, Databricks
Databases: PostgreSQL, MySQL, SQL Server, Snowflake
Cloud: AWS, Azure, Google Cloud Platform
MLOps: MLflow, Kubeflow, Docker, Kubernetes
Visualization: Power BI, Tableau, Matplotlib, Plotly

Senior Data Scientist || Washington, DC

Key skills