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Senior Data Scientist || Washington, DC

Envision Technology SolutionsBerkeley Township, NJ🇺🇸United StatesPosted Oct 20, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Berkeley Township, NJ, United States
Posted
20 hours ago
DockerMySQLSQLApache SparkAWSLinearMLOpsMLflowScikit-learnScrumSnowflakeTableauApacheDatabricksDeep LearningGoogle CloudHadoopHugging FaceKerasPyTorchPythonTensorFlowGenerative AIAzurePostgreSQLKubernetesMachine LearningPower BISQL ServerAgileData AnalysisCI/CDMatplotlibXGBoostLangChainRAG

Job Description

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

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