Envision Technology Solutions
Envision Technology Solutions

Senior Data Scientist || Washington, DC

Berkeley, NJ, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data scientist

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91131262
  • Position Id: 2026-6031
  • Posted 3 hours ago
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