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Data Scientist

Technamo LLC

Data Scientist

Richmond, VA
Full Time
Paid
  • Responsibilities

    Job Description

    Company Description TECHNAMO is a niche, young & dynamic IT service provider, VA SWaM certified, Microsoft Cloud Certified Partner, focused on providing IT Solutions & Services to government and commercial companies.

    TECHNAMO is a Tier-I Contractor to provide IT Services to the Virginia govt. agencies (70+ entities) and contracted to provide services to state govt. New Jersey, Pennsylvania, Arkansas, Delaware, and Maryland govt. agencies.

    CONTACT US: Chowdary email: Lchowdary@technamo.com Ph: 703-957-6871, www.technamo.com

    Job Description The data scientist is a role in the Office of Strategic Innovations and reports to the Data Science Program Manager. Data science team will play a pivotal role in planning, executing and delivering machine learning-based projects to improve highway safety, reduce congestion and improve business processes. The bulk of the work will be in machine learning (ML) modelling, management and problem analysis, data exploration and data correlation and clustering.

    The newly hired data scientist will be a key interface between the Office of Strategic Innovations and analytics teams and leadership in the business units, and the Information Technology Division. Candidates need to be very much self-driven, curious, and creative.

    PRIMARY RESPONSIBILITIES: Acquire access to various databases and other source systems. Help to create data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data.

    Network with domain experts to better understand the business mechanics that generated the data. Apply various ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options. Continuously monitor the execution and health of production ML models. Establish best practices around ML production infrastructure

    REQUIRED SKILLS: Knowledge/experience in statistical modeling, data mining and ML using tools/techniques, Python, R, deep learning, text mining, graphic analysis – REQUIRED 3 YEARS. Geospatial analysis packages: ArcGIS or similar products – HIGHLY DESIRED 1 YEAR. Business intelligence packages: Microsoft PowerBI, Tableau, or similar products – HIGHLY DESIRED 1 YEAR. • Must be self-driven, curious, creative and a good communicator • Demonstrate the ability to work in diverse, cross-functional teams. • - REQUIRED 3 YEARS.

    Additional Information All your information will be kept confidential according to EEO guidelines.