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Data Scientist

Job not on LinkedIn

🕒 2 days ago

🇺🇸 United States – Remote

💵 $135k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Where this job comes from

Posted on VivSoft's careers page, not through a job board

First seen by Remote Rocketship 2 days ago

Still open on VivSoft's site. Checked 1 hour ago.

Logo of VivSoft

VivSoft

51 - 200 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

VivSoft is a federal-focused technology company that builds productized, mission-focused software and services to accelerate government efficiency. The firm combines Data/AI and human-machine teaming, cloud/DevSecOps and software factories, and digital experience (UI/UX) to deliver scalable, templated solutions for government customers. VivSoft supports government contracting vehicles (OTAs, CSOs, SBIR), partners with prime contractors, and moves prototypes into production to solve complex, repeating mission problems.

📋 Description

• Analyze large, multi-source datasets using statistical methods, including regression, hypothesis testing, probability, and time-series analysis • Develop, validate, and deploy distributed machine learning models using Apache Spark and Spark MLlib across large-scale environments • Query and analyze lakehouse data using Athena, Trino, and Spark SQL, considering partitioning, file layouts, and query performance • Apply LLM-assisted and agentic AI tools to accelerate data exploration while validating findings against statistical baselines • Define operational metrics and develop dashboards and data products using Grafana or comparable visualization platforms • Design experiments and hypothesis tests to evaluate operational changes, model performance, and analytical outcomes • Collaborate with Data Engineers on data requirements and AI Engineers on productionizing models • Document analytical methods, assumptions, limitations, and uncertainty • Communicate findings to technical and non-technical stakeholders

🎯 Requirements

• Bachelor's degree in a related technical field or equivalent qualifying experience • Minimum 5 years of professional experience in Data Science, Advanced Analytics, or Statistical Modeling • US citizenship • Active U.S. Government Secret security clearance • Strong foundation in statistics, including regression, probability, hypothesis testing, and time-series analysis • Hands-on experience developing and running distributed machine learning models using Apache Spark, including Spark MLlib, at cluster scale • Proficiency in Python and SQL • Experience using distributed SQL engines such as AWS Athena, Trino, or Spark SQL • Understanding of lakehouse architectures, Apache Iceberg or similar open table formats, data partitioning, and file-layout optimization • Experience using LLM-assisted or agentic AI tools for analytical workflows, with the ability to independently validate generated results • Experience creating dashboards and metrics using Grafana or comparable visualization tools • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related technical field • Additional relevant experience may substitute for education requirements on a year-for-year basis • Preferred: Experience with AWS services, including S3, EMR, Athena, and Glue • Preferred: Familiarity with Apache Airflow and data workflow orchestration • Preferred: Experience with Bayesian methods, risk scoring, security analytics, or vulnerability analytics • Preferred: Experience with Kubernetes-based data science workflows • Preferred: Master's degree in Statistics, Mathematics, or another quantitative discipline • Preferred: Previous Department of Defense (DoD) or Federal Government analytics experience

🏖️ Benefits

• Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only) • Life Insurance • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) • 401K Retirement Plan with employer match • Professional Development Training Reimbursement

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