DATA SCIENTIST II (MACHINE LEARNING)

VSolvit

12h•Onsite

About The Position

We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product performance, and operation efficiency to develop predictive models and support decision-making processes while adhering to the highest standards of security and confidentiality. You have a unique talent for finding answers to questions our customers never thought to ask by analyzing data in new ways. to solve complex problems in a variety of domains. As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.

Requirements

US Citizenship Required
Active Secret Security Clearance
Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Two to five years of experience as a Data Scientist or in a related data analysis role
Proficiency in Python, R, or similar programming languages for data analysis
Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Knowledge of SQL and experience with relational databases
Machine Learning experience
Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar
Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making
Excellent communication skills, with the ability to present technical findings to non-technical stakeholder
Experience working with Atlassian product and project management tools (Jira, Confluence)
If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered

Nice To Haves

Experience working with classified government data or in a defense-related environment
Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools
Continued education and knowledge of current and emerging AL/ML technologies (e.g., Hadoop, Spark)
Experience with DevOps practices and version control (Git, GitHub)
Strong problem-solving skills and ability to work in a fast-paced environment

Responsibilities

Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions
Develop, implement, and maintain predictive models and machine learning algorithms
Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data
Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders
Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies
Support senior leadership in strategic decision-making through advanced data-driven insights
Stay up-to-date with the latest developments in data science, machine learning, and related fields
Provide technical guidance and mentorship to junior data scientists and analysts