Mid-Level Data Scientist

Job Title: Mid-Level Data Scientist
Location: Vienna, VA
Type: Contract
Compensation:
Hybrid – onsite and remote

Responsibilities
• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
• Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.
• Analyze and interpret results with some complexity.
• Exercise limited judgment and discretion within defined procedures and practices.
• Develop and code modeling programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members and participate in team projects and initiatives.
• Utilize effective written and verbal communication to document and present findings.

Requirements
• 3-7 years of experience (mid-level) in data science, statistics, and data analytics.
• Ability to work with moderate to minimal supervision.
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis.
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering.
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop.
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus.
• Technical writing skills.
• Strong communication and data storytelling presentation skills of technical material.
• Ability to collaborate and build relationships.
• Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields.
• Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #851-Rockville-S1

System One, and its subsidiaries including Joulé, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.