Associate Data Scientist

Position Purpose

The Associate Data Scientist supports data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Depending on the team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search, or NLP.

As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.

Key Responsibilities

• 70% Solution Development: Design and develop algorithms and models to use against large datasets to create business insights; support data science projects by conducting effective analysis; execute tasks with high efficiency and quality; consult with Data Scientist or Sr. Data Scientist on selection, utilization, and interpretation of advanced analytical methodologies; learn about assigned business areas to provide better solutions.
• 20% Communicating Results: Effectively communicate insights and recommendations to both technical and non-technical audiences; support preparation of reports, updates, and presentations; highlight potential impacts of recommendations to drive alignment and implementation.
• 10% Technical Learning: Keep up to date on industry trends, best practices, and emerging methodologies; continually develop skills in data analytics concepts; identify opportunities to apply learnings.

Direct Manager/Direct Reports

• This position reports to manager or above.
• This position has 0 direct reports.

Travel Requirements

• No travel required.

Physical Requirements

• Most of the time is spent sitting in a comfortable position with frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications

• Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
• 3+ years of experience in business intelligence and analytics
• Working knowledge of Microsoft Excel and PowerPoint
• Experience in a modern scripting language (preferably Python)
• Experience running queries against data (preferably with Google BigQuery or SQL)
• Experience in predictive modeling, data mining, and data analysis
• Experience with data visualization software (preferably Tableau)
• Experience utilizing statistical techniques to identify key insights that help solve business problems
• Basic knowledge or exposure to prescriptive modeling like optimization, computer vision, recommendation, search, or NLP
• Basic knowledge or exposure to predictive modeling, data mining, and data analysis

Minimum Education

• The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education

• No additional education

Minimum Years of Work Experience

• 0

Preferred Years of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

• None

Competencies

• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
• Drives Results: Consistently achieving results, even under tough circumstances
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels