Associate Data Scientist

Position Purpose

The Associate Data Scientist supports data science initiatives that drive business profitability, improve efficiencies, and enhance customer experience. Working closely with Data Scientists and/or Senior Data Scientists, this role develops solutions by applying advanced analytics methods and algorithms to identify trends and provide business solutions. Depending on the team, the role may involve developing skills in specializations such as optimization, computer vision, recommendation, search, or NLP.

As an Associate Data Scientist, you will build skills that leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication and continuous learning at both technical and business levels.

Key Responsibilities

• 70% Solution Development: Design and develop algorithms and models against large datasets to generate business insights; support data science projects through effective analysis; execute tasks with high efficiency and quality; consult with senior data scientists on the selection, use, and interpretation of advanced analytical methods; learn about assigned business areas to deliver better solutions.
• 20% Communicating Results: Effectively communicate insights and recommendations to technical and non-technical audiences; prepare reports, updates, and presentations on project progress; highlight potential impacts of recommendations to drive alignment and implementation.
• 10% Technical Learning: Stay current on industry trends, best practices, and emerging methodologies; continuously develop skills in data analytics concepts; identify opportunities to apply learnings.

Direct Manager/Direct Reports

• Reports to a manager or above.
• No direct reports.

Travel Requirements

• No travel required.

Physical Requirements

• Mostly sitting in a comfortable position with frequent opportunity to move; occasionally may need to move or lift light articles.

Working Conditions

• Located in a comfortable indoor area; unpleasant conditions are 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 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 completion of a bachelor's degree program or equivalent in a field 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 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.