Decision Scientist

Roles & Responsibilities

• Data Analysis and Interpretation

  Analyze complex data sets using statistical methods to uncover business insights. Interpret results to aid in decision-making processes, enhancing business outcomes through data-driven strategies.

• Model Development

  Develop predictive and prescriptive models using machine learning algorithms. Ensure models are robust, accurate, and scalable to support business decisions and improve operational efficiency.

• Data Visualization

  Create and maintain interactive dashboards and visual reports to communicate complex data insights. Utilize visualization tools like Tableau or Power BI to enhance stakeholder understanding and engagement.

• Cross-Functional Collaboration

  Collaborate with business units, IT teams, and stakeholders to gather data requirements, align analytical processes, and deliver actionable insights tailored to specific business needs and objectives.

• Business Problem Solving

  Identify and address key business questions through data exploration and hypothesis testing. Leverage analytical techniques to provide actionable recommendations that drive strategic initiatives forward.

• Technical Documentation

  Document data processes, methodologies, and model developments in a clear and concise manner. Ensure technical accuracy and accessibility for future reference and compliance with industry standards.

• Continuous Improvement

  Evaluate the effectiveness of current decision-making frameworks. Implement enhancements based on analytical findings to improve accuracy and efficiency of business operations continually.

Typical Required Skills and Qualifications

• 3+ years of experience in data analysis or data science roles

• Proficiency in statistical modeling and machine learning techniques

• Experience with data visualization tools (e.g., Tableau, Power BI)

• Strong programming skills in Python or R

• Familiarity with SQL and database management