Data Scientist

• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Deliver actionable insights on ambiguous projects with multiple stakeholders, unclear requirements and often incomplete data.
• Develop and implement measurement plans to address specific business questions with high quality, defensible data analytics.
• Derive actionable insights, build predictive models and/or construct addressable segments from individual- and event-level behavior data using advanced statistics and machine learning.
• Integrate data from multiple platforms and applications to provide holistic insights and cross-platform actionabilty.
• Design, implement, and analyze experiments to provide causal analysis.
• Present findings and recommendations to key decision makers and influencers at various seniority levels within HelloWorld and client firms.
• Integrate with other functional teams to create cross-functional solutions that leverage data and insights.
• Influence stakeholders through effective storytelling with data, using clear visualizations, and other influencing tools, underscored by robust and defensible data analysis.

Job Specifications and Competencies

• 5+ years of industry experience solving business problems using quantitative analytical methods.
• Master’s degree in a quantitative STEM field such as mathematics, sciences, operations research, engineering with an emphasis on scientific methodologies.
• Experienced and proficient querying, dimensioning and reducing both structured and unstructured data using SQL, Python, R, or related querying/scripting language or statistical software. Preference for experience with multiple tools.
• Experience with predictive modeling techniques and machine learning - K means clustering, logistic and linear regression, structural equation modeling,
• Strong experimental design skills, including an ability to construct and execute proper controls.
• Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
• Sophisticated and innovative application of quantitative methods to solve prediction and insights challenges, often with imperfect data,
• Demonstrated experience processing, exploring, transforming, analyzing, and presenting insights from large quantities (Millions to Billions of rows) of data
• Strong business knowledge; experience in loyalty, retention or catalog marketing preferred.
• Ability to translate business challenges into analytical solutions -, acknowledge and address confounds or uncertainties, and choose best methods in light of these challenges.
• Excellent verbal and written communication skills with an ability to communicate technical findings to a non-technical business audience.