Manager – Data Modeling and Data Science

This is a fully remote position, open to applicants in Colorado.

📋 Description

• Oversee and conduct in-depth customer analysis.

• Implement strategies set forth by senior leadership.

• Maintain daily communication with clients.

• Combine various datasets and prepare data for analysis.

• Lead and mentor a team of analysts, fostering their technical and career growth.

• Utilize data science techniques to deliver insights and recommendations to clients.

• Independently manage data science projects and deliverables to clients.

• Create and maintain analytics code using R and Python.

• Ensure prompt delivery of data, analytics, and models that support data licenses, database marketing efforts, and campaigns.

• Supervise the workflow and outputs of database marketing analysts.

• Assess client requirements for quantitative analysis and devise implementation strategies.

• Employ data and statistical modeling techniques with Snowflake, SQL, Python, and R.

• Design and enhance multi-channel campaigns through model development, campaign scoring, and production.

• Evaluate third-party data providers using both qualitative and quantitative approaches.

• Oversee project tasks, timelines, and deliverables, including model development, deployment, and campaign execution.

• Provide consultation on predictive statistical models, customer profiling, segmentation analysis, campaign analytics, and data mining.

• Co-present modeling results and campaign outcomes to clients.

• Convey findings and insights to audiences with non-technical backgrounds.

• Offer support and guidance to junior team members.

⛳️ Requirements

• Applicants must reside in the U.S.

• Minimum of 5 years in quantitative marketing, analytics, or data science.

• Proficient experience with Snowflake, SQL, R, Python, AI tools (Claude), logistic regression, linear regression, XGBoost machine learning, and clustering techniques.

• Advanced experience integrating third-party data with first-party data for modeling, scoring, and campaign analytics.

• Capable of explaining and presenting complex analytical methodologies and results to non-technical audiences.

• Skilled in executing advanced analytics tasks, including developing and editing modeling code, segmentation, design of experiments, forecasting, and generating meaningful analytical outputs.

• Ability to convert analytical insights into actionable recommendations and strategies for marketing professionals.

• Experience applying statistical methods such as regression, cluster analysis, and factor analysis to address business challenges.

• Competent in formulating analytical problems, quality controlling data and results, summarizing key insights, making actionable recommendations, and crafting innovative analytical solutions.

• Bachelor’s degree or its foreign equivalent in Statistics, Mathematics, Economics, or a related scientific/quantitative discipline.

• At least five years of experience as a Data Analyst or in a related field.

• Fundamental knowledge of database marketing, including company and client data, relational database concepts, and direct marketing principles.

🏝️ Benefits

• Paid holidays in accordance with dentsu policy.

• Safe and sick time.