Manager, Analytics Modeling and Product Development

Publicis Groupe • New York, NY

288d • $141,170 - $141,170 • Remote

About The Position

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

Requirements

• Master's degree in Computer Science, Information Technology, Quantitative Discipline, Data Science or a related field.
• Two years of experience in the job offered or two years of experience in any occupation in which the required experience was gained.
• One year of experience in building, reviewing, and publishing MMM (market mix models) by employing econometric modeling techniques.
• One year of experience in performing predictive modeling and conducting statistical tests using programming tools like R, SAS, and Python to extract insights from customer behavior data.
• One year of experience in performing data manipulation, basic analysis, and reporting tasks using advanced Excel capabilities such as pivot tables and data validation.
• One year of experience in creating intuitive and interactive dashboards, charts, and graphs using data visualization tools like Tableau or Power BI to track key performance indicators (KPIs).
• One year of experience in extracting specific datasets, performing data cleaning and preprocessing tasks using SQL.
• One year of experience in utilizing software such as MS PowerPoint to create audience-tailored slides to effectively communicate findings and recommendations to various stakeholders.

Responsibilities

• Produce financial and market intelligence by querying data repositories and generating periodic reports.
• Ensure raw data is ingested, scrubbed, processed, and prepped for modeling.
• Manipulate and architect large data sets across multiple dimensions (sales, brand equity, search interest, website visits, social media, advertising activity).
• Perform initial investigations on data to discover patterns, spot anomalies, test hypotheses and check assumptions with the help of summary statistics and graphical representations.
• Implement methods for building models across a wide range of approaches and algorithms.
• Automate methods for hyperparameter tuning and other stages in the model-tuning process.
• Apply the chosen model on live data to gauge model effectiveness and determine output across industry verticals.
• Improvise the existing model by recalibration using incremental datasets from marketing systems and sales enablement platforms.
• Evaluate models across dimensions outside of performance such as explanatory simplicity, time and computational resources required, technical dependencies and other problems specific to both business and technical contexts.
• Communicate ideas and concerns with clients to get a full understanding of modeling purposes and identify business opportunities and ensure customer satisfaction.
• Strategically partner with the Client Insights team to address client's business and marketing challenges.
• Report persistent data quality challenges for long term fixes and keep up to date with new developments of analytic methods in academia and industry research.

Benefits

• Medical coverage
• Dental insurance
• Vision insurance
• Disability insurance
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree