Sr. Data Scientist (Bentonville, AR; Hoboken, NJ; ; San Bruno, CA)

Cedent; Hoboken, Bentonville (NJ, AR); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A consulting firm is seeking a Sr. Data Scientist to enable insights through advanced analytics and machine learning. The role involves hands-on modeling with skills in Python, SQL, and R. Ideal candidates should have a Master's degree and 6+ years of experience in data science and marketing analytics. Strong communication skills are crucial to present insights effectively.

Qualifications

• 6+ years of industry experience in data science, measurement, marketing strategy & analytics.
• Proficient coding skills (SQL/Python/R) and database knowledge.
• Strong project management skills including managing technical resources and multiple priorities.

Responsibilities

• Perform hands-on modeling and complex analyses using Python, SQL and/or R.
• Build and enhance media mix models to connect the impact of marketing tactics.
• Run optimization scenarios to guide marketing investment recommendations.

Skills

Predictive modeling

Data analysis

Communication skills

Python

SQL

R

Education

Master's degree in statistics, economics, operations research, or related field

Tools

Python modules

Ad servers

DSPs

DMPs

Job description

Sr. Data Scientist (Bentonville, AR; Hoboken, NJ; ...)

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).

Responsibilities

• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO
• Present media mix insights to different levels of senior clients
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Partner with cross-functional team to streamline data science solutions
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization

Minimum Qualifications

• Master's degree in statistics, economics, operations research, engineering, or related field
• 6+ years of industry experience in data science, measurement, marketing strategy & analytics
• Strong communication skills to ‘tell a story’ that provides insight into the business
• Proficient coding skills (SQL/Python/R) and database knowledge
• Extensive experience with predictive modeling algorithms
• Strong project management skills, including managing technical resources and multiple priorities & milestones
• You have a passion for working in a fast-paced agile environment
• A collaborative mindset and sense of curiosity

Preferred Qualifications

• PhD degree in Statistics, Economics, Operations Research, or related field
• Experienced in building market mix and multi-touch attribution models
• Experience with advertising, measurement, and/or digital marketing analytics
• Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
• Advanced programming skills with experience of creating Python modules
• Experience with A/B and Multivariate test design and implementation

Department: Preferred Vendors

This is a contract position

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