Senior Data Scientist

Senior Data Scientist - (Remote)

Location : Remote (Company Headquarters : Chicago, IL)

Salary Range : $140,000 - $160,000 per year

Employment Type : Full-Time

About Us : We are an innovative software studio collaborating with internationally recognized brands to deliver cutting-edge data solutions. Our mission is to harness advanced analytics to drive impactful business strategies. We pride ourselves on our award-winning culture, emphasizing employee satisfaction, inclusivity, and professional development.

Position Overview : We are seeking a Senior Data Scientist with expertise in Marketing Mix Modeling (MMM) to develop sophisticated econometric models that assess the impact of public relations (PR) messaging on financial outcomes. This fully remote role offers the flexibility to work from anywhere, providing an excellent opportunity for a skilled data scientist passionate about leveraging analytics to influence real-world business decisions.

Key Responsibilities :

• Model Development & Implementation :

Design and implement advanced econometric models to quantify the effects of PR campaigns on financial metrics.

Utilize historical PR and financial data to validate and refine predictive models.

Work cross-functionally with analytics, account management, and client-facing teams to gather requirements and implement solutions.

Develop comprehensive technical documentation outlining methodologies, data sources, assumptions, and limitations.

Stay abreast of advancements in econometric modeling, machine learning, and marketing mix modeling techniques.

Qualifications :

Master's or Ph.D. in Economics, Statistics, Data Science, or a related quantitative field (or equivalent professional experience).

Proficiency in Python (preferred) or R for data manipulation, statistical analysis, and model development.

Exceptional communication skills-able to translate complex data insights into business impact.

Benefits :

Application Process : Interested candidates are invited to apply by submitting their resume and a cover letter detailing their relevant experience and interest in the position. Please include any pertinent project portfolios or case studies that showcase your expertise in data science and econometric modeling.