Note: The job is a remote job and is open to candidates in USA. Elios AI is an innovative software studio collaborating with internationally recognized brands to deliver cutting-edge data solutions. They are seeking a Senior Data Scientist with expertise in Marketing Mix Modeling to develop econometric models that assess the impact of PR messaging on financial outcomes.
Responsibilities
- Design and implement advanced econometric models to quantify the effects of PR campaigns on financial metrics
- Integrate diverse datasets, including social media metrics, news articles, campaign messaging, and financial indicators, to enhance model accuracy
- Collaborate with internal analytics teams to ensure robust data handling and model calibration
- Utilize historical PR and financial data to validate and refine predictive models
- Conduct exploratory data analysis to uncover insights and improve model performance
- Maintain rigorous methodological standards to ensure reproducibility and accuracy
- Work cross-functionally with analytics, account management, and client-facing teams to gather requirements and implement solutions
- Translate complex analytical insights into clear, actionable recommendations for both technical and non-technical stakeholders
- Develop comprehensive technical documentation outlining methodologies, data sources, assumptions, and limitations
- Create user-friendly guides to support the ongoing use and maintenance of models
- Lead training sessions to facilitate knowledge transfer within internal teams
- Stay abreast of advancements in econometric modeling, machine learning, and marketing mix modeling techniques
- Explore and implement process improvements, new data sources, and advanced modeling strategies to enhance scalability and predictive accuracy
Skills
- Master's or Ph.D. in Economics, Statistics, Data Science, or a related quantitative field (or equivalent professional experience)
- 3+ years of hands-on experience in econometrics, marketing mix modeling, or quantitative modeling
- Strong background in marketing analytics and marketing mix modeling (MMM)
- Expertise in statistical modeling, regression techniques, time-series analysis, and causal inference
- Exceptional communication skills—able to translate complex data insights into business impact
- Proven ability to work in cross-functional environments and manage multiple projects effectively
- Strong attention to detail, organizational skills, and commitment to delivering high-quality work
- Proficiency in Python (preferred) or R for data manipulation, statistical analysis, and model development
- Experience with Bayesian modeling and relevant packages (e.g., PyMC, STAN, Pyro)
- Familiarity with tools such as Lightweight MMM, Meridian, or Robyn is a plus
- Experience with data visualization tools (e.g., matplotlib, seaborn)
- Experience in (or willingness to learn about) public relations, corporate communications, and financial metrics in a business context
Benefits
- Fully Remote: Work from anywhere with flexible hours that fit your lifestyle.
- Award-Winning Culture: Be part of a company recognized for exceptional employee satisfaction, inclusivity, and professional development.
- Competitive Compensation: Generous salary, performance bonuses, and comprehensive benefits package.
- Professional Growth: Access to mentorship programs, certifications, and opportunities to advance your career.
- Cutting-Edge Tech: Work with state-of-the-art tools and technologies on impactful, high-visibility projects.
Company Overview