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Senior Data ScientistElios • Chicago, Illinois, United States
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Senior Data Scientist

Elios
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Postuler Maintenant

À propos

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.
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.
Data Analysis & Validation
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.
Collaboration & Stakeholder Communication
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.
Documentation & Training
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.
Continuous Improvement
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.
Qualifications
Education & Experience
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.
Technical Skills
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).
Strong background in marketing analytics and marketing mix modeling (MMM); familiarity with tools such as Lightweight MMM, Meridian, or Robyn is a plus.
Expertise in statistical modeling, regression techniques, time‑series analysis, and causal inference.
Experience with data visualization tools (e.g., matplotlib, seaborn).
Soft Skills & Additional Qualifications
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.
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.
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.
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  • Chicago, Illinois, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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