Senior Data Scientist

Senior Data Scientist - (100% Remote)

• 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.

We are an innovative software studio that partners with internationally recognized brands to drive cutting-edge data solutions. We are seeking a Senior Data Scientist to join our team and play a pivotal role in building sophisticated econometric models that measure the impact of PR messaging on financial outcomes. This is a fully remote opportunity for a skilled data scientist passionate about leveraging advanced analytics to shape real-world business strategies.

Key Responsibilities

Model Development & Implementation

• Design and develop econometric models to quantify the impact of PR campaigns on financial metrics.
• Integrate diverse datasets (social media, news articles, campaign messaging, and financial indicators) to enhance model accuracy.
• Partner with internal analytics teams to ensure robust data handling, feature engineering, and model calibration.

Data Analysis & Validation

• Utilize historical PR and financial data to validate and refine predictive models.
• Conduct exploratory data analysis to uncover key insights and improve model performance.
• Maintain rigorous methodological standards to ensure reproducibility and accuracy in all analyses.

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 and reference materials to support the ongoing use and maintenance of models.
• Lead training sessions to facilitate knowledge transfer and adoption within internal teams.

Continuous Improvement

• Stay at the forefront of 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.