Sr. Data Scientist I - Rockerbox

Responsibilities

• Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable and aligning with domain knowledge
• Adapt, optimize, and iterate on the current modelling packages, modifying open source packages to adapt our need
• Stay up to date with the latest causal inference and experimental design techniques
• Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders
• Provide code reviews and feedback on system/model design for team members
• Work closely with product and engineering to integrate data science projects into the Rockerbox platform

Requirements

• 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering.
• Strong knowledge of regression modelling, statistical testing and experimental design
• Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.)

Nice to Haves

• SQL for data wrangling
• Applying Bayesian techniques to predictive modelling problems
• Working with AWS cloud technologies
• Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro
• Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization.

Pay

The estimated salary range for this role based on the qualifications set forth in the job description is between $89,000 - $161,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.