Data Scientist I

ButcherBox

$110K — $125K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • At least 2 years of proven experience solving business problems using SQL and coding.
  • Professional or academic experience in statistical analysis techniques like linear models and time series analysis.
  • Hands-on experience with the entire model development process, from feature selection to evaluation.
  • Strong communication skills for conveying complex analysis to non-technical stakeholders.
  • Experience with large datasets in a cloud environment, particularly Azure.

Responsibilities

  • Collaborate with cross-functional teams to understand business objectives and frame data-driven problems.
  • Perform analysis using data tools like Python, PySpark, and Spark SQL.
  • Contribute to all aspects of machine learning solutions, from stakeholder framing to production implementation.
  • Assist in the development of models for complex business problems alongside senior data scientists.
  • Support and maintain existing models in production.

Benefits

  • Comprehensive health packages including medical, dental, vision, and life insurance with an employer-funded HSA.
  • Generous 401(k) with employer matching.
  • Annual performance-based bonus.
  • Unlimited paid time off and generous parental leave.
  • Annual stipend for personal and professional development, plus coaching access.
  • Monthly food benefits including a free ButcherBox and lunch reimbursement.
  • Wellness reimbursements, an exceptional EAP, and additional fertility benefits.
Full Job Description
Department: Data Science

Reports To: Emily Strong - Senior Manager, Data Science

Location: Watertown, MA (ButcherBox Headquarters)

Base Salary: $110,000-125,000

About the Role

We are looking for a Data Scientist I to discover impactful member information hidden in our marketing, operational, customer experience, and financial data. You will be responsible for helping us make smarter decisions to deliver better offers, products and services to our members. The primary focus of the role will be performing statistical analysis, building high quality predictive analytics, and developing AI and ML systems that will integrate with our eCommerce website, customer portal and internal marketing and operational tools and applications.

Our data science projects range from demand forecasting to contextual multi-armed bandits for personalized recommendations, with data scientists supporting the full ML stack including contributing to the feature store and managing inference pipelines in production, and this role will contribute to all aspects of the model lifecycle. We also partner closely with the marketing and commercial operations teams in designing experiments to measure model impact.

Responsibilities
  • Collaborate with cross-functional teams, such as Product Management, Commercial, Marketing, Finance, and Supply Chain, to understand business objectives and frame data-driven problems effectively.
  • Perform analysis using relevant data tools; we use Python, PySpark, and Spark SQL.
  • Contribute to all aspects of a machine learning solution, from problem framing with stakeholders to production implementation, impact measurement, and presentation to the leadership team.
  • Collaborate with senior data scientists on the development of models to solve complex business problems and own components of the solution.
  • Assist with support and maintenance for existing models in production.

Requirements
  • At least 2 years of proven experience solving business problems using SQL and coding.
  • Professional or academic coursework experience with statistical analysis such as linear models, multivariate analysis, hypothesis testing, and time series analysis.
  • Hands-on experience with the model development process, from feature selection to model evaluation.
  • Ability to communicate complex findings and solutions to non-technical stakeholders.
  • Experience working with large datasets in a cloud environment; we use Azure.
  • Experience with or eagerness to learn the tools and engineering skills involved in developing and supporting models in production.

Preferred Qualifications
  • Experience in solving marketing and operational problems within an e-commerce or similar domain.
  • Exposure to personalization or causal inference machine learning techniques.
  • Experience working with version control; we use github.
  • Experience with object-oriented programming.


What We Offer

Our Values

We are a mission-driven company and strive to embody our values in every step of the process. ButcherBox is driven by relentless improvement, accountability, humility, and customer obsession. We want our workplace to be one of growth and learning where everyone can be safe/comfortable to show up as their authentic self to work. Anyone who loves our products and goals is welcome here!

Benefits
• Health: medical, dental, vision, and life insurance, an employer-funded HSA, and short & long-term disability benefits
• Financial: 401(k) with generous employer match
• Annual bonus based on company performance
• Time off: unlimited paid time off policy, 20 weeks parental leave, an executive team that encourages a good work/life balance
• Personal growth: Annual Learning & Development stipend, and access to a range of personal and professional coaching solutions through BetterUp
• Food: a free Custom Classic ButcherBox each month and weekly lunch reimbursement
• Others: reimbursement for wellness activities, an exceptional EAP, fertility benefits, life insurance and more

Similar Jobs

More Jobs at ButcherBox

More Information Technology Jobs

Find similar Data Scientist I jobs: