Sr. Data Scientist I
Senior data scientist at Zoro, a B2B eCommerce platform selling tools and industrial supplies, who leads end-to-end ML projects (forecasting, segmentation, search relevance, recommendations). Day-to-day work spans Python, SQL, cloud platforms (GCP/AWS), deep learning frameworks, learning-to-rank models, and LLM/genAI applications with production-grade code.
- Compensation
- $105.1K–$175.1K / yr
- Location
- Chicago, Illinois, United States
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Master's degree in a quantitative field such as Statistics, Data Science, Computer Science, or other STEM disciplines
- 6+ years leading data science projects with direct business impact (or PhD with 4+ years)
- 6+ years applying data mining and machine learning to complex business problems
- 5+ years hands-on experience with deep learning frameworks to develop, train, and optimize models
- 2+ years hands-on experience developing learning-to-rank models and tuning ranking/relevance metrics
- 5+ years of Python experience processing large datasets and productionizing scalable ML in cloud/distributed environments
- 5+ years with advanced SQL and cloud-based data platforms such as Google Cloud Platform or AWS
- 3+ years applying LLMs/generative AI to business use cases, including designing evaluation frameworks
- Strong knowledge of statistical and causal inference methods, parametric models, and experiment planning
- Hands-on application of SOLID principles and modern software engineering practices (maintainable, testable, scalable systems)
- Strong communication and cross-functional collaboration skills with business stakeholders
Nice to have
- Experience building or operating real-time, low-latency systems
- Experience working with vector databases and feature stores
- Experience using data science in an Internet retailer or consumer-focused company
- Experience using Docker and Kubernetes in production
- Experience using orchestration tools such as Airflow or Kubeflow
- Familiarity with BI tools such as Tableau or Looker
Full description
Company Summary
Zoro.com is a leading eCommerce platform offering nearly 12 million tools, parts and supplies for our business customers. Launched in 2011, we brought a B2C-like experience to the B2B industry, and continue to be at the forefront of digital innovation at the intersection of technology and distribution. We have rapidly grown to over $1 billion in annual revenue and we’re just getting started!
**Position Description:
**As a Data Sr. Scientist I at Zoro, you’ll apply your expertise in machine learning, deep learning, statistical modeling, and data analysis to solve a variety of business challenges. From forecasting and customer segmentation to improving onsite search and recommendations, our team directly enhances our customers' experiences and informs critical business decisions. At Zoro, every day brings new challenges and opportunities to innovate.
Duties and Responsibilities:
- Apply domain and industry knowledge to solve complex data science projects, developing advanced machine learning models, and driving data-driven decisions within the organization.
- Lead data science projects from start to finish by refining objectives, developing a project plan and methodology, and collaborating with business and technical teams.
- Write and maintain high-quality, production grade code, including unit and integration tests.
- Establish and maintain comprehensive, accurate evaluation frameworks to assess model performance and inform ongoing improvements.
- Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research to deliver final outputs.
- Provide guidance on tools, practices to drive efficiency, technical debt, data sources, and best practices.
- Mentor and guide junior data scientists on algorithms, coding best practices, and other technical concepts.
- Document code and data science processes that are critical to the company and develop strategies to ensure those processes are robust and fault-tolerant.
- Communicate findings to business leaders and colleagues using data visualizations, presentations and reports.
Minimum Qualifications:
- Master’s degree in quantitative fields such as Statistics, Data Science, Computer Science, and other STEM disciplines.
- 6+ years of experience leading data science projects that have a direct impact on a company's objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science with 4+ years of experience.
- 6+ years of experience applying data mining and machine learning to solve complex business problems, including 5+ years of hands-on experience using deep learning frameworks to develop, train, and optimize machine learning models.