Data Scientist driving growth at OnBuy through data insights and predictive models. Collaborating with Product, Marketing, and Seller teams to enhance customer experience and commercial decisions.
About the role
- Data Scientist at Imperial Supplies driving data-driven decision-making across the organization. Designing statistical models and machine learning applications to create measurable business value.
Responsibilities
- Collect, organize, and analyze large datasets from internal and external sources to support predictive modeling and strategic recommendations.
- Develop, test, and validate custom models, algorithms, and simulations using R/Python and SQL.
- Research and build machine learning applications involving structured and unstructured data, including regression, classification, and clustering models.
- Create automated processes to test and monitor model performance and ensure data accuracy.
- Develop and own measurement plans in partnership with key stakeholders.
- Present key insights and recommended actions to stakeholders at all levels using effective communication and storytelling.
- Build dynamic data visualizations using Power BI to monitor key business trends and metrics.
- Stay current on advancements in data science methodologies and tools, fostering innovation in analytical processes.
- Collaborate with IT and other departments to enhance data quality through improved cleansing and wrangling processes.
Requirements
- Master’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field — or equivalent work experience.
- At least 1 year of experience in a data science or related analytics role.
- Proficiency in R and/or Python, SQL, Power BI, and machine learning techniques (e.g., clustering, classification, regression).
- Strong skills in data mining, algorithm development, and performance testing.
- Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
- Strong organization and time management skills with the ability to manage multiple priorities in a fast-paced environment.
- Preferred: 3+ years of experience in a data science role.
- Familiarity with tools such as Snowflake, Smartsheet, or Jira.
- Demonstrated experience using large and multiple datasets to drive business value.
- Proven ability to work cross-functionally with stakeholders at all levels.
Benefits
- Competitive salary
- Hybrid / Remote schedule
- Work/Life balance
- Immediate medical, dental, vision; 18 days paid vacation, 6 paid holidays and 6% of annual earnings contributed to your retirement, immediately vested !
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