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Opus Recruitment Solutions provided pay range
This range is provided by Opus Recruitment Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
We have an exciting opportunity for you to drive innovation and lead data science initiatives during a transformative period of growth!
The Company: Recently acquired by a dynamic private equity firm, the company is entering an exhilarating phase of expansion and innovation. This is your chance to be part of a company that's poised to revolutionize the retail tech industry!
Key Responsibilities:
* Lead and mentor project teams in developing comprehensive data solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, creating end-user reports, and documenting models.
* Oversee and guide customer analytics projects, including segmentation and churn analysis, to drive strategic business insights.
* Strategically develop and optimize propositions for services such as credit and warranties, ensuring alignment with business goals.
* Direct and enhance product and range analytics efforts, including range optimization, to maximize business performance.
* Collaborate with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with organizational objectives.
* Build and maintain strong relationships with business stakeholders, ensuring their requirements are met and fostering a collaborative environment within the data analytics community.
About the Team: Our data science team provides critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. We are committed to continuous learning and staying up-to-date with the latest developments in data analytics.
What You'll Need:
* Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
* Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers.
* Outstanding communication skills to effectively convey data insights to various functions at all levels of the business.
* Deep proficiency in core analytical techniques and a proven track record in delivering data science projects.
* A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
* Extensive experience in a data science role using tools such as SQL, Python, R, Power BI, and Azure.
* Experience with Databricks and working with large amounts of data.
Ready to lead and innovate in the field of data science? Apply now and join a team that's shaping the future of retail!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Strategy/Planning, Engineering, and Information Technology
Industries
Technology, Information and Media, and Software Development
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