Senior Manufacturing Data Science Lead
hace 1 día
Tiger Analytics, a pioneering force in AI and analytics solutions for global organizations, is expanding its capabilities to tackle the most complex problems faced by Fortune 100 companies.
We have offices across the US, UK, India, and Singapore, with a substantial remote workforce. As a market leader in AI and analytics consulting for the CPG & retail industry, we're seeking an experienced Senior Manufacturing Data Science Lead to join our team.
This role offers a unique opportunity for significant career development in a fast-growing entrepreneurial environment with high individual responsibility. The ideal candidate will have strong coding skills and be able to lead domain conversations on solution consulting.
Key Responsibilities:
- Apply data science to solve business problems in the Manufacturing team of the Retail and CPG space.
- Communicate analytics approaches effectively to meet business objectives.
- Lead and mentor a cross-functional team, fostering collaboration and high performance.
- Collaborate with internal teams, including Marketing, Sales, Engineering, and Analytics.
- Stay connected with external sources of ideas through conferences and community engagements.
Requirements:
- 10+ years of hands-on work experience in Smart Manufacturing.
- Fluency in Spanish language.
- Familiarity with typical data sets, EDA, and Data Wrangling.
- Experience with Manufacturing KPIs, Monitoring & Optimization.
- Understanding of Data Systems, including Manufacturing Control Tower and MES.
- Advanced analytics skills, including product roadmaps and strategic planning.
- Proven experience managing a team and leading product initiatives.
- Analytical Mindset: Strong data analysis skills and experience in pricing strategies.
- Exceptional communication and collaboration skills.
- Experience in Azure environments and Databricks is a plus.
Estimated Salary: $150,000 - $200,000 per annum, depending on experience.
Benefits:
- A competitive salary range.
- Ongoing training and professional development opportunities.
- A dynamic and supportive work environment.
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