Tekinspirations
Frisco, TX
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Job Description :

Title - Data Science Lead
Duration - 3 Months
Location - Minneapolis, MI, (Remote)
Visa - No H1B; (USC/GC preferred)

Qualifications:

The ideal candidate: 

  • Is a driver and is able to move strategic ideals to actionable items and deliver their execution Has artificial intelligence and deep/machine learning engineering experience; must have
  • proven experience leading the strategy and development of ML/recommendation engines and data platforms for consumer and/or B2B enterprise products, ideally during early growth stages. 
  • Has an understanding of data pipelines and warehouses as they scale (distributed low-latency processing a plus) and how to manage cloud costs. 
  • Has experience with DL/ML models and frameworks, including leveraging open source and cloud managed services to accelerate development and results.  
  • Has worked on DL/ML projects that deliver business results, while clearly communicating ML and analytical techniques and processes to technical and non-technical colleagues. 
  • Is passionate about managing people, mentoring, and coaching them. Ideally, you’ve managed a team of across machine learning, data engineering, or data science roles and you want to grow into a manager or leader of managers in your next role. Is committed to recruiting, leading, and retaining diverse, inclusive, empathetic, and high-performing teams
  • deliver value to customers and business results and is excited to partner with an executive leadership team who is just as committed.?  
  • Has a deep interest in collaborating to continuously improve engineering culture, practices, values, process, speed, quality, execution, and delivery. 
  • Is excited about working at an early stage/growing org and getting hands on to manage and lead building high quality software and systems that deliver results. 
  • Experience partnering with business analytics and product teams to ensure the data platform supports the BI/analytics tooling needed to make fast, informed decisions.  

 

Education: 

  • Prior Product Ownership/Product Management experience, especially with large scale, Enterprise AI or voice applications and platforms 
  • Certification in AI, ML or automation would be a plus 


Client : NA