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Data Science Manager Job In Cartiga° At Los Angeles, CA
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Data Science Manager

  • Full-Time
  • Los Angeles, CA
  • Cartiga°
  • Posted 2 years ago – Accepting applications
Job Description

About Cartiga
As a pioneer in next-gen legal services, Cartiga is mapping the way to a better future with innovative solutions that help law firms and their clients navigate challenges, seize opportunities, and optimize litigation outcomes. Cartiga combines deep legal experience and expertise to provide industry leading products for perennial needs like funding, as well as new marketing and data-drive solutions that help law firms build stronger, more profitable businesses.
We are currently a small, but rapidly growing, team that is looking to expand our engineering team to include backend engineers and data scientists. We are looking for a Data Science Manager to lead various data driven initiatives.
What you’ll do:

  • Participate, plan and lead discussions with stakeholders across finance, marketing, underwriting and sales to identify opportunities for leveraging company data to drive business objectives
  • Grow the data science team and provide technical mentorship and guidance with projects
  • Collaborate with data engineering to create data assets needed for specific projects and contribute to improving overall data quality and reliability
  • Analyze data by mining company data to identify areas of optimization for the business and work with business stakeholders to help drive the business objectives
  • Be responsible for delivering machine learning models for predictive modelling purposes and solve on mathematical optimization problems

What you will bring:

  • Masters or PhD in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science, or related fields
  • Experience building and leading a team of data scientists and a proven track record of delivering value to business
  • Proficiency in Python is required with 3+ years demonstrated experience of developing machine learning models and statistical analysis
  • Proficiency and advanced knowledge in SQL are required with demonstrable understanding of writing optimal queries
  • Knowledge of advanced statistical techniques and experience applying them to various problems
  • Desirable to have experience in NLP and text mining techniques
  • Experience with distributed data / computing tools such as PySpark or Dask is nice to have
  • Excellent written and verbal communication skills for coordinating across teams
  • Experience working in Financial Services, Health Care or Insurance space is desirable

Job Type: Full-time

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