Data Science Manager

18 May 2021
16 Sep 2021
Title: Engineering Manager, Data Science
Reports to: Director, Data Science & Data Engineering
This is a fully remote position. If you are located near one of our LTK offices, come have a coffee when you want to socialize!

Day to Day Responsibilities:
  • Lead and coach LTK's data science team in multiple geographies
  • Deliver elegant code alongside your team members while also mentoring your team members
  • Build data delivery services that support critical operational and analytical applications for our business operations, customers and partners
  • Collaborate with Product, Business Intelligence and Client Success teams to understand the requirements and implement them into scalable solutions
  • Recruit and hire data scientists
  • Establish and monitor objectives for all employees by providing regular feedback, coaching, training and development that fosters both personal and organizational growth
  • Work and succeed in an agile development environment
  • Be a technical expert and help raise up the teams you are leading
  • Develop custom algorithms for solving complex business problems across a wealth of structured and unstructured data across multiple data sources
  • Use relevant knowledge of computer science fundamentals, distributed computing and machine learning to help build scalable analytical solutions
  • Drive select special projects end-to-end - from outlining the type of solution through implementation, interpretation of results and integration into our client and consumer facing applications and services

Desired Qualifications:
  • Masters or Ph.D. degree in computer science or related degree
  • 7-10+ years of programming expertise in Scala, Python
  • 5-10+ years of coding in production of big data ecosystems including data engineering, modeling, data warehousing, and database architecture.
  • Demonstrated experience developing machine learning models required.
  • Knowledge of the evolving data science practice
  • 3-5 years building and delivering data pipelines, data lakes and ETL solutions at large scale in the cloud
  • 3+ years of people leadership and cultivating talent to lead high performing teams
  • Experience leading a data science team is preferred.
  • Experience in AWS Big Data and serverless solutions is required (AWS Glue, EMR, Redshift, Athena).
  • Enjoys working on complex and exciting problems, with high-velocity and multi-dimensional information across multiple sources
  • Strong practical experience with NLP, statistical analysis, deep learning, event stream processing, neural networks, predictive and sentiment analytics, data engineering and scripting / enterprise grade programming across a variety of environments
  • Familiarity with a variety of tools including languages (R, Python, Scala, C++), databases (T-SQL, Postgresql, NoSql, etc.), Machine learning tools (e.g., Sagemaker, Apache Mahout, Apache Spark MLib, Scikit-Learn, etc), deep learning (e.g., Google TensorFlow, Apache Singa, etc.) and IDEs (e.g., RStudio, Anaconda, PyCharm, MS SQL Server Management Studio, etc.)
  • Excellent interpersonal, written, and verbal communication skills
  • Demonstrated self-direction and open-mindedness in teaching others and learning new techniques

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