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Data Science Manager

Employer
rewardStyle
Location
Homeworking
Closing date
16 Sep 2021

View more

Function
Technology
Level
Manager

Job Details

Title: Engineering Manager, Data Science
Reports to: Director, Data Science & Data Engineering
Location:
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

Company

Influencer Marketing is a rapidly growing space at the intersection of social media, advertising, and eCommerce. As the creator of this space, rewardStyle and LIKEtoKNOW.it offer the world's premier lifestyle influencers the ability to start their own business. Our technology platform provides them the tools, strategies, and support they need.

We run nearly $2B of retail sales per year through the rewardStyle platform, and the LIKEtoKNOW.it consumer app has more than 1.5M monthly active consumers connecting directly with our network of nearly 100k+ influencers and spending nearly $2B annually.  We are expanding rapidly and have tremendous growth ahead.  We seek exceptional problem-solvers to join our growing team.

Company info
Website
Telephone
9728835876
Location
3102 Oak Lawn Avenue
9th Floor
Dallas
TX
75219
US

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