ML & Data Science Team Lead (f/m/d)

Berlin, Berlin, Germany

Applications have closed

CoachHub

CoachHub is the leading digital coaching platform for remote & online coaching with over 4,000 international, certified coaches.

View company page

About the job

Data is important to us! In order to make CoachHub even more data-driven we are looking for a Machine Learning & Data Science Team Lead to join our Data and Insights team.

In this role, you will be responsible for leading a team of Machine Learning engineers and Data Scientists for building new machine learning products and improving the current ones. Also, the team is responsible for making statistical analyses for improving the user experience.

Responsibilities:

  • Give your team direction and guidance according to the company strategy and priorities
  • Manage a team of ML engineers and Data Scientists, responsible for growth, motivation and hiring
  • You establish and manage processes and standards within the team to ensure effective delivery of impactful data products in an agile working mode
  • Help build world-class data products. Create a vision and a strategic roadmap of ML & DS within the company.
  • Translate business needs into clearly scoped machine learning projects, and take a hands-on approach to steer solution design and implementation
  • Provide both technical and organizational leadership

Requirements:

  • 4+ years of experience in leading multi-disciplinary teams in the field of data science, behavioral science, etc., and fostering the individual’s strengths
  • Experience running machine learning workloads in production. We use, e.g. Python, FastAPI and Tensorflow running on AWS
  • Strong team management skills (mentoring, knowledge transfer and project management, as well as working with agile methods)
  • Practical experience in deploying ML Models to the cloud (AWS is a bonus, other cloud providers also work)
  • You have experience in applying methods from machine learning, operations research and/or statistics to user behavior data sets
  • You have very good English language skills

What we offer

  • The opportunity to join a fast-growing start-up company 
  • A lot of personal responsibility and ownership
  • An extremely steep learning curve in an interdisciplinary team 
  • Your commitment has a direct impact on the business
  • Diverse learning and training opportunities as well as a personal business coach
  • Fun in a highly motivated team
  • Central Location Berlin or remote work

About CoachHub

CoachHub is the leading global talent development platform that enables organizations to create a personalized, measurable and scalable coaching program for the entire workforce, regardless of department and seniority level. By doing so, organizations are able to reap a multitude of benefits, including increased employee engagement, higher levels of productivity, improved job performance and increased retention.

CoachHub’s global pool of coaches is comprised of over 3,000 certified business coaches in 70 countries across six continents with coaching sessions available in over 60 languages, to serve more than 500 clients. To match our ambition we need an amazing team, and we’re bringing together kind, smart and highly-skilled people from all corners of the globe: we’re growing our team to 1000+ by the end of 2022.

Our programs are based on advanced R&D from our Coaching Lab, led by Prof. Jonathan Passmore and our Science Council. CoachHub is backed by leading tech investors, including Draper Esprit, Holtzbrinck Ventures, Partech, RTP Global, Signals Venture Capital and Speedinvest. In September 2021, CoachHub acquired French digital coaching pioneer MoovOne to build a global champion focused on jointly democratizing coaching.

Tags: Agile AWS Machine Learning ML models Python R R&D Research Statistics TensorFlow

Perks/benefits: Career development Salary bonus

Region: Europe
Countries: Germany United States
Job stats:  18  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.