Analytics and Data Science Team Lead at Starship Technologies
Helsinki, Etelä-Suomi, Finland -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Starship Technologies is revolutionizing deliveries with autonomous robots. These robots are designed to deliver food, groceries, and packages across college campuses and neighborhoods in minutes. Starship has now completed millions of autonomous deliveries to date, traveled millions of miles, and is currently doing more than 140k road crossings each day. Our contribution to society includes reducing congestion, and pollution, providing zero-emissions deliveries, increasing the quality of life for residents, empowering seniors and disabled people, and enabling affordable delivery for local businesses.
We’re hitting records on an almost weekly basis. Now is an exciting time to join as we grow rapidly around the world!
We are looking for an Analytics and Data Science Team Lead to join our Data team and play a key role in impacting business growth through data-driven insights.

Responsibilities

THIS ROLE WILL BE A BALANCED MIX OF 50% HANDS-ON AND 50% LEADING A TEAM OF 3.

You’ll have a direct impact on shaping the company’s success by collaborating with key leaders across the organization, supporting, challenging, and guiding various business stakeholders in data-driven decisions that have a direct impact on growth and strategy.

YOUR MAIN RESPONSIBILITIES ARE:

  • Supporting Starship’s data analytics needs across all functional domains, including insights, decision support, metrics, and reporting
  • Collaborating with functional domain leads to ensure the most impactful data opportunities are addressed
  • Looking after the well-being, productivity, and professional growth of your direct reports
  • Defining ways of working and maintaining standards and quality in the data analytics and data science domains
  • Planning for and hiring into the team to ensure the long-term success of the team
-
Loading...