Data Scientist

About Unacast

Unacast is a global leader in location intelligence, transforming our understanding of human activity in the physical world. We leverage machine learning and AI to extract valuable, privacy-friendly insights from location data, delivering unique intelligence to companies across various industries. We're a thriving company with a strong client base, yet we maintain the startup spirit where your work truly makes an impact—join us as we enter an exciting phase of growth and innovation!

We are looking for a Data Scientist to create data models and algorithms to describe people movement.

This role is in the Turbine Business Unit of Unacast, the location processing platform for Telcos, which comprises models and algorithms we offer to Telcos to turn their raw signal data into people movement insights. Today our models help Telcos create insights they monetise by helping their customers answer questions like: how many people went to a music concert, how many people took a specific train or what means of travel people used on a specific road segment. We are constantly adding new data models and using the best of ML/AI to improve the mobility insights we can create using Telco data. You will be an active participant in driving the future development of Turbine.    

This is an on-site hybrid position (with 2-3 days in the week working in our Oslo office, or more if you want!). In case of a change of location, Unacast will not be able to handle Visa application support or relocation.

Our main office is on Karl Johans Gate in the heart of Oslo, where we meet every week with our international colleagues, both for work and for socializing. Our welcoming office has a focus on comfort, and this is reflected in the surroundings. Being part of Unacast means being part of a friendly and efficient workplace, with opportunities to grow and advance within the company.

Why is the “Data Scientist” role critical to us?

Our new team member is someone who can build data models and algorithms for creating mobility insights using Telco data.  

How will you spend your time at Unacast Turbine?

• Design and create models and algorithms for telco data, some might be ML/AI depending on needs
• Efficiently and flexibly writing BigQuery SQL queries that can be incorporated into the data pipelines, to solve newly arising challenges 
• Write technical documentation for data models and algorithms
• Optimising data storage methods to minimise costs and maximise efficiency
• Creating pipelines that allow for rapid near real-time processing of high volumes of data

You are just the person we’ve been looking for, if you have:

• An academic degree equivalent to a Bachelor's or higher in Computer Science or a similar field
• Experience working with telco data (nice to have)
• At least 2 years of experience in Data Science, preferably using Apache Airflow and Dataflow
• Experience using Python and SQL for data processing (preferably within the BigQuery dialect) and deploying ML models
• Excellent communication skills and are proficient in English
• A problem solving and positive mindset with a “can do” attitude to tackle challenges together with your team.
• Adaptable and full of curiosity - We are a startup, so things can change fast and you need to be agile and proactive on this journey

Tech Stack you should be comfortable with:

• BigQuery
• Python
• Java
• Git
• Apache Airflow
• Visualization tools: Kepler.gl, matplotlib, +

What we offer:

• A passionate, intelligent and fun team
• Impactful work on unique, cutting-edge solutions.
• Hybrid work location (with 2-3 days/week in the office).
• Professional development support (including regular hackathons and 3 “learn-something-new” days per year).
• Scandinavian work culture with flexible working hours
• Competitive salary
• An international work environment with colleagues from around the world
• Six weeks of vacation
  
• Free lunches, snacks, and quality coffee at the office
• Paid phone subscription, high quality phone and computer, paid gym membership, sock allowance, insurance and more

We care deeply about our team, creating a space where you can thrive, connect, and make a real impact. We’re excited to see how you can contribute and look forward to receiving your application!