Data Science & BI Developer

Cph Ai Hub; Hørsholm; A distancia; DKK 700.000 - 900.000; Jornada completa

Descripción de la vacante

Trackman in Denmark, located at DTU Science Park in Hørsholm, seeks a Data Science and BI developer to build internal and customer-facing BI reports and dashboards. You will develop dimensional models and automate data pipelines to deliver reliable, scalable insights.

You will collaborate with data scientists and engineers to prepare data, perform statistical analysis, and experiment with ML models for production.

Formación

• Strong educational background with data-focused coursework in science or engineering.
• Experience processing, preparing, cleansing, and mining data in SQL and Python.
• Experience developing dashboards and reports in a BI toolset.
• Experience applying data science and ML methods across unsupervised and supervised approaches.

Responsabilidades

• Develop internal and customer-facing BI reports and dashboards.
• Use dimensional modelling to develop database schemas and semantic layers.
• Manage data warehouse data pipeline automation rules and operations.
• Collaborate with Data Engineers to acquire and prepare data, perform cleaning and analysis.
• Interface with product owners, operations, and developers to refine requirements.
• Identify and perform data science model selection and feature engineering for production.

Conocimientos

SQL

Python

Dashboards

Data science

Machine learning

ETL

Scrum

Educación

Science/Engineering degree

Herramientas

NumPy

Pandas

scikit-learn

BI tools

Descripción del empleo

Be a part of the data revolution in sports!

This is a great opportunity to join our growing Data Science and BI developer team. Our team is responsible for the development and operations of both our internal and customer-facing reporting and dashboard solutions, as well as our data science and machine learning products. We are focused on making our rich tracking data more actionable to customers as well as supporting our internal product development and operations with useful insights. We also use our data to develop data science and machine learning solutions that enhance our product experiences. In collaboration with our cutting-edge radar and computer vision-based tracking technology, we are building products used by the best athletes in the world.

Example projects we are working on:

• Reporting for environmental variations between stadium tracking locations based on athlete performance models and statistical analysis
• Dashboards for trends and detecting outliers in radar tracking and computer vision diagnostics across thousands of remote devices
• Translating ball tracking metrics into coaching-orientated measures to help amateur athletes improve their performance
• Supervised learning models to suggest both practice and gameplay recommendations to make our sophisticated products easier to use
• Vision-based person detection combined with predicting the position they play on the field for game strategy

Your Profile

You have hands-on experience working with data day to day in SQL and python, from the fundamentals of loading, ETL, and pipeline automation to answering ad-hoc questions from the business and operations teams. You have experience developing reports and dashboards to address the questions that are reoccurring. You are familiar with using a developer tool stack and operating in a scrum team. You also have experience using data science modelling techniques to derive next-level insight from data, as well as an appreciation for running machine learning in production. Your focus is on the practical outcome and value to the business of using data to inform everything we do. You like working in an international team across many cultures. You like sports.

Responsibilities

• Develop internal and customer-facing BI reports and dashboards
• Use dimensional modelling to develop database schemas and semantic layers
• Manage data warehouse data pipeline automation rules, ensure smooth operations
• Work with our Data Engineers to acquire and prepare working data, initial data cleaning, statistical analysis, and mining
• Interface with product owners, operations, and developers to refine requirements
• Identify and perform data science model selection, feature engineering, and tuning, develop an experiment based and evaluation workflow, package for production

Job requirements

• A strong educational background where coursework required heavy use of data and a scientific or engineering based workflows
• Experience with data processing, preparation, cleansing, and mining, in SQL and Python
• Experience developing dashboards and reports in a BI toolset
• Experience with applying data science and machine learning methods and move across a variety of unsupervised and supervised approaches, experience with NumPy, pandas, sci-kit learn

Working in a fast-paced, team-based environment also demands a certain degree of self-planning, as well as the ability to work independently. Your colleagues are highly skilled, innovative, and proactive in their work approach. They possess strong analytical skills, are good communicators in English, and take pride in their job and deliverables.

The Office

We are located at DTU Science Park in Hørsholm. We take great pride in the state-of-art building we have designed! The office features bright meeting rooms, coffee areas to catch up with colleagues, a large testing arena with simulators available for employees and a fitness center, everything surrounded by a beautiful forest and respecting the environment. We made sure to utilize the newest technologies to be energy efficient and be mindful of ventilation and sound propagation. The cherry on top is our canteen: with an indoor and outdoor area to enjoy the fresh food prepared by our own kitchen staff.

Join the home of a powerful sports brand and a one-of-a-kind technology

Our proprietary technology is based on expert knowledge about radar, computer vision, data, and software engineering. Our solutions are developed by specialists who endlessly explore and challenge new technical boundaries. Trackman’s blend of cutting-edge technology, sports, and continued growth make our company an outstanding place to work.

Our work culture is entrepreneurial, ambitious, and rewarding as you get to collaborate with inspiring colleagues and interact with the leaders of golf, baseball, and football. Based on a unique brand reputation, we are proud to work in close partnership with the top athletes, organizations, and teams that rely on our technology to stay ahead of the race.

We are a Danish company founded, owned, and managed since 2003 by three entrepreneurs with a strong passion for sports. Today, we have a global footprint with our headquarters located in Denmark (Hørsholm) and offices in New York, Phoenix, Seoul and Tokyo. We employ over 1000+ people worldwide, half of which work in Denmark, where most hardware and software products are developed, tested, and manufactured.

Where innovation happens

At Trackman, we know that great people make great products. We believe that teams thrive, and innovation sparks in an atmosphere where people are encouraged to think for themselves, where everybody’s voices are heard, and where the best ideas prevail in the pursuit of exceptional solutions. This mix makes Trackman an inspiring company – for our customers and colleagues.