Offer summary

Qualifications:

Minimum 5 years of professional experience in data science., Bachelor's degree in Mathematics, Economics, Computer Science, Physics, or Statistics., Proficiency in SQL and Python or similar scripting languages., Knowledge of machine learning and statistical modeling techniques..

Key responsibilities:

Develop and implement data models to predict customer payment behavior.

Design and analyze A/B experiments to inform decision-making.

Collaborate with stakeholders to analyze complex data and provide insights.

Lead and manage data science projects, ensuring alignment with company strategy.

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets.

At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 175 million people in our target markets. We are a team of ambitious professionals who value innovation, speed, high growth and high performance. For more information on the group, please visit www.creditstar.com.

Our vision is to build and deliver digital banking products of the future. If you want to be part of this, here is your chance.

YOUR POSITION:

DATA SCIENTIST

YOUR ROLE:

How about being a key player in driving the data strategy in the company? We are looking for a Data Scientist who will own and develop the data science framework for all our Products across the Group.

As a Data Scientist you will be at the forefront of underwriting development, defining how and what data should be collected to improve our decision making and enable discovery of actionable insights that will improve the experience of our customers in 8 countries. You will be helping Product and Risk Managers make datainformed decisions and lead your own projects. With us, you can push your creative ideas forward and take care of making innovation in the datadriven world!

YOUR DAILY ADVENTURES WILL INCLUDE:

Build models based on data to predict customers’ payment behavior.

Design AB experiments, analyze the results, and provide decision recommendations.

Work in tight cooperation with stakeholders to analyze complex data and provide datadriven insights for businesscritical decisions.

Review the work and provide feedback to data analysts and data scientists.

Share your knowledge and provide training on best practices in data processing and analytics methodologies.

Define data science strategy, communicate and align it with the management and other teams.

Propose, assess, prioritize, and lead data science projects.

Work closely with data engineers to ensure the best possible data infrastructure across products.

Research and implement best practices and standards in Data Science across product teams.

REQUIREMENTS:

At least 5 years of professional experience related to data science.

BS in Mathematics, Economics, Computer Science, Physics or Statistics.

Excellent knowledge of SQL and Python (or a similar scripting language).

Knowledge of machine learning and statistical modeling techniques.

Strong analytical and problemsolving skills.

Good project management skills.

Proactive attitude, sense of ownership, ability to work autonomously but also to coach other team members.

Having a startup mindset and willingness to work in a fastevolving environment.

Fluency in spoken and written English.

Passion about what you do.

BONUS POINTS IF YOU HAVE:

Experience of project and people leadership.

Previous work experience in the FinancialFintech sector.

Benefits

Dynamic, challenging, and rewarding work within a growing international company where one can REALLY make an impact;

Regular company parties and events;

Brand new office in the center of the city with games and free snacksdrinks;

Competitive remuneration package

Sports or health insurance compensation

Birthday dayoff

Join us and contribute to our mission while advancing your career. Apply now!
* Please note that this is not a remote position and requires to be present at the office at least 3 days a week.