Role Overview
As a Mid-level Data Scientist, you’ll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences. You’ll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results.
What You Will Do
Design, develop, and implement machine learning and AI solutions that create measurable value across the organization. Transform complex data into actionable insights and recommendations for both technical and non-technical audience.
Why It Might Be a Fit
You’ll thrive in this role if you’re curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact.
Requirements
- Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, Data Science, or a related quantitative field.
- 2-4 years of professional Data Scientist or Machine Learning Engineer experience.
- Strong understanding of Statistics, Machine Learning, and Deep Learning concepts, including hypothesis testing, regression, classification, optimization, and neural network architectures.
- Proficiency in Python and SQL, with experience working with large datasets and relational databases.
- Strong verbal and written English communication skills, with the ability to explain sophisticated concepts and collaborate optimally across cross-functional teams.
Benefits
- Employee Stock Purchase Plan with discounted company shares
- Pension plan with Nasdaq contribution
- 6 additional days off per year
- Work from (almost) anywhere – up to 20 days per year
- Paid time off to volunteer
- Health insurance
- Free gym, yoga, and pilates classes, plus discounted in-office massages
- 24/7 mental health support for you and your family
- Global mentoring program
- Unlimited access to e-learning platforms
- Modern, comfortable office environment with fresh fruit, snacks, and weekly Fika breaks
To apply for this job please visit nasdaq.wd1.myworkdayjobs.com.

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