Leading the company with data to drive business solutions
Working on projects including but not limited to transaction monitoring, customer onboarding, cost to serve cost to acquire calculation.
Building predictive models to a production level with reusable code
Working closely with and guiding the junior data scientists on the team
Qualifications
Your Story
Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
3+ years of professional working experience
Someone who thrives in developing innovative, state-of-the-art products that can meet and surpass the latest advances in the field
Proficiency in Python, Amazon SageMaker, SQL, Jupyter Notebook
Experience with Machine Learning and statistical inference.
Understanding ofΒ ETLΒ processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation
Ability to communicate outcomes of Analysis to business stakeholders
Strong analytical and problem-solving skills
Ability to think creatively and insightfully about business problems
Nice to have:
Proficiency in Snowflake, Tableu
Additional Information
The Perks
CompetitiveΒ salary;
Health Insurance;
25 days of Annual leave (+ Bank holidays);
Office snacks every day;
Friendly, comfortable and informal office environment;
Flexible working hours, as long it suits both you and your team.
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