Data Scientist delivering data science projects for media companies at Samba TV in Warsaw. Collaborating with engineering and mentoring junior data scientists on the team.
About the role
- Data Scientist II utilizing cutting-edge machine learning and AI solutions at Early Warning Services. Collaborating with cross-functional teams to deliver business results and enhance financial services.
Responsibilities
- Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
- End to end feature engineering - brainstorm, create, validate, down-select, etc.
- Write production level code in a dynamic, start-up environment
- Solve complex problems using terabyte size data sets
- Apply a variety of machine learning techniques to a business problem to arrive at optimal approach
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities
- Explain and visualize results and algorithm performance to non-technical audiences
- Support the company's commitment to protect the integrity and confidentiality of systems and data.
Requirements
- Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field;
- A minimum of 4 years data science, engineering, mathematics, or related work experience is required.
- Experience developing data science pipelines & workflows in Python, R or equivalent programming language.
- Experience in writing and tuning SQL.
- Experience handling terabyte size datasets
- Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
- Experience using ML libraries, such as scikit-learn, mllib, etc.
- Experience using data visualization tools
- Able to write production level code, which is well-written and explainable
- Interest to do lots and lots of proof of concepts/rapid prototyping
- Ability to effectively communicate findings from complex analyses to non-technical audiences.
Benefits
- discretionary incentive plan
- benefits
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