Position: Senior Data Scientist (Python)
Company: MoveUp
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2021-05-01T00:00:00+03:00

We build enterprise software for supervising and correcting systems in production. That includes detecting data and concept drift, estimating performance loss, and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that our systems keep adding value and that insight that can be extracted from our systems is clearly communicated to business stakeholders. We want to make our systems in production effortless to interact with and extract value from.

About the Role
You will work along with a team of experienced Data Scientists, Data Engineers and Software Engineers. You will be responsible for implementing AI monitoring algorithms. As we grow, we expect you to grow with us. We envision your path may grow from your position into ML Engineering Team Lead. You will get meaningfully involved in the areas of product, engineering, hiring and people management among others.

Responsibilities:
- Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.
- Tackle new research and ML problems and implement efficient and effective solutions.
- Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.
- Help design and develop new internal tools to facilitate product development and algorithmic research.
- Work closely with the founding team to help define the technical roadmap.

Requirements

Basic Requirements:
- Ignore everything below (including the compensation) if you have significant hands-on experience in AI monitoring
- 3+ years of previous experience developing production-ready Machine Learning models on tabular or time-series data
- Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case
- Strong experience in Python data stack and ML deployment technologies
- Software engineering best practices, version control, containerization and testing
- Good communication skills in English - both oral and written

Nice to haves:
- Familiarity with model risk management, model monitoring or model maintenance
- Experience working at a data-focused startup

Benefits:
- Fully Remote Working Environment
- 23+ Days of Planned Leave Annually
- Paid sick leave and private healthcare plan
- We support paid parental leave
- Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits