Внимание! Вакансии нет на российских job ресурсах: Head of Analytics & Data Science в Dostavista.global

25 августа 2020
Москва, Санкт-Петербург, удаленно

Dostavista.global looking for a leader who can raise analytics and data science from supporting to leading function of innovation at Dostavista.

 

Mission
The mission of the Global Head of Data Science & Analytics is to build a team and processes that make this dispartment a driver of innovation, empowering others to achieve more.
You will be responsible for building the team of A-players, expanding horizons, sourcing knowledge, evangelism and information flow, bridging the gap between science and business, driving tangible results.
Even though we have just scratched the surface of what’s possible with DS and analytics, your team is already composed of 7 analysts and 3 data scientists. They will rely on you to remove their bottlenecks, as well as, set ambitious goals and priorities. They, together with the rest of the company, want to feel confident that the company is using the most cutting edge analytics and data science technologies in a way that drives business growth.

 

Expected outcomes
— Evolving, but present and all encompassing vision of data science and analytics department
— Data informed culture across all teams
— Business state is accessible via key metrics and dashboards
— Key company objectives are properly measured
— Data science is used for operations automation
— Successful and impactful use cases of predictive analytics in product and marketing
— Publications of successful cases.

 

Requirements
— Deep technical expertise in Data Science, product and business analytics or related fields, including hands-on experience of taking projects from business requirements to working models in production.
— Experience in building of ETL pipelines: Airflow, Hadoop, Spark.
— Experience in implementing DL models; familiarity with best practices in CV and NLP.
— Proven track record of successful Data Science or analytical team management, including experience mentoring teams and managers to high performance.
— Track record of leading a lean and result-oriented team, and effective prioritization.
— Awareness of the latest relevant publications and familiarity with SOTA ML solutions.

 

Most of the R&D team is currently based in Moscow. This position can be based in any one of our 10 global offices or remote.

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