Data Scientist

Описание вакансии

We’re looking for an experienced Data Scientist who will help build trusted, data-driven insights and predictive models to improve Planning & Scheduling processes and support a broader transformation program focused on automation, AI/ML adoption, and strategic decision-making.


Key responsibilities:

  • Collect, prepare, and analyse complex datasets.
  • Develop data models and predictive analytics solutions.
  • Identify data quality issues and improvement opportunities.
  • Deliver actionable business insights and recommendations.
  • Collaborate with business, architecture, and technology teams to productionise solutions.
  • Work closely with stakeholders to validate and gain approval for developed models.

Main deliverables:

  • An MVP predictive model estimating job effort across two major product lines.
  • Business-approved and trusted analytical models.
  • Supporting data models and standardised data definitions.
  • Data quality assessments and improvement recommendations.
  • Documentation and knowledge transfer materials.

Key skills and experience:

  • Strong background in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Experience with data modelling, statistical analysis, predictive analytics, and large datasets.
  • Strong problem-solving and stakeholder communication skills.
  • Familiarity with data architecture concepts.
  • Experience with operational/planning environments and production data solutions is a plus.

We offer:

  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
  • Competitive compensation that depends on your qualification and skills
  • Career development system with clear skill qualifications
  • Flexible working hours aligned to your schedule
  • Options to work remotely
  • Compensation of medical costs
  • English courses online
  • Corporate parties and events for employees and their children
  • Internal conferences, workshops and meetups for learning and experience sharing
  • Gym membership compensation, corporate sport competitions (cybersport included)
  • 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Навыки
  • Data Science
  • Английский язык
  • Statistics
  • Mathematics
  • AI/ML
  • Анализ данных
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