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Data Analytics, Consulting, IT Services

Data Scientist

United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

Factspan Analytics is seeking a Data Scientist to leverage forecasting algorithms and A/B testing to improve demand planning and dynamic pricing strategies. The role involves working with time series and linear regression models, coding in Python, applying machine learning concepts, and utilizing GCP services like BigQuery and Vertex.AI. Responsibilities include driving discussions with business stakeholders and clearly explaining model outcomes. The ideal candidate will have 5+ years of experience in a related field and expertise in demand planning and dynamic pricing.

About Factspan Analytics:

Factspan Analytics Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in USA, Canada, UK, Europe & India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Media & Entertainment, Hospitality, and Logistic & Supply Chain.

About the Role

The Data Scientist will be responsible for utilizing forecasting algorithms and A/B testing to enhance demand planning and dynamic pricing strategies.

Responsibilities

  • Utilize forecasting algorithms and A/B testing.
  • Work with timeseries and linear regression.
  • Engage in demand planning and dynamic pricing.
  • Code in Python and apply ML concepts.
  • Utilize GCP (Big Query, Vertex.AI).
  • Drive discussions with consumers (merchants, buyers, and sellers' teams).
  • Explain models, patterns, and outcomes effectively.

Qualifications

5+ years of experience in a related field.

Domain: demand planning and dynamic pricing

Required Skills

  • Forecasting algorithms
  • A/B testing
  • Timeseries analysis
  • Linear regression
  • Python programming
  • Machine learning concepts
  • Good coding skills
  • GCP (Big Query, Vertex.AI)
  • Excellent communication skills
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