Data Scientist with ML

Spirite Industries, Inc.
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Data Analysis Big Data Software Quality Extract Transform Load (ETL) Data Visualization Database Queries Python (Programming Language) Machine Learning Marketing Information Systems NumPy SQL Databases
+4 more
Model Validation Pandas Scikit Learn Statistics Packages

Job description

  • Build and optimize predictive models (e.g., churn, propensity, segmentation, CLV, recommendations)
  • Analyze consumer and marketing data across multiple sources
  • Model and optimize customer journeys using AI/ML techniques
  • Collaborate with marketing and product teams to define analytical priorities
  • Translate complex analytical findings into clear business recommendations
  • Deliver analytical outputs together with actionable usage guidance for business teams
  • Prepare high-quality presentations, reports and data visualizations for non-technical stakeholders
  • Track model performance and measure business impact on marketing KPIs and P&L
  • Identify new opportunities for data-driven growth and champion data-based decision-making across the organization

Requirements

  • Minimum 5 years of experience as a Data Scientist
  • Strong proficiency in SQL - ability to write complex queries, join large datasets, and prepare data for modeling
  • Proficiency in Python (libraries such as pandas, numpy, scikit-learn, statsmodels or similar) - focus on data analysis, modeling, and result validation
  • Experience working with large datasets and ETL processes
  • Ability to work with business data and interpret analytical results
  • Attention to code quality and reproducibility of analyses
  • Ability to communicate effectively in English in an international environment

Nice to have

  • Expertise in the marketing and consumer analytics domain
  • Good understanding of segmentation models (clustering, scoring, customer profiling) and predictive models (propensity, churn, LTV)
  • Basic knowledge of model validation and performance metrics (AUC, lift, confusion matrix)

Benefits & conditions

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

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