обновлено 2 дня назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building predictive models, strategic analyses, and self-service dashboards to answer business questions around customer churn, risk, growth, and expansion with an accent on machine learning, statistical analysis, and large-scale data platforms. Focus on translating ambiguous executive questions into rigorous analytical approaches, quantifying business impact, and presenting actionable insights to technical and senior stakeholders.
Location: United States; based in Alpharetta, Georgia
Company
provides purpose-built enterprise software, ERP, supply chain management, and compliance solutions for specialized organizations across multiple industries.
What you will do
- Partner with Strategy leadership and business stakeholders to structure ambiguous business questions into analytical approaches.
- Analyze data from unified and multi-source data platforms to answer strategic questions for leadership.
- Build and own predictive models, quantify business impact, and investigate customer churn, risk, growth, and expansion opportunities.
- Perform exploratory data analysis, statistical analysis, and A/B testing to validate hypotheses.
- Clean, preprocess, and validate large datasets from multiple internal sources.
- Build AI-first dashboards and self-service tools, then communicate findings through visualizations and reports to technical and executive audiences.
Requirements
- 5+ years of experience as a Data Scientist with predictive modeling experience.
- Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Strong SQL skills and experience working with large, multi-source data platforms.
- Strong understanding of statistics, data modeling, and machine learning algorithms.
- Experience with large datasets, visualization tools, and MLOps practices.
- Ability to present technical findings clearly to non-technical and senior stakeholders.
Nice to have
- Ph.D. in a related field.
- Experience with SparkSQL, Fabric, or Spark data frameworks.
- Familiarity with AWS or Azure for model development and deployment.
- Experience with Tableau, Power BI, or similar visualization tools.
Culture & Benefits
- Competitive pay and robust benefit plans.
- Flexible, casual, and fast-paced work environment.
- Opportunities for career development and growth.
- Commitment to diversity, equity, and inclusion.
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