TL;DR
Data & Operations Analyst (Data Science/ML): Analyze and solve operational problems using Python, SQL, and AI/ML techniques to support hirify.global's Global Retention Programs. Focus on data wrangling, model development, and delivering actionable insights to influence client retention strategies.
Location: Fort Myers, FL; Irving, TX; or Stamford, CT with a hybrid work format.
Salary: $72,000 - $100,000 USD
Company
hirify.global is a global research and advisory company providing business and technology insights to enterprise leaders worldwide.
What you will do
- Solve operational problems across project lifecycles including data cleaning, exploratory analysis, feature engineering, model development, validation, and operationalization.
- Develop actionable insights to improve client service and retention strategies, presenting findings to cross-functional teams.
- Use Python, SQL, Excel, and AI/ML techniques including natural language processing to analyze business challenges.
- Communicate complex technical solutions effectively to both technical and non-technical stakeholders.
- Collaborate with business, IT, and project management teams to design and deliver impactful solutions.
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field with 4-5 years experience, or Master's degree with 2-3 years experience.
- Proficiency in Python (including Pandas/Polars, NumPy), SQL, and Excel.
- Experience with AI tools and APIs to enhance data workflows.
- Ability to write and maintain production-quality code for data processing and analysis.
- Practical knowledge of statistical principles and ML methods.
- Strong communication skills to convey complex concepts and influence stakeholders.
Culture & Benefits
- Hybrid work environment offering flexibility to work virtually and collaborate in vibrant office communities.
- Competitive compensation with base salary plus annual bonus or sales incentive plans.
- Generous PTO, 401k match up to $7,200 per year, and opportunity to purchase company stock at a discount.
- Inclusive teams with diverse backgrounds and cultures.
- Investment in leadership and professional growth opportunities.
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