2 дня назад
Data Scientist Lead (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Lead (Fintech): Designing, deploying, and monitoring advanced analytics, machine learning, and AI solutions for risk, fraud, marketing, and portfolio management with an accent on predictive modeling, NLP, experimentation, and MLOps. Focus on building production-ready models, establishing model governance practices, and translating complex financial-services data into actionable product recommendations.
Location: US GA ATL 201 STE 900
Company
provides technology and financial services solutions, with a focus on shaping the future of fintech.
What you will do
- Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions.
- Analyze and prepare data from standard and novel sources for end-to-end analytical solutions.
- Apply predictive analytics, natural language processing, Generative AI, and Agentic AI to problems across payments and financial services.
- Design experiments, hypothesis-testing frameworks, and statistical analyses for business and product decisions.
- Establish best practices in data science, feature engineering, experimentation, model governance, and MLOps.
- Present analytical findings through executive presentations, dashboards, visualizations, and self-service analytics tools.
Requirements
- Master’s degree or higher in mathematics, computer science, engineering, operations research, statistics, or a related quantitative discipline.
- 5+ years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions.
- Strong proficiency in Python and SQL.
- Experience with data wrangling, feature engineering, model development, and production or near-production machine learning deployments.
- Proficiency with data visualization and business intelligence tools such as Tableau or equivalent.
- Ability to translate ambiguous business problems into analytical frameworks and collaborate across product, engineering, and business teams.
Nice to have
- Experience in payments, banking, or financial services.
- Experience with Spark, PySpark, Databricks, MLflow, Model Registry, collaborative notebooks, and MLOps workflows.
- Experience deploying cloud-native machine learning solutions in AWS environments.
- Familiarity with Transformer Models, Agentic AI, model governance, and regulatory compliance in financial services.
Culture & Benefits
- Competitive salary and benefits.
- Continuous learning and development opportunities.
- Collaborative work environment.
- Opportunities to contribute to the future of fintech and give back.
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