Data Scientist
Role summary
A globally recognized financial institution seeks a Principal Data Scientist to leverage advanced analytical algorithms and technologies like machine learning, deep learning, and AI to extract insights from large datasets. The role involves designing and building data models, developing predictive models, and utilizing big data technology to enhance business decisions and customer experience. Responsibilities include scaling analysis into mature solutions, developing innovative data strategies, and building large-scale data pipelines for reporting, analysis, and machine learning. The position requires an advanced degree in a quantitative field, 5+ years of data science experience, and proficiency with ML/DL models, GenAI, MLOps, cloud platforms (AWS, Azure), and data visualization tools (Power BI).
Principal Data Scientist | Hybrid | $122,400.00 - $228,000.00
This employer is a globally recognized financial institution driven by a purpose to create lasting positive change for its customers, communities, and people. They foster an environment where individuals are valued and empowered to innovate and grow, contributing to economic advancement worldwide.
The Role
• Utilizes advanced analytical algorithms and technologies (e.g., machine learning, deep learning, AI) to extract insights from large datasets.
• Designs and builds new data modeling processes and develops predictive models.
• Leverages big data technology to create solutions that enhance business decisions and customer experience.
• Collaborates with data and analytics professionals to scale analysis into mature analytics solutions.
• Plays an active role in developing innovative data strategies for understanding consumer trends and solving business problems.
• Designs, builds, and maintains large-scale data pipelines for reporting, analysis, and machine learning models.
What You'll Need
• Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.
• 5+ years of data science experience.
• In-depth knowledge of machine learning and deep learning models (e.g., XGboosting, LSTM, LLM).
• Experience with GenAI LLM models, MLOps, and ML frameworks like TensorFlow or PyTorch.
• Proficiency with cloud-based data platforms (AWS, Azure) and data visualization tools (Power BI).
• Strong analytical, problem-solving, and communication skills, with experience managing ambiguity.
What's On Offer
• Competitive salary range of $122,400.00 - $228,000.00.
• Comprehensive total compensation package including performance incentives.
• Robust benefits including health insurance, tuition reimbursement, and retirement savings plans.
• Opportunities for professional growth and development within a supportive environment.
Apply via Haystack today!
Similar roles
Senior Data ScientistAviva Canada · Toronto, Ontario, Canada · Hybrid- Sr. Data ScientistBurtch Works · Reading, Pennsylvania, United States · Onsite
Data ScientistMANTECH · Ashburn, Virginia, United States · Hybrid
Junior Data ScientistApplied Research Associates, Inc · Fort Belvoir, Virginia, United States · Onsite- Data ScientistBrooksource · Houston, Texas, United States · Onsite