DeepRec.ai
Overview
Our client, a leading financial institution, is looking for a
Manager, Data Science
to join their team. This is an exciting opportunity to work with a
high-impact data team
that leverages
AI, machine learning, and advanced analytics
to drive strategic business decisions. What You’ll Do
Work with cross-functional teams to identify data-driven opportunities for growth. Mine, reconcile, and analyze
large datasets
to optimize products and marketing strategies. Build and implement
predictive models
to enhance customer experience and revenue generation. Develop
custom data models & algorithms
using Python, SQL, and cloud-based technologies. Apply
machine learning techniques
(clustering, decision trees, neural networks, NLP, etc.). Strong problem-solving skills and passion for product development. Proficiency in
Python, SQL, and cloud-based ML platforms
(Snowflake, AWS SageMaker, Azure AI). Experience in
machine learning, predictive modeling, and statistical techniques . Financial services experience preferred. Advanced degree (Statistics, Mathematics, Computer Science) preferred. Interested? Apply now or DM us to learn more! Qualifications
Experience in data science, machine learning, and statistical techniques. Strong programming skills in Python and SQL. Experience with cloud-based ML platforms (e.g., Snowflake, AWS SageMaker, Azure AI). Ability to translate business problems into data-driven solutions. Excellent communication and collaboration skills. Additional Details
Seniority level:
Associate Employment type:
Full-time Job function: Information Technology and Research Industries: Banking and Financial Services Locations: Stamford, CT
#J-18808-Ljbffr
Our client, a leading financial institution, is looking for a
Manager, Data Science
to join their team. This is an exciting opportunity to work with a
high-impact data team
that leverages
AI, machine learning, and advanced analytics
to drive strategic business decisions. What You’ll Do
Work with cross-functional teams to identify data-driven opportunities for growth. Mine, reconcile, and analyze
large datasets
to optimize products and marketing strategies. Build and implement
predictive models
to enhance customer experience and revenue generation. Develop
custom data models & algorithms
using Python, SQL, and cloud-based technologies. Apply
machine learning techniques
(clustering, decision trees, neural networks, NLP, etc.). Strong problem-solving skills and passion for product development. Proficiency in
Python, SQL, and cloud-based ML platforms
(Snowflake, AWS SageMaker, Azure AI). Experience in
machine learning, predictive modeling, and statistical techniques . Financial services experience preferred. Advanced degree (Statistics, Mathematics, Computer Science) preferred. Interested? Apply now or DM us to learn more! Qualifications
Experience in data science, machine learning, and statistical techniques. Strong programming skills in Python and SQL. Experience with cloud-based ML platforms (e.g., Snowflake, AWS SageMaker, Azure AI). Ability to translate business problems into data-driven solutions. Excellent communication and collaboration skills. Additional Details
Seniority level:
Associate Employment type:
Full-time Job function: Information Technology and Research Industries: Banking and Financial Services Locations: Stamford, CT
#J-18808-Ljbffr