Experienced Data Scientist Jobs in Point72 Careers Stamford, NY

You will play a crucial role on our Data Analytics team, focusing generating and automating metrics. You will work closely with cross-functional teams to source data, produce actionable insights, and create visualizations that help drive business decisions. This role requires a blend of technical prowess and strong analytical skills, along with the ability to work independently and proactively. Specifically, you will:

Responsibilities:

• Develop and automate key metrics to support business objectives and decision-making processes
• Source, clean, and integrate data from various internal and external sources
• Perform data analysis using statistical and machine learning techniques to uncover insights and trends
• Create and maintain dashboards and visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand their data needs and provide analytical support
• Write and maintain efficient, reusable, and reliable code in R and Python
• Document processes, methodologies, and code to ensure reproducibility and knowledge sharing
• Stay up to date with the latest trends and technologies in data science and analytics

Qualifications:

• Bachelor’s or master’s degree in data science, computer science, statistics, mathematics, or a related field.
• Minimum of 5 years of experience in a data science role or a similar position
• Proven track record of driving metrics generation and automation in a business environment
• Proficiency in R and Python for data analysis, statistical modeling, and machine learning
• Strong experience with data manipulation and analysis using libraries such as pandas, numpy, etc.
• Expertise in data visualization tools and libraries such as Tableau, Power BI, matplotlib, and seaborn
• Experience with SQL for data extraction and manipulation
• Familiarity with version control systems like GitHub
• Understanding of data warehousing concepts and experience with databases (e.g., MySQL, PostgreSQL)
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal, with the ability to convey complex data insights to non-technical stakeholders
• Ability to source data effectively and produce actionable insights
• Commitment to the highest ethical standards