Data Scientist

• Job Title: Data Scientist
• Location: New York, United States
• Type: Full Time

Our Client is Looking a collaborative and innovative Data Scientist to join a high-performing enterprise analytics team focused on building next-generation data and machine learning solutions. This role offers the opportunity to work on complex business challenges, leveraging advanced analytics, cloud technologies, and AI/ML techniques to deliver meaningful customer and business impact.

Key Responsibilities:

• Partner with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to develop impactful analytical solutions
• Build and deploy machine learning models through the full lifecycle, including design, training, validation, testing, and implementation
• Analyze large-scale structured and unstructured datasets to uncover insights and drive business decisions
• Utilize modern technologies and cloud-based platforms to develop scalable analytics solutions
• Translate complex technical findings into actionable business recommendations and clear stakeholder communications
• Research and apply emerging technologies, analytical methods, and machine learning techniques to solve evolving business problems
• Collaborate across enterprise functions including underwriting, risk, compliance, data, and technology teams
• What We’re Looking For:
• Strong analytical and problem-solving mindset with a passion for innovation
• Experience building, validating, and deploying machine learning models
• Deep understanding of statistical analysis, predictive modeling, and data interpretation
• Strong technical skills across open-source programming languages and cloud platforms
• Ability to work with large, diverse datasets and uncover meaningful insights
• Excellent communication and collaboration skills with the ability to influence stakeholders
• Ideal Candidate Attributes:
• Customer-focused and driven by impactful outcomes
• Comfortable working in dynamic, fast-paced environments with ambiguous challenges
• Curious, creative thinker who enjoys solving complex business problems
• Passionate about continuous learning and emerging AI/ML technologies
• Collaborative team player who values inclusive and innovative work cultures

Qualifications:

• Basic Requirements:
• Bachelor’s, Master’s, or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Analytics, or related discipline
• Relevant experience in data analytics or data science based on degree level

Preferred Qualifications:

• Advanced degree in a STEM-related field
• Experience with cloud platforms such as AWS
• Proficiency in Python, Scala, or R
• Strong experience in machine learning and statistical modeling
• Hands-on experience with SQL and large-scale data analysis