Data Scientist with Finance Domain - US
Data Scientist with Finance Domain - US
Posted on :
17-10-2024
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Job Description
Role: Data Scientist with Finance Domain
Location: Onsite (Whippany NJ)
Duration: 6 Months
Job Description:
Key Responsibilities
- Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets. Extract data into presentable reports charts and graphs. Analyze and interpret data to find outliers understand root cause business impact correlations/discrepancies and propose changes/alternate solutions. Discover patterns/root causes and generate insights to drive product enhancements
- Machine Learning: Develop implement and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing. Create and present proposals and results in an intuitive databacked manner along with actionable insights and recommendations to drive business decisions
- Project Leadership: Lead data science projects from conception to deployment ensuring timely delivery and highquality outcomes.
- Collaboration: Work closely with product managers engineers and other stakeholders to understand business needs and align data solutions accordingly.
- Mentorship: Mentor and guide junior data scientists and analysts fostering a collaborative and growthoriented environment.
- Data Infrastructure: Contribute to the development and maintenance of data pipelines ensuring data accuracy and accessibility.
- Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and nontechnical audiences.
- Qualifications
- Education: Masters or Ph.D. degree in Data Science Computer Science Statistics or a related field.
- Experience: Minimum of 5 years of experience in data science or a related field.
- Expert in AWS AI/ML GenAI tools e.g. SageMaker Bedrock etc.
- Technical Skills: Proficiency in programming languages such as Python R and SQL. Experience with machine learning frameworks (e.g. TensorFlow Scikitlearn) and data visualization tools (e.g. Tableau Power BI).
- Experienced in Identity and Access management data protection data privacy standards
- Experienced in building model/tooling around continuous auditing
- Analytical Skills: Strong analytical and problemsolving skills with a keen attention to detail.
- Communication Skills: Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences.
- Team Player: Ability to work effectively in a team environment and independently.
- Preferred Qualifications
- Experience in the industry relevant to the companys domain (e.g. finance healthcare ecommerce).
- Familiarity with cloud computing platforms (e.g. AWS Google Cloud Azure).
- Experience with big data technologies (e.g. Hadoop Spark).
- Published research or contributions to opensource projects.
Employment Type
Full Time
Key Skills
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