Data Scientist - Machine Learning & Python

Overview

As a Data Science Analyst, you will support the development and delivery of advanced analytics and machine learning solutions that drive business insights and decision‑making. You will analyze large structured and unstructured datasets, develop predictive and prescriptive models, and collaborate with business, technology, and risk partners to translate requirements into analytical solutions. This role involves contributing throughout the machine‑learning lifecycle, including model development, testing, deployment, monitoring, and performance evaluation.

Responsibilities

• Analyze large structured and unstructured datasets to identify trends, patterns, and business insights.
• Perform data cleansing, transformation, and feature engineering to support model development.
• Develop, test, and maintain predictive and prescriptive models using statistical and machine‑learning techniques.
• Support the deployment of analytical solutions into production environments in partnership with technology teams.
• Contribute to implementation of machine‑learning lifecycle processes, including development, testing, training, monitoring, and performance evaluation.
• Collaborate with business, technology, and risk partners to understand requirements and translate them into analytical solutions.
• Document methodologies, assumptions, and model results to support governance and review processes.
• Present analytical findings and project updates to team members and stakeholders.
• Continuously learning and applying emerging techniques in machine learning, deep learning, large‑language models, and generative AI.

Required Education

• Bachelor’s degree/University degree or equivalent experience in a STEM‑related field.
• Bachelor’s degree or master’s degree in computer science, data science, statistics, mathematics, engineering, or a related quantitative field.

Preferred Education

• Advanced degree preferred.

Required Qualifications / Skills / Experience

• 5+ years of experience in data science, machine learning, advanced analytics, or a related field.
• Experience developing and evaluating machine learning models.
• Working knowledge of machine learning (ML) and deep learning (DL) techniques and model development processes.
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar analytical and model‑building tools.
• Familiarity with large‑language models (LLMs) and generative AI (GenAI) technologies.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work independently while collaborating effectively within cross‑functional teams.

Preferred Qualifications / Skills / Experience

• Experience supporting ML, AI, or GenAI initiatives in a production environment.
• Familiarity with distributed data and computing platforms such as Hadoop, Hive, Spark, or cloud‑based analytics platforms.
• Exposure to banking, retail risk management, or financial services.
• Basic understanding of capital markets, financial instruments, and quantitative modeling concepts.

Eligibility Requirements

• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.

Benefits

Benefits and compensation details are available upon request.

California Pay Equity

For information and details on pay equity laws in California, reliable sources are available upon request.

Equal Opportunity Employer

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

Assistance for Applicants with Disabilities

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

C2C is not available

E‑Verify

Rose International has an official agreement (ID # ), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E‑Verify).

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