Job Description

RRS Group is seeking a motivated and analytical Associate Data Scientist to join our team as part of the 2026 New College Graduate hiring program. This role is ideal for candidates with a strong foundation in data analysis machine learning statistical modeling and Generative AI applications. The Associate Data Scientist will work closely with cross-functional teams to analyze large datasets develop predictive models generate actionable insights and support data-driven business decisions.

The ideal candidate demonstrates technical proficiency in SQL and Python hands-on experience with machine learning and analytics tools and familiarity with modern AI-assisted workflows and responsible AI practices.

Key Responsibilities

• Extract transform aggregate and analyze large and complex datasets using SQL Python R Spark and related technologies.
• Perform exploratory data analysis (EDA) feature engineering and data validation to support analytics and modeling initiatives.
• Develop evaluate and maintain descriptive and predictive machine learning models using tools such as scikit-learn Jupyter Notebooks Python R and/or SAS.
• Apply statistical modeling and data mining techniques including regression classification clustering decision trees and related methodologies.
• Utilize Generative AI and AI-assisted tools including LLMs coding assistants and AutoML platforms to improve analytical workflows and insight generation.
• Apply Generative AI techniques such as prompt engineering text summarization classification and LLM-assisted analysis in business or research applications.
• Collaborate with stakeholders to translate business problems into analytical solutions and communicate findings effectively.
• Build and maintain business intelligence solutions and dashboards using Tableau Power BI or similar visualization platforms.
• Define metrics validate data quality and support semantic layer development to ensure accurate reporting and business insights.
• Follow responsible AI principles including awareness of data privacy bias mitigation ethical AI usage and model limitations.

Qualifications :

Required Qualifications

• Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics Engineering Economics or a related quantitative field with graduation expected in 2026.
• Minimum of 2 years of experience in data analysis quantitative modeling or data-driven decision-making through academic internship research or professional experience.
• Proficiency in SQL and Python for data analysis visualization and modeling.
• Experience working with large datasets and distributed data processing tools such as Spark.
• Strong understanding of statistics and machine learning fundamentals including model evaluation techniques.
• Hands-on experience with machine learning libraries and tools such as scikit-learn Jupyter Notebooks Python R and/or SAS.
• Exposure to Generative AI technologies and AI-assisted analytical workflows.
• Familiarity with business intelligence and visualization tools such as Tableau or Power BI.
• Strong analytical thinking problem-solving and communication skills.

Preferred Qualifications

• Experience with cloud-based analytics or machine learning platforms.
• Coursework or project experience involving NLP LLMs or AI-driven analytics.
• Knowledge of responsible AI practices governance and ethical AI considerations.
• Experience developing dashboards KPI reporting systems or executive-level business insights.

Technical Skills

• Programming Languages: Python SQL R SAS
• Data & ML Tools: scikit-learn Spark Jupyter Notebooks
• Visualization Tools: Tableau Power BI
• AI/GenAI Tools: LLMs AutoML coding assistants
• Statistical Techniques: Regression classification clustering decision trees predictive modeling

Preferred Competencies

• Strong attention to detail and data quality
• Ability to manage multiple projects in a fast-paced environment
• Effective collaboration and communication skills
• Curiosity for emerging AI and data science technologies
• Commitment to ethical and responsible AI practices

Additional Information :

What can you expect from us:

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self-learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• We love to celebrate success which is why we have recognition programs for seniority behavior leadership moments of life among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life adapting your working day to your lifestyle.
• And because your family is also important to us they can also enjoy benefits such as our WellnessLine thousands of Agreements and Discounts Scholarship programs for your children Aid Plans for different moments of life among others.

Work Hours:  Varies upon the needs of the global department.

RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

RRS Group will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

#TransformingSpacesBuildingFutures

#Remote

Remote Work :

Yes

Employment Type :

Full-time

Job Tags

Similar Jobs