Data Scientist

Talantir; Atlanta (GA); Remote; USD 120,000 - 180,000; Full time

Job summary

RDA is seeking a Data Scientist to design and deliver ML solutions for client engagements. You will analyze data, build predictive models, and bring solutions into production with a consulting mindset.

The role balances hands-on development with client collaboration, working across business domains and helping scope opportunities while supporting pre-sales and delivery teams. Remote role open to candidates in Eastern or Central Time Zones; requires strong Python, ML libraries, cloud experience,

Qualifications

• 3-8+ years of hands-on ML experience, including deployment in production.
• Strong Python expertise with common ML libraries.
• Solid foundation in statistical modeling and predictive analytics.
• Hands-on experience with Azure ML Studio and Microsoft Fabric.
• Experience deploying ML solutions in cloud environments across domains.
• Bachelor’s degree or equivalent practical experience.
• Helpful: consulting background; data visualization; LLM/AI agent experience.

Responsibilities

• Analyze client data to identify trends, correlations, anomalies, and predictive opportunities.
• Build, train, evaluate, and deploy machine learning models across a variety of use cases.
• Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance.
• Prepare and process data for modeling, including cleaning, transformation, and feature engineering.
• Integrate ML solutions into client systems in partnership with engineering teams.
• Monitor models for drift, bias, and accuracy over time and adjust as needed.
• Present insights and recommendations to business stakeholders in a clear, compelling way.
• Participate in discovery sessions to understand client objectives and data landscapes.
• Support sales and pre-sales by helping scope machine learning opportunities.
• Collaborate with cross-functional RDA project teams throughout implementation cycles.

Skills

Machine learning

Python

Statistical modeling

Data wrangling

Azure ML Studio

Cloud deployment

Consulting

LLM/AI experience

Education

Bachelor's degree or equivalent

Tools

pandas

NumPy

scikit-learn

TensorFlow

PyTorch

Job description

Data Scientist - Machine Learning & Predictive Analytics

About the Role

RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience. We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact.

In this role, you’ll work closely with clients to explore data, build predictive models, and bring those solutions into production. You’ll operate at the intersection of hands-on development and client collaboration, contributing to both delivery and early-stage solutioning in a consulting environment.

Location

Remote. We’re interested in candidates based in Eastern or Central Time Zones, as collaboration happens primarily during EST hours.

What You’ll Do

• Analyze client data to identify trends, correlations, anomalies, and predictive opportunities
• Build, train, evaluate, and deploy machine learning models across a variety of use cases
• Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance
• Prepare and process data for modeling, including cleaning, transformation, and feature engineering
• Integrate ML solutions into client systems in partnership with engineering teams
• Monitor models for drift, bias, and accuracy over time and adjust as needed
• Present insights and recommendations to business stakeholders in a clear, compelling way
• Participate in discovery sessions to understand client objectives and data landscapes
• Support sales and pre-sales by helping scope machine learning opportunities
• Collaborate with cross-functional RDA project teams throughout implementation cycles

Required Qualifications

• 3-8+ years of hands-on experience in machine learning (including model selection, training, tuning, evaluation, and deployment in production environments)
• Strong Python Expertise with common ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
• Solid foundation in statistical modeling and predictive analytics, including experience with data wrangling and feature engineering
• Hands-on experience with Microsoft Azure ML Studio and Microsoft Fabric
• Experience building and deploying ML solutions in cloud environments and working across diverse business domains
• Bachelor’s degree in a related field or equivalent practical experience
• Helpful skills include consulting background; data visualization experience; and LLM-based or AI agent solution experience

Why Join RDA?

If you enjoy solving open-ended business problems with data and working directly with stakeholders to shape solutions, this role offers the opportunity to make a real impact. You’ll work across a variety of domains, explore new datasets, and bring clarity to complex challenges, applying machine learning in ways that move ideas from concept into production.

No third parties, please. Only U.S. Citizens or U.S. Permanent Residents need apply.