Data Scientist

Flexdaysolutions; Sacramento (CA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Flexdaysolutions is seeking a Data Scientist to analyze complex datasets, develop ML models, and generate actionable insights that drive business decisions. Candidates should excel in statistics, ML, data analysis, and programming, with the ability to translate problems into data-driven solutions.

The role emphasizes end-to-end ownership from research to deployment, collaboration with AI/ML engineers, cloud teams, and product teams, and staying current with AI advancements such as LLMs and

Qualifications

• PhD or equivalent research-focused background preferred.
• 2+ years of experience in Data Science, ML, or Applied AI.
• Strong analytical and statistical modeling skills.

Responsibilities

• Partner with stakeholders to translate business problems into AI/ML solutions.
• Design, build, and optimize ML and DL models for enterprise-scale apps.
• Work on NLP, predictive analytics, recommendations, time-series forecasting, and generative AI.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

NLP

Time Series

Data Analysis

Statistics

Large Language Models

Education

PhD in CS/AI/ML

Tools

Docker

CI/CD

AWS

Azure

GCP

Job description

We are looking for a Data Scientist to analyze complex datasets, develop machine learning models, and generate actionable insights that support business and product decisions.

Location: Preferable if the candidate is in Sacramento / Atlanta / Denver ( US Citizens/ Green Card Holders only)

About the Role:

We are looking for a Data Scientist to analyze complex datasets, develop machine learning models, and generate actionable insights that support business and product decisions. The ideal candidate will have strong expertise in statistics, machine learning, data analysis, and programming, with the ability to translate business problems into data-driven solutions

Key Responsibilities

• Partner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions
• Design, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications
• Work on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI
• Analyze structured and unstructured datasets to generate actionable business insights
• Develop scalable data pipelines, model training workflows, and experimentation frameworks
• Build and evaluate AI models using modern ML frameworks and cloud platforms
• Take end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring
• Stay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research
• Collaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions
• Contribute to research initiatives, whitepapers, patents, or publications where applicable

Technical Skills

• Strong programming expertise in Python
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks
• Strong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining
• Experience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus
• Experience with SQL, data processing, and large-scale datasets
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred
• Strong analytical thinking, experimentation mindset, and problem-solving capabilities

Required Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred
• Candidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued
• 2+ years of relevant experience in Data Science, Machine Learning, or Applied AI