Data Scientist_Freelancing/Contract

Kairos Technologies Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Kairos Technologies is seeking a Senior Data Scientist to join our remote team from Hyderabad. The ideal candidate will have 8+ years of experience and a deep proficiency in Python, SQL, and statistical analysis.

You will work with leading ML frameworks and Spark/PySpark for large-scale data processing, deploying ML models, and communicating results to stakeholders. The role emphasizes predictive modeling, forecasting, classification, and anomaly detection, with extensive exposure to cloud

Qualifications

• Strong proficiency in Python, SQL, and advanced statistical analysis.
• Hands-on experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, TensorFlow, and PyTorch.
• Expertise in predictive modeling, forecasting, classification, clustering, optimization, and anomaly detection.
• Experience with large-scale data processing using Spark/PySpark.
• Knowledge of MLOps, CI/CD pipelines, model deployment, monitoring, and ML lifecycle management.
• Experience with cloud analytics platforms such as Azure, Databricks, Microsoft Fabric, or AWS.
• Strong understanding of data visualization, storytelling, and stakeholder communication.
• Ability to translate business requirements into scalable analytical solutions.

Responsibilities

• Lead design and development of predictive models and forecasting solutions.
• Build scalable analytics to translate business needs into actionable insights.
• Collaborate with cross-functional teams to deploy ML solutions and monitor performance.

Skills

Python

SQL

Advanced statistical analysis

Data visualization

Stakeholder communication

Requirements translation

Tools

Scikit-learn

XGBoost

LightGBM

TensorFlow

PyTorch

Spark

PySpark

Azure

Databricks

Microsoft Fabric

AWS

Job description

Position: Senior Data Scientist

Experience: 8+ Years

Location: Hyderabad (Remote)

Interview Mode: F2F

Mandatory Skills:

Strong proficiency in Python, SQL, and advanced statistical analysis.

Hands-on experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM,

TensorFlow, and PyTorch.

Expertise in predictive modeling, forecasting, classification, clustering, optimization, and anomaly

detection.

• Experience with large-scale data processing using Spark/PySpark.
• Knowledge of MLOps, CI/CD pipelines, model deployment, monitoring, and ML lifecycle management.
• Experience with cloud analytics platforms such as Azure, Databricks, Microsoft Fabric, or AWS.
• Strong understanding of data visualization, storytelling, and stakeholder communication.
• Ability to translate business requirements into scalable analytical solutions.

Preferred Skills:

• Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, and

Retrieval-Augmented Generation (RAG).

• Experience building AI copilots, conversational AI, and intelligent automation solutions.
• Knowledge of Azure OpenAI, Microsoft Fabric AI capabilities, and Agentic AI frameworks.
• Experience in transportation, logistics, supply chain, asset management, or related domains.
• Familiarity with Responsible AI, AI Governance, and model risk management practices.
• Azure, AWS, Databricks, or AI/ML certifications.
• Strong leadership, mentoring, and cross-functional collaboration skills.

Keywords:

Python, SQL, Machine Learning, Artificial Intelligence (AI), Generative AI, Large Language

Models (LLMs), Predictive Analytics, Forecasting, NLP, Azure OpenAI, Microsoft Fabric, Databricks, Azure

ML, PySpark, MLOps, RAG, Deep Learning