Senior Data Scientist

Sapphire Software Solutions Inc; India; Remote; INR 1,000,000 - 1,500,000; Full time

Job summary

A tech solutions company is looking for a mid-senior Data Scientist to work 100% remotely. You will design and deploy machine learning models, perform time series analysis, and collaborate with engineers. The ideal candidate has over 5 years of experience and proficiency in Python, SQL, and Azure Databricks. This contract position offers flexibility and the chance to make impactful data-driven decisions.

Qualifications

• At least 5+ years of experience in Data Science or Machine Learning.
• Proven track record of deploying machine learning models in production.
• Strong expertise in advanced analytics and programming.

Responsibilities

• Design, develop, and deploy scalable machine learning models.
• Perform advanced time series analysis for decision support.
• Collaborate with engineers to integrate models into production systems.

Skills

Python

SQL

PySpark

Time series analysis

Machine learning

Azure Databricks

Job description

Job title

Data Scientist

Location

100% Remote

Working hours

1PM to 10 PM IST

Overview

We are seeking a highly skilled and motivated Data Science / Machine Learning Engineer to join our team. The ideal candidate will have strong expertise in Python, SQL, PySpark, and time series analysis/forecasting, with a proven track record of deploying machine learning models into production environments. Experience with Azure Databricks is highly valued and will be considered a strong asset.

At least 5+ years of experience required

Key Responsibilities

• Design, develop, and deploy scalable machine learning models for forecasting and predictive analytics.
• Perform advanced time series analysis to support business decision-making and operational efficiency.
• Write clean, efficient, and well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet.
• Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Monitor model performance and implement retraining pipelines to ensure accuracy and relevance over time.
• Work within Azure Databricks to build, test, and deploy models in a distributed computing environment.
• Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
• Stay current with the latest developments in machine learning, data science, and cloud technologies.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

India