Data Scientist (Electromagnetic Environment)
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Data Scientist
shyftlabs· QA
About this role
Role Overview
We're looking for a Data Scientist to help turn our data into actionable insights and intelligent products. You'll work closely with engineering, product, and business teams to design experiments, build predictive models, and translate complex analysis into clear recommendations that drive decisions across the company.
Key Responsibilities
- Design, build, and validate machine learning models to solve business problems such as forecasting, segmentation, and recommendation
- Partner with product and engineering teams to translate business questions into well-scoped analytical problems
- Conduct exploratory data analysis to uncover trends, patterns, and actionable insights in large datasets
- Design and analyze A/B tests and other experiments to evaluate product and business decisions
- Build and maintain data pipelines in collaboration with data engineering for reliable, reproducible analysis
- Communicate findings clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations
- Monitor deployed models for performance and drift, and iterate as needed
- Contribute to best practices around experimentation, model evaluation, and data quality
Requirements
- Python
- Pandas
- NumPy
- Scikit-learn
- SQL
- Statistics & Experiment Design (A/B Testing)
- Machine Learning Model Development
Preferred Skills
- Data Visualization (Matplotlib/Seaborn/Tableau)
- TensorFlow
- PyTorch
- AWS SageMaker
- GCP Vertex AI
- Azure ML
- Model Deployment to Production
- MLOps (experiment tracking, model monitoring)
- Domain Expertise (finance/healthcare/e-commerce)
- Stakeholder Communication
Qualifications
- 3+ years of experience in a data science, applied ML, or quantitative analytics role
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
- Solid grounding in statistics and experiment design, including A/B testing methodology
- Experience building and evaluating machine learning models for real-world problems
- Ability to communicate technical findings clearly to non-technical audiences
- Experience working with large datasets and writing efficient, production-quality analysis code
- Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau, or similar)
Benefits
- Competitive salary and performance-based bonuses
- Flexible working hours and remote/hybrid options
- Health insurance and wellness benefits
- Learning and development budget
- A collaborative environment where your analysis directly shapes decisions
[Company Name] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Frequently Asked Questions
Is the salary disclosed for the Data Scientist position at shyftlabs?
The salary for this Data Scientist role at shyftlabs is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist position at shyftlabs located?
This Data Scientist role at shyftlabs is based in Noida, Uttar Pradesh. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Scientist at shyftlabs belong to?
This Data Scientist position is part of the QA department at shyftlabs. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist position at shyftlabs?
Click the "Apply Now" button on this page. You will be redirected to shyftlabs's official application portal hosted on lever where you can submit your application directly.
When was the Data Scientist job at shyftlabs posted?
This Data Scientist position at shyftlabs was posted on Sep 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
shyftlabs
You'll be redirected to shyftlabs's official application page on Lever.