Data Scientist
shyftlabs · Noida · onsite · Posted 20d ago
Undisclosed3–8 yrsfulltimeSourced from
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About this role
Role Overview
Were looking for a Data Scientist to help turn our data into actionable insights and intelligent products. Youll 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityAws Sagemakergoogle cloud platformamazon web servicesdata scientistazure mlAnalyticsExploratory Data AnalysisdeploymentData EngineeringHealthcareData VisualizationMicrosoft AzurefinanceData PipelineData ScienceArtificial IntelligenceForecasting
About shyftlabs
shyftlabs
Analytics & KPO
Hyderabad / Secunderabad, Telangana
India
₹19.7L PA avg
Avg at shyftlabs
About
ShyftLabs develops digital solutions emphasizing a data-centric approach, empowering Fortune 500 companies to make swift, informed decisions to foster growth.
Industries
Analytics & KPO
Employee ratings
10 reviews
2.5/ 5
Culture
1.7
Career growth
2.0
Work-life
2.4
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