Data ScienceRole Overview
We are looking for an experienced Data Scientist with strong expertise in Data Science, Machine Learning, statistical modeling, and data analytics. The ideal candidate will be responsible for developing predictive models, identifying meaningful patterns and correlations in data, and translating complex datasets into actionable business insights.
This role requires strong hands-on experience across the data science lifecycle, including data exploration, feature engineering, statistical analysis, model development, validation, and deployment. Experience with data modeling and Azure-based data/ML engineering will be an added advantage.
Key Responsibilities
- Develop and implement machine learning and statistical models for predictive and analytical use cases.
- Perform exploratory data analysis to identify trends, patterns, correlations, and business opportunities.
- Apply statistical and algorithmic techniques to solve complex business problems.
- Build, evaluate, optimize, and validate predictive models.
- Work with large and complex datasets, including data preparation, feature engineering, and transformation.
- Develop robust data models to support analytics and machine learning use cases.
- Translate business requirements into data science solutions and communicate insights effectively to stakeholders.
- Collaborate with data engineers, analysts, and business teams to productionize data science solutions.
- Ensure models and analytical solutions are scalable, reliable, and aligned with business objectives.
- Contribute to the evaluation and adoption of appropriate ML, analytics, and cloud technologies.
Required Skills & Experience
- 7–11 years of hands-on experience in Data Science / Machine Learning.
- Strong expertise in statistical analysis, predictive modeling, and algorithm development.
- Strong understanding of machine learning concepts and techniques.
- Hands-on experience with data modeling and advanced analytics.
- Strong programming skills in Python and experience with relevant data science/ML libraries.
- Experience working with large datasets using SQL.
- Strong understanding of data preparation, feature engineering, model evaluation, and validation.
- Ability to independently translate business problems into data-driven solutions.
- Strong analytical and problem-solving skills.
Good to Have
- Experience with Microsoft Azure and Azure-based data/ML services.
- Experience designing or implementing data science solutions in cloud environments.
- Exposure to ML model deployment and MLOps practices.
- Experience working with modern data platforms and data engineering pipelines.
- Experience in a client-facing or consulting environment.
What We’re Looking For
A hands-on Data Scientist who can go beyond building models and contribute across data, statistics, algorithms, modeling, analytics, and predictive problem-solving. The candidate should be comfortable working with cross-functional teams and translating complex analytical findings into practical business outcomes.
Specialist capability: We currently need stronger coverage across Data Science/ML, Data Modeling, statistical/algorithm expertise, analytics and potentially Azure engineering to credibly deliver the predictive/correlation aspects discussed.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon