Data Science & Machine Learning Lead
- Aveva
- 8 - 12 years
- Hyderabad
- 2 days ago
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Job Description
We are seeking a Lead Data Scientist to drive end-to-end model development initiatives. This role will be responsible for translating business problems into scalable machine learning solutions, leading model design and validation, and ensuring measurable business impact through data-driven insights.
The ideal candidate combines strong statistical and machine learning expertise with hands-on Python experience and leadership capability.
Key Responsibilities
- Lead data exploration, data quality assessment, data patterns and identification of data gaps; coordinate with data engineering to enable reliable datasets.
- Drive the complete ML lifecycle from data exploration and feature engineering to model development and validation.
- Design and develop feature engineering pipelines and select appropriate ML approaches (baseline advanced).
- Build, train, and optimize models using Python or Data bricks or Azure services or any other tools
- Develop classification, regression, clustering, and forecasting models using appropriate algorithms and tuning techniques.
- Select appropriate algorithms based on problem context.
- Establish robust evaluation: validation strategy, metrics, error analysis, bias checks, and model explainability
- Identify new AI opportunities, contribute to roadmap planning, and promote data-driven decision-making.
Desired skills
- 8-12+ years in Data Science / Machine Learning.
- Strong expertise in Python.
- Experience with deep learning frameworks preferred.
- Strong foundation in statistics, probability, and mathematics.
- Exposure to cloud platforms (AWS, Azure, GCP) is desirable.
- Ability to interpret complex data and communicate insights clearly.
- Experience with supervised learning (classification/regression) and unsupervised learning (clustering).
- Time series/NLP/deep learning (as relevant to role)
- Experience with tools like Data Bricks or similar is desirable.
- Experience in industry like Oil Gas, Utilities, Water, Data Center or CPG.
- Experience in developing forecasting, prediction, prescription or anomaly detection models for above industries.
- Strong communication: translate security risk into engineering actions and business impact.
- Ability to drive adoption without blocking deliverypragmatic and risk-based.
- Leadership, mentoring, and cross-functional influence.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: AvevaLocation(s): Hyderabad
Keyskills: data science python forecasting ai gratuity machine learning data engineering deep learning data quality nlp gcp regression feature engineering data scientist clustering https aws azure
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