Data Scientist - Machine Learning/Predictive
- Hinduja Global
- 3 to 7 Yrs
- Indore
- 2 months ago
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Job Description
- Job Title : Data Scientist (Advanced Statistics & Machine Learning) About HGS Digital At HGS Digital, our vision is to be the globally preferred digital transformation partner for our clients, creating value in their businesses through rigorous innovation at scale. We are a team of 500+ experts in strategic thinking, digital marketing, creative design, data analytics, software engineering, and process optimization, delivering transformative digital solutions. Job Summary This role is focused on leveraging traditional machine learning techniques, advanced statistical methods, and domain-specific expertise to solve business problems. The Data Scientist will design predictive models, statistical frameworks, and actionable insights for business decision-making, with a strong emphasis on classical approaches in analytics. Roles & Responsibilities Business Collaboration & Analytics Design : Partner with clients and internal teams to define and implement analytics solutions grounded in traditional ML and statistical approaches. Data Preparation : Oversee data extraction, cleaning, integration, and transformation to ensure high-quality datasets for modeling. Model Development : Build and deploy statistical and machine learning models (e.g., regression, classification, clustering, and time-series forecasting) using tools like Python to address well-defined business problems. Stakeholder Communication : Present findings and actionable insights clearly and effectively to stakeholders using data-driven narratives and structured reporting. Documentation : Maintain detailed and organized project documentation for all analytics initiatives. Key Qualifications & Skills Education : Bachelor's or masters degree in mathematics, Statistics, Computer Science, Data Science, or a related field. Experience 3-5 years of hands-on experience in advanced statistics and machine learning using non-generative techniques. Proven expertise in statistical modeling, machine learning, and data-driven decision-making in industries like pharmaceuticals, telecom, or retail. Technical Skills Proficiency in Python, R, and SQL, for model building and statistical analysis. Experience with classical ML algorithms such as regression models, tree-based models, clustering, and PCA. Working knowledge of cloud platforms (AWS, Azure, or GCP) is preferred. Exposure to visualization tools (e.g., Tableau, Power BI) is good to have. Other Skills Strong quantitative and analytical abilities. Excellent communication skills for translating data insights into actionable business recommendations. Knowledge of MLOps pipelines and best practices is a plus. Preferred Qualifications Familiarity with advanced statistical concepts such as geostatistics, pattern recognition, and time series analysis. Exposure to multi-domain analytics, including customer, fraud, or social media analytics. Experience with APIs and data integration for model consumption. (ref:hirist.tech),
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Scientist - Machine Learning/Predictive
Contact Details:
Company: Hinduja GlobalLocation(s): Indore
Keyskills: Python R SQL Machine Learning Statistical Modeling Regression Models Clustering PCA AWS Azure GCP Tableau Power BI
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