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Salary
$21k – $31k per year (gross)
Location
Hybrid (Mumbai, India)
Seniority
Junior · 3+ years exp

First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
HiringBlaze is a recruitment firm in India that sources technology candidates for client companies and advertises their openings on job boards such as hirist. Its postings describe unnamed clients, among them a US enterprise software firm with a development centre in Noida, a supply chain and fintech SaaS company and a long-established medical devices maker in Agra, with roles in Gurgaon, Hyderabad, Bengaluru, Mumbai, Chennai and Pune. It recruits data engineers, database administrators, backend, Java and full stack developers, DevOps engineers, test automation engineers, data scientists, AI engineers and solution architects.

Role Overview :

As an Associate Data Scientist based in Mumbai, you will sit at the intersection of complex data architecture and strategic business decision-making. In this role, you will spend your days architecting predictive models, mining large-scale datasets for actionable insights, and translating technical findings into compelling narratives for senior stakeholders. You will collaborate closely with cross-functional product and engineering teams to integrate machine learning solutions directly into the customer journey. By bridging the gap between raw data and business strategy, you will play a pivotal role in optimizing operational efficiency and driving measurable growth for our core product offerings.

Key Responsibilities :

- Develop and deploy robust machine learning models to solve high-impact business problems, ensuring that predictive accuracy directly translates into improved customer experiences.

- Execute end-to-end data pipelines by leveraging SQL and Python to extract, clean, and transform disparate data sources into structured formats ready for advanced modeling.

- Translate complex analytical findings into intuitive data visualizations using Tableau to empower leadership teams to make data-driven decisions with confidence.

- Conduct rigorous statistical analysis to validate hypotheses, ensuring that all data-driven initiatives are grounded in sound mathematical principles and business logic.

- Collaborate with engineering teams to scale prototype models into production-ready environments, ensuring high performance and reliability across our big data infrastructure.

Required Skillset :

- Demonstrate advanced proficiency in Python and R for statistical modeling, alongside a deep understanding of Scikit-Learn and Pandas for efficient data manipulation and feature engineering.

- Exhibit a strong command of Deep Learning frameworks and data modeling techniques to address non-linear business challenges and complex pattern recognition.

- Possess the ability to communicate technical concepts to non-technical stakeholders, ensuring that data insights are actionable and aligned with organizational goals.

- Maintain a proactive approach to problem-solving, with the adaptability to thrive in a fast-paced, hybrid work environment in Mumbai.

- Hold a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics, supported by 3 - 6 years of professional experience in data-intensive roles.

Skills

Data Science, Python, SQL, Machine Learning, R, Scikit-Learn, Pandas, Data Scientist, Artificial Intelligence

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