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2 Days ago

Data Scientist (Immediate Joiner)

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Pune, Maharashtra, India
Information Technology
Other
Infilon Technologies

Overview

3+ Years
3 Vacancy

    Infilon Technologies, a prominent software development company based in Ahmedabad, is hiring a Data Scientist (Immediate Joiner) with expertise in ETL, data management, and advanced analytics. The role requires hands-on experience with ClickHouse, strong knowledge of similarity algorithms, and the ability to build scalable data pipelines in collaboration with product, engineering, and analytics teams.

    Job Location : Ahmedabad, Gujarat (Work from Office)

Key Responsibilities

    Design, build, and maintain ETL pipelines for large-scale structured and unstructured data.

    Work with ClickHouse for fast, reliable querying, aggregation, and performance optimization.

    Develop and apply similarity algorithms (cosine similarity, nearest neighbours, vector embeddings) for search, recommendation, and matching use cases.

    Conduct data cleaning, preprocessing, and analysis to support business and product needs.

    Collaborate with cross-functional teams to drive data-informed decision-making.

    Contribute to building, testing, and deploying predictive models.

Required Skills & Experience

    3+ years of professional experience in data science, analytics, or data engineering.

    Proven experience with ETL pipelines and data transformation frameworks.

    Proficiency in SQL and experience with ClickHouse (or similar analytical databases).

    Strong understanding of similarity algorithms and their applications.

    Hands-on expertise in Python with libraries such as Pandas, NumPy, and Scikit-learn.

    Analytical problem-solving mindset and strong logical reasoning abilities.

    Ability to communicate complex insights clearly with both technical and non-technical stakeholders.

Good to Have

    Experience in machine learning workflows and model deployment.

    Knowledge of cloud platforms (AWS, GCP, Azure) and big data tools.

    Familiarity with large-scale, distributed data systems.

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