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    Job · 15153504

    Owens & Minor logo

    Data Scientist

    Owens & Minor · Pune · onsite · Posted 50d ago

    Undisclosed2–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    We are seeking a highly skilled Data Scientist with a strong background in machine learning, data engineering, and model optimization . The ideal candidate should be proficient in Python, PySpark, and SQL , experienced in time series forecasting, feature engineering, and data model performance evaluation , and capable of working with large-scale data integration projects across various domains.
    A large part of this role involves building machine learning models that not only meet but exceed user expectations , driving measurable value for the business. The candidate will need to have a strong grasp of data model optimization, feature engineering, and model evaluation metrics to ensure high-performance solutions.
    This role also requires experience with cloud platforms, ETL tools, data transformation processes, and working with structured and unstructured data . While not required, familiarity with object-oriented programming languages (C#, Java, JavaScript) is a plus. Strong communication skills are essential for collaborating with cross functional teams and presenting findings effectively.


    Key Responsibilities
    • Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics.
    • Perform feature engineering and data model optimization to enhance model accuracy and efficiency.
    • Continuously evaluate model performance using metrics such as MAPE, RMSE, R , and adjust strategies accordingly.
    • Build and implement data pipelines using PySpark, SQL, and cloud-based solutions for seamless data integration.
    • Work on large-scale data integration projects , leveraging tools such as Boomi, SnapLogic, SSIS, or Palantir to extract, transform, and load data.
    • Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation .
    • Design and maintain data warehouse solutions to support advanced analytics and business intelligence.
    • Perform complex data transformations using SQL queries and data objects to support AI/ML-driven initiatives.
    • Collaborate closely with business stakeholders to ensure models align with user expectations and business objectives .
    • Deploy, monitor, and continuously improve machine learning models in production environments.
    • Communicate technical findings and insights effectively to both technical and non-technical audiences.


    Required Skills & Qualifications
    • Proficiency in Python, PySpark, and SQL for data analysis, feature engineering, and model development.
    • Expertise in time series forecasting models , including ARIMA, Prophet, LSTMs, and ML-based approaches.
    • Strong experience in data model optimization, feature engineering, and performance evaluation .
    • Deep understanding of ML model evaluation metrics and best practices in improving model accuracy.
    • Hands-on experience in data engineering , working on data pipelines, ETL, and data transformation projects .
    • Experience using Boomi, SnapLogic, SSIS, or Palantir for data integration.
    • Proficiency in cloud computing , particularly Google Cloud (BigQuery, Vertex AI, Cloud Functions, etc.) .
    • Experience with Palantir Foundry for data processing, analysis, and visualization .
    • Ability to optimize and query large-scale datasets using data lakes and relational databases.
    • Familiarity with AutoAI for automated model selection and hyperparameter tuning .
    • Experience with Google Colab for collaborative machine learning development.
    • Excellent problem-solving and communication skills , with the ability to convey complex concepts to business stakeholders.


    Preferred Qualifications
    • Experience with MLOps for continuous deployment, monitoring, and retraining of ML models.
    • Knowledge of business intelligence and reporting tools for data visualization.
    • Background in supply chain, logistics, or operational forecasting .
    • Experience in both batch and real-time data processing architectures .
    • Ability to optimize SQL queries and data transformations for performance improvements.
    • Familiarity with object-oriented programming languages such as C#, Java, or JavaScript (not required but beneficial).


    Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationBoomiCloud Computingcloud platformsbigqueryAnalyticsARIMAGoogle Cloud FunctionsData EngineeringcloudCommunication SkillsData IntegrationAdvanced Analyticsdata analysisBusiness IntelligenceCi/CdArtificial Intelligence

    About Owens & Minor

    Owens & Minor logo

    Owens & Minor

    Healthcare

    158

    employees

    1882

    144 years old

    Mechanicsville, Virginia,

    United States

    ₹15.4L PA avg

    Avg at Owens & Minor

    About

    Owens & Minor, Inc. (NYSE: OMI) is a Fortune 500 global healthcare solutions company integrating product manufacturing and delivery, home health supply, and perioperative services to support care through the hospital and into the home. Owens & Minor drives visibility, control and efficiency for patients, providers and healthcare professionals across the supply chain with proprietary technology and solutions, an extensive product portfolio, an Americas-based manufacturing footprint for personal protective equipment (PPE) and surgical products, as well as a robust portfolio of products and services for patients managing chronic and acute conditions in the home setting. Operating continuously since 1882 from its headquarters in Richmond, Va., Owens & Minor is a 140-year-old company powered by more than 20,000 global teammates.

    Industries

    Healthcare

    Employee ratings

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    3.2/ 5

    Culture

    3.5

    Career growth

    2.8

    Work-life

    3.0

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