Senior Data Scientist

    Website Siemens

    Job Title: Senior Data Scientist

    Job ID: 383096

    Company: Siemens Technology and Services Private Limited

    Organization: Global Business Services

    Job Family: Information Technology

    Experience Level: Experienced Professional

    Full Time / Part Time: Full-time

    Remote vs Office: Office/Site only

    Contract Type: Permanent

    Job Description

    Hello Talented Techie!

    We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.
    We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective implementations around the globe.

    We are looking for Sr Data Scientist

    • Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
    • Work with large, complex data sets and applying advanced analytical methods as needed
    • Develop deployable machine learning solutions that address the real root cause
    • Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
    • Be the partner of choice regarding technology advisory for advanced analytics
    • Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies.

    You’d describe yourself as:

    • Knowledge in advanced data analytics/data science
    • Have five years of relevant experience with data science/optimization/statistical models
    • Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field
    • Understand the mathematics/optimization behind machine learning algorithms
    • Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-art models, as well as validating the model results against the stated business objectives
    • Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments
    • Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT
    • Experience with cloud technologies: AWS Sagemaker, Lambda etc.
    • Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-art algorithmic approaches in real world business applications
    • Outstanding analytical and conceptual skills and an entrepreneurial mindset
    • Experience on collecting business requirements and traduce it into solution designs
    • Very good communication and presentation skills

    Ready to unlock the full potential of technology? Join us!

    This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

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