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    Senior Data Scientist - Hyderabad, India - Launch India

    Launch India
    Launch India Hyderabad, India

    4 days ago

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    Description

    Senior Data Scientist

    Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch.

    Job Summary

    We are looking for a senior data scientist with 6+ years of experience in data analysis, machine learning, deep learning, natural language processing, computer vision, and generative AI. You will be responsible for leading and executing data-driven projects that deliver value to our customers and partners. You will also be expected to collaborate with other data scientists, engineers, and product managers to design, develop, and deploy end-to-end solutions that leverage cutting-edge technologies and methodologies.

    Responsibilities

    • Conduct data exploration, preprocessing, feature engineering, and model selection using Python or R, SQL, DAX, and other tools
    • Build and deploy machine learning, deep learning, NLP, computer vision, and generative AI models using frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, NLTK, OpenCV, GPT-3, etc.
    • Optimize and scale data pipelines, models, and algorithms using cloud platforms and services such as Azure, AWS, or GCP
    • Communicate and visualize data insights and recommendations to technical and non-technical audiences
    • Stay abreast of the latest developments and trends in data science and AI
    • Work as an individual contributor or a team player depending on the project scope and size

    Requirements

    • Bachelor's or master's degree in computer science, statistics, mathematics, engineering, or related field
    • 6+ years of experience in data science, machine learning, deep learning, or related fields
    • Proficient in Python or R, SQL, DAX, and other data analysis and manipulation tools
    • Hands-on experience with Azure cloud services and tools, such as Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse Analytics, etc.
    • Expert in machine learning, deep learning, NLP, computer vision, and generative AI frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, NLTK, OpenCV, GPT-3, etc.
    • Strong knowledge of data structures, algorithms, and design patterns
    • Excellent problem-solving, analytical, and communication skills
    • Ability to work independently and collaboratively in a fast-paced and dynamic environment
    • Passionate about data science and AI and eager to learn new skills and technologies

    We are Navigators in the Age of Transformation:

    We use sophisticated technology to transform clients into the digital age, but our top priority is our positive impact on the human experience. We ease anxiety and fear around digital transformation and replace it with opportunity. Launch IT is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Launch IT is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

    About Company :

    About Launch IT Launch IT India is wholly owned subsidiary of The Planet Group (; ) a US company, offers attractive compensation and work environment for the prospective employees. Launch is an entrepreneurial business and technology consultancy. We help businesses and people navigate from current state to future state. Technology, tenacity, and creativity fuel our solutions with offices in Bellevue, Sacramento, Dallas, San Francisco, Hyderabad & Washington D.C.

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