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    • Data Scientist - Bharatpur - Recro

    Recro
    Recro Bharatpur

    1 week ago

    Description

    DATA SCIENCE AND GENETIC AI

    Main Responsibilities:

    • Collaborate with business stakeholders and cross-functional experts to deeply understand the business context and key questions.
    • Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.
    • Influence machine learning strategy for Digital programs and projects.
    • Make solution recommendations that appropriately balance speed to market and analytical soundness.
    • Analyze design options to assess efficiency and impact, and develop approaches to improve robustness and rigor.
    • Develop analytical/modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow).
    • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
    • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
    • Develop algorithms to extract information from large, multiparametric data sets.
    • Deploy algorithms to production to identify actionable insights from large databases.
    • Compare results from various methodologies and recommend optimal techniques.
    • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
    • Develop and embed automated processes for predictive model validation, deployment, and implementation.
    • Work on multiple pillars of AI, including cognitive engineering, conversational bots, and data science.
    • Evaluate that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
    • Lead discussions at peer reviews and use interpersonal skills to positively influence decision making.
    • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices.
    • Foster cross-geography sharing of new ideas, learnings, and best practices.

    Required Qualifications:

    • Bachelor of Science or Bachelor of Engineering degree (minimum required).
    • 4+ years of work experience as a Data Scientist.

    Skills:

    • A combination of business acumen, strong analytical and problem-solving skills, and programming knowledge to quickly cycle hypotheses through the discovery phase of a project.
    • Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala).
    • Good hands-on skills in both feature engineering and hyperparameter optimization.
    • Experience producing high-quality code, tests, and documentation.
    • Experience with Microsoft Azure or AWS data management tools such as Azure Data Factory, Data Lake, Azure ML, Synapse, Databricks.
    • Understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies.
    • Proficiency in statistical concepts and machine learning algorithms.
    • Good knowledge of Agile principles and processes.
    • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams.
    • Ability to share ideas compellingly, summarize and communicate data analysis assumptions and results.
    • Self-motivated and proactive problem solver who can work independently and in teams.
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