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    • Data Scientist - Vadodara - Recro

    Recro
    Recro Vadodara

    1 week ago

    Default job background
    Description

    Data Science and Generative AI

    Key Responsibilities:

    • We collaborate with business stakeholders and cross-functional experts to gain a deep understanding of the business context and key business questions.
    • We develop Proof of Concepts (POCs) / Minimum Viable Products (MVPs), guide them through production deployment, and operationalize projects.
    • We influence machine learning strategy for digital programs and projects.
    • We provide recommendations that balance speed to market and analytical soundness.
    • We explore design options to assess efficiency and impact, and develop approaches to improve robustness and rigor.
    • We create analytical/modeling solutions using commercial and open-source tools such as Python, R, and TensorFlow.
    • We formulate model-based solutions by combining machine learning algorithms with other techniques like simulations.
    • We design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
    • We develop algorithms to extract information from large multiparametric data sets.
    • We deploy algorithms to production to identify actionable insights from large databases.
    • We compare results from various methodologies and recommend optimal techniques.
    • We develop and embed automated processes for predictive model validation, deployment, and implementation.
    • We work on multiple pillars of AI, including cognitive engineering, conversational bots, and data science.
    • We ensure solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
    • We lead discussions at peer reviews and use interpersonal skills to positively influence decision-making.
    • We provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices.
    • We facilitate cross-geography sharing of new ideas, learnings, and best practices.

    Requirements:

    • Educational Background: Bachelor of Science or Bachelor of Engineering (minimum).
    • Experience: 4+ years of experience as a Data Scientist.

    Skills:

    • A combination of business acumen, strong analytical and problem-solving skills, and programming knowledge to rapidly 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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