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    Data Science Analyst - Mumbai, India - Aricent

    Aricent
    Aricent Mumbai, India

    5 days ago

    Default job background
    permanent Technology / Internet
    Description

    Profile :
    Data Science Analyst


    Location :
    WFO / WFH (Anywhere)


    Job Description :

    How you will contribute :

    • Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
    • Identify patterns and help the business react to changing business conditions
    • Perform rootcause analysis and interpret data
    • Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
    • Understand and be involved with aspects of the data science process
    • As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualisations and reporting dashboards
    • Collaborate with crossfunctional teams to gather and understand data requirements for various projects.
    • Clean, preprocess, and transform raw data into usable formats for analysis.
    • Develop and implement statistical models and algorithms to extract insights from data.
    • Create and maintain dashboards and reports to track key performance metrics and trends.
    • Conduct exploratory data analysis to identify patterns, anomalies, and potential areas for improvement.
    • Assist in designing and conducting A/B tests and experiments to support datadriven decisionmaking.
    • Stay uptodate with industry trends and best practices in data analysis and machine learning.
    • Document and communicate findings, insights, and recommendations to team members and stakeholders.
    • Collaborate with senior data scientists to refine and enhance analytical methodologies.
    • Continuously improve data quality and reliability by identifying and addressing data issues.
    • Support datadriven decisionmaking by providing actionable insights and recommendations.

    What you will bring :

    • Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAAS software.
    • Moderate knowledge in Math and statistical skills, strong business acumen, moderate computer science/coding skills.
    • Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have
    • Gen AI/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms
    • Develop key performance indicators and create visualisations of the data.
    • Utilise business intelligence and analytics tool.
    )
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