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Impact Analytics - Senior AI Analyst - Python / Numpy

Impact Analytics - Senior AI Analyst - Python / Numpy

Impact Big Data Analysis Private LimitedBangalore
21 days ago
Job description

What lands you in this role :

  • Prepare and transform complex datasets using advanced data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for AI models, products and analytics.
  • Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.
  • Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development.
  • Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.
  • Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes.
  • Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.
  • Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.
  • Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases.
  • Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency.

Required Skills & Qualifications :

  • 3 to 6 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing and statistical analysis.
  • Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex codebuilding and deployment.
  • Advanced proficiency in SQL for handling large-scale datasets efficiently.
  • Job Description :

  • Proficiency in hypothesis testing, descriptive analytics using EDAs and AI / ML techniques, and familiarity with statistical modelling, (e.g., regression, classification,clustering).
  • Experience with Excel and Tableau for data visualization and storytelling.
  • Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets.
  • Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus.
  • Exceptional analytical and problem-solving skills with attention to detail.
  • Experience with the retail and CPG industry is a plus.
  • Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.
  • (ref : hirist.tech)

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