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Impact Analytics - Senior AI Analyst - Python/Numpy Job Opening In Bengaluru – Now Hiring Impact Big Data Analysis Private Limited


Job description

<p><p><b>What lands you in this role : </b><br/><br/>- Prepare and transform complex datasets using advanced data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for AI models, products and analytics.<br/><br/>- Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.<br/><br/>- Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development.<br/><br/>- Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.<br/><br/>- Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes.<br/><br/>- Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.<br/><br/>- Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.<br/><br/>- Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases.<br/><br/>- Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/>- 3 to 6 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing and statistical analysis.<br/><br/>- Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex codebuilding and deployment.<br/><br/>- Advanced proficiency in SQL for handling large-scale datasets efficiently.<br/><br/>Job Description :<br/><br/></p><p>- Proficiency in hypothesis testing, descriptive analytics using EDAs and AI/ML techniques, and familiarity with statistical modelling, (e.g., regression, classification,clustering).<br/><br/>- Experience with Excel and Tableau for data visualization and storytelling.<br/><br/>- Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets.<br/><br/>- Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus.<br/><br/>- Exceptional analytical and problem-solving skills with attention to detail.<br/><br/>- Experience with the retail and CPG industry is a plus.<br/><br/>- Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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