Impact Analytics

2 weeks ago

Bengaluru, India Impact Big Data Analysis Private Limited Full time

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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