Job
Description
Key Responsibilities Manage end-to-end delivery of data science projects. Develop and validate predictive models using analytical tools Collaborate with BD team, product managers, data engineers, and other teams to deploy analytical solutions. Support internal teams in developing in-house products / analytical solutions Build models for descriptive and predictive analytics, explore natural language understanding, conversational AI, forecasting and automation. Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets. Support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. Align the technology solution with a business goal. Qualifications Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management. Excellent written and verbal communication skills, with experience presenting complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs. Skills Proven skills in translating analytics output to actionable recommendations and delivering the same to key stakeholders. Experience with extracting and aggregating data from large datasets. Experience in understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark or others). Competence in Excel, PowerPoint, and BI tools such as Tableau, PowerBI, etc. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to datasets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Partner with key stakeholders/clients to understand the problem statement and convince them with data. Extract and understand data to form an opinion on how to best help our partners and derive relevant insights. Develop visualizations to make complex analyses accessible to a broad audience. Leadership and Stakeholder Management. High attention to detail and quality. Highly adaptive, comfortable working within a complex environment. (ref:hirist.tech) Show more Show less
