Advise the customer and recommend software configuration alternatives to optimize the solution
Extend and optimize classifiers using advanced machine learning techniques
Conduct data mining using cutting-edge methods and tools
Support customer running Pricing solutions and in the future our Cognitive solutions
Integrate third-party data sources to enhance the company’s datasets when necessary
Refine data collection procedures to ensure relevant data is available for analytic systems
Process, cleanse, and verify the integrity of data used for analysis
Perform ad-hoc analysis and present results clearly to stakeholders and customers
Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks
Adhere to ITIL standards for support case management when working with customers
Build custom scripts and logic using advance ML and AI techniques to solve business problems

Bachelor’s or Master’s degree in Computer Science with a focus on Data Science
5-8 Years of experience
Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes)
Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn
Experience in supply chain concepts and statistical analysis
Knowledge of operations research concepts, including integer, linear, and stochastic programming
Familiarity with data visualization tools such as Streamlit and Power BI
Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers
Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis

Senior Data Science Consultant – Python, ML, Data Science

Key skills