Sr. Data Science Consultant - 2 (Machine Learning, Python) (Hyderabad)

**Role Overview:**

As a Data Science Consultant, you will be responsible for advising the customer and recommending software configuration alternatives to optimize the solution, enabling the customer to realize maximum value from the software. You will be an integral part of a larger global team spanning across India and EMEA, where robust communication and leadership abilities are essential for mentoring junior team members.

• *Key Responsibilities:**
• Extend and optimize classifiers using advanced machine learning techniques.
• Conduct data mining using cutting-edge methods and tools.
• Support customers running Pricing solutions and future Cognitive solutions as part of a regional and global team.
• Integrate third-party data sources to enhance the company's datasets when required.
• Refine data collection procedures to ensure availability of relevant data for analytic systems.
• Process, cleanse, and verify data integrity used for analysis.
• Perform ad-hoc analysis and present results clearly to stakeholders and customers.
• Address forecasting issues and data quality concerns of customers, writing codes for forecasting checks.
• Adhere to ITIL standards for support case management, achieving specified SLAs and Case Quality.
• Develop custom scripts and logic using advanced ML and AI techniques to solve business problems.
• *Qualifications Required:**
• Solid understanding of machine learning algorithms like Linear Regression, K-Means Clustering, Naive Bayes.
• Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two required).
• Experience in supply chain concepts and statistical analysis.
• Knowledge of operations research concepts, including integer, linear, and stochastic programming.
• Strong critical and operational thinking skills.
• Familiarity with data visualization tools like Streamlit and Power BI.
• Proficiency in query languages such as SQL, Snowflake, or Python-based SQL wrappers.
• Strong grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.
• Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.
• Strong scripting and programming capabilities.
• Data-driven mindset with attention to detail.
• *Educational Background:**
• Bachelors or Masters degree in Computer Science with a focus on Data Science.
• *Experience:**
• 7 to 10 years of relevant experience.

(Note: The additional details of the company were not provided in the job description) **Role Overview:**

As a Data Science Consultant, you will be responsible for advising the customer and recommending software configuration alternatives to optimize the solution, enabling the customer to realize maximum value from the software. You will be an integral part of a larger global team spanning across India and EMEA, where robust communication and leadership abilities are essential for mentoring junior team members.

• *Key Responsibilities:**
• Extend and optimize classifiers using advanced machine learning techniques.
• Conduct data mining using cutting-edge methods and tools.
• Support customers running Pricing solutions and future Cognitive solutions as part of a regional and global team.
• Integrate third-party data sources to enhance the company's datasets when required.
• Refine data collection procedures to ensure availability of relevant data for analytic systems.
• Process, cleanse, and verify data integrity used for analysis.
• Perform ad-hoc analysis and present results clearly to stakeholders and customers.
• Address forecasting issues and data quality concerns of customers, writing codes for forecasting checks.
• Adhere to ITIL standards for support case management, achieving specified SLAs and Case Quality.
• Develop custom scripts and logic using advanced ML and AI techniques to solve business problems.
• *Qualifications Required:**
• Solid understanding of machine learning algorithms like Linear Regression, K-Means Clustering, Naive Bayes.
• Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two required).
• Experience in supply chain concepts and statistical analysis.
• Knowledge of operations research concepts, including integer, linear, and stochastic programming.
• Strong critical and operational thinking skills.
• Familiarity with data visualization tools like Streamlit and Power BI.
• Proficiency in query languages such as SQL, Snowflake, or Python-based SQL wrappers.
• Strong grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.
• Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.
• Strong scripting and programming capabilities.
• Data-driven mindset with attention to detail.
• *Educational Background:**
• Bachelors or Masters degree in Computer Science with a focus on Data Science.
• *