Minimum Qualifications:

<ul>
<li>The candidate must have a bachelor's degree in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 6+ years of experience -OR- a master's degree in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 4+ years of experience -OR- a PhD in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 2+ years of experience in:</li>
</ul>

<ul>
<li>Demand Forecasting and Demand Planning transformation Sales Forecasting, Statistical forecasting, system-driven disaggregation, Sales and Operations Planning.</li>
</ul>

<ul>
<li>Process transformation experience within a larger program Requirements gathering, systems/business analysis, process mapping, solution acceptance testing and deployment.</li>
</ul>

<ul>
<li>Designing and deploying solutions using enterprise planning software solutions such as SAP IBP, Blue Yonder, JDA DM, i2, Kinaxis, SAP BPC, Anaplan, Demantra, SAP APO or equivalent.</li>
</ul>

<ul>
<li>Product backlog, feature definition, requirements analysis, functional design/specifications, solution delivery, testing, user training, TCM (transition change management).</li>
</ul>

Key Responsibilities:

<ul>
<li>Develop predictive and machine learning models for demand forecasting and supply optimization.</li>
</ul>

<ul>
<li>Perform data wrangling, feature engineering, and statistical analysis on large, complex datasets.</li>
</ul>

<ul>
<li>Work with enterprise demand planning solutions (Blue Yonder, SAP, or equivalent) team and learn processes to optimize Build interactive dashboards and visualizations for real-time insights using visualization tools (Power BI/Tableau).</li>
</ul>

<ul>
<li>Apply advanced data science techniques including time-series forecasting, regression, classification, clustering, and optimization algorithms.</li>
</ul>

<ul>
<li>Develop and validate models using Scikit-learn, TensorFlow, or PyTorch for predictive analytics and scenario planning.</li>
</ul>

<ul>
<li>Implement automated pipelines for data ingestion, model training, and deployment in cloud environments (Azure/AWS).Collaborate with teams to define requirements, create user stories, and support UAT.</li>
</ul>

Qualifications:

<ul>
<li>BTech/B.E/BS/MS in Computer Science, Data Science, or related field.5+ years in data science applications for supply chain.</li>
</ul>

<ul>
<li>Expertise in Python, R, SQL (Snowflake), and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.</li>
</ul>

<ul>
<li>Strong knowledge of forecasting techniques, time-series modeling, regression, classification, clustering, and optimization algorithms.</li>
</ul>

<ul>
<li>Experience with big data platforms and distributed computing frameworks Hands-on experience with data visualization tools (Power BI, Tableau) and dashboard development.</li>
</ul>

<ul>
<li>Experience with Agile methods and tools (Jira, Rally).</li>
</ul>

Preferred:

<ul>
<li>Blue Yonder or equivalent applications (SAP, Kinaxis, O9) Planning experience.</li>
</ul>

<ul>
<li>Semiconductor/high-tech industry background.</li>
</ul>

<ul>
<li>Familiarity with cloud platforms (Azure/Snowflake) and data pipelines for analytics.</li>
</ul>

Data Scientist

India

Minimum Qualifications: The candidate must have a bachelor's degree in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 6+ years of experience -OR- a master's degree in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 4+ years of experience -OR- a PhD in Computer Engineering, Computer Science, Information Technology or other Engineering related field and 2+ years of experience in: Demand Forecasting and Demand Planning transformation Sales Forecasting, Statistical forecasting, system-driven disaggregation, Sales and Operations Planning. Process transformation experience within a larger program Requirements gathering, systems/business analysis, process mapping, solution acceptance testing and deployment. Designing and deploying solutions using enterprise planning software solutions such as SAP IBP, Blue Yonder, JDA DM, i2, Kinaxis, SAP BPC, Anaplan, Demantra, SAP APO or equivalent. Product backlog, feature definition, requirements analysis, functional design/specifications, solution delivery, testing, user training, TCM (transition change management). Key Responsibilities: Develop predictive and machine learning models for demand forecasting and supply optimization. Perform data wrangling, feature engineering, and statistical analysis on large, complex datasets. Work with enterprise demand planning solutions (Blue Yonder, SAP, or equivalent) team and learn processes to optimize Build interactive dashboards and visualizations for real-time insights using visualization tools (Power BI/Tableau). Apply advanced data science techniques including time-series forecasting, regression, classification, clustering, and optimization algorithms. Develop and validate models using Scikit-learn, TensorFlow, or PyTorch for predictive analytics and scenario planning. Implement automated pipelines for data ingestion, model training, and deployment in cloud environments (Azure/AWS).Collaborate with teams to define requirements, create user stories, and support UAT. Qualifications: BTech/B.E/BS/MS in Computer Science, Data Science, or related field.5+ years in data science applications for supply chain. Expertise in Python, R, SQL (Snowflake), and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong knowledge of forecasting techniques, time-series modeling, regression, classification, clustering, and optimization algorithms. Experience with big data platforms and distributed computing frameworks Hands-on experience with data visualization tools (Power BI, Tableau) and dashboard development. Experience with Agile methods and tools (Jira, Rally). Preferred: Blue Yonder or equivalent applications (SAP, Kinaxis, O9) Planning experience. Semiconductor/high-tech industry background. Familiarity with cloud platforms (Azure/Snowflake) and data pipelines for analytics.

Data Scientist · Bengaluru

Job highlights

Skillset required

Job Description

Job Description for Data Scientist

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