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Job Description

A Fortune 50 client is looking for a Data Scientist Engineer to come join their team in support of their Integrated Business Planning program for their European sector. As a Data Scientist, you will be working on this clients large Integration Business Planning program in helping them change their data hierarchy by decreasing their 13k demand forecasting models to 7-8k in an effort to create less models but more efficient models. This role will require someone who understands IBP demand planning forecasting who can assess the accuracy and performance of machine learning models in the new models, help with model selection logic, perform data validation check and data quality checks, assist in the change in hierarchy of the data, and map existing old data to the new models to create better output. We are looking for someone who can help with making business recommendations and create solutions for problems that arise are key to success. You will also be working on data engineering areas and supporting analytics for business users as needed. An ideal candidate will have a passion for solving problems and be comfortable working in a smaller team, within a global organization. This role allows candidates to be remote in India, however you must be available to work either 10am-7pm IST or 11am 8pm IST.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

-3-5 years overall Data Science experience

-Proven track record building time series and machine learning models in production

-Programming: Python ad Pyspark (pandas, NumPy, scikit learn), SQL (T SQL, PostgreSQL)

-Experience working in Azure ecosystem: ADF, ADLS, Databricks, Blob, etc.

-Knowledge with different models such as: ARIMA/SARIMA, Prophet, Crostons method, ETS, XGBoost, Random Forest, and/or Gradient Boosting.

-ETL & Orchestration: Azure Data Factory or equivalent (e.g., AWS Glue, Google Cloud Dataflow).

-Model Management: MLflow or similar for experiment tracking and model registry.

-Deployment: Docker, CI/CD tools (e.g., Azure DevOps, Jenkins).

-Excellent problem-solving and analytical skills; strong communication and teamwork abilities; ability to work in a fast-paced and dynamic environment

-Excellent written and verbal communication -Any experience or exposure to IBP demand planning

-Understanding of data engineering concepts and tools

-Industry experience in CPG, F&B, or FMCB null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].