Data Science Executive

hace 7 meses

Monterrey, México British American Tobacco A tiempo completo

**BAT MEXICO IS LOOKING FOR A** **DATA SCIENCE EXECUTIVE (CONSUMER ANALYTICS)**

**SENIORITY LEVEL**:Managerial

**FUNCTION**: Insights & Foresigh

**LOCATION**:Monterrey

**ROLE POSITIONING AND OBJECTIVES**

The Data Science Executive will collect and analyze information from various sources to deliver and support projects/solutions of Data, Analytics, Visualization and Advanced Analytics as assigned by the Sr. Advanced Consumer Analytics Manager and according to the Company Strategy.

This role will help the business understand consumers in depth to formulate brand and marketing strategy with a focus on digital analytics and insights (including, but not limited to e-commerce).

Working with a diverse and highly skilled team, this role will leverage on technical knowledge to enable business strategy; will give support the Sr. Advanced Consumer Analytics Manager to frame and prototype business problems using data and advanced analytics techniques to identify, and implement, the simplest, most pragmatic tool that drives business impact to the next level. Helping the business to take better decisions providing objective, timely and relevant solutions/analysis.

To succeed in this role, you should have knowledge in statistical analysis, machine learning (ML) methods, text representation techniques (NLP) as well as being comfortable, performing data analysis from multiple data sources using different techniques and programming languages, while ensuring data quality and governance, by helping maintain metadata, dictionaries, business and technical lineage, as well as reference data information aligned to corporate policies assuring anomalies are identified.

**Reports to**:Sr. Advanced Consumer Analytics MX

**Reporting Level**:Managerial

**Geographic Scope**:US

**WHAT YOU WILL BE ACCOUNTABLE FOR**
- Support Sr. Advanced Consumer Analytics manager in multiple projects at a given time while help driving assigned KPI metrics to improve and interpret as a monetary value (revenue, EBIDTA, costs, etc) impact.
- Have certain degree of experience in delivering production-grade ML/NLP models and systems on Consumer, Marketing and Digital Analytics (including website, E-commerce, Audience segmentation, marketing campaigns, strategy, etc).
- Be able to design independently and deliver end-to-end analytics solutions / outcomes as per specifications.
- Profiency on delivering solutions in Python and/or R languages, and ML tools, frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, spaCy, Hugging Face, Keras, etc. for both transfer learning and learning from scratch.
- Mine and analyze data from various data sets/sources and/or new databases using different techniques and programming languages such as SQL, R, Phyton and Spark to query & manage various large data sets.
- Support on the development of analytical approaches to answer business questions, and creating quality End User reports or deliveries.
- Project Delivery - Professionally supports and delivers projects to achieve team long term benefits, maintaining a clear view of the project objectives, risk areas and engagement methodologies required to gain business buy-in and delivery.
- Effective Communication - Demonstrates excellent verbal and written communications across different audiences and with the ability to articulate analytical ideas & solutions is must (verbal and written English is a must).
- Ability to relate various modeling techniques to specific business challenges
- Data quality, act as data steward for consumer data

**ESSENTIAL EXPERIENCE, SKILLS AND KNOWLEDGE**
- Educational qualifications: Graduate in Engineering / Statistics / Economics / Maths / Analytics or other quantitative discipline.
- Minimum of 3 years of hands-on working experience in data science stream out of which minimum of 1 yr in consumer/customer, marketing and digital analytics. A plus have been working in CPG companies.
- Hands-on experience in the following areas:

- Profiency in R and/or Python are a must.
- Proven experience over modelling ML (NLP and AI nice to have) and other modern techniques
- Basic knowledge of Power BI/Tableau or other Data Viz tools along with understanding of UI / UX tools.
- Experience in AWS/Databricks or any other cloud for ML/Data Science environments (AWS, Azure, etc).
- Knowledge in Parallel processing using Pyspark for real-time processing, analysis and Pyspark ML modelling
- Exposure to RDBMS tools like SQL, Redshift, S3, Microstrategy.
- Minimum experience of 1 year in managing & engaging global stakeholders independently.
- Strong communicator, proficient story teller and curious self-starter, flexible problem solver, and embrace an agile mentality.
- Fluent English is a must, since the role is regarding the US market.
- Experience working with a range of BI & analytics architectures such as traditional warehousing, Cloud (AWS, Azure, Amazon S3, Teradata, Snowflake, etc.), visualization, etc.
- Experience working with Market

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