Senior NW Data Scientist - VOIS

Role Purpose

The role of Data Scientist is to Design & Develop analytical models & insight packs to support Local markets, Partner markets, and Corporate accounts to transform raw data into actionable intelligence using predictive & descriptive statistical techniques through all kind of data store

Experience

Experience with different aspects of analysis and advanced analytics techniques (e.g. Descriptive, predictive, optimization) Comfort manipulating and analyzing complex, high-volume, high-dimensionality data -preferably in Hadoop/Spark Proven experience in SQL & databases like Teradata/Oracle/MySQL Very good experience and good knowledge of Machine Learning techniques and how they are applied to real life applications Proven experience in one or more statistical tools like Python, R, SAS EM, Mat lab, SPSS. Teradata Warehouse Miner etc. Professional or academic knowledge with Data Science, Applied Maths or Statistics. MS/Ph.D. or Bachelor Degree in computer science and/or engineering or equivalent with 3-5+ years of relevant experience Working in international, distributed teams Hands on experience in working within agile development environment preferably as part of multi-locations and/or virtual teams ITIL awareness Fully comfortable working in English, both in writing and spoken

Responsabilities

Build, test and deliver new analytics / models using the new data sets as required to underpin use case. Data preparation, cleansing, SQL and NO-SQL optimization and implementing statistical models Play effective role in decision making processes for business customers by developing different types of models (descriptive, predictive…) on specific segments such as certain market segments, products, services, etc. Working closely with commercial teams to present the recommended actions based on the outcome from the models/analytical results Provide product management support to identify and define customer facing analytics use cases for the product roadmap Support definition of the lifecycle process for analytics, allowing for fast, low cost development Participate in the business analysis and document the specification of business information requests.

Comments

Proficiency in Python libraries such as NumPy, Pandas, and scikit-learn. ? Experience with data visualization tools like Matplotlib, Seaborn, Tableau and Power BI. Hands-on experience with LLMs and Generative AI tools (e.g., LlamaIndex, LangChain, HuggingFace). Strong knowledge of SQL and NoSQL databases. ? Experience with Big Data tools like Hadoop, Hive, and Spark. Advanced mathematical and statistical skills. ? Proficiency in Git version control. Experience with ETL pipelines and data cleaning processes. Familiarity with Linux commands and shell scripting. Knowledge of workflow orchestration tools (e.g., Apache Airflow). Knowledge of DL frameworks such as TensorFlow and Keras. Strong problem-solving and analytical thinking skills. Ability to work independently and mentor team members. Excellent communication, presentation, and teamwork skills. Familiarity with Agile methodologies. ? Experience with CI/CD and DevOps practices fo

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