Data Science Specialist Expert

Vodafone

Education
Benefits
Special Commitments
Skills

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Hello there! We’re Vodafone Intelligent Solutions (also known as _VOIS) and we’re looking for a

Senior Sales Reporting Specialist – Data Scientist (Full- Time or Part-Time)

Your role in a nutshell:

Play a crucial role in leveraging data-driven insights to enable b2b consulting services and sales support as a part of Vodafone Business Germany. Your expertise in machine learning and AI, statistical analysis, and programming will be instrumental in developing cutting-edge solutions.

What you’ll do:

  • Utilize advanced data analysis and modeling techniques to develop machine learning models for B2B use cases, with a primary focus on technical consulting services and sales support, following an agile working methodology.
  • Collaborate with cross-functional teams, including sales, IT and consulting project, to identify business problems and opportunities that can be addressed through data-driven solutions.
  • Collect, preprocess, and clean large volumes of structured and unstructured data from various sources to ensure high-quality input for machine learning models.
  • Develop and deploy predictive models, recommendation systems, and other machine learning algorithms to drive actionable insights and improve decision-making processes.
  • Continuously evaluate and refine existing models to enhance their performance and accuracy by incorporating new data sources and applying appropriate feature engineering techniques.
  • Conduct statistical analyses to extract meaningful patterns, identify trends, and quantify the impact of different factors on business outcomes.
  • Work with stakeholders to understand their requirements, provide data-driven recommendations, and present findings and insights in a clear and understandable manner.
  • Stay up-to-date with the latest advancements in machine learning, data science, and relevant technologies, and actively share knowledge within the team.

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What you will bring to the team:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist, preferably in a B2B and/or telecommunication industry context, with a strong track record of developing and implementing machine learning models.
  • Foundational technical expertise, including both business acumen and strategic thinking, as well as the ability to identify issues and provide innovative data-driven problem solving.
  • Proficient in Python, distributed computing frameworks (e.g., Spark, Hadoop, MapReduce), and Machine Learning Frameworks (e.g. TensorFlow) for data manipulation, analysis, and model development.
  • In-depth understanding of statistical concepts and methodologies, such as hypothesis testing, regression analysis, time series analysis, etc.
  • Solid knowledge of machine learning algorithms, including neural networks, XGBoost, decision trees, and ensemble methods.
  • Initial experience with generative AI (e.g., LLM, RAG) and the processing of unstructured data
  • Strong problem-solving skills and ability to translate business requirements into practical data-driven solutions.
  • Excellent communication and presentation skills in English, with the ability to convey complex concepts to both technical and non-technical stakeholders.
  • Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) is advantageous.

In return we provide you with:

  • A dynamic environment where innovative ideas are always welcome
  • A collaborative community where your professional goals and work are supported by a diverse team
  • A supportive internal coaching and mentoring culture
  • Corporate assets including a laptop and mobile phone with subscription (unlimited voice, text message, and data within the EU)
  • Cafeteria package
  • Private Medical Services
  • Employee Assistance Program to support your wellbeing and mental health
  • Life and accident insurance
  • You can work remotely overseas for 20 days a year
  • 16 weeks fully paid parental leave. This applies to all non-birthing partners who become parents due to birth or adoption
  • You and your family members can enjoy several discounts from our partners
  • You will be working in a hybrid model, which means 3 days working from home with 2 days office visit per week

#movewithus #_VOIS #VOISHU #LI-Hybrid

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Confirmed 7 hours ago. Posted 18 days ago.

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