CrawlJobs Logo
Vodafone Logo Vodafone · IT - Software Development

Sr. Data Scientist

Egypt, Giza · Job Posted June 14, 2026
Apply Position
Job Link Share

Job Description

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact. Role Purpose: Vodafone Egypt consumer marketing team seeks a Senior Data Scientist to boost business's decisions towards a data-driven decisions. As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers. Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone’s huge volume of data and large-scale computing resources.

Job Responsibility

  • Identifying business opportunities to make a commercial difference
  • Leads the development of analytics initiatives to meet business requirements
  • Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
  • Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
  • Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
  • Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics
  • Spread Design Thinking and Agile methodologies

Requirements

  • Master's (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
  • Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling
  • Competent in machine learning principles, deep learning and generative AI techniques
  • Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
  • Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
  • Familiar with implementing data transformations and algorithms in common programming languages
  • Strong communication skills with prior experience communicating analytics results to senior management
  • Excellent command of English
Vodafone - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Sr. Data Scientist

8 matching positions

New

Sr. Data Scientist

Do you have a relentless passion for data and analytics and a desire to drive fu...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR equivalent experience
Job Responsibility
Job Responsibility
  • As an expert in data science, you will take on the most complex business problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in the context of customer, engineering, and business needs
  • You will build everything required to uncover business opportunities and generate actionable insights that move the needle
  • You will establish causality and conduct experiments to gain insights into quality, health of products, and customer usage
  • Additionally, you will lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities, while fine-tuning foundational models to improve intelligent search experiences
  • You will engage with peers to produce clear, compelling, and data-backed hypotheses and insights which are actionable and influence product and service improvements—crafting the experience millions of customers have with Windows
  • You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results
  • Through your analysis and research, you will curate and maintain Key Performance Indicators which show trends towards achieving a business goal
  • You will learn and excel in ways to find patterns in the data that are harder to detect but can lead to achieving our business objectives
  • Your analysis will not only show us what we're doing right or wrong in our current methodology, but also what customer segments and strategies we should invest more in, and how, for achieving and exceeding our goals
  • Fulltime
Read More
Arrow Right

Sr. Data Scientist

We are seeking a highly experienced Senior Data Scientist to lead the developmen...
Location
Location
Canada , Toronto
Salary
Salary:
57.46 - 67.04 USD / Hour
https://www.randstad.com Logo
Randstad
Expiration Date
June 21, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics
  • 5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks
  • 5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing
  • Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services
  • Expertise in Power BI or similar tools for executive-level reporting and data storytelling
  • Solid understanding of data lake architecture, data modeling, and big data solution principles
  • Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC)
  • Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI
  • Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark
  • Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment
  • Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models
  • Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making
  • Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture
  • Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle
What we offer
What we offer
  • 36-month contract
  • Immediate start
  • Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation
  • Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment
  • Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling
  • Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem
  • Fulltime
!
Read More
Arrow Right

Sr. Data Scientist

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
304944.00 - 325270.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Industrial engineering relevant technical field and five years of progressive, post-baccalaureate experience in the job offered or a computer-related occupation. Alternatively, the employer will accept 7 years of experience
  • Experience must include 5 years of experience in the following: Leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Applying predictive modeling, machine learning, and experimentation / causal inference methods on a regular basis to solve real life problems
  • Working effectively with a very large number of stakeholders, cross functionally, including Engineering, PM/TPM, Analytics & Finance as well as cross-org
  • Framing and communicating with senior leadership
Job Responsibility
Job Responsibility
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Partner with Product and Engineering teams to solve complex problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • Work on Data Infrastructure
  • Working in Hadoop and Hive and MySQL
  • Authoring pipelines via SQL and python based ETL framework
  • Guide experimentation across the Core Ads Growth organization (~1,200 people for all functions)
  • This entails reviewing complex experiments across the Core Ads Growth product suite, and supporting the development of robust measurement plans across organizational pillars
  • Responsible for machine learning model development including guiding Machine Learning Engineers on the authoring of Machine Learning models such as guiding label design, and offline and online evaluation of results
  • Advancing analytics in Python and R leverage big data to make the right strategic business decisions, such as complex trade-offs between competing metrics, and steer product development for positive long-term outcomes for the business
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Sr. Data Scientist

We are currently seeking a Sr. Data Scientist (REMOTE) to join our team in Mexic...
Location
Location
Mexico
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PHD
  • 2 yrs of work experience
  • Manufacturing experience (machine data, IOT data)
  • Computer vision/Gen AI
  • Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively
  • Proficient in analyzing and modeling big data utilizing statistical, machine learning, deep learning, and computer vision techniques
  • Expertise in transforming ambiguous questions into impactful experiments, analysis, or models
  • Familiarity with modeling requirements for Customer 360 and Customer Journey
  • Experience with Machine Learning platforms (AWS SageMaker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau)
  • Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable
Job Responsibility
Job Responsibility
  • Collaborate closely with business teams to ideate and align on Data Science solutions for addressing diverse business challenges
  • Perform exploratory data analysis (EDA) on source data from the Big Data Platform data lake, Data Science Platform, and other relevant Battery Manufacturing datasets to address specific use cases
  • Develop, maintain, and enhance Machine Learning (ML), Deep Learning (DL) and Computer Vision (CV) (Must have) models using transformed data, primarily leveraging Python and Spark-ML algorithms
  • Apply optimization techniques, including hyperparameter tuning, to improve the performance of ML and DL models
  • Provide decision-support analytics to assist in business strategy formulation or address specific business challenges when needed
  • Actively participate in daily stand-ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies, providing progress updates and collaborating with the team
  • Engage in ideation sessions with business user groups to gather requirements and ensure alignment with business objectives
  • Present insights, findings, and results clearly to product owners and stakeholders, ensuring they understand and can make informed decisions
  • Contribute to validating and prioritizing the product backlog, managing risks, and ensuring the smooth execution of sprint tasks
  • Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations
Read More
Arrow Right

Sr. Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...
Location
Location
Egypt , Giza
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced machine learning & statistical modeling
  • Strong programming skills (Python, SQL) and data engineering knowledge
  • Business acumen to translate problems into data-driven solutions
  • Effective communication & storytelling for non-technical audiences
  • Experience with MLOps & model deployment in production environments
Read More
Arrow Right
New

Sr Data Scientist

We are seeking an exceptional Senior Data Scientist to join our dynamic Data Sci...
Location
Location
India , Gurgaon
Salary
Salary:
Not provided
https://www.baxter.com/ Logo
Baxter
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 8+ years of progressive experience in AI/Data Science
  • At least 3+ years of hands-on experience in building AI/ML models for Financial Planning & Analysis or Corporate Finance domain
  • Proven track record of designing and delivering production-grade AI/ML projects in enterprise environments for finance
  • Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday)
  • Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
  • Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
  • Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
  • Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
  • Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
  • Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications
Job Responsibility
Job Responsibility
  • Develop and maintain advanced predictive models for Sales, revenue forecasting, expense management, and cash flow optimization
  • Build automated model and reporting systems using AI
  • Design variance analysis frameworks to identify key drivers of financial performance
  • Conduct scenario analysis and sensitivity modeling for strategic initiatives
  • Present findings and recommendations to senior leadership and stakeholders
  • Establish data quality standards and governance frameworks for financial analytics
  • Drive innovation by evaluating and implementing emerging AI/data science technologies
  • Mentor junior team members and foster a culture of data-driven decision making
  • Partner with business leaders to translate complex financial data into actionable insights
What we offer
What we offer
  • Competitive salary package commensurate with experience and market standards
  • Comprehensive health insurance coverage for self and dependents
  • Clear career progression path with regular performance reviews
  • Mentorship from senior leaders and exposure to global projects
  • Collaborative and inclusive culture that values innovation and diversity
  • State-of-the-art workspace in Gurgaon with modern amenities
  • Flexible work arrangements including hybrid work options –3 days in office arrangement
  • Contribute to BAXTER's mission of saving and sustaining lives worldwide
  • Work on meaningful projects that directly improve healthcare outcomes
  • Be part of a Fortune 500 company with global presence and stability
  • Fulltime
Read More
Arrow Right

Sr Data Scientist

We're Blue River, a team of innovators driven to create intelligent machinery th...
Location
Location
United States , Santa Clara
Salary
Salary:
209862.00 - 275000.00 USD / Year
bluerivertechnology.com Logo
Blue River Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Math, Physics, Data Science, or related field plus 5 years of related experience
  • Implement and deploy computer vision and machine learning-based data pipeline systems using semantic segmentation, image & video classification, object detection, supervised, and unsupervised learning (5 yrs)
  • Experience working with data engineers, data scientists, software engineers, and field staff through the lifecycle of developing and deploying a machine learning system (4 yrs)
  • Perform non-parametric statistical tests and analysis on large image-based data sets using sklearn, scikit-image, scipy, and OpenCV (3 yrs)
  • Write technical documentation, tutorials, and summaries to train data collection teams and conduct on-site training (3 yrs)
  • Deploy scalable cloud-based solutions to mine, preprocess, resize, crop, rectify, and filter image-based data sets (5 yrs)
  • Implement code using Python libraries, including NumPy, SciPy, OpenCV, Pandas, Seaborn, Matplotlib, CUDA, Pytorch, and TensorFlow (5 yrs)
  • Design, implement, debug, and deploy stereo image-based data pipelines using Apache TeamCity, AWS Airflow, Redis, Google appsheet, Data bricks datatables, Celery, and advanced search solutions on LabelBox with open source models such as CLIP and BLIP (6 mos)
  • Design, build, and debug custom Python pipelines using Python Functools for processing large image datasets, deploy these pipelines using Docker and Docker-compose (1 yr)
  • Use statistical sampling algorithms to design efficient data collection methods for large stereo camera-based image datasets and coordinate data collection (6 mos)
Job Responsibility
Job Responsibility
  • Define, curate, and manage datasets of images, sensor data, and scenarios that are designed to increase the trust and safety of autonomy
  • Work closely with data engineers and field data capture technicians to mine fleet data and identify open needs
  • Define frameworks for cataloging and searching scenario-based data to serve multiple stakeholders, including computer vision and robotics teams
  • Monitor, investigate, and fix data ingestion issues related to dataset curation for training and testing computer vision algorithms
  • Investigate data quality and actively participate in conceptualizing and developing short and long-term solutions
  • Provide data and infrastructure support to internal teams
  • Provide guidance to improve the stability, security, efficiency, and scalability of image data pipelines
  • Improve code quality through writing unit tests, automation, and performing code reviews
  • Examine the correlation between customer experience and virtual performance in like scenarios
  • adjust as needed
What we offer
What we offer
  • Eligibility for Blue River's bonus and benefit programs
  • Fulltime
Read More
Arrow Right

Sr. Data Scientist, Product Insights

At Catawiki, every day brings the extraordinary! We are looking for a Senior Dat...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
catawiki.com Logo
Catawiki
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in data science or analytics, ideally in an online company
  • Highly proficient in SQL and experienced in Python, R, or another language
  • Deep statistical expertise including regression analysis, causal inference, time series modeling, and hypothesis testing
  • Experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM)
  • Hands-on experience designing and evaluating A/B tests and other experiments
  • Strong communicator and mentor
Job Responsibility
Job Responsibility
  • Own analytics for a broad product area
  • Turn data into insights and recommendations
  • Drive advanced product analytics at scale (including GenAI)
What we offer
What we offer
  • €100 Catavoucher when you join
  • €50 Catavoucher on your birthday
  • An extra day off each year to 'Pursue Your Passion'
  • Additional leave for key work anniversaries and important life events
  • Fulltime
Read More
Arrow Right