CrawlJobs Logo

Senior Data Scientist

coca-colahellenic.com Logo

Coca-Cola HBC

Location Icon

Location:
Egypt , Cairo

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.

Job Responsibility:

  • Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments
  • Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
  • Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
  • Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
  • Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications
  • Deliver scalable, maintainable solutions that support customer and business needs
  • Have opportunities for professional training and certifications as well as mentorship

Requirements:

  • BSc or MSc in Data Science, Engineering or a related field
  • Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization)
  • Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
  • Experience building scalable solutions that go beyond one-off analyses
  • People management experience of at least one year
  • Great communication skills and the ability to engage with both technical and business stakeholders
  • Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable
  • Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development
  • Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated
  • Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic
  • Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus

Nice to have:

  • Ideally certification in Databricks or Azure
  • Familiarity with Microsoft Copilot Studio and Foundry
  • Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus
What we offer:
  • Development opportunities
  • Work with iconic brands
  • Supportive team

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Coca-Cola HBC - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Compare pay for this role

Aggregated ranges from job postings for Senior Data Scientist.

Senior Data Scientist salary

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Data Scientist

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel se...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Leadership development
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
United States , Cambridge
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Leadership development
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
Denmark , Copenhagen
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation
  • Time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
Switzerland , Zurich
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA
  • Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth, Company-paid subscription to HeadSpace, Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Focus on your career growth: Development Dollars, Leadership development, Access to thousand of on-demand e-learnings
  • Travel Discounts
  • Employee Resource Groups
  • 5 weeks paid vacation
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...
Location
Location
Belgium , Diegem
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 7+ years of experience in Data Science
  • Coordinate the development and implementation of solutions with machine and deep learning at our customers
  • Assess the quality and performance of existing predictive models
  • Lead a team of talented Data Scientists
  • Master's degree (or equivalent through experience) in a field that is highly data-driven
  • Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
  • Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
  • Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
  • Well versed in open-source software and libraries in Python and/or R for machine and deep learning
  • Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus
Job Responsibility
Job Responsibility
  • Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
  • Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more
What we offer
What we offer
  • Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
  • Continuous learning opportunities through the Sopra Steria Academy
  • The opportunity to connect with fellow Sopra Steria colleagues at various team events
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...
Location
Location
Ukraine; United Kingdom
Salary
Salary:
Not provided
eleks.com Logo
ELEKS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in Data Science
  • Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
  • Advanced level of English
Job Responsibility
Job Responsibility
  • Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
  • Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
  • Design and optimize conversational flows, personalization features, and integration with client documentation systems
  • Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
  • Mentor and guide junior data scientists within the team
  • Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model
What we offer
What we offer
  • Close cooperation with a customer
  • Challenging tasks
  • Competence development
  • Ability to influence project technologies
  • Team of professionals
  • Dynamic environment with low level of bureaucracy
Read More
Arrow Right

Senior Data Scientist

As a Senior Data Scientist – Offer, you’ll play a key role in transforming how w...
Location
Location
France , Aix-en-Provence
Salary
Salary:
Not provided
voyage-prive.co.uk Logo
Voyage Privé
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Machine Learning or Data Science, with strong foundations in mathematics, statistics, and computer science
  • 7+ years of experience as a Data Scientist or ML Engineer, ideally in a digital/tech environment
  • Strong expertise in Python and SQL, version control (GitLab/GitHub), and deploying ML models at scale
  • Advanced experience with cloud platforms (GCP preferred) and A/B testing frameworks
  • Excellent communication skills and ability to synthesize complex topics for diverse stakeholders
  • Autonomous, proactive, and eager to innovate and challenge existing approaches
  • Communicate well in English and French
Job Responsibility
Job Responsibility
  • Act as the go-to expert for AI within the “Offer” domain, understanding key business challenges and proposing new opportunities
  • Conduct research on cutting-edge algorithms, benchmark them, and apply the most suitable approaches to real-world use cases
  • Design and deploy at scale high-impact forecasting models to anticipate market demand and optimize supplier negotiations
  • Collaborate with Data Analysts to run and monitor A/B tests, enabling rapid iteration on new high-value features
  • Ensure models are accessible and reliable by embedding them into web applications and monitoring real-time performance
  • Contribute as a technical bar-raiser: uphold coding best practices, lead major code reviews, and introduce new workflows or tools
  • Strengthen team visibility through blog posts, demos, and participation in meetups or open-source projects
What we offer
What we offer
  • Access our large on-site fitness center morning, noon, and night
  • Private padel court
  • Company Breaks, Carnival, Annual Convention, meetups and talks
  • Free tickets to every Provence Rugby home match and live music nights at the Dalida Institute
  • Up to 20% off our exclusive getaway offers
  • 4 fully remote weeks per year
  • Fulltime
Read More
Arrow Right