Data Science Consultant
Full Time / London, United Kingdom
Position Summary
Experienced Data Scientist with a strong development background. You will collaborate with key stakeholders and apply your technical proficiency in machine learning, Python, R, and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and will interact directly with enterprise customers for the Adobe Experience Platform.
What You’ll Do
- Work with Adobe customers to gather requirements, map solutions & make recommendations
- Documents projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results
- Strong collaboration with software engineer consultants onshore & offshore
- Build reusable statistical models & modify existing algorithms
- Support the execution of Data Science solutions to business problems
- Support the client with their business goals, define data science strategy and execute against it
- Report back results and suggest the next steps to the client’s leadership, decision-makers, and team
- Innovate on new ideas to solve customer needs & assist to market internally new solutions
- Bill & forecast time toward customer projects
- Be part of shaping their Data Science Team in EMEA
What you would need to succeed!
At Least 3 Years Of Experience In The Following
- Data Science role , with a focus on building data pipelines for conducting data-intensive analysis
- Machine Learning and algorithms for classification, clustering & prediction
- common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark, etc.)
- enterprise development using Python
- complex SQL experience
- Data Modeling experience
- Data Visualization tools (i.e. Tableau, PowerBI, etc.)
- Ability to enhance Standard Algorithms is required
- Knowledge & experience using Amazon Sagemaker , Microsoft Azure ML or Google AI technologies
- Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
- Strong verbal & written communication skills to communicate effectively with internal and external teams
- Experience with understanding business requirements and goals definition and management, structured analysis, use case documentation
- Understanding goals and common industry challenges of the customer
- Ability to transfer your understanding into tangible deliverables to ultimately lead the customer to the desired outcome
- Be self-managed, proactive and customer-focused!
- Degree in Computer Science, Information Systems or related field
Special Consideration is given for
- Experience with Adobe Experience Cloud solutions
- Proven knowledge with Web Analytics or Digital Marketing
- Experience as an enterprise Data Science or Engineer or Consultant
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who help each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe’s the place for you. Discover what their employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits they offer.
Adobe is an equal opportunity employer. They welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through their unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe’s the place for you. Discover what their employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits they offer.
Adobe is an equal opportunity employer. They welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.