Senior Data Scientist

Merkle is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices, such as one of the two leading Company in the last Forrester Wawe in CXM Area.

The company’s heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive hyper-personalized marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 12,000 employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the Americas, EMEA, and APAC.

Merkle is a dentsu company.

Job Description

We are looking for a Senior Data Scientist to be employed in Merkle Italy.

Together with the other team members, he/she will manage and analyze large data from the web (digital marketing), customer CRMs, external data sources, developing machine learning algorithms and using various advanced analysis, information management and reporting tools.

Key responsibilities:

• Understanding and analysis of business problems for resolution or optimization with analytical and statistical methods, with traditional and Big Data approaches
• design and implementation of complex analyses, from the analysis of customer requirements to the collection and presentation of results
• management and analysis of large amounts of data, with different tools and architectures (Google Cloud Platform, BigQuery, Google Cloud Storage, Jupyter notebooks)
• development, release and maintenance of machine learning models of different types and purposes
• Interaction with colleagues from other areas to identify problems that require solutions based on the use of data.

Qualifications:

• Master's degree in mathematics, statistics or related disciplines
• 3+ years of experience in the field of data analysis and modeling
• Knowledge of the principles of statistical modeling, with particular reference to clustering, classification and regression algorithms.
• Knowledge of at least one of the following data analysis languages: Python, R
• Very familiar with SQL usage
• Excellent communication and exposure skills of the activities carried out and the results obtained
• Good knowledge of spoken and written English
• The ability to work in a team is fundamental

Additional Information

We work with highly motivated people, who support and enrich each other. We live the possibilities of the digital world through home office, meaning you can work anywhere with flexible (annual) working hours. We also value face-to-face exchanges - coffee or tea, biscuits or fruit are all welcomed on board and shared throughout our offices.

If you ever feel the need to take a break from the digital world, we love to get hands on together and use pens, paper, and whiteboards for brainstorming sessions. Need to clear your head? Hit the foosball table, PlayStation, massage bench or yoga mat. For networking and (brain) food, we offer regular exchange formats, like meetings, tech labs and more. Not enough? We are full believers in education and support training, whether it be internally or externally. We support you.

If you feel inspired by us, we’ll probably be inspired by you. Join us now and apply online to make sure we match each other’s expectations. We value diversity and are committed to creating an inclusive environment. We welcome all qualified candidates - regardless of your gender or background, please indicate your salary expectations and possible entry date. We look forward to hearing from you!