Job Description

Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities - enabling them to improve outcomes, make progress, and benefit the generations that follow.

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Organization brief:

'Springer Nature Technology and Publishing Solutions is the technology and publishing solutions arm of the Springer Nature Group. We leverage our insight in the publishing domain and acquire, produce and deliver content across media and markets using our Technology and Publishing Solutions. With a focus on technology-driven solutions and deep insight into the publishing domain, Springer Nature Technology and Publishing Solutions offers a range of services that help our Group brand acquire, produce and deliver content in the most efficient ways possible. We are ISO 9001 certified, driven by over 1000 professionals in Technology, Research & Analysis and Marketing shared services
'We are proud to be an equal opportunity employer. All applicants will be considered for employment on the
basis of merit alone, without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status

Springer Nature is seeking a highly motivated Data Scientist with experience in measurement and predictive modeling for its highly-regarded Advanced Analytics and Data Science Team. This is a rare opportunity for someone who has both excellent technical and team management skills.

As a Data Scientist, you'll be working with big data from very highly trafficked websites and content serving the Research publishing division that includes Nature, Springer, BioMedCentral and Palgrave. In this role, the focus will be on establishing measurement and causal inference capability to drive the quality and frequency of decision-making based on testing and measurement. You will be working with stakeholders to develop measurement and learning frameworks, analyze big data and conduct statistical analysis. This role sits in the Data Analytics and Technology Team that supports all of the global team of Research Marketing. You will provide actionable analysis and insight into the different areas of the business: author marketing, eCommerce and institutional marketing.

Springer Nature Technology and Publishing Solutions is a dynamic, diverse and engaging workplace. Among other things, we offer a healthy work/life balance (with flexible hours) combined with interesting and challenging work in a positive environment. We have an open door policy and you will be able to interact with a global team (ranging from Singapore to New York) where you will find enthusiastic and supportive colleagues.

Resources are available for training (to further develop your skills) and there are constant career growth opportunities.

International travelling is also possible to meet the rest of the team in Europe and directly interact with team members in the London office.

We are interested in candidates who have come from either a data science background or STEM background. We are keen to hear from candidates from a wide range of backgrounds, but an empathy and interest in scientific discovery and academic research will be valuable. Whatever your background, you will be able to demonstrate experience in applying a broad range of measurement and causal inference techniques to business problems.

Responsibilities

• Manage a team of two analysts and mentor them supporting the development of their skills and their career growth
• Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
• Conduct data analysis and data modelling integrating internal and external datasets
• Work as part of the marketing analytics team to share knowledge and ensure that measurement frameworks are baked in to marketing activity
• Development of measurement frameworks and testing plans
• Establishing design of experiments, measurement and testing best practice
• Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Natures products, services and platforms
• Increase the adoption of data science, standardise analytics tools across the marketing organisation, improve data management and reporting, and make data led insight accessible to the business
• Being an advocate for a data-driven culture, share thought leadership on tools and best practices
• Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
• Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI

Key Relationships

• Marketing data analytics and technology colleagues
• Other teams within marketing, especially marketing strategy
• Data development technical teams within SN Digital and Product
• Data and Analytics Solutions team
• Product team (PPG)

Experience, Skills & Qualifications

Experience & Skills

• Experience in leading a team or mentoring team members developing their skills and enhancing their career progress
• Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python, R, Tableau & Datastudio (Experience of work in Python and Big Query environment preferred)
• Experience of working at a mid-senior level in a large, complex organisation, and managing relationships with peers and collaborators to deliver work and influence plans and strategy
• Ability to understand business drivers and use this to ensure analytical work is focussed on measureable results, and to communicate analysis conclusions to a non-technical audience in compelling and action orientated way
• Ability to perform advanced statistical analysis (regression and classification, linear and non-linear regression, logistic regression and multivariate analysis)
• Experience with multivariate analysis, clustering, decision tree modelling and other advanced techniques (factor analysis, kernel machines, hidden Markov model, etc.)
• Demonstrable experience in designing and running experiments such as randomised control studies, A/B studies and quasi-experiments using Bayesian causal inference technique
• Strong analytical, statistical and machine learning understanding and the desire to learn more
• Excellent communication skills with the ability to tell compelling stories from the data
• Strong ability to influence, with highly effective negotiation and presentation skills
• Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources
• Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business
• Excellent analytical problem solving capabilities coupled with business acumen
• Well organized and accurate with good time management
• Good networker, able to build up effective relations with internal business partners

Qualifications

• University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.) You are likely to also have a postgraduate or professional qualification with a strong statistical element

At Springer Nature we value the diversity of our teams. We recognize the many benefits of a diverse workforce with equitable opportunities for everyone. We strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.

Visit the Springer Nature Editorial and Publishing website at for more information about our Research E&P career opportunities.