Manager, Data Science/Analytics – Stockholm,Sweden

Full time
Stockholm, Sweden
Posted 2 weeks ago
Job Languages:


We achieve this by gaining a deep understanding of our customers and establishing trustworthy and impactful metrics to track product improvement and user experience changes. We seek to impact the strategy and direction of XXXX mobile developer experience and to provide day to day input on product decisions, big and small. Your team will use mixed methods to study and understand user behaviour, evaluate potential of product initiatives, guide plans and generate ideas. The goal is to advise every decision we make with just the right relevant evidence, metrics, insights and data.

The team you will lead will be composed of data scientists, data engineers, and designers/UX researchers, working in collaboration with other fields to drive product

What you’ll do:
– Lead a team of data scientists, data engineers, and designers/UX researchers, setting
focus, strategy and priorities for the teams work to maximise influence and impact within 3
product areas
– People management responsibilities for 6-9 people
– Ensure data and insights are timely, trustworthy and actionable to drive decisions across
the business
– Work closely with cross-functional teams of product managers, designers, developers and
others across the company passionate about XXXX success!
Who you are:

– Proven experience as a people-manager, for insights, data science, or user research
– An appropriate educational background (e.g. a graduate degree in a social, cognitive, or
natural science, information science, statistics, or computer science)
– You have the technical competence and the people leadership skills to coach team
members in appropriate methodologies, communication style, and technical solutions
– You are a phenomenal communicator, both in writing and verbally, form relationships with a
diverse set of colleagues.
– You are capable of tackling ambiguous problem spaces and challenges, helping your
partners with defining the questions they want answered, specifying methodology and
timelines for their requests. You are also capable of saying no as needed
– Knowledge of relevant methodologies for understanding and interpreting human behavior
and human interactions with technology
– Knowledge of statistics beyond introductory class. At least one course in advanced
statistical methods or equivalent experience
– Experience working with big data, comfortable with SQL and R or Python
Survey methodology and market research experience
– Experience working with “small” or qualitative data-deriving insights from thee data and
supplementing these insights as needed with quantitative data
– Experience with experimentation and experimental design, understand alternatives to
experimentation, and challenges with design, deployment and analysis of AB tests in a large
company setting



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