Job Title & ID: Data Scientist (16WD21739)
In Global Services keeping, and delighting, our Customers is one of our most important tasks. We believe in a complete cycle of customer success, improved revenue, and overall company growth. Our adoption services team are focused on understanding, reporting and improving how our customers can successfully meet their business goals with our technology.
We are seeking an exceptional data scientist to synthesize and leverage our massive dataset of customer data to provide us with timely and integrated views of our customers' usage, support, relationship, and subscription data. This view on our customers allow us to act faster and more decisively on early warning signs of churn. Not only to describe and visualize customer data, but also to extract useful knowledge from it, being able to accurately predict which of our customers are likely to churn and what are the most effective actions we can take to keep them.
This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of Customer Success.
We’re a lean, flat and experimental team combining science and engineering to identify and inject high-value insights into our Customer Success Plan processes at their point of highest impact. The team works in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of barriers to adoption.
What you’ll be doing:
You will advocate, evangelize and build data-fueled “products” that help our customers understand and improve how they use our technology as well as how they work within their industry. You’ll dig in and become an expert on our datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our industry teams. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.
Who we’re looking for:
You have a Bachelor's degree focused on operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
With 5+ years of experience delivering world-class data science outcomes, you can solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills. You’re passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. You have a keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you.
You are expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. You have experience with BI tools such as Tableau.
You desire a fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics.
You should have a focus on deep mathematics skills, be a great researcher; and a strong communicator
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