Senior Data Scientist

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins.

Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role is an immediate full-time position. If you’re ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading.

Insight on your impact

Our PlanIQ Group is responsible for the majority of time-based forecasting algorithmic core of Anaplan’s platform. We create AI based solutions available to Anaplan’s non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions, and relevant insights.

Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet the customer needs.

Among our current challenges are building time series forecast engines, predictive models, enhance user’s experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy.

Your qualifications, your influence

• You will work on one of the top focus projects in the company, influencing the direction of research and development of the entire project.
• Be an integral part of the PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale.
• Work together with other team’s data scientists, ML engineers, backend, and frontend developers.
• Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.).

Preferred skills and technical familiarity

• At least 4 years of proven experience in Data Science.
• Sc./M.Sc. from a leading university, or equivalent experience.
• Applied experience in Time-Series Forecasting including in production environment.
• Theoretical knowledge in other data science domains – Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc.
• Developing and design capabilities (Python), understanding of object-oriented programming.
• Experience with machine learning based solutions in production is an advantage.
• Experience with SQL and databases is an advantage.

Our Commitment to Diversity, Equity, Inclusion and Belonging

Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

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