Sales Data Scientist

Job description

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused 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 who 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 love celebratingour wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

Position Overview:

We are seeking a highly skilled and experienced Sales Data Scientist to join our GTM Operations team. As a Sales Data Scientist with at least 5 years of work experience, you will play a key role in driving data-driven decision-making, developing advanced analytical models, and providing actionable insights to support Anaplan’s aggressive growth targets. You will be comfortable working independently and proactively to coordinate with our internal business teams (customers) and internal data providers to seek clarification and resolution when data provided does not meet the business requirements.

You will work with GTM Operations internal customers such as Sales, Marketing, Customer Success, and Finance to translate business insight needs into robust, in-depth analysis and then refine into a repeatable, production-ready capability. You will work with a combined team of Business Systems Architects, Business Systems Analysts and Sales Operations to keep our Go-To-Market programs world-class.

What you will do:

1. Apply advanced statistical and machine learning techniques to analyze large datasets, extract valuable insights, and develop predictive models to support our GTM activities covering sales, marketing, and customer success.
2. Collect, clean, and transform raw data from various sources to ensure data quality and integrity. Perform exploratory data analysis to understand trends, patterns, and relationships that can drive actionable recommendations.
3. Design, build, and deploy predictive models using machine learning algorithms and statistical methodologies. Evaluate model performance and iterate as necessary to improve accuracy and effectiveness.
4. Work closely with GTM cross-functional team to identify and define data requirements, goals, and success criteria and collaborate on the integration of data-driven solutions into existing systems and processes.
5. Communicate insights and findings: Present complex data analysis results and actionable insights in a clear and concise manner to both technical and non-technical stakeholders. Effectively communicate the value and implications of data-driven recommendations to drive informed decision-making.

What you bring to the table:

1. Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Master’s or Ph.D. in a relevant field is a plus.
2. A minimum of 5 years of professional experience in data science, including hands-on experience in statistical analysis, machine learning, and predictive modeling. Previous experience in technology companies is a must.
3. Proficiency in programming languages such as Python, R, or similar tools for data manipulation, analysis, and modeling. Specifically:
4. Python programming and data manipulation libraries (e.g., Pandas, NumPy).
5. Machine learning techniques (e.g., regression, classification, clustering, time series analysis) and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
6. Deep understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, time series analysis, and clustering.
7. Ability to create compelling visualizations and present data-driven insights using tools such as Tableau or Power BI.
8. Strong analytical and problem-solving skills with a keen attention to detail. Ability to think creatively and develop innovative solutions to complex business challenges using data-driven approaches.
9. Proven ability to work collaboratively in a global, cross-functional team environment, including collaborating with stakeholders in a remote capacity. Excellent interpersonal skills and the ability to effectively communicate and influence others.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. 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.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:

• Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
• Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.