Hiring Data Scientist - Team Lead @ Anaplan

Anaplan. As the engine behind back-office system connectivity, you might not recognize our name, but our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, and Bayer are just a few of the 2,000+ companies that rely on our best-in-class platform and its native AI capabilities to see, plan, and lead their businesses. By dynamically connecting financial, strategic, and operational plans in real-time, companies trust Anaplan to give them the power to anticipate change, address complexity, deliver operational insights, increase profits, and stay ahead of their competition.

What unites Anaplanners across teams and geographies is our commitment to our customers’ success and our collective motivation to achieve ambitious goals. We champion diversity of thought and ideas, and we behave like leaders irrespective of title. When you work for us, you’ll be part of a winning culture that’s dedicated to creating opportunities for our customers, partners, and employees. We hope you’ll join us. Let’s create something incredible together!

Position Overview:

We are seeking a highly skilled and experienced Data Scientist to join our GTM Operations team. As a Data Scientist with at least 5-7 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.

6. Act as a team lead and oversee the work of junior team members across data science and reporting, ensuring timeliness and quality of work output.

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 a similar industry or domain is highly desirable.

3. Proficiency in programming languages such as Python, R, or similar tools for data manipulation, analysis, and modeling. Specifically:

1. Python programming and data manipulation libraries (e.g., Pandas, NumPy).

2. Machine learning techniques (e.g., regression, classification, clustering, time series analysis) and libraries (e.g., scikit-learn, TensorFlow, PyTorch).

4. Deep understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, time series analysis, and clustering.

5. Ability to create compelling visualizations and present data-driven insights using tools such as Tableau or Power BI.

6. 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.

7. 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. Preferably, has experience overseeing work product and quality of other people.

Our Commitment to Diversity and Inclusion

Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which 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 true 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 correspondences, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcement is to obtain privileged information from individuals.

Anaplan does not:

1. 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.
2. 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 humanresources@anaplan.com before taking any further action in relation to the correspondence.