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Staff Data Scientist

Job Description Our Enterprise Machine Learning team enables better decision making throughout the business. The way in which we support our customers, complimenting our Product capabilities, is data driven and amplified through the use of ML. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our business teams. As a Data Scientist on our team, you’ll be responsible for developing products in collaboration with our Data Analysts, ML engineers, other Data Scientists and business partners, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.This position is part of the Enterprise Data & Analytics team, a high-performance group chartered with delivering a beautifully simple analytics foundation and service that allows Zendesk to scale with clearly defined, consistent metrics and a data architecture that provides all business operations with high quality and timely analytics for optimal decision making. We need a dedicated individual to derive valuable business insights and models which will have a direct impact on our business.Who you are:• You are someone in tune and empathetic with the varying analytical needs of different stakeholders in the organization. Whether it be data analysts, business stakeholders, product owners, or engineers, you understand their unique perspectives and requirements. The ability to strike the right balance among all these stakeholders, while also juggling short-term tasks and long-term scope, is an innate skill that sets you apart as the ideal candidate.• Proactively engage with various stakeholders and engineers and build strong relationships• You are an individual driven by natural curiosity, with a deep passion for bridging the gap between data science, machine learning, and business needs.• Your enthusiasm for machine learning and AI technology is infectious and drives you to explore and innovate continuously.• Possessing great communication skills, you are comfortable and adept at explaining complex concepts to non-technical stakeholders, ensuring understanding and adoption across the organization.What you get to do everyday:• You'll have the chance to uncover new opportunities with various stakeholders.• You'll play an active role in determining the scope of these opportunities and lead the effort in estimating the resources and time required to bring these opportunities to fruition.• Utilize statistical analysis and machine learning to address complex business issues and formulate data-driven solutions.• You'll define and align key metrics related to the efficiency and effectiveness of AI/ML systems based on business impact. You'll monitor these metrics, identify any potential issues, and proactively suggest solutions to enhance performance.• Liaise with cross-functional teams to understand and accommodate their needs in data processes and AI/ML solutions.• Implement and promote best practices regarding data contracts to optimize data integrity, security, and compliance.What you bring to the role:• BA/BS degree in Computer Science, Data Science, Statistics, or a related field (advanced degree is a plus).• Highly experienced data scientist with a minimum of five years in the field.• Skilled in qualitative analytics, predictive modeling, and statistical computer languages like R, Python, SQL.• In-depth understanding of machine learning techniques, such as deep learning, recommender systems, embedding and LLM.• Experienced in working in cross-functional team environments.• Demonstrated problem-solving skills and business acumen applied to real-world business solutions.• Ability to effectively communicate complex data science concepts to non-technical stakeholders.The US annualized base salary range for this position is $155,000.00-$233,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.The intelligent heart of customer experienceZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
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Average salary estimate

$194000 / YEARLY (est.)
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$155000K
$233000K

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What You Should Know About Staff Data Scientist, Zendesk

Are you ready to take your career to the next level as a Staff Data Scientist with Zendesk in Washington, DC? Join our Enterprise Machine Learning team, where we focus on empowering business decisions through data-driven insights and cutting-edge machine learning technology. You will collaborate with a talented group of data analysts, ML engineers, and business partners to create high-quality ML and AI products that make a meaningful impact. Your role will have you engaging proactively with various stakeholders to understand their unique analytical needs and help them navigate complex data issues. With a strong foundation in predictive modeling and machine learning techniques, you’ll leverage your skills to uncover opportunities and deliver innovative solutions that drive business success. Working within a high-performance team, you'll not only define key performance metrics related to AI/ML systems but also ensure they stay aligned with business objectives. Equipped with exceptional communication skills, you’ll be the bridge between technical concepts and non-technical stakeholders, ensuring your insights are adopted across the organization. If you're passionate about machine learning, data science, and making data actionable in a business context, this is your chance to shine!

Frequently Asked Questions (FAQs) for Staff Data Scientist Role at Zendesk
What does a Staff Data Scientist at Zendesk do?

As a Staff Data Scientist at Zendesk, you’ll engage with various stakeholders to develop machine learning products that address complex business challenges. Your responsibilities include statistical analysis, defining AI metrics, and collaborating with cross-functional teams to enhance data-driven decision-making.

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What qualifications are required for a Staff Data Scientist role at Zendesk?

To qualify for the Staff Data Scientist position at Zendesk, you should possess a BA/BS degree in Computer Science, Data Science, or a related field, with at least five years of experience in data science or a similar role. Moreover, proficiency in statistical programming languages like R, Python, and SQL, along with a firm grasp of machine learning techniques, is essential.

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What can I expect in terms of collaboration as a Staff Data Scientist at Zendesk?

In your role as a Staff Data Scientist at Zendesk, you'll find yourself collaborating closely with data analysts, ML engineers, and product owners. This job requires you to balance various stakeholder needs while being proactive in building strong relationships, ultimately contributing to the development of valuable data-driven solutions.

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How does Zendesk ensure the professional development of its Staff Data Scientists?

Zendesk prioritizes the growth of its employees, offering opportunities for continuous learning, mentorship, and collaboration within cross-functional teams. As a Staff Data Scientist, you'll have access to resources that support your development journey and help you stay on the cutting edge of machine learning and data science.

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What is the compensation range for a Staff Data Scientist at Zendesk?

The compensation range for a Staff Data Scientist at Zendesk varies between $155,000 and $233,000, depending on experience and skills. Additionally, employees may be eligible for bonuses, benefits, and other incentives related to their performance.

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Common Interview Questions for Staff Data Scientist
Can you explain your experience with machine learning techniques?

When answering this question, detail your familiarity with specific techniques such as deep learning or recommender systems. Provide examples of projects where you applied these techniques, and discuss the impact they had on the business outcomes.

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How do you prioritize stakeholder requirements in data science projects?

To effectively answer this, explain your method for assessing stakeholder needs by engaging regularly with them. Highlight your ability to mediate among different interests while keeping the project's objectives aligned with business goals.

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Describe a challenging data problem you solved and the impact it had.

Share a specific project where you encountered significant challenges. Detail the problem-solving process you used, the tools and techniques involved, and the successful results that followed, emphasizing the business value created.

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How do you communicate complex data concepts to non-technical teams?

To address this, you could discuss your approach to simplifying complex concepts into relatable terms, using visualizations, and examples to facilitate understanding. Highlight your experience in empathetic communication.

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What statistical analysis techniques do you find most useful in your work?

In your response, list specific statistical techniques you’ve used, such as regression analysis or hypothesis testing, and explain how these have been applied in your past projects to yield actionable insights.

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What tools do you use for data analysis and reporting?

Discuss your proficiency with tools like Python, R, SQL, or Tableau. Provide examples of how these tools helped you gather insights and make data-driven recommendations or reports.

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How do you stay updated on the latest trends in data science and machine learning?

Explain your methods for staying current, whether through attending workshops, online courses, or following leading publications. Show your enthusiasm for continuous learning in the quickly evolving field of data science.

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Can you give an example of a time you worked in a cross-functional team?

Illustrate your teamwork skills by describing a specific situation where collaboration was key to project success. Mention your role and how you facilitated communication among different functions to achieve a common goal.

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What key metrics do you consider for assessing the effectiveness of AI/ML models?

Discuss quantitative metrics such as precision, recall, F1-score, or ROC-AUC that you regularly monitor. Provide examples of how you’ve used these metrics to evaluate and enhance model performance in past projects.

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What inspired you to become a data scientist?

Share your personal journey, detailing an experience or moment that sparked your interest in data science. Emphasize your passion for problem-solving in a business context and your commitment to leveraging data for impactful insights.

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Zendesk is a Danish-American, customer experience company headquartered in San Francisco, California. We take pride in being recognized among the top 1% of the world's most flexible and remote-friendly companies and prioritizing getting together.

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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Customer-Centric
Social Impact Driven
Passion for Exploration
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
401K Matching
Paid Holidays
Paid Time-Off
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Full-time, hybrid
DATE POSTED
December 15, 2024

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