At a Glance
- Tasks: Lead data science projects and collaborate with teams to drive customer success.
- Company: Join a forward-thinking tech company that values diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to equality and employee well-being.
- Why this job: Make an impact by solving real-world problems with cutting-edge technology.
- Qualifications: 5+ years in data science, strong communication skills, and a passion for technology.
The predicted salary is between 60000 - 80000 £ per year.
You will be operating as a Senior Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.
How you’ll make an impact:
- Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
- Conduct Discovery meetings and learn from the customer and the BDR about the customer’s business requirements and technical environment.
- Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
- Use Dataiku to demonstrate the business value articulated in the usage scenarios.
- Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
- Plan and execute Proofs-Of-Concept (POC) and evaluations through the coordination of resources and the co-development of data science projects with our prospective customers.
- Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
- Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated solution.
- Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and/or partners on campaign design and execution and other activities specified by sales and pre-sales management.
What you’ll need to be successful:
- Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems.
- Experience in the data science, analytics, or big data markets is preferred.
- 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL.
- Programming in Python/R would be a bonus.
- Experience working with cloud infrastructures (AWS, GCP, Azure).
- Experience in Analytics/AI or other enterprise software.
- Experience in technical pre-sales or other client-facing roles (consulting, etc.).
- Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
If you need assistance or an accommodation, please contact us at reasonable-accommodations@dataiku.com.
Protect yourself from fraudulent recruitment activity. Dataiku will never ask you for payment of any type during the interview or hiring process.
Sr Sales Engineer employer: jobr.pro
Dataiku is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to explore their intellectual curiosity and apply technology to solve real-world problems. With a strong commitment to diversity and equal opportunity, Dataiku offers robust employee growth opportunities through hands-on experience in data science and analytics, as well as participation in industry events. Located in a vibrant tech hub, the company provides a dynamic environment for Senior Sales Engineers to thrive and make a meaningful impact on customer success.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Sales Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and sales engineering fields. Attend industry events, webinars, or even local meetups to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects and any relevant demonstrations you've done with Dataiku. This will give you an edge during interviews and help you articulate your value to potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for common interview questions related to sales engineering and data science. Role-play with a friend or use online resources to refine your answers and boost your confidence before the big day.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Make sure to tailor your application to highlight your experience in data science and how it aligns with the role of a Senior Sales Engineer.
We think you need these skills to ace Sr Sales Engineer
Some tips for your application 🫡
Show Your Data Science Passion:Make sure to highlight your enthusiasm for data science in your application. We want to see how your curiosity drives you to solve problems and how you can apply technology effectively.
Tailor Your Experience:When detailing your experience, focus on relevant projects that showcase your skills in predictive modelling and SQL. We love seeing how you've tackled challenges in the data science field!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at jobr.pro
✨Know Your Data Science Stuff
Brush up on your data science knowledge, especially predictive modelling and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your depth of understanding and ability to solve problems.
✨Understand the Customer's Needs
Before the interview, research common challenges faced by customers in the data science field. Prepare to articulate how you can address these issues and demonstrate the business value of your solutions during Discovery meetings.
✨Showcase Your Communication Skills
Since you'll be interacting with various levels of customer teams, practice explaining complex technical concepts in simple terms. This will help you connect with both technical and non-technical stakeholders, making you a valuable asset to the team.
✨Prepare for Technical Demonstrations
Familiarise yourself with Dataiku and be ready to discuss how you would design and execute demonstrations. Think about specific use cases where you can illustrate the application of data science techniques to deliver customer value.
