Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

The opportunity: 

Enterprises are shifting from using data for insight to deploying AI for continuous, high-stakes operational decisions. In many core functions, such as manufacturing operation, supply chain, and financial risk, decision logic has long escaped core systems into fragile custom code and manual processes. Agentic AI intensifies the pressure to change — but also exposes the limits of existing architectures: agent sprawl, rising costs, governance risk. Adding agents on top of legacy workflows does not scale.

This creates a new category above agents: Reasoning Systems — domain-specific, end-to-end decision processes that orchestrate data, models, rules, agents, and human judgment around explicit business workflows. Dataiku is uniquely positioned to lead it: already embedded at the data and ML layer of complex, regulated environments, operating as an open control plane across systems, clouds, and AI stacks.

The role: 

Dataiku is hiring a VP of Reasoning Systems to scale this business unit based on newly released products. This is a function across Strategy, Product, Marketing, Sales, and Operations. You will define the category, design the go-to-market and delivery model, and run the business with full accountability for growth.

Directly, you will lead a team of 10+ seasoned Industry Solutions leaders— domain experts already embedded with customers across manufacturing, supply chain, and financial risk. Indirectly, you will benefit and leverage the exceptional talent in Dataiku data science, AI Engineering, and Software Engineering teams to build the best product and customer experience. 

Given the long term perspective we associate with this activity you will report to the Product organization, with significant direct work with the CEO of the company, and other C-level executives.

What you will do:

• Define the category

Own Dataiku's Reasoning Systems vision, positioning, and narrative — internally and with customers, analysts, and the market.

Set vertical priorities (Manufacturing Operations, Supply Chain, Financial Risk first) and the framework for expanding to new domains.

Be the external face of the category: executive briefings, keynotes, analyst engagements.

• Lead the Go-To-Market

Design the pilot-to-system commercial model: time-boxed pilots with upfront conversion criteria tied to production pricing.

Define the buyer profile (CIO, COO, Domain Leaders), funding sources, sales plays, and qualification criteria. Launch with existing customers; expand once repeatability is proven.

• Build the Delivery Model

Define the engagement model combining productized orchestration, governance, and human-in-the-loop control with structured services generating repeatable, scalable assets, not bespoke consulting. Leverage capacity from our vast pool of  engineering and services talent.

• Drive the Product Roadmap

Partner Product and Engineering to deliver the Reasoning Systems product layer: process orchestration, activity controls, evaluation frameworks, governance tooling, and human-in-the-loop oversight.

• Manage and grow the Team

Lead a team of 10+ Industry Solutions leaders and AI Solutions Consultants — seasoned domain experts across the target verticals.

Set team structure, staffing plans, and skill roadmap aligned to strategic priorities. Create the conditions for each person to do their best work.

Build a product management mindset across the team: every engagement should produce something reusable.

• Engage at the Executive level

Lead key customer executives conversations to drive opportunities and high impact transformation delivery Engage with market events to forge awareness and thought leadership on reasoning systems

• Own the Business

Own Reasoning Systems revenue, costs and growth targets. Reasoning Systems is a global multi-billion opportunity in enterprise transformation, and you have the task to create a new pillar of the company business.

Who you are : 

• You operate at C-suite level and can drive decision-making on high-stakes, ambiguous programs.
• You are a doer: as comfortable going deep on a deal or a delivery challenge as you are setting strategy.
• 20+ years at the intersection of business process transformation and enterprise technology — you understand what real operational AI deployment looks like for the largest, most demanding companies in the world. 
• You have built and scaled a new business, product line, or category at a technology company. You know how to go from zero to repeatability.
• You have led a consulting or solutions delivery activity and understand the discipline required to balance services delivery with product scalability.
• You have driven software product roadmaps and understand what it takes to ship ambitious, multi-stakeholder technology programs.
• Outstanding communicator — able to shape and deliver compelling narratives to technical and business audiences alike.

#LI-JR1

Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced rapid growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.

What you'll need to be successful -

• 10+ years experience in software field sales
• Fluent in Spanish
• Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
• Background in selling innovation and new concepts to large Enterprises
• Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
• Good articulation of competitive positioning
• Comfortable traveling 30 to 50%
• Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
• Early start-up experience is a plus!

#LI-LP1

We're looking for an AI Healthcare & Life Science Solutions Consultant to join Dataiku’s Business Solutions department with a strong focus on supporting US business expansion. The role reports to the Health & Life Science Sr. Director. Your mission will be undertaken in close partnership with Dataiku’s broader Business Solutions team, including the Life Sciences Solution AI Engineers, as well as with Dataiku’s core teams: Sales, Customer, Partnership, Product and R&D.

You will support three essential missions: 

(1) Feed our strategic vision towards Healthcare & Life Sciences and how to further accelerate  our growth in this industry. This will involve developing a deep understanding of Dataiku’s footprint, strong convictions as to analytics, ML and agent value for priority domains, current and target positioning in the ecosystem, and supporting the right plans to meet our ambitions. 

(2) Be a  Dataiku SME on Healthcare & Life Sciences, and act as a gap bridger between precise industry needs, AI and Dataiku as a product. You will directly support clients and prospects as a trusted expert and support the development of the right assets and engagement support to boost GTM effectiveness in Life Sciences. In practice, you will:

• Support sales and customer activities on Life Sciences: help customer dynamics understanding, act as a key spokesperson for prospects and customers, supporting executive engagement building. 
• Articulate the specific value proposal of Dataiku for Life Sciences, and enable internal client facing teams in its articulating. 
• Leverage the capitalization of internal knowledge and client experiences on Life Sciences (adoption stories, use-cases, …) and contribute to development of relevant material.
• Boost Dataiku’s visibility on Life Sciences as an industry, as well as engage in the  execution of an impactful thought-leadership strategy. 
• Drive high impact Customer Engagements with key decision makers in Healthcare & Life Sciences accounts. 

(3) Contribute to  the identification, scoping, and successful roll out of Dataiku Solutions aligned to Healthcare and Life Sciences needs, with the goal of maximizing Dataiku’s value delivery. 

• Fuel the Solutions development pipeline through business experience, client workshops, market watch, partnership discussions. 
• Partner with the Solutions taskforce (Product, R&D, UX, Partnerships, Data Scientists …), jointly with the HLS Sr. Director,  in ensuring prompt development of  relevant projects, which could include: off-the-shelf solution design, customer-specific solutions, feature and application development, …
• Support general push on AI Solutions offering by contributing to  relevant documents, to enablement of teams, to customer interactions, to GTM material, …

Who you are:

• 10+ years experience in Healthcare and/or in Life Sciences, with a confirmed appetite for data, analytics and AI impact in the sector. You have worked within Healthcare and/or Life Science organizations, preferably in the US, and have owned the successful delivery of AI projects or built technology towards this objective. 
• You have a preciseunderstanding of Healthcare & Life Sciences value chain, including complex processes and regulations involved in health provider organizations like large hospital networks or specialized care centers and health payers, sophisticated frameworks embedded in pharma companies from R&D and Clinical Operations teams to sales force effectiveness.
• You have the capacity to adjust your communication to experts and non experts. You are passionate about people empowerment with data and AI. 
• Strong Business Development mindset: you understand the ins and outs of software acquisition, and are able to support plans towards business development ambitions. Experience in acquiring software in a Healthcare or Life Sciences organization and managing vendor relationship will be a plus.
• Solid solution management experience, with the capacity to outline user journeys, scope use-case, and support development end-to-end including organizing customer co-builds, testing and reviews. You will be involved in conducting detailed feature/solution scoping and validation. 
• Precise and effective in describing the continuum of ways in which data, analytics and AI can add value, from automation, pipelines and dashboards to machine learning and Generative AI. You have good understanding of agents and are able to project their potential as well as  evaluate their ROI.
• Proven track record working with diverse teams, and successfully engaging them on complex or specialized topics.
• Excellent communication skills (both written and oral), able to clearly articulate and present complex situations and concepts to varied audiences.
• Based in AMERICAS and able to travel both within that region (20% of the time) and occasionally  to other continents. 

#LI-JR1

Dataiku is looking for an experienced Strategic Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

As a Strategic Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.

What you'll need to be successful -

• 10+ years experience in software field sales

• Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions

• Background in selling innovation and new concepts to large Enterprises

• Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions

• Good articulation of competitive positioning

• Comfortable traveling 30 to 50%

• Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration

• Early start-up experience is a plus!

#LI-LP1

 

Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.

What you'll need to be successful -

• 10+ years experience in software field sales
• Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
• Background in selling innovation and new concepts to large Enterprises
• Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
• Good articulation of competitive positioning
• Comfortable traveling 30 to 50%
• Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
• Early start-up experience is a plus!

#LI-LP1

If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.

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 and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value.
• Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. 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 or evaluated solutions.
• 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
• 6+ years' experience in technical pre-sales, preferably in a high-growth environment
• Experience in the data science, analytics, or big data markets preferred but not required
• Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
• Comfortability talking to all levels of customer teams from individual contributors to C-level executives
• Experience in Analytics/AI or other enterprise software
• Previously worked in a fast paced, growing company
• Currently located within MDT and PST timezones for West region

Dataiku is focused on delivering meaningful outcomes with business analytics, AI/ML, and Gen AI. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement.

In this founding role for our Lower Enterprise segment, you will be the first CSE hire dedicated to customers with annual revenues between $1B and $10B. Covering all customers across AMER, we are looking for creative problem-solving to help build scalable frameworks that support a high volume of accounts. This role offers high flexibility and high expectations, as you will define the segment's strategy and help pave the way for future continental leadership opportunities.

How You’ll Make an Impact

• Define the Blueprint: Help define the role, building programs and automations for repeatable, scalable use across AMER.
• Scale through Innovation: Develop and A/B test enablement programs to identify the most effective ways to drive user adoption and satisfaction at scale.
• Technical Enablement: Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers.
• Drive Adoption: Focus on onboarding and increasing user retention by educating customers on best practices within the Dataiku platform.
• Strategic Advisory: Establish regular touchpoints to advise users on applying Dataiku to their specific business needs and use cases.
• Evangelism & Use Case Documentation: Execute programs to create self-sustaining enablement and "communities of practice" within customer accounts, capture and document client use cases and stories to share the impact of their work.
• Expansion & Growth: Collaborate with Account Executives and Sales Engineers to identify expansion opportunities that drive additional value.
  
  

What You’ll Need to Be Successful

• Foundational Experience: 0-1 years in sales engineering, technical consulting, or data science roles with a track record of customer satisfaction.
• Entrepreneurial Mindset: Ability to navigate ambiguity, build consensus, and work with urgency to define a new segment's success.
• Communication Excellence: Strong written and oral presentation skills, with the ability to tailor messaging to both no-code and high-code users.
• Public Speaking: A knack for engaging with all levels of customer teams, from individual contributors to leadership.
• Travel: Willingness to travel up to 25% across the AMER region.
  
  

What Will Make You Stand Out

• Technical Proficiency: Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, or SQL.
• Platform Certifications: Dataiku Advanced Designer, Snowflake SnowPro Core, or Databricks Business Analyst certifications.
• Strategic Vision: Experience building and operating communities of practice or scalable post-sales programs.
• Intellectual Curiosity: A never-ending desire to learn new solutions and translate features into business value.

#LI-AH1

Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

Dataiku is looking for an Engagement Manager to join the team. The ideal candidate is an energetic individual who is passionate about deploying big data technologies and using data science to solve business problems, and who will efficiently help customers drive their projects to get the most out of Dataiku.   

As a part of the Services team, the Engagement Manager is responsible for driving smooth client implementations of our product with our customer base. It requires skilled coordination of the deployment, training, and adoption of best practices, positioning users to derive the maximum value from the software, contributing to their data-driven operational success. 

How you’ll make an impact

• Manage client relationships, needs, and oversee implementation services estimation, delivery, and controls across multiple engagements.
• Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently.
• Manage Project Budget, Margin, Scope, and Schedule within initial parameters.
• Independently identify internal and external project risks and provide fit-for-purpose mitigations.
• Assess customer feedback and refine products and service offerings with internal owners and providers.
• Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads
• Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability.
• Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination.

What you’ll need to be successful

• Have 2-5 years’ of experience leading project teams and-or cross-functional projects.
• Are organized, ambitious, and take ownership when relevant and delegate as needed.
• Have a Bachelor’s or Military experience in a related field.
• Have an excellent understanding and practical experience with modern project management methodologies and software engineering processes.
• Have excellent communication skills.
• Thrive in the executing and iteration of efficient processes.
• Can identify, manage, and mitigate risk, contingencies, reporting, and operations.
• Can leverage lessons learned to feedback and improve process and best practices.
• Can highly collaborate with partners, internal team members, consultants, third-party sellers, and customers.
• Location: Must be currently located within either the EST or CST regions of the United States.

 What will make you stand out

• Master's Degree in Computer Science or STEM degree program or equivalent combination of skills and experience.
• Data science degree or background in previous roles
• Previous Services experience in a SaaS company.
• Project Management/Scrum certifications (CAPM, PMP, etc).

#LI-Remote

The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

Key Areas of Responsibility (What You’ll Do)

• Scope and co-develop production-level data science projects with our customers across different industries and use cases
• Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
• Provide strategic input to the customer and account teams that help make our customers successful.
• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
• Lead technical data science projects pre-sales scoping and design appealing proposals
• Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
• Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
•  Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
• Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
• Lead Junior Data Scientist technical interview
• Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

Experience (What We’re Looking For):

• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• Over 5 years of experience with Python and SQL
• Over 5 years of experience with building ML models and using ML tools (e.g., sklearn)
• Experience with LLMs
• Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
• Understanding of underlying data systems such as Cloud architectures and SQL
• Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field
• Location: Must be located within the CST, MST, and PST time zones

Bonus points for any of these:

• Experience using Dataiku DSS
• Experience with Consulting and/or Customer-facing Data Science roles
• Experience in the Manufacture & Defense sector
• Experience with Data Engineering or MLOps
• Experience developing WebApps in Javascript
• Experience building APIs
• Passion for teaching or public speaking