Sr Data Scientist

Dataiku; New York (NY); On-site; USD 210,000 - 220,000; Full time

Benefits offered by this job

Stock options

Medical coverage

Dental coverage

Vision coverage

401k match

Paid time off

Parental leave

Disability insurance

Wellbeing programs

Job summary

Dataiku is seeking a Data Scientist to help customers operationalize AI and co-develop production-scale data science projects on the Dataiku platform. You will train users, analyze ML applications, and collaborate with account teams across industries.

The role emphasizes teaching and sharing knowledge, with opportunities to mentor colleagues and advance data science conversations with customers.

Qualifications

• Over 5 years of experience with coding (Python, R, SQL).
• Over 5 years of experience building ML models.
• Understanding data systems and platform mechanics (Cloud, Kubernetes, Spark, SQL).

Responsibilities

• Provide training and consultative support to users to master the Dataiku platform.
• Analyze data and ML applications across industries and use cases.
• Offer strategic input to customer and account teams to drive customer success.
• Scope and co-develop production-level data science projects with customers.
• Mentor data scientists and other customer team members for career growth.

Skills

Python

R

SQL

ML model development

Cloud architectures

Data analysis

Communication

Mentoring/training

Consulting experience

Tools

Kubernetes

Spark

Dash

RShiny

APIs

Job description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

The role of a Data Scientist at Dataiku is unique. Our Data Scientists develop solutions to real-world problems and participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so are technical skills. Our Data Scientists work on the Dataiku platform daily. Aside from the visual tools, our team mostly uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach customers data science, how to use the Dataiku platform, and learn about new technologies.

How You'll Make An Impact

• Help users discover and master the Dataiku platform via user training, office hours, demos, and ongoing consultative support.
• Analyse and investigate various data and machine learning applications across industries and use cases.
• Provide strategic input to the customer and account teams to help our customers succeed.
• Scope and co-develop production-level data science projects with our customers.
• Mentor and help educate data scientists and other customer team members to aid in career development and growth.

What You'll Need To Be Successful

• Curiosity and a desire to learn new technical skills
• Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public
• Ability to clearly explain complex topics to technical as well as non-technical audiences
• Over 5 years of experience with coding (Python, R, SQL)
• Over 5 years of experience building ML models
• Understanding underlying data systems and platform mechanics, such as Cloud architectures, K8S, Spark, and SQL

What Will Make You Stand Out

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience developing WebApps in JavaScript, RShiny, or Dash
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

Compensation And Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges

$210,000 - $220,000 USD

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: [e-mail]