Sr Data Scientist New United States, Remote

Dataiku; Snowflake (AZ); Remote; USD 190,000 - 220,000; Full time

Job summary

A leading company in AI solutions seeks a People Team Data Scientist to transform data into insights through advanced analytics. The role involves collaboration across teams to optimize employee engagement and support strategic decisions, using the Dataiku platform and various data tools. Ideal candidates will have a strong background in data science within HR, with excellent problem-solving and communication skills.

Benefits

Comprehensive benefits package including stock options

401k company match

Paid vacations and sick leave

Paid parental leave

Employer paid disability coverage

Flexible spending accounts

Qualifications

• Proven experience as a Data Scientist, preferably in HR.
• Strong proficiency in SQL and Snowflake.
• Experience with Tableau or Power BI.

Responsibilities

• Define People Team Data problem statements and governance models.
• Manage collaboration and maximize GenAI capabilities.
• Analyze employee lifecycle metrics for strategic initiatives.

Skills

Data analysis

Data governance

Reporting and analytics

Problem-solving

Communication

Attention to detail

Education

Bachelor’s degree in Data Science

Master’s degree preferred

Tools

SQL

Snowflake

Tableau

Power BI

Dataiku DSS

Job description

Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

About Us:

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

Job Summary:

We are seeking a skilled and analytical People Team Data Scientist to join our team. The ideal candidate will be responsible for transforming our data into actionable insights through advanced reporting and analytics using our People Team tech stack and our own Dataiku Data Science Solution (DSS) platform. This role will involve collaborating with various internal functions within the People Team and with the broader Enterprise Data, Finance, and Platform Strategy teams to enhance decision-making processes, optimize employee engagement, and drive strategic initiatives.

Key Responsibilities:

Program Development and Management:

• Foundational Work:
• Define the People Team Data problem statement, including key areas to measure (across employee lifecycle) that provide insights and actionable intelligence.
• Partner with Dataiku’s Enterprise Data and Analytics Team Center of Excellence to:
• Build a People Team Data Governance Model (creation through disposal) including identifying Sensitive (confidential) and Controlled (for intended approved use-only). Structure access to visualization outputs
• Audit People Data Before Operational Step
• Understand Data Workflows / Transactions/ Processes in Systems
• Build a Data Dictionary (source, contents, format, structure, calculations, and use)
• Tap into the Replication on the EDA side (systems, databases)
• Access the Data Warehouse(s)
• Operational Work
• Adopt and use DSS to:
• Exploration, analysis, trends, patterns, actions for Leadership, People Manager, and People Team consumption. This includes identifying and revealing key organizational health metrics and analysis across the employee lifecycle.
• Manage Collaboration and stakeholder engagement
• Maximize GenAI capabilities for ease of access and to reduce friction

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Human Resources, Business Analytics, or a related field; Master’s degree preferred.
• Proven experience as a Data Scientist, preferably within the HR domain.
• Proficiency in data analysis tools and databases such as SQL and Snowflake
• Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling reports and dashboards.
• Strong understanding of HR metrics and analytics, with the ability to translate data insights into actionable recommendations.
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Knowledge of HR systems (e.g. Workday) and data management practices.

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

$190,000 — $220,000 USD

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .

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]

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activityhere.

Apply to the general opportunities job offer.

Our team is our most treasured asset. No matter what way you choose to look at it, there would be no Dataiku if it weren’t for the great people who work here.