Senior Business Data Scientist - Data & Transformation services

Ekimetrics

Paris

Hybrid

EUR 90,000 - 130,000

Full time

10 days ago

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Benefits offered by this job

Private gym
Art exhibitions & concerts
CSR challenges on Vendredi
Modern premises
Flexible working-from-home policy

Job summary

Ekimetrics is seeking a Senior Business Scientist to join the Data & AI Transformation Services. You will bridge business, consulting, AI and data expertise, framing high-value use cases and driving AI opportunities from ambition to MVP.

You will work with AI, Data, and Software Engineers, owning product vision and backlog while guiding delivery and governance. You will contribute to adoption, value measurement, and strategic roadmaps across client engagements.

Qualifications

  • Led client engagements and coordinated cross-functional teams.
  • Owned product vision, backlog, and agile delivery for data/AI initiatives.
  • Experienced presenting to senior sponsors and executives.

Responsibilities

  • Lead day-to-day client relationships with sponsors and understand strategic challenges.
  • Frame high-value Data & AI use cases and translate needs into opportunities from roadmap to MVP.
  • Act as Data & AI Product Owner: manage vision, backlog, user stories, and governance.
  • Align AI roadmap with leadership and ExCo; drive adoption and value realization.
  • Measure adoption, value, and governance, challenging feasibility and industrialization.
  • Contribute to Transformation Cockpit with KPIs and ongoing AI value steering.
  • Work in a multidisciplinary squad and tailor templates to each client.
  • Coordinate the business side of the squad and monitor delivery and profitability.

Skills

Client leadership
Product ownership
Stakeholder management
Hybrid business-tech

Job description

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability.

With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.

We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.

You join as Senior Business Scientist within our Data & AI Transformation Services (DATS). You bridge business, consulting, AI & data expertise: you frame high-value use cases, turn business needs into AI opportunities, and drive adoption. You work alongside AI, Data and Software Engineers.

Clients' Projects
  • Lead the day-to-day relationship with business and CDO/CIO sponsors, and understand their strategic and operational challenges.
  • Frame high-value Data & AI use cases and translate business needs into AI opportunities, from AI ambition and roadmap to Proof of Value and MVP.
  • Depending on the engagement, act as Data & AI Product Owner: own the product vision and backlog, prioritize with business sponsors, write and accept user stories, steer the squad's delivery with the Tech Lead from Proof of Value to MVP and production, and own the related delivery governance and planning.
  • Align business teams, leadership and ExCo around the AI roadmap and the transformation priorities.
  • Own the business value and adoption of the solutions built by the squad: operating model, usage, impact measurement, Responsible AI and governance. Challenge their feasibility and industrialization with the Tech Lead and the Tech Engineers; you do not build the models yourself, but you are technical enough to challenge and steer GenAI, LLM, agentic and ML solutions.
  • Contribute to the Transformation Cockpit: maturity measurement, adoption KPIs and steering of AI value over time.
  • Work within a multidisciplinary squad (Tech Lead, AI/Data/Software Engineers), apply Ekimetrics' DATS methods, templates and deliverables, and tailor them to each client.
  • Coordinate the business side of the squad and monitor delivery and profitability with manager support.
Strategic Projects
  • Develop and share best practices, methodologies and DATS assets (how-tos, templates, typical deliverables) across the Data & AI Transformation community.
  • Stay up to date with AI, GenAI, ML and agentic technologies, and with their impact on business models and operating models.
  • Contribute to internal AI initiatives, accelerators and thought leadership.
Business Development
  • Identify opportunities for Data & AI transformation within existing client accounts (upsell and cross-sell).
  • Contribute to account development, renewals and project scoping, alongside the Partner.
  • Contribute to RFPs, proposals and pitches.
  • Support the development of new DATS offerings and use cases.
Transversal & People Development
  • Contribute to recruitment, onboarding and development of Data & AI Transformation talent.
  • Mentor and coach Junior Business Scientists and interns.
  • Develop and deliver internal AI / Data training and knowledge-sharing sessions.
Profile
  • Senior level: you have already led client engagements, coordinated a team and contributed to business development.
  • Hybrid business-tech profile: you can connect business value, data, AI/GenAI, technology and adoption, and talk credibly with both sponsors and engineers.
  • Proven product ownership experience on data or AI products (backlog, prioritization, agile delivery).
  • Experience facing senior stakeholders and driving change or transformation, beyond the delivery of pilots.
Why join us?

At Ekimetrics, we believe your ideas truly matter. Here, your ideas are yours to build and bring to life. We embrace an entrepreneurial spirit, encouraging you to push boundaries to achieve meaningful impact. But it’s not just about individual success—we thrive on collaboration and enriching one another.

Together, we’re constantly learning and growing, whether through personalized career paths and training, challenging projects, mentorship, or simply through the diverse perspectives we bring to the table.

And perhaps more importantly, we believe in enjoying what we do. Ekimetrics is a stimulating and safe environment where you can thrive as your authentic self.

In 2023, Ekimetrics obtained the “mission-driven company” status, reflecting our strong commitment to CSR.

Our purpose: Accelerate organizations’ transformation towards sustainability, through the application of data science and artificial intelligence.

We were also certified Great Place to Work in France, the United Kingdom, and the United States in 2023, and our Hong Kong office received the Best Companies to Work for in Asia 2023 award.

Ekimetrics is part of the French Tech 120 ranking. We have been selected by La French Tech to join the prestigious group of the top 120 French scale-ups, recognized for their potential to become international leaders.

You will have access to:
  • The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs, learning paths on our digital platform, as well as programs dedicated to our priority challenges, including awareness of environmental issues with the Climate School;
  • A sporty, artistic, musical, playful, charitable, and committed life: from our private gym to art exhibitions, video games, and concerts, or even CSR challenges on our dedicated platform (Vendredi);
  • Many events and seminars to stay close to your community;
  • Modern premises in a dynamic area of the city;
  • Flexible working-from-home policy.

As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.

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