Full Job Description
Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance.
If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics!
At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our 'MMO' offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact.
Key figures about Ekimetrics
• 400+ data science experts globally
• 1000+ diverse projects & 350+ clients
• 4 offices: Paris, Hong Kong, London and NY
• UK data company of the year 2023
• Voted Great Place to Work 2023
• Microsoft's sustainability partner
• Voted as a leader in "Marketing Measurement & Optimization" by Forrester wave 2023
About the Role:
As a Senior Data Scientist at Ekimetrics, you will be leading challenging projects with international blue-chip clients across multiple industries (Auto, Beauty, Retail, QSR, Financial Services, Telecom, etc.), building bespoke analytics solutions to answer the key questions, consulting findings, including high-profile results for senior executives.
The primary focus of the Senior Data Scientist's work will be to lead project teams and ensure that we are delivering highly valuable, effective data science solutions that meet the client's needs, and driving high client value. You will also be supporting the Managers+ to engage and manage clients, build commercial proposals and add to our commercial viability by helping to find the right balance between project profitability and excellence in delivery.
Senior Data Scientists will be working in teams of 3 to 6 consultants, on 2 to 3 projects simultaneously, and involved throughout the whole project lifecycle, from discovery meeting all the way through to final recommendations. That means gathering and analyzing data, building statistical models, and translating quantitative insights into actionable strategic recommendations, and delivering the results as a persuasive story.
The successful candidate will conduct themselves as an Eki ambassador, supporting the development of junior colleagues and actively engaging in transversal topics, such as thought leadership, innovation streams, knowledge management, and recruitment. They will also be expected to:
• Showcase both business and data science skills
• Develop junior members of the team to do high impact work across core areas of the clients' businesses.
• Beyond projects, drive development of internal initiatives, related to innovation, knowledge management, HR, commercial, etc.
• Show curiosity for Digital and Marketing Strategy and Marketing Measurement methodologies.
Responsibilities
1. Business Operator:
- Design and scope new projects, fitting the right analyses to the client questions
- Ensure client's business case is achievable and Ekimetrics has appropriate ability to influence promised outcomes
-Ensure credibility of models and results while being able to provide technical support to more junior team members
- Perfect delivery - ensure high client satisfaction and make sure that issues are raised and resolve in a timely manner with no surprises
- Present actionable and easy to understand findings, and drive high levels of adoption within client organizations
- Support client retention and new business opportunities
2. Project Management:
- Actively work with team to identify actions to improve client engagements
- Retain top performers and support the development of future leaders at Ekimetrics
- Proactively resolve potential issues in a project before they arise and identify actions to improve client engagements.
- Contribute to the development of junior consultants through knowledge sharing and mentorship
- Provide visible sponsorship to recruiting, retaining & engaging diverse talent in your organization
3. Ekimetrics Life
- Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques for the office, etc.
Qualifications:
The successful candidate will have a balance of marketing/business strategy understanding, client-facing consulting experience, and significant data and analytics expertise. The work will be rooted in the creation of innovative analytic engagements for clients.
Quantitative Skills:
- A Bachelor or Master's degree in a quantitative discipline such as statistics, applied mathematics, computer science, economics, operations research or business (MBA) from a leading academic institution is preferred
- 3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
- Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis) to answer business questions
- Digital and Marketing strategy curiosity
- Experience with statistical software such as Python, R, etc.
Consulting Skills:
- Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
- Excellent communication skills - especially translating complex technical findings into plain language insights and stories for stakeholders
- Demonstrated ability to develop new and lasting client relationships across multiple industries
- Team oriented and collaborative working style, both with clients and within Ekimetrics
- Management experience and demonstrated ability to develop talent and build a high performing team
- Project management and delivery expertise
- Passion for joining a small team and desire to help the business grow quickly
- Spanish-speaking is a plus
- Marketing expertise is a plus
What we offer:
At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary range for our NYC office is $110,000. In addition to this base salary range, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure.
- Medical insurance, dental, and vision
- An emphasis on work-life-balance and 20 PTO days per year and holidays
- Dynamic environment with a strong culture and great office in FiDi
- Close-knit team with friendly environment, bi-monthly team events and more
- Creative and entrepreneurial start-up environment with strong promotion opportunities
- Best-in-class methodologies and cutting-edge technologies in marketing analytics
- Unique internal training package with 70+ sessions in our Eki.Academy digital platform
- Client exposure up to the executive level in different industries and countries
- Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
Please note that we do not offer visa sponsorship for this position.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
