Senior Data Scientist Consultant - Marketing & Strategy

Company Description

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.

Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance.

Why Join The Sia Village?

Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing

These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.

Your experience at Sia Partners will be enriched by a(n):  

• Entrepreneurial journey
• Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback
• Continuous learning & development opportunities
• Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives

Job Description

To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges.

Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques.

This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation...

The use cases can thus be varied:

• Customer Loyalty:
  • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns.
  • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy.
  • Define hyper-personalized marketing plans.
• Enhanced Customer Experience:
  • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information.
  • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects).
• Pricing & Product:
  • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies.
  • Capitalize on Generative AI to boost the creation of innovative products.
• Geomarketing & Open Data:
  • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts.
  • Understand and anticipate the performance of the retail network.
• Supply Chain & Operations:
  • Predict sales to adjust production and inventory.
  • Model the optimization of the entire distribution chain.

As part of the firm's internal activities, you will also be involved in:

• Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work.
• Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events.
• Supporting business development by helping to define needs and participating in commercial activities.

Qualifications

• Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context.
• Excellent programming skills in Python, SQL, and data modeling.
• Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…).
• Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors.
• Excellent communication and project management skills, with the ability to lead projects from conception to completion.
• Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly).
• Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure).
• Professional proficiency in English is required.
• Joining Sia Partners means:
• Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…).
• Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates.
• Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics.
• Sharing your knowledge and work through article publications: https://heka-ai.medium.com/
• Joining a company committed to climate transition.
• Broadening your interests: through our cross-sector teams, you can engage in various topics, ranging from ecological transition to generative AI

For more information on our Data Science practice, check out our AI solutions showroom: https://www.heka.ai/en

Additional Information

Compensation & Benefits 

• Salary + Annual Discretionary Bonus
• Healthcare coverage that includes medical, dental, vision and life insurance policies
• Generous time off 
• Parental leave paid at 100% of base pay for all new parents regardless of gender 
• Future Moms Program 
• 9 Company Holidays + 1 Floating Holiday 
• 401(k) matching
• College save-up plan & college loan repayment plan
• Monthly cell phone stipend 
• Commuter Benefits 
• Gym Reimbursement through firm medical plan

New York Salary Information:

Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location

Our Commitment To Diversity

Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential.

Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas:

• Gender equality (global Gender Equality Index score of 93/100 for 2023)
• LGBTQ+
• Race & Ethnicity
• Working Parents
• Disabilities

Hybrid Workplace Guidelines

Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office.

Work Authorization & Sponsorship 

At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). 

Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.