Senior Data Scientist Consultant - Marketing & Strategy

Company Description

About Sia 

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 

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.