Graduate Opportunity- Consultant in Data Marketing (Located in New York Office)

As part of its business development Sia is recruiting a Data Marketing Consultant for its offices in New York. 

You will support the operational teams as well as the marketing and strategy departments of our clients in defining their data needs analyzing their data deploying data science algorithms and providing support for strategic decision-making. 

The assignments involve the implementation of complex data processing to assist our clients particularly in the following areas: 

• Generative AI Machine Learning & Statistics 

• Data Analysis for strategic support 

• Data Engineering & DevOps 

• Data Transformation & Data Literacy 

Examples of assignments include: 

• Detection and automatic classification of user needs: identification of main themes and specific needs based on unstructured text data from various sources (surveys emails etc.) using generative AI NLP processing and clustering. 

• Sales forecasting to optimize new product assortment in stores: development of a machine learning model to estimate the sales potential of new luxury products in each store across the network to provide product assortment recommendations. 

• Customer behavior analysis for a luxury brand: deepening customer insights and conducting customer segmentation. The objective is to identify homogeneous customer profiles using clustering techniques and to determine the key characteristics that define them to better target marketing efforts and optimize the companys commercial strategy. 

As part of the firms internal activities your contribution will focus on: 

• Developing and strengthening our service offerings through training working groups and the distribution of internal and external materials. 

• Supporting our publication strategy (podcasts studies press features etc.). 

• Participating in business development by helping define client needs and supporting commercial initiatives. 

Qualifications :

You are a graduate of a top-tier engineering school with a specialization in data science statistics or marketing.

We are looking for candidates with: 

• 12 years of experience in a similar role 

• Strong programming skills in Python and SQL and experience in data modeling 

• A solid understanding of data science algorithms: Generative AI and Machine Learning (supervised unsupervised clustering methods etc.) 

• Familiarity with cloud environments (GCP AWS or Azure) 

• Proficiency with BI tools (Power BI Tableau Qlik etc.) and data visualization libraries (Dash Plotly) 

Additional Information :

Please send us your resume and cover letter in English. 

Make sure you meet the eligibility criteria for the VIE contract as defined by Business France: 

• You must be between 18 and 28 years old at the time of registration. 

• The assignment must begin no later than the day of your 29th birthday. No exceptions can be made. 

• You must be a national of France a European Economic Area (EEA) member state (the 28 EU countries plus Norway Iceland and Liechtenstein) or Monaco. 

• You must comply with your home countrys national service obligations.  

• You must have full civil rights and a clean criminal record. 

You can expect

• A supportive atmosphere where innovation and initiative are encouraged.
• A commitment to diversity inclusion and employee well-being.
• Opportunities to flex your intellectual and creative muscles.
• Welcoming friendly and professional colleagues.
• A personal development plan with clear goals for advancement.
• A meritocratic approach to promotion that rewards those who exceed expectations.
• A competitive salary in line with the market and your peers.
• Flexible working arrangements.
• A performance-related bonus.
• Health and Life insurance.
• An employer-matched contribution pension scheme.
• 27 days holiday per year plus Bank Holidays

Sia 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. 

Remote Work :

No

Employment Type :

Full-time