Data Science Consultant

Job summary
Permanent contract
Paris
Salary: Not specified
A few days at home
Skills & expertise
Generated content
Data visualization
Communication skills
Unicorn
Azure
Aws
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Artefact
Artefact

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Questions and answers about the job

The position

Job description

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ client base around the globe.

We have over 1000 employees across 16 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Location: Hybrid in  Chelsea District, NY OR Century City, Los Angeles 

Our Opportunity

We are hiring a Data Science Analyst to join our growing team.  Over the last few years, Data Science at Artefact has skyrocketed in terms of novel projects coupled with a growing diverse international team. Our team tackles use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning with a strong focus on Causal Inference, Time Series, and Signal Processing. Would you like to be part of this growth? 

Responsibilities

In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

  • Qualify the feasibility of Use Cases, translating business challenges into technical formulations
  • Define the hypothesis, and build the solution followed by testing and validation
  • For those Use Cases that are validated, you will help develop a production-ready solution

When consulted on a business challenge, you have the ability to propose adequate AI or machine learning options to address this need, acting as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution.

Development of data visualization features to generate insights and support data storytelling.

Iterating with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact

Designing, building, maintaining, troubleshooting the data models integrated into the solutions delivered:

  • Assess the quality of the data; clean and aggregate when necessary
  • Compare and choose the right algorithms based on defining the right statistical hypothesis
  • Develop and train models
  • Troubleshoot the models in production

Qualifications: 

Master's degree in Applied Mathematics, Advanced Statistics, Data Science or a related discipline

Excellent interpersonal and communication skills

Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms

Proficient in Python (preferred) and/or R

Preferred: 

Prior experience in marketing analytics or e-commerce, customer-centric mindset

Preference in Causal Inference topics, Time Series, Advanced Statistics

Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform

Why you should join us

Artefact is the place to be: come and help build a data-services unicorn

Progress: Artefact USA is a start-up within a larger established scale-up

Culture: Innovation, Collaboration and Action are deeply embedded in our daily work

Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

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