Full-Stack R&D Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Full-Stack R&D Engineer Paris, IDF, France Company Description: We are a friendly and international software developer. Some might say the best place to work when you love data, innovative technologies, and the startup mindset. Our growing team of data scientists, software engineers, marketing, and sales are located in Paris and New York City. Our team is professional, dynamic, and entrepreneurial. We work hard but we also know how to relax. We like data but we also like haikus. We like serious but we also like fun. Job Description: We're looking for exceptional software developers to join us at Dataiku. As a R&D engineer, you will build a cutting-edge product that has a real impact on our customers. You will solve complex problems that range from performance and scalability to usability. Qualifications: Data Science Studio is essentially written in Java, Python and Javascript. We use modern technologies from the backend to the frontend, like Spark, Hadoop and AngularJS. You are the ideal recruit if You are a full stack engineer. You know that low-level MapReduce in Java and slick web applications in Javascript are two sides of the same coin and are eager to use both. You know that ACID is not a chemistry term. Additional Information: A first experience (either professional or personal) building a real product would be a big plus. Experience with some technologies of the Big Data and analytics stack (distributed databases, large-scale data processing, statistics, machine learning, JS visualizations, ...) is also desirable.

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