Data Scientist at Coody

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Numpy, Pandas, R, TensorFlow, Machine Learning, Deep Learning, NLP, Computer Vision, Time Series, MLOps, Azure, GCP, AWS, LLMs

Industry

Financial Services

Description

Why choose Coody At Coody, we cut out everything unnecessary to give more back to you as a consultant. And we have done it in the package of a lean and efficient organization, meaning no overpaid managers, no fancy offices and no extravagant conferences. Instead we give you: Maximized Compensation. Typically a +40% salary increase. Freedom & Flexibility. No bosses. All digital. Fully remote for those who prefer. Employment Security. High salary, pension, insurance, paid vacation and a big educational fund. Shape the Future. Projects and assignments for digital game changers like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and exciting startups and scaleups. As we are growing, we are continuously hiring senior tech consultants and connecting them with impactful projects through our client network. What you’ll be doing As a Data Scientist at Coody, you'll help build and scale existing and new products and companies, and also continuously learn and master a variety of technical tools. Each assignment is usually 6-24 months and as a consultant you are usually expected to ramp up fast to deliver value from start. You’ll design and deploy predictive models, classical ML and deep learning, across time series, NLP, clustering, and computer vision. You’ll also build reliable training/inference pipelines and ship them to Azure, GCP, or AWS with solid MLOps practices. Who you are We are seeking an experienced Data Scientist with at least 4+ years of experience and a proven ability to get things done. Here’s what we’re seeking: A solid track record working as a Data Scientist. Hands-on experience with at least a couple of production-level data science projects - from prototyping to deployment and ongoing improvements. Deep understanding of LLMs, Neural Networksone and tools such as Python, SQL, Numpy, Pandas, R, TensorFlow. A degree in Statistics, Mathematics, Computer Science, or a related field. Based in Sweden: You must have Swedish citizenship, a valid work visa, temporary or permanent residency. Fluent in English (spoken and written). This is Coody We’re one of Sweden’s fastest-growing tech consultancies, expanding in both people and revenue. We attribute our growth to our simple yet powerful approach to Gravity-Free Consulting, combining the freedom and flexibility of freelancing with the security of traditional employment. At Coody, we believe in freedom, trust, and ambition, which means you’ll feel like a freelancer with free rein on assignments that excite you, while enjoying the benefits of being employed by a company that invests in your growth. Our senior sales team has built a vast, carefully curated client network, enabling our consultants to work with some of the most innovative companies in Sweden, Finland, the US, and the UK across Gaming, Fintech, Medtech, AI, SaaS, Aviation, and Automotive, tackling real technical challenges while shaping their own career paths. We’re a diverse community of ambitious tech professionals, representing more than 14 nationalities. Coody is more of a platform than a traditional consultancy. Everything we do is designed to help you work and live according to your own priorities and ambitions. If you’re curious to see how this works in practice, explore our Employee Handbook and discover a company that truly puts consultants first. How to apply Are you excited to take your career to the next level and meet the criterias? Apply now, and we'll be in touch shortly.

Responsibilities

You will design and deploy predictive models, classical machine learning, and deep learning solutions across various domains. Additionally, you will build and maintain reliable training and inference pipelines using MLOps practices on cloud platforms.