Full-Time Data Scientist
Job Description
Andersen, an international IT company, invites an experienced Data Scientist to join its team.
The task is to develop AI solutions.
The customer, a company from the USA, offers enterprises an opportunity to create advanced AI bots that can be easily integrated into existing systems and processes. The company’s largest clients are Visa, Amazon, Nvidia, Stanford University, etc.
Must-haves:
– Experience as a Data Scientist for 3+ years;
– Strong data engineering and data analytics skills;
– Excellent knowledge of SQL;
– Experience with MySQL;
– Experience with Snowflake;
– Experience with AWS;
– Experience with Python and ML;
– Experience with preparing data pipelines;
– Level of English – from Upper-Intermediate.
Nice-to-haves:
– Expertise in Healthcare or FinTech;
– Expertise in unsupervised learning;
– Focus on forecasting models and recommenders.
Reasons why this job would be interesting to you:
– For the past four years, our company has been growing annually by 60%-100%, and we constantly involve top-notch specialists in our team;
– Andersen cooperates with such businesses as Samsung, Johnson & Johnson, Ryanair, Europcar, TUI, Verivox, Shypple, etc. This project is just your beginning here – working with us means reliability and prospects;
– We have been strengthening our expertise since 2007. During this time, we have formed excellent teams with streamlined processes, where you can learn something new from your colleagues every day and enjoy your work;
– Our employees are provided with a benefit package and an extensive set of bonuses;
– We welcome specialists from every part of the world. If you are interested in relocation, the company will advise and help you;
– There are many different ways to grow and develop at our company. You can improve as a specialist or a manager, and all your activities will be decently rewarded;
– Our employees have access to Andersen Knowledge Base, where they can take courses on the art of negotiation, project management, Machine Learning and Data Analysis, DevOps practices, programming languages, cloud services, and more.
How to Apply
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