Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
A Master’s Degree with a strong background in data science, analytics, statistics, applied math, or related fields is required, or equivalent experience in business analytics; pricing or marketing analytics is a plus. Strong project management skills, excellent team spirit, social skills, outstanding communication skills, and proficiency in Python are also essential.
This information is not specified in the job description.
The role is office-based with standard Monday-Friday schedule and office environmental conditions.
Key skills include deep machine learning expertise, proficiency in Python, data extraction and cleaning, mathematical and statistical techniques for predictive systems, adapting business problems to machine learning algorithms, and strong communication skills.
A strong candidate is highly analytical with deep machine learning expertise, able to translate business questions into actionable insights and predictive models, has strong project management and communication skills, and excels in team collaboration across IT, COE, Sales, Marketing, and Portfolio teams.
Provides life sciences products and services
Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.