Data Science Intern

Data Science Intern

Plainsboro, NJ, USA

On-Site

 

Develop machine learning models to enhance reverse-engineering tools.  As a Data Science Intern, you will be working with flavor analytical chemists in a continuous learning environment, in support of Flavor Creation.

 

Internships begin the first week of June through the third week of August.
Our standard working hours are Monday – Friday (37.5 hours per week)

 

At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting to our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated

 

 

Your key responsibilities

• Work directly with analytical chemists to gather data, identify patterns, and create machine learning models that enhance the capabilities of the solution.
• Implement machine learning algorithms, evaluate their performance, and optimize them for accuracy and efficiency.
• Design and develop data pipelines to pre-process, clean, and transform data for use in machine learning models.
• Collaborate closely with analytical chemists to understand their requirements and translate them into technical solutions.
• Conduct rigorous testing and debugging to ensure the reliability and stability of ML solutions.

 

We bring

• A rich history and a promising future of bold scientific innovation and passionate creation with our customers;
• A space to grow by encouraging and supporting curiosity and an open mindset;
• A culture that prioritizes safety and well-being, both physically and mentally;
• The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose;
• A flexible work environment that empowers people to take accountability for their work and own the outcome;
• We offer competitive pay, career growth opportunities, and outstanding benefit programs

 

You bring

• Completed 2 years of a Bachelor's degree in Data Science, Computer Science, or a related field.
• Hands-on experience in developing and implementing machine learning models.
• Familiarity with data pre-processing, cleaning, and transformation techniques for machine learning applications.
• Excellent collaboration and teamwork skills, with the ability to work closely with cross-functional team members.
• Detail-oriented mindset.

 

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