Sr Data Scientist
Ecolab
This job is no longer accepting applications
See open jobs at Ecolab.See open jobs similar to "Sr Data Scientist" Out for Undergrad.Senior Data Scientist / ML Engineer
Ecolab is looking for an experienced senior data scientist or ML engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.
What’s in it For You:
- As a key player in our new division, you'll have the unique opportunity to shape its culture and direction.
- Impact the success of our innovative projects and help define the future of our product offerings
- Experience the best of both worlds with this team at Ecolab: the agility and creativity of a startup paired with the stability and resources of a global leader.
- Our collaborative environment fosters innovation while providing the support and security you need to thrive.
What You Will Do:
- Develop and implement machine learning models using a Python stack in batch and streaming context to solve real-world business problems
- Utilize Azure cloud technologies to streamline the model development, deployment, and operationalization processes
- Leverage state of the art deep learning frameworks (PyTorch, Tensorflow) for advanced ML modeling
- Apply best practices and patterns for MLOps to ensure scalability and maintainability
- Collaborate with cross-functional teams to integrate labeled data using advanced data labeling tools and techniques
- Optimize model training procedures to ensure efficient and accurate model development through thorough testing, fine-tuning, and validation
- Collaborate with cross-functional teams in UX, software engineering, and business SMEs to understand data needs and deliver actionable insights
- Stay current with industry trends and best practices in data science and big data technologies
Minimum Qualifications
- Bachelors with degree with 6 years’ experience.
- A proven track record in analyzing and interpreting complex datasets
- Proficiency in Python for machine learning model development and data analysis
- Experience and proficiency with Azure ML technologies, MLOps, and ML PaaS environments (AML, Databricks) for effective experimentation, model development and deployment
- Familiarity with deep learning frameworks (e.g., PyTorch) and model serialization formats (e.g., ONNX) for creating and training advanced machine learning models
- No immigration sponsorship available for this position.
Preferred Qualifications
- Master’s with 3 years’ experience
- PhD with 1 years’ experience
- Previous experience with early-stage product development
- Proven track record of deploying products in dynamic environments
- Interest in collaborating with partners outside of core team / organization (including SMEs in computer Vision AI)
- Ability to wear multiple hats and plug into different roles as product develops
- Desire to be in a fast-moving, agile environment with willingness to adjust quickly
- Openness to experimental approaches typical of tech start-ups
- Excellent analytical and problem-solving skills
- Strong communication and collaboration abilities
- Ability to adapt to changing priorities and manage multiple tasks effectively
- Strong organizational skills and attention to detail
Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits.
If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.
Covid-19 Vaccine Notice
Due to local mandates and customer requirements, applicants for certain customer-facing positions must be fully vaccinated (which in some situations requires a booster if eligible), unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.
Americans with Disabilities Act (ADA)
Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.
Our Commitment to Diversity and Inclusion
At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.
In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.
This job is no longer accepting applications
See open jobs at Ecolab.See open jobs similar to "Sr Data Scientist" Out for Undergrad.