Senior Data Scientist

The Opportunity:

Under general supervision, provide analysis, insight, and recommendations by synthesizing information for various product categories and geographies by using competitive analyses, analytical modeling, and leveraging knowledge of the product portfolio and customer programs. Manage pricing process for the sales team including assessing, approving, and loading all pricing requests. Review, research, and analyze pricing to make recommendations on price enhancements, SKU rationalization and margin opportunities. Process quotation requests for stock standard items and special order (customer specific) items.

THE OPPORTUNITY:

As a Senior Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for designing, developing and deploying supervised/unsupervised ML models, maintaining ML pipelines, performing model maintenance activities, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.

WHAT WE'RE LOOKING FOR:

The ideal candidate will be responsible for

• Collect, clean, and analyze large datasets to generate insights and recommendations.
• Perform Data analysis and provide decision points based on the same.
• Develop and implement machine learning models to solve business problems.
• Maintain ML pipeline and fix production issues in stipulated time.
• Work on model maintenance and improvise model performance when necessary.
• Create utilities which can be re-usable for data processing, feature engineering, etc.
• Conduct hypothesis testing and statistical analyses to understand data trends.
• Work with junior Data Scientist – perform technical reviews, provide technical support.
• Communicate findings to non-technical stakeholders through reports and visualizations.
• Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.

CERTIFICATIONS (Good to have):

• ML/AI certifications
• Cloud certifications – like AWS, Azure, GCP etc.
• Databricks or Snowflake certification.

EXPERIENCE:

• Bachelor’s degree/Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
• 5+ years of experience in working with a product development company as a senior ML/AI engineer – Model development, Model deployment, Model Maintenance
• 5+ years of experience with machine learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) – developed, deployed and maintained 5+ projects in production
• 5+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
• Strong hands-on experience in SQL or data manipulation/query language.
• Worked on Production grade/POC projects including generative AI and LLMs.
• Strong analytical skills and proficiency in statistical analysis and data visualization.
• Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
• Performed technical reviews and provided technical support to junior data scientists.
• 3+ years of experience in code version tools like – git, GitHub, GitLab etc.

HOW YOU WILL THRIVE AND CREATE AN IMPACT:

• With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
• You will have the opportunity to lead ML projects starting from solution designing to deployment in production.
• With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
• You will have the opportunity to interact with business stakeholder and get first hand feedback on the ML model deliveries.
• You will have the opportunity to work with great minds who focusses on delivering quality products.

Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.

Why Avantor?

Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today!

EEO Statement:

We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

3rd party non-solicitation policy:

By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation