Data Scientist

**The**Opportunity**:
A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
**THE OPPORTUNITY**:
As a 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 developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.

**WHAT WE'RE LOOKING FOR**:

- Collect, clean, and analyze large datasets to generate insights and recommendations.
- 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.
- Conduct hypothesis testing and statistical analyses to understand data trends.
- 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 or master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
- 2+ years of experience in working with a product development company as a ML/AI engineer.
- 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
- Strong hands-on experience in SQL or data manipulation/query language.
- 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Good knowledge on NLP, transformers, LLM and generative AI.
- 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.
- Good Team player and ability to work in cross-functional teams.

**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.
- 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 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.

**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.

**3rd party non-solicitation policy**: