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Amgen Inc
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Data Scientist

Data Scientist

Amgen Inc

3 - 8 years

6 - 9 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

data scientist airflow tensorflow azure regression clustering forecasting machine learning devops pytorch r data quality nlp docker storytelling agile databricks aws data analytics predictive analytics python kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Description:

As t he Data Scientist at Amgen, you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.

Roles Responsibilities:

Develop analytics to address customer needs and opportunities.

Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

Perform exploratory and targeted data analyses using descriptive statistics and other methods.

Model and analytics lifecycle management leveraging MLOps technologies.

Model/analytics experiment and development pipeline leveraging MLOps.

Work with data engineers on data quality assessment, data cleansing and data analytics

Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

Share and discuss findings with team members practicing SAFe Agile delivery model .

Functional Skills:

Must-Have Skills:

Experience in MLOps practices and tools (e.g., MLflow , Kubeflow, Airflow)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch , Scikit-learn)
Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets

Demonstrated skill at data visualization and storytelling for an audience of stakeholders

Strong foundation in machine learning algorithms and techniques

Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Good-to-Have Skills:

Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills

Experience with data engineering and pipeline development

Knowledge of NLP techniques for text analysis and sentiment analysis

Experience in analyzing time-series data for forecasting and trend analysis

Experience with AWS, Azure, or Google Cloud

Experience with Databricks platform for data analytics and MLOps

Professional Certifications(please mention if the certification is preferred or mandatory for the role):

Any AWS Developer certification (preferred)

Any Python and ML certification (preferred)

Any SAFe Agile certification (preferred)

Soft Skills

Initiative to explore alternate technology and approaches to solving problems.

Skilled in breaking down problems, documenting problem statements, and estimating efforts.

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills

Ability to work effectively with global, virtual teams

High degree of initiative and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented, with a focus on achieving team goals

Basic Qualifications

Masters degree in computer science , statistics or STEM majors with atleast 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR

Bachelors degree in computer science , statistics or STEM majors with 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) .

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