Experience
3 - 5 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Data Scientist Associate
Job Type
ONSITE
Job Description
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainson thecutting-edgeof innovation, using technology and human genetic data to push beyondwhatsknown today.
ABOUT THE ROLE
Role Description:
The Data Scientistis responsible fordeveloping and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involvesleveragingdata science techniques to analyze security data, detect threats, andenhancesecurity processeswith generative AI and other analytic capabilities.The Data Scientist will work closely with cybersecurity teams toidentifydata-driven automation opportunitieswhichstrengthen the organizations security posture.
Roles Responsibilities:
- Develop analytics to address security concerns, enhancements, and capabilities to improve the organization''s security posture.
- Collaborate withData Engineersto translate security-focused algorithms into effective solutions.
- Workin 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 toidentifysecurity patterns and anomalies.
- Design and implement security-focused analytics pipelines leveragingMLOpspractices, generative AI, and agent-based architectures (e.g, autonomous agents for threat detection and response).
- Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines.
- Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security 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 practicingSAFeAgile delivery model.
Functional Skills:
Basic Qualifications:
- Masters degree ORBachelors degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Preferred Qualifications:
- Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
- Experience applying generative AI and agent-based systems to cybersecurity use cases (e.g.,automated threat detection, response orchestration, and security analysis)
- Demonstrated skill in the use of applied analytics, descriptive statistics, featureextractionand predictive analytics on industrial datasets
- Strong foundationin machine learning algorithms and techniques
- Experience in statistical techniques and hypothesis testing, experience with regression analysis,clusteringand classification
Good-to-Have Skills:
- Proficiencyin Python and relevant ML libraries (e.g., TensorFlow,PyTorch, Scikit-learn)
- Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
- Experience with data engineering and pipeline development
- 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 andMLOps
- Experience working in Productteamsenvironment
- Experience working in an Agile environment
ProfessionalCertifications :
- Any AWS Developer certification (preferred)
- Any Python and ML certification (preferred)
- AnySAFeAgile 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
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