Associate Data Scientist (Data Engineering) Job at Amgen (Hyderabad)

Data Scientist

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , Aurora

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)

Job Responsibility

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Associate MLOps Analyst

The Associate MLOps Analyst will be a key member of Circle K's Data & Analytics ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
1-2 years of relevant working experience in MLOps
Knowledge of core computer science concepts such as common data structures and algorithms, OOPs
Programming languages (R, Python, PySpark, etc.)
Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
Exposure to ETL tools and version controlling
Experience in building and maintaining CI/CD pipelines for ML models
Understanding of machine-learning, information retrieval or recommendation systems

Job Responsibility

Collaborate with data scientists to deploy ML models into production environments
Implement and maintain CI/CD pipelines for machine learning workflows
Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management
Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow
Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments
Work closely with data scientists to ensure that models are production-ready
Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications
Optimize ML pipelines for performance and cost-effectiveness
Help the Data teams leverage best practices to implement Enterprise level solutions

Data Engineer – Credit

Optiver is a leading global market maker, powered by technology, rigorous resear...

Location

United States , New York

Salary:

150000.00 - 225000.00 USD / Year

Optiver

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer, Data Scientist, or similar role in a high-performance environment, preferably in financial services
Strong proficiency in Python, with experience using libraries such as Pandas, Arrow, and Spark
Solid understanding of data modeling, normalization, and API development in support of large-scale analytical or trading systems
Experience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) to manage large-scale, high-quality analytical datasets
Familiarity with a variety of data sources, including CDS, corporate/capital structure, and bond NAVs relevant to Fixed Income trading
Strong software engineering fundamentals—especially around performance, scalability, and reliability in distributed systems
Experience with statistical models and core methods of quantitative finance
Exceptional attention to detail, organization, and project management skills
Ability to operate productively in a fast-paced, team-oriented environment
Legal authorization to work in the U.S. is required

Job Responsibility

Create novel analytics and frameworks to research and analyze trade-offs between different sources of returns, flow, and risk
Quantify market drivers with our Quantitative Researchers and Global Market Data team to support risk taking and decision making
Model and normalize complex financial datasets to ensure they are clean, structured, and accessible for both research and production trading systems
Own the reliability of these datasets and the associated data APIs
Collaborate directly with alpha researchers, pricing researchers, and fellow engineers to understand evolving data needs and deliver reliable, scalable solutions
Ensure data quality and consistency through validation, monitoring, and robust engineering practices

What we offer

Highly competitive compensation package
Global profit-sharing pool and performance-based bonus structure
401(k) match up to 50%
Comprehensive health, mental, dental, vision, disability, and life coverage
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Fulltime

Data Governance Program Manager

Digital Transformation PMO - Data Governance Program Manager. This role is accou...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in IT, Computer Science, Software Engineering, Data, Business Analytics or equivalent
Minimum 10 years of experience in data or corporate governance setup and operationalization
Experience in SAP MDG, S4 HANA roll out, Data Harmonization and Data Cleansing
Experience in Material, Vendor, BOM master Data
Certification in industry standard data architecture discipline or similar (e.g. DCAM, DAMA)
Experience in operating under Data Office organization
Expert in consulting and helping business to develop data quality business rules, data catalogue, business glossary
Ability to develop, implement & optimize complex data governance solution and issues
Experience in Data, Privacy, Protection implementations & operationalization
Experience in Big Data and associated platform / technology knowledge

Job Responsibility

Establish, develop and optimize Data Governance Framework, Policy, Process & associated business program / solutions implementations for Global Operation team
Define data governance, data management frameworks and solutions together with Chief Data Officer team, IT and Global Operation functional groups
Support business units in digital transformation journey with data governance
Enable Data Governance framework including managing the objectives, approach, processes, policies and procedures around data governance
Build robust and scalable data governance ecosystem to support business needs
Define data governance operational processes (e.g., data quality measurement, metadata management) in accordance with policies and standards
Provide expert consultation to business units to establish and maintain data policies and standards that enable use-cases
Provide expert consultation to assist business units in identify and setup of critical data elements including the setup of data lineage, data catalogue and data quality
Work collaboratively & consultatively with chief data officer, business units, IT to deliver enterprise objectives around data governance
Identify, design, and implement internal process & framework improvements: automating manual operational processes and control for data governance implementation

What we offer

Health & Wellbeing comprehensive suite of benefits
Personal & Professional Development programs
Unconditional Inclusion in an inclusive environment

Fulltime

AWS Data Engineer

About the Role: Key Responsibilities: Architect and implement scalable, secure, ...

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
5–8 years of experience in data engineering, including at least 3 years of hands-on expertise with AWS Big Data platforms
Proficiency in Python, SQL, Spark, and various AWS data services
Strong understanding of data architecture, data modeling, and data warehousing concepts
Experience in DevOps practices and tools, including CI/CD, monitoring, and infrastructure-as-code (IaC)
Hands-on experience with key AWS services: Glue, S3, Redshift, Lambda, CloudWatch, IAM
Experience with CI/CD tools and IaC technologies such as Terraform or CloudFormation
Proficiency with Git for version control and collaborative development

Job Responsibility

Architect and implement scalable, secure, and cost-effective data platforms on AWS
Lead the development of complex ETL/ELT pipelines and data workflows
Define, standardize, and enforce data engineering best practices and coding standards
Collaborate closely with data scientists, analysts, and business stakeholders to deliver data-driven solutions
Conduct code reviews to ensure high-quality, maintainable deliverables
Optimize data workflows for performance, scalability, and cost-efficiency
Ensure strong data quality, governance, and security across all data environments
Work with cross-functional teams to gather, analyze, and refine data requirements
Monitor, maintain, and troubleshoot data pipelines and associated infrastructure

Fulltime

Data Observability Consultant

We are looking for a data observability consultant who will help mature data qua...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Bachelor’s degree in any quantitative discipline
7 to 10 years of experience in implementing off-the-shelf or be-spoke data observability solutions
Proven experience with data observability tools such as Acceldata, BigEye, Soda, Monte Carlo, Anomalo etc. Or experience implementing bespoke observability solutions using Grafana, Prometheus or cloud native services
Proven experience as a Data Quality Consultant, Data Quality Engineer or similar role
Proficiency in SQL and other programming languages such as Python or R
Ability to clearly articulate, influence, and thought partner with senior business leaders
Understanding of modern technology trends and data stacks in data management and governance
Experience in running customer workshops and other collaboration sessions to discover customer priorities, understand current state, and determine maturity/readiness to execute on enterprise Data Management & Governance vision
Familiarity with Azure, or GCP and associated DQ capabilities
Understanding of cloud-based data storage and data pipeline architecture

Job Responsibility

Data Observability Management: Define end-to-end data quality and observability solution including data quality operating model and framework using relevant Data Observability tools
Data Observability: Lead development and deployment of off-the-shelf or be-spoke solutions that monitor data pipelines and databases with help of automated checks and alerts
Data Quality Improvement: Develop and implement reactive, predictive, and preventive strategies to improve the quality of data in the data analytics products and platforms using various methods including data cleansing, data enrichment, data validation, data observability and AI/ML
Collaboration: Collaborate with data engineers, data scientists, and other stakeholders to ensure data quality across all stages of the data lifecycle
Innovation in Data Quality & Observability: Stay abreast of industry trends and emerging technologies. Propose innovative solutions to enhance data observability processes
Liaise with information security teams, and business data stewards, to define priorities and roadmaps for managing and mitigating risks related to data security and data privacy
Drive upskilling and adoption initiatives on data observability within customer organizations
Contribute to balanced score cards as well as data collection and reporting process for data governance councils for monitoring progress and tracking bottlenecks
Identify and define opportunities for automating data quality related processes
Collaborate with other Data Management consultants at Lingaro to identify and create repeatable methodologies and templates for effectively delivering data management and governance services

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Associate Data Scientist (Data Engineering)

Amgen

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 12, 2026

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