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

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...

Location

United States , Palo Alto

Salary:

83.98 - 111.27 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
8+ years of hands-on experience in data engineering, data warehousing, or a related field
3+ years of experience in a leadership or management role, directly managing multiple technical teams
Experience in a healthcare or academic medical center environment is highly desirable
Proven ability to lead, mentor, and grow multiple high-performing engineering teams
Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
Expert-level SQL skills and proficiency in a programming language such as Python or Scala

Job Responsibility

Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
Foster a culture of collaboration, innovation, and operational excellence
Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
Recruit, coach, and motivate team members, developing leadership competencies within the team
Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery

Fulltime

Associate Data Engineer

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

2-6 years of experience with Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience
Hands-on experience with Python for data processing, scripting, and automation
Strong working knowledge of PySpark and distributed data processing concepts
Proven hands-on experience using Databricks for data engineering, including notebooks, clusters, jobs, workflows, Delta tables, and performance optimization
Ability to build, maintain, and troubleshoot scalable ETL/ELT pipelines in Databricks
Experience working with Delta Lake and lakehouse architecture concepts
Working knowledge of SQL for querying, transforming, and validating data
Ability to work with structured and semi-structured data formats such as CSV, JSON, Parquet, and Delta
Understanding of data engineering concepts such as ETL/ELT, data pipelines, data lakes, data warehouses, batch processing, and data quality
Basic understanding of AI and machine learning concepts, including features, training datasets, model inputs/outputs, and model evaluation basics

Job Responsibility

Develop, test, and maintain data pipelines using Databricks, PySpark, and Python
Ingest, transform, and process structured and semi-structured data from multiple sources
Support the development of scalable ETL/ELT workflows for analytics, reporting, and machine learning use cases
Work with data engineers, analysts, and data scientists to understand data requirements and deliver reliable datasets
Perform data cleansing, validation, and quality checks to ensure accuracy and consistency
Optimize Spark jobs and Databricks notebooks for performance, reliability, and cost efficiency
Create and maintain documentation for data pipelines, workflows, data definitions, and processes
Assist in troubleshooting pipeline failures, data issues, and performance bottlenecks
Follow best practices for version control, code quality, testing, and deployment
Support basic AI/ML data preparation activities, including feature engineering, dataset creation, and model input preparation

Fulltime

New

Data Engineer - Data & Technology, SCD

Job ID: R0014920, Date posted: 21/05/2026. Supply Data & Analytics has the assig...

Location

Sweden , Älmhult

Salary:

Not provided

IKEA

Expiration Date

June 04, 2026

Requirements

At least 5 years' experience as a Data Engineer or equivalent
Databricks or Fabric certified
deep operational knowledge of Python, SQL and PySpark
excellent knowledge of SQL, Python and PySpark
excellent working knowledge of Databricks, with Associate Data Engineer or Professional Data Engineer certification
good communication and collaboration skills
team player who takes ownership, builds cross-functional relationships
curious problem solver who wants to keep learning
shares IKEA values

Job Responsibility

Design, develop, and maintain data models (including dimensional modelling, star/snowflake schemas, Data Vault, and Medallion architecture) to support business needs of analytics and self-service reporting across Core Business Supply
Design, implement, and maintain robust ETL/ELT pipelines that integrate diverse internal and external data sources (databases, APIs, real-time streams) into IKEAs data platforms
Collaborate closely with business stakeholders, architects, analysts, data product leaders, and data scientists to translate complex supply chain and business requirements into scalable, performant, and well-governed data models and solutions
Establish, promote, and enforce data engineering best practices, including data modelling standards, data quality, version control, testing, monitoring, documentation, and metadata management
Optimise data models and pipelines for performance, reliability, scalability, and cost-efficiency across batch and real-time processing
Ensure data is stored, processed, and accessed securely, with full adherence to data governance, privacy, and compliance standards
Contribute to the development and adoption of reusable frameworks, components, and semantic layers that accelerate data product delivery and increase consistency across the organisation
Stay current with emerging data engineering technologies and practices, applying them where they create clear business value
Promote a culture of data sharing, engineering excellence, and continuous improvement while guiding and developing less experienced coworkers through mentoring, code reviews, and knowledge sharing

What we offer

Opportunity to develop your career globally
vibrant culture where ideas are heard
opportunity to learn new skills
flexible work from home

Fulltime

!

Sr Data Engineer

The Senior Data Engineer plays a critical role in delivering strategic and opera...

Location

United States

Salary:

120000.00 - 160000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

At least one AWS certification (e.g., AWS Certified Data Analytics – Specialty, Big Data – Specialty, Developer – Associate)
7+ years in data engineering or analytics engineering, with a strong focus on cloud-native architectures. Proven experience designing and operating scalable data platforms in AWS
5+ years in healthcare, insurance, or claims processing, including 5+ years working with EDI (834, 835, 837, 2222, 2223, 999), X12 file standards or HL7 standards and familiarity with HIPAA and CMS compliance
Expert-level proficiency in SQL (including pivots, window functions, and complex date calculations) and Python for data processing, transformation, and application development
Hands-on experience with orchestration tools like Airflow, containerization with Docker, and CI/CD pipelines. Strong bias for automation and continuous improvement
Proficient in consuming and transforming REST APIs and JSON data into relational models. Skilled in building robust data ingestion and transformation pipelines
Experience with JIRA, BitBucket Git, BitBucket Pipelines, and collaboration with cross-functional teams including Data Analysts, Data Scientists, Product, and Account Management
Proficient in Excel and BI tools such as Tableau, Power BI, and MicroStrategy for data analysis and reporting
Detail-oriented with a strong focus on data quality, accuracy, and performance tuning for large-scale data systems. Background in cost optimization and system reliability
Ability to mentor engineers, share technical knowledge, and communicate effectively with both technical and non-technical stakeholders. Strong documentation and systems thinking

Job Responsibility

Build data applications and processes using Python, SQL, and Django
manage and query data in PostgreSQL, Oracle, and cloud-native databases
Examine, extract, cleanse, and load data while implementing quality assurance rules and tools to ensure consistent and accurate data
Work with healthcare-specific data processes such as EDI file transfers, claims adjudication, audits, eligibility verification, and reporting workflows
Collaborate with cross-functional teams (Data Analysts, Data Scientists, Product, Reporting, Account Management) to define requirements and deliver data-driven solutions
Ensure data quality, integrity, and security through automated validation, auditing, and monitoring, with compliance to HIPAA and CMS regulations
Monitor, maintain, and tune pipeline performance
proactively troubleshoot and resolve complex data flow and system issues
Provide technical mentorship to Data Engineers, sharing expertise in data modeling, pipeline development, and troubleshooting practices
Research and propose improvements to the tech stack and data engineering processes

What we offer

Competitive base salary and benefits effective day one
Comprehensive medical and dental through our own health solutions (yes, we use what we build)
Unlimited PTO—rest and recharge time is non-negotiable
Mental health support, retirement planning, and financial protection
Professional development with clear career progression and learning budgets
Mission-driven culture where diverse perspectives drive real impact on people's health

Fulltime

Technical Architect (AI)

The AI Solutions Engineer is a specialist role, responsible for actively partici...

Location

Indonesia , Jakarta Selatan

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Demonstrated understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
Expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives
Specialist proficiency in Python programming, essential for rapid prototyping, integration, and model implementation
Knowledge of additional programming languages (optional, but valuable): JavaScript / TypeScript, Java / C#
Familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
Proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads
Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel is highly desirable
Awareness and application of security, compliance, and risk management practices related to AI solutions
Understanding of ethical AI considerations, bias mitigation, and responsible AI deployment

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

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Associate Data Scientist (Data Engineering)

Job Description

Job Responsibility

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