401 Senior Data Scientist jobs in Hyderabad

**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.

Job Responsibilities:
+ Development of AI/ML models and workflow to apply advanced algorithms and machine learning
+ Enable team to run an automated design engine
+ Creates design standards and assurance processes for easily deployable and scalable models.
+ Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage
+ CI/CD Pipeline (Azure Devops/Git) integration as Code repository.
Minimum Qualifications (Experience and Skills)
+ 5+ years of Data science experience
+ A strong software engineering background with emphasis on C/C++ or Python
+ 1+ years of experience in AWS Sagemaker Services
+ Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security
+ Experience in debugging complex issues with a focus on object-oriented software design and development
+ Experience with optimization techniques and algorithms
+ Experience developing artificial neural networks and deep neural networks
+ Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
+ Ability to communicate and document design work with clarity and completeness
+ Previous experience working on machine learning projects.
+ Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism
Preferred Qualifications
+ Programming Experience in Perl / Python / R / Matlab / Shell scripting
+ Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch
+ Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs
+ Knowledge of data management fundamentals and data storage principles
+ Knowledge of distributed systems as it pertains to data storage and computing
+ Knowledge of reinforcement learning techniques
+ Knowledge of evolutionary algorithms?
+ AWS Certification

Job Responsibilities:
+ Development of AI/ML models and workflow to apply advanced algorithms and machine learning
+ Enable team to run an automated design engine
+ Creates design standards and assurance processes for easily deployable and scalable models.
+ Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage
+ CI/CD Pipeline (Azure Devops/Git) integration as Code repository.
Minimum Qualifications (Experience and Skills)
+ 5+ years of Data science experience
+ A strong software engineering background with emphasis on C/C++ or Python
+ 1+ years of experience in AWS Sagemaker Services
+ Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security
+ Experience in debugging complex issues with a focus on object-oriented software design and development
+ Experience with optimization techniques and algorithms
+ Experience developing artificial neural networks and deep neural networks
+ Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
+ Ability to communicate and document design work with clarity and completeness
+ Previous experience working on machine learning projects.
+ Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism
Preferred Qualifications
+ Programming Experience in Perl / Python / R / Matlab / Shell scripting
+ Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch
+ Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs
+ Knowledge of data management fundamentals and data storage principles
+ Knowledge of distributed systems as it pertains to data storage and computing
+ Knowledge of reinforcement learning techniques
+ Knowledge of evolutionary algorithms?
+ AWS Certification

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to join the team of software engineering experts at Kyndryl? We are seeking a talented Software Engineering Technical Specialist to contribute to our software engineering space and provide critical skills required for the development of cutting-edge products.
As a Software Engineering Technical Specialist, you will develop solutions in specific domains such as Security, Systems, Databases, Networking Solutions, and more. You will be a leader - contributing knowledge, guidance, technical expertise, and team leadership skills. Your leadership will be demonstrated in your work, to your customers, and within your teams.
At Kyndryl, we value effective communication and collaboration skills. When you recognise opportunities for business change, you will have the ability to clearly and persuasively communicate complex technical and business concepts to both customers and team members. You'll be the go-to person for problem-solving of customers' business and technical issues. You have a knack for effectively identifying and framing problems, leading the collection of elements of information, and integrating this information to produce timely and thoughtful decisions. Your aim throughout, is to improve the effectiveness, efficiency and delivery of services through the use of technology and technical methods and methodologies.
Driving the design, development, integration, delivery, and evolution of highly scalable distributed software you will integrate with other layers and offerings. You will provide deeper functionality and solutions to address customer needs. You will work closely with software engineers, architects, product managers, and partner teams to get high-quality products and features through the agile software development lifecycle.
Your continuous grooming of features/user stories to estimate, identify technical risks/dependencies and clearly communicate them to project stakeholders will ensure the features are delivered with the right quality and within timeline. You will maintain and drive the clearing of technical debt, vulnerabilities, and currency of the 3rd party components within the product.
As a Software Engineering Technical Specialist, you will also coach and mentor engineers to design and implement highly available, secure, distributed software in a scalable architecture. This is an opportunity to make a real impact and contribute to the success of Kyndryl's innovative software products. Join us and become a key player in our team of software engineering experts!
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Position Overview**
We are seeking an experienced Senior Data Scientist with 8 years of expertise to lead data-driven initiatives and advanced analytics projects. The ideal candidate will have deep knowledge of data warehousing, data lakes, and modern database technologies, with proven ability to extract actionable insights from complex datasets and drive strategic business decisions.
**Key Responsibilities**
**Data Strategy & Architecture**
+ Design and implement comprehensive data strategies aligned with business objectives
+ Lead the development of scalable data warehousing and data lake solutions
+ Architect end-to-end data pipelines for batch and real-time processing
+ Establish data governance frameworks and best practices across the organization
**Advanced Analytics & Machine Learning**
+ Develop and deploy sophisticated machine learning models for predictive analytics, classification, and optimization
+ Design and execute A/B tests and statistical experiments to measure business impact
+ Create advanced statistical models for forecasting, risk assessment, and customer analytics
+ Implement deep learning solutions for complex pattern recognition and NLP tasks
**Data Engineering & Platform Management**
+ Manage and optimize data infrastructure across cloud and on-premises environments
+ Design ETL/ELT processes for large-scale data integration and transformation
+ Implement data quality monitoring and automated data validation systems
+ Optimize database performance and query efficiency across multiple platforms
**Leadership & Collaboration**
+ Mentor junior data scientists and analysts, providing technical guidance and career development
+ Collaborate with cross-functional teams including engineering, product, and business stakeholders
+ Present complex analytical findings to executive leadership and non-technical audiences
+ Lead data science initiatives and drive adoption of analytics across business units
**Required Qualifications**
**Experience & Background**
+ 7 + years of experience in data science, analytics, or related quantitative fields
+ Advanced degree (Master's/PhD) in Data Science, Statistics, Computer Science, Mathematics, or related field
+ Proven track record of delivering high-impact data science projects in enterprise environments
**Technical Skills**
**Programming & Analytics**
+ Expert proficiency in Python and R for data analysis and machine learning
+ Advanced SQL skills with experience in complex query optimization
+ Proficiency in statistical analysis, hypothesis testing, and experimental design
+ Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
**Database Technologies**
+ **Azure** : Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, Cosmos DB
+ **Oracle** : Oracle Database, Oracle Autonomous Database, Oracle Analytics Cloud
+ **MongoDB** : Document database design, aggregation pipelines, MongoDB Atlas
+ **Additional Databases** : PostgreSQL, MySQL, Cassandra, Redis, Elasticsearch
+ Experience with both SQL and NoSQL database architectures
+ **PostgreSQL** : Advanced query optimization, performance tuning, and analytics functions
+ **MySQL** : Database administration, replication, and analytics workloads
+ **SQL Server** : SSIS/SSRS/SSAS, T-SQL programming, and data warehousing solutions
**Data Platforms & Tools**
+ **Data Warehousing** : Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
+ **Data Lakes** : Azure Data Lake, Amazon S3, Google Cloud Storage, Hadoop HDFS
+ **ETL/ELT Tools** : Apache Airflow, Azure Data Factory, Informatica, Talend
+ **Big Data Technologies** : Apache Spark, Kafka, Hadoop ecosystem
+ **Visualization** : Tableau, Power BI, Looker, matplotlib, plotly
**Cloud Platforms**
+ Microsoft Azure (primary focus with data services expertise)
+ AWS or Google Cloud Platform experience preferred
+ Understanding of cloud-native data architectures and serverless computing
**Soft Skills**
+ Exceptional analytical and problem-solving abilities
+ Strong communication skills with ability to explain complex concepts to diverse audiences
+ Leadership experience with track record of mentoring and developing team members
+ Project management skills with experience in Agile/Scrum methodologies
+ Business acumen with ability to translate data insights into strategic recommendations
**Preferred Qualifications**
+ Experience with real-time streaming analytics and event-driven architectures
+ Knowledge of MLOps practices and model deployment in production environments
+ Familiarity with containerization technologies (Docker, Kubernetes)
+ Experience with data privacy regulations (GDPR, CCPA) and data security best practices
+ Industry-specific domain expertise (finance, healthcare, retail, etc.)
+ Certifications in cloud platforms (Azure Data Scientist Associate, AWS Certified Data Scientist)
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
**Key Responsibilities:**
+ **Problem Framing:** ?Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:** ?Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Exploratory Data Analysis (EDA):** ?Performing initial investigations on data to discover patterns, spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations.
+ **Model Development:** ?Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:** ?Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:** ?Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:** ?Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:** ?Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:** ?Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Technical and Professional Expertise
+ 8 - 10 years of experience as an Data Scientist .
+ Programming Languages:?Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Statistics and Probability:?A solid understanding of statistical inference, hypothesis testing, probability distributions, and experimental design.
+ Machine Learning:?Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying:?Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization:?Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
+ Big Data Concepts:?Familiarity with concepts and tools for handling large datasets, though often relying on Data Engineers for infrastructure.
+ Domain Knowledge:?Understanding of the specific industry or business domain to contextualize data and insights.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**About Amgen**
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Scientist**
**What you will do**
The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.
You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment.
**Key Responsibilities**
+ Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others.
+ Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc.
+ Develop and maintain evaluation metrics and frameworks for prompt engineering.
+ Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases.
+ Build retrieval algorithms for relevant data identification to support LLMs and AI applications.
+ Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture.
+ Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI.
+ Share insights and findings with team members in an Agile (SAFe) environment.
**What we expect of you**
**Basic Qualifications:**
+ Master's degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering
**Preferred Qualifications:**
+ Experience in developing and deploying LLM applications.
+ Strong foundation in ML algorithms, data science workflows, and NLP.
+ Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
+ Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control).
+ Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks.
+ Understanding of RESTful APIs and frameworks like FastAPI.
+ Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash).
+ Knowledge of GxP compliance and experience working in regulated environments.
+ Strong communication skills with the ability to explain complex topics to diverse audiences.
+ High degree of initiative, self-motivation, and ability to work in global teams.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organization's security posture.
Roles & Responsibilities:
+ Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture.
+ Collaborate with Data Engineers to translate security-focused algorithms into effective solutions.
+ 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 to identify security patterns and anomalies.
+ Design and implement security-focused analytics pipelines leveraging MLOps practices.
+ 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 practicing SAFe Agile delivery model.
Functional Skills:
**Basic Qualifications:**
+ Master's degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR
+ Bachelor's degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR
+ Diploma and 7 to 9 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)
+ Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
+ 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:**
+ Proficiency in 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 and MLOps
+ Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis
+ Experience working in Product team's environment
+ Experience working in an Agile environment
**Professional** **Certifications:**
+ 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
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
**Apply now for a career that defies imagination**
Objects in your future are closer than they appear. Join us.
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Sr Data Scientist

Job Summary

Responsibilities:

• Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
• Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
• Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling.

Requirements:

• MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
• Minimum of 5 years related, professional experience.
• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas.
• Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
• Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
• Programming experience with SQL, shell script, Python, etc.
• Knowledge of and ideally some experience with MLOps will be preferred.
• Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
• Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
• Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications:

• Development experience with Java and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)
• Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture

Greetings from Grid Dynamics!

We are currently looking for “Lead Data Scientist" . Please find the JD below for your reference.

Details on tech stack

• Python
• Prompt engineering
• Best practices for prompt engineering
• How LLM can be used in applications for a variety of tasks
• NLP
• Understanding of typical NLP problems: classification, NER, summarization, question answering, sentiment analysis, etc.
• Theoretical intuitive understanding of how Transformers work (tokenization, attention, etc).
• Word and sentence embeddings
• Vector search
• Vector databases, performance tuning
• Document chunking techniques
• LLM applications development
• LangChain, LlamaIndex
• Chain of Thoughts, DSP, and other techniques
• Agents and tools
• Google cloud (GCP)

Nice to have requirements to the candidate

• Preferable, the engineers are expected to have IT services/consulting experience.
• Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns. Experienced with frameworks like LangChain, LlamaIndex, and DSPy.
• Familiar with evaluation approaches and metrics for different types of LLM-based systems.
• Experienced with keyword and vector search methods, including understanding of their underlying algorithms. Familiar with popular vector search engines.
• Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems.
• Familiar with LLM and embedding models fine-tuning techniques.
• Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search. Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet.
• Understanding of the challenges and risks associated with the development of Generative AI systems and how to mitigate them.
• Familiar with various architecture design patterns for different types of LLM-based applications such as chatbots, text2sql, document understanding, etc. Familiar with various approaches to scalability and cost reduction in Generative AI systems.
• Ability to stay updated with the latest advancements in Generative AI and integrate emerging technologies to drive innovation and improve the performance of AI systems.
• Familiar with Responsible AI principles and Human-AI interaction design best practices.

NEW - ABOUT GRID DYNAMICS - FEB 2024 Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization , and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn .