8 Statistical Modeling jobs in Hyderabad
Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning
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Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning
Location: Remote (India)
Job Type: Full-time
Experience: 5+ Years
Job Summary:
We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.
You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.
Key Responsibilities:
Predictive Modeling & Machine Learning
- Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
- Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
- Perform model validation, tuning, and performance monitoring.
- Deliver actionable insights from complex datasets to support strategic decision-making.
Data Engineering & Cloud Computing
- Design scalable and secure ETL pipelines using AWS Glue.
- Manage and optimize data infrastructure in the AWS environment.
- Ensure high data integrity and availability across the pipeline.
- Integrate AWS services to support the end-to-end machine learning lifecycle.
Python Programming
- Write efficient, reusable Python code for data processing and model development.
- Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
- Maintain documentation and ensure best coding practices.
Collaboration & Communication
- Work with engineering, analytics, and business teams to understand and solve business challenges.
- Present complex models and insights to both technical and non-technical stakeholders.
- Participate in sprint planning, stand-ups, and reviews in an Agile setup.
Preferred Experience (Nice to Have):
- Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
- Exposure to Generative AI technologies.
- Familiarity with geospatial data and GIS tools for predictive analytics.
Qualifications:
- Master’s in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of relevant experience in data science, predictive modeling, and machine learning.
- Experience working in cloud-based data science environments (AWS preferred).
Executive Manager - Data Analysis
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As a Visualization Platform Architect, you will be a key techno-functional expert leading and overseeing PepsiCo's data visualization platforms and operations. You will drive a strong vision for how visualization platforms can proactively create a positive impact on the business. You'll be an empowered leader of a team of visualization engineers who build platform products for visualization optimization, cost efficiency, and tools for BI operations on the PepsiCo Data Lake. You will enable analytics, business intelligence, and data exploration efforts across the company. As the leader of the visualization platform team, you will help in managing governance frameworks to ensure best practices in visualization platforms for large and complex data applications in public cloud environments. You will work closely with process owners, product owners, and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems.
ResponsibilitiesSenior Manager - Data Analysis
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As a member of the Platform engineering team, you will be the key techno functional expert leading and overseeing PepsiCo's Platforms & operations and drive a strong vision for how Platforms engineering can proactively create a positive impact on the business. You'll be an empowered Leader of a team of Platform engineers who build Platform products for platform optimization and cost optimization and build tools for Platform ops and Data Ops on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As Leader of the Platform engineering team, you will help in managing platform Governance team that builds frameworks to guardrail the platforms of very large and complex data applications in public cloud environments and directly impact the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems.
ResponsibilitiesBig Data Engineer, Data Analysis
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What can you tell your friends
when they ask you what you do?“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”
To ensure we execute on our values we are looking for someone who has a passion for:
As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
Manager HR Data Analysis - (Workforce Administration)
Posted 1 day ago
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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:**
Amgen is seeking a Manager HR Data Analysis Human Resources - Workforce Administration. The Manager HR Data Analysis Human Resources - Workforce Administration will report to the Associate Director HR Technology.
The successful incumbent will have previous managerial experience with extensive experience with HR administration to provide support to staff, managers and key HR stakeholders as a member of our service delivery team.
**Roles & Responsibilities:**
+ Leads the HR Workforce Administration Team (WFA) by providing best practices, handling escalations and ensuring data accuracy and confidentiality.
+ Responds to escalated inquiries and issues related to Amgen's Workday system
+ Performs audits and controls on HR Master Data and transactions
+ Monitor and ensure performance of Amgen's Workday system
+ Generates HR Data reports within Workday
+ Performs transactional work in Workday using EIBs and mass operations management (MOM) tools
+ Advises HR and Employee Service Stakeholders on HR System solutions and best practices
+ Provides excellent customer service as measured by Quality Standards and SLA's
+ Assigns and Audits HR system security roles
+ Perform system testing, and support the configuration of the HR system to meet business goals
+ Maintains content in the team's knowledgebase and suggests improvements for ongoing development
+ Contributes to knowledge sharing within the team, providing on-floor support and training the call center representatives on HR system processes.
+ Leads other projects/activities, as needed, and participate in cross-functional process improvements
+ Identify opportunities for HR process improvement based on frequent contact with HR and Employee Service Stakeholders
**Basic Qualifications and Experience:**
+ 5 years minimum experience in human resources with hands on experience with Workday
+ 4 years' experience managing an operations team that handles HR mass transactions
+ Master's degree, OR
+ Bachelor's degree and 5 years of HR IS experience
**Functional Skills:**
**Must-Have Skills:**
+ Strong working knowledge of Workday including using tools such as EIBs, Mass Operation Management, data audits
+ Experience in creating and using Workday reports
+ 5+ years' experience in human resources and corporate service center supporting Workday
+ 4+ year's experience managing an operations team that handles HR mass transactions
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
+ Strong verbal, written communication and presentation skills
+ Ability to work effectively with global, virtual teams
+ Strong technical acumen, logic, judgement and decision-making
+ Strong initiative and desire to learn and grow
+ Ability to manage multiple priorities successfully
+ Exemplary adherence to ethics, data privacy and compliance policies
**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 an accommodation.
Data Analysis & Integration/Senior Business Analyst
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Data Analysis & Integration/Senior Business Analyst
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Sr Associate HR Data Analysis (Visier Admin)
Posted 1 day ago
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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:**
Amgen is seeking a Sr Associate HR Data Analysis (Visier Admin). The Sr Associate HR Data Analysis (Visier Admin) will report to the Associate Director HR Technology.
The successful incumbent will have previous Visier reporting tool Admin experience.
**Roles & Responsibilities:**
+ Hands on experience supporting Visier
+ Previous experience with Vee
+ Administrative tasks associated with Visier such as role assignments and creating roles
+ Visier Security configuration, data integration, and data exports
+ Ability to analyze, troubleshoot and resolve Visier data issues
+ Must have previous experience handling large datasets and sensitive HR data
**Basic Qualifications and Experience:**
+ 5 years minimum experience in human resources with hands on experience with Visier
+ Master's degree, OR
+ Bachelor's degree and 5 years of HR IS experience
**Functional Skills:**
**Must-Have Skills:**
+ Strong working knowledge of Visier
+ 5+ years' experience in human resources and corporate service center supporting Workday
? **Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
+ Strong verbal, written communication and presentation skills
+ Ability to work effectively with global, virtual teams
+ Strong technical acumen, logic, judgement and decision-making
+ Strong initiative and desire to learn and grow
+ Ability to manage multiple priorities successfully
+ Exemplary adherence to ethics, data privacy and compliance policies
**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 an accommodation.