Sr Data Scientist Jobs

New

Sr Data Scientist

Location

India , Hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in developing and deploying Large Language Models, and Machine learning and working with Pytorch
A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms
Proficiency in AI technology, Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy), text classification
Experience with frameworks: PyTorch, or Tensorflow
Experience with cloud services (AWS, Azure) and ML deployment tool Docker
Familiarity with model fine-tuning and optimization techniques for LLMs
Proven track record of innovative solutions in the field of LLMs
Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences

Job Responsibility

LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants. Design and implement deep learning model architectures using PyTorch
Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data
Data Preprocessing for NLP: Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment
Model Training, Optimization, and Evaluation: Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools
LLM Alignment: Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails
AI Data Retrieval: Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

New

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

New

Sr. Scientist, Invivo Pharmacology

Join Enveda as an Sr.Scientist, Biology in Hyderabad, India, and help us transfo...

Location

India , Hyderabad

Salary:

Not provided

Enveda

Expiration Date

Until further notice

Requirements

M.Pharm with 8-9 years or PhD with 3-5 years of experience in drug discovery
Experience with in vivo animal models and ex vivo biomarkers analysis
Self-motivated and proactive with excellent communication skills

Job Responsibility

Plan and execute in vivo pharmacology studies
Contribute to study design and perform pharmacokinetic, pharmacodynamic, and efficacy studies
Conduct statistically supported data analysis and deliver results promptly

What we offer

Culture
Medical
Block Leaves
Work-Life Harmony

Fulltime

New

Sr. Director, Clinical Scientist

The Sr. Director, Clinical Scientist plays a pivotal role in shaping the clinica...

Location

United States , Philadelphia

Salary:

Not provided

Cabaletta Bio Inc

Expiration Date

Until further notice

Requirements

Advanced degree (MS, Ph.D., Pharm.D., M.D., or equivalent) in a relevant scientific discipline preferred
7+ years of clinical development experience within biotech, pharmaceutical, or academic settings, with demonstrated leadership in advancing programs through early and late-stage development
Cell and gene therapy experience—particularly in CAR-T or T-cell–based modalities—strongly preferred
autoimmune disease experience highly desirable
Deep understanding of T-cell biology, immunology, and translational science principles relevant to cellular therapy
Proven ability to author and critically review clinical protocols, study reports, and regulatory documents, ensuring scientific integrity and compliance with ICH-GCP and global regulatory standards
Demonstrated skill in analyzing complex clinical data, conducting literature reviews, and synthesizing insights to inform program strategy
Exceptional scientific judgment, attention to detail, and analytical rigor
Strong communication and collaboration skills, with the ability to influence and partner effectively across cross-functional teams, investigators, and external experts
Highly organized with the ability to manage multiple priorities in a fast-paced, evolving environment.

Job Responsibility

Serve as the clinical science lead for assigned CAR-T programs, partnering with the Medical Director on the design, execution, and interpretation of clinical studies across all phases of development
Author and oversee key clinical documents — including protocols, amendments, informed consent forms, investigator brochures, clinical study reports, and regulatory submissions (e.g., INDs, CTAs, DSURs, BLAs/MAAs)
Review, analyze, and interpret emerging clinical data (safety, efficacy, PK/PD) to identify trends and issues, ensuring timely resolution through cross-functional collaboration
Conduct literature and competitive landscape reviews to inform study design, data interpretation, and program strategy
Provide ongoing data review to ensure study conduct aligns with protocol, patient safety standards, and data integrity expectations
Collaborate with the Medical Monitor to ensure awareness of key safety and efficacy findings, supporting SAE review, narrative development, and safety governance activities
Lead or support governance activities, including preparation and presentation of materials for Development, Executive, and Scientific Steering Committees, as well as oversight of external boards (e.g., DSMB, adjudication committees)
Contribute to and present scientific and clinical data internally and externally (e.g., investigator meetings, scientific conferences, regulatory interactions)
Serve as the clinical science representative on cross-functional development and study teams, providing scientific and strategic input to ensure cohesive execution
Mentor study team members and contribute to vendor oversight to ensure consistency, quality, and scientific rigor across all clinical deliverables

What we offer

health and retirement, PTO, and stock option plans

Sr. Analyst, Informatics

At CVS Health, we’re building a world of health around every consumer and surrou...

Location

United States , Woonsocket, RI

Salary:

104645.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Data Science, Statistics, Analytics, Business Analytics, or a related field and two (2) years of experience in the job offered or related occupation
Requires one (1) year of experience in each of the following: CI/CD, Jenkins, GIT, or DevOps
Java, Python, or R
Agile methodologies or SAFe Software Development Principles
ATG Commerce or Spring Boot
JIRA, Rally, or Confluence
Spark, Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL
Objected-oriented JavaScript
Relational database concepts
SQL for querying and manipulating data

Job Responsibility

Apply statistical techniques and health informatics principles to enhance healthcare data analytics solutions and develop trend reporting for CVS Health business units
analyze business requirements and interpret statistical data for analytics initiatives in support of business objectives
develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to organize, collect and standardize data to generate insights and addresses reporting needs
write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities
identity data trends and factors impacting research, and determine appropriate statistical methods based on user needs
utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions
compare modeling techniques using statistical performance metrics and recommend improvements
structure data analysis to drive analytics insights and help data scientists determine the best solutions
visualize, interpret, and report data findings to internal clients and leadership
collaborate with teams and stakeholders to understand requirements and provide usable information to develop analytics solutions using industry leading tools, technologies and best practices

What we offer

The Company offers a full range of medical, dental, and vision benefits
Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees
The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits
CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners
As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year

Fulltime

New

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

New

Sr. Product Manager - AI

In this role, you will be joining the Product Management team reporting to the S...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments
2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications
Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas
Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes
Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy
Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers
Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption
Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed

Job Responsibility

You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability
You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects
You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products
You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts
Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence
Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth
Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights
Validate new capabilities with customers using prototypes, mockups, and early betas
measure adoption and iterate quickly
Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency)

Fulltime

Sr Data Scientist

Robert Half

Location:
United States, Plano

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2025

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