Sr Data Scientist Job at Baxter (Gurgaon)

Sr Data Scientist

We're Blue River, a team of innovators driven to create intelligent machinery th...

Location

United States , Santa Clara

Salary:

209862.00 - 275000.00 USD / Year

Blue River Technology

Expiration Date

Until further notice

Requirements

Master's degree in Math, Physics, Data Science, or related field plus 5 years of related experience
Implement and deploy computer vision and machine learning-based data pipeline systems using semantic segmentation, image & video classification, object detection, supervised, and unsupervised learning (5 yrs)
Experience working with data engineers, data scientists, software engineers, and field staff through the lifecycle of developing and deploying a machine learning system (4 yrs)
Perform non-parametric statistical tests and analysis on large image-based data sets using sklearn, scikit-image, scipy, and OpenCV (3 yrs)
Write technical documentation, tutorials, and summaries to train data collection teams and conduct on-site training (3 yrs)
Deploy scalable cloud-based solutions to mine, preprocess, resize, crop, rectify, and filter image-based data sets (5 yrs)
Implement code using Python libraries, including NumPy, SciPy, OpenCV, Pandas, Seaborn, Matplotlib, CUDA, Pytorch, and TensorFlow (5 yrs)
Design, implement, debug, and deploy stereo image-based data pipelines using Apache TeamCity, AWS Airflow, Redis, Google appsheet, Data bricks datatables, Celery, and advanced search solutions on LabelBox with open source models such as CLIP and BLIP (6 mos)
Design, build, and debug custom Python pipelines using Python Functools for processing large image datasets, deploy these pipelines using Docker and Docker-compose (1 yr)
Use statistical sampling algorithms to design efficient data collection methods for large stereo camera-based image datasets and coordinate data collection (6 mos)

Job Responsibility

Define, curate, and manage datasets of images, sensor data, and scenarios that are designed to increase the trust and safety of autonomy
Work closely with data engineers and field data capture technicians to mine fleet data and identify open needs
Define frameworks for cataloging and searching scenario-based data to serve multiple stakeholders, including computer vision and robotics teams
Monitor, investigate, and fix data ingestion issues related to dataset curation for training and testing computer vision algorithms
Investigate data quality and actively participate in conceptualizing and developing short and long-term solutions
Provide data and infrastructure support to internal teams
Provide guidance to improve the stability, security, efficiency, and scalability of image data pipelines
Improve code quality through writing unit tests, automation, and performing code reviews
Examine the correlation between customer experience and virtual performance in like scenarios
adjust as needed

What we offer

Eligibility for Blue River's bonus and benefit programs

Fulltime

New

Sr Data Scientist

We are seeking an exceptional Senior Data Scientist to join our dynamic Data Sci...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 3+ years of hands-on experience in building AI /ML models for Financial Planning & Analysis or Corporate Finance domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications

Job Responsibility

Develop and maintain advanced predictive models for Sales, revenue forecasting, expense management, and cash flow optimization
Build automated model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modeling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options –3 days in office arrangement
Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

Fulltime

Sr Data Scientist

In this role, you will not only influence but also directly transform how an ent...

Location

India , Bengaluru, Chennai

Salary:

Not provided

Zuora

Expiration Date

Until further notice

Requirements

7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
Curious mind to learn, explore and identify biggest customer opportunities
Build strong relationships across both technical and business/product teams, earn trust with leadership
Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
Willingness to dive deep into the tech stack as well as hands-on coding
Experience in building end to end ML models, across the ML lifecycle
Strong communication and leadership presence
Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
Bachelors/Masters in a technical or natural sciences domain from a top university

Job Responsibility

Identify $ opportunities– think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics
Stakeholder relationships and strong communication– work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation.
Technical expertise, simplify complexity– build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value.
End to end ownership, delivering results– Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products.

What we offer

Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days and company wide end of year break
6 months fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Sr Data Scientist

Identifies business trends and problems through complex data analysis. Interpret...

Location

United States , SANTA ROSA

Salary:

135600.00 - 151300.00 USD / Year

First American Financial

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or related discipline
Master’s or PhD preferred
5–7+ years of professional experience building, validating, deploying, and monitoring predictive and machine learning models in production environments
Strong programming expertise in Python with hands-on experience building end-to-end ML solutions
Experience with MLflow (or similar model lifecycle tools) for experiment tracking, model versioning, and deployment management
Experience working with SQL and large-scale data processing frameworks such as Apache Spark
Experience designing scalable data solutions in modern data platforms
experience with Microsoft Fabric is a plus
Proven experience applying machine learning techniques (e.g., regression, classification, clustering, ensemble methods, NLP, etc.)
Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders

Job Responsibility

Leverage expertise in handling large, complex datasets to perform exploratory data analysis, feature engineering, and statistically sound sample design
Build, validate, deploy, and enhance complex predictive and machine learning models using data from multiple structured and unstructured sources to materially improve business outcomes
Design, build, deploy, and monitor machine learning models in production environments, ensuring scalability, reliability, and performance
Implement model lifecycle management best practices including versioning, experiment tracking, monitoring, retraining strategies, and performance optimization (e.g., MLflow or similar frameworks)
Automate feedback loops for algorithms and models in production while creating scalable, repeatable data science processes and production-grade data products
Design and execute experiments (A/B testing, causal inference frameworks) to evaluate model performance and business impact
Act as a technical subject matter expert, recommending and developing innovative analytical approaches aligned with strategic priorities
Translate complex analytical findings into clear business insights and present results to executive and non-technical audiences
Mentor junior data scientists and contribute to establishing enterprise best practices in modeling, governance, and documentation
Collaborate with data engineering teams to ensure robust pipelines, high data quality, and scalable model deployment

What we offer

medical
dental
vision
401k
PTO/paid sick leave
employee stock purchase plan

Fulltime

Sr Data Scientist

Provides specialized depth and breadth of expertise in the design, implementatio...

Location

United States of America , Rochester

Salary:

86482.00 - 129723.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Bachelor's degree and 4 years of relevant experience required
Master's degree preferred
Or equivalent combination of education and experience
Considerable experience with relational databases required
Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required
Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required
Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required
Proficiency with Python (or R), including common machine/deep learning libraries and their implementation required
Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI required
Ability to work independently and successfully complete assigned tasks on time without direct oversight required

Job Responsibility

Translates complex data into insights and compelling stories
Presents data models, analyses and visuals, including dynamic visuals such as dashboards, to internal and external stakeholders
Iterates and refines based on feedback
Makes recommendations and provides actionable insight to stakeholders based on analysis
Partners with operational and clinical leaders to implement recommendations and provides consultation as needed
Provides expert consultation to high-level external stakeholders, including senior and executive leadership
Guides strategy and influences project priorities, direction and scoping
Understands underlying clinical and research requirements and formulates, designs and executes analytical solutions to support them
Reviews and approves team’s analysis and analytic products
Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods

Fulltime

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. Data Scientist

We are seeking a highly experienced Senior Data Scientist to lead the developmen...

Location

Canada , Toronto

Salary:

57.46 - 67.04 USD / Hour

Randstad

Expiration Date

June 21, 2026

Requirements

5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics
5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks
5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing
Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services
Expertise in Power BI or similar tools for executive-level reporting and data storytelling
Solid understanding of data lake architecture, data modeling, and big data solution principles
Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC)
Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate

Job Responsibility

Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI
Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark
Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment
Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models
Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making
Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture
Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle

What we offer

36-month contract
Immediate start
Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation
Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment
Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling
Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem

Fulltime

New

Sr. Data Scientist, Product Insights

At Catawiki, every day brings the extraordinary! We are looking for a Senior Dat...

Location

Portugal , Lisbon

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

6+ years of experience in data science or analytics, ideally in an online company
Highly proficient in SQL and experienced in Python, R, or another language
Deep statistical expertise including regression analysis, causal inference, time series modeling, and hypothesis testing
Experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM)
Hands-on experience designing and evaluating A/B tests and other experiments
Strong communicator and mentor

Job Responsibility

Own analytics for a broad product area
Turn data into insights and recommendations
Drive advanced product analytics at scale (including GenAI)

What we offer

€100 Catavoucher when you join
€50 Catavoucher on your birthday
An extra day off each year to 'Pursue Your Passion'
Additional leave for key work anniversaries and important life events

Fulltime

Select Country

Sr Data Scientist

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Sr Data Scientist

Sr Data Scientist

Sr Data Scientist

Sr Data Scientist

Sr Data Scientist

Sr Data Scientist

Sr Data Scientist

Sr. Data Scientist

Sr. Data Scientist, Product Insights

Our AI answers in your language