data scientist

software engineer

senior data scientist

data engineer

software engineer ii

scientist iii

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Adherence to all Good Manufacturing Practices (GMP) Safety Standards<p></p><p><b>
Job Description</b></p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p><b>
Job Title: Scientist III, Protein Biology</b></p><p><b>
Job Location: India, Bangalore</b></p><h2 class="jobSectionHeader"><b>
About Company:</b></h2><p><b>
About the company</b></p><p>
Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.</p><h2 class="jobSectionHeader"><b>
About Team: Antibody team</b></h2><p>
The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use.</p><h2 class="jobSectionHeader"><b>
Role &amp; Responsibilities
</b></h2><p><b>Role:</b></p><p><b>
To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular, protein, and cell biology methods.</b></p><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li>
Independent experimental planning and execution to meet program goals and schedules.</li><li>
Timely record keeping of results into data sheets and laboratory note-books.</li><li>
Regular mining of literature and keeping oneself up to date with developments in field of antibody development and protein biology. Ideate effectively to recommend improvements in product development and workflows.</li><li>
Compilation and presentation of data in written and oral formats to different audiences including stakeholders and leadership. Active participation in team meetings.</li><li>
Mentoring junior scientists and provide in-lab supervision.</li></ul><h2 class="jobSectionHeader"><b>
Candidate Requirement:</b></h2><p><b>
Education &amp; Experience levels:</b></p><ul><li><b>Applicants should have Master&rsquo;s with greater than 15 years confirmed R&amp;D experience or PhD with greater than 7 years&rsquo; experience in a life sciences field with a strong focus on molecular biology, protein design &amp; purification, immunology, biotechnology and/or biochemistry. Minimum 3-4 years of Industrial experience is required.</b></li></ul><h2 class="jobSectionHeader"><b>
Nature of experience:
</b></h2><ul><li>Extensive experience and knowledge in protein purification and analysis technologies such as affinity or ion exchange chromatography, SEC, HPLC, and SDS-PAGE. Experience and knowledge of protein affinity measurement platforms and Immunoassays.</li><li>
Extensive experience and familiarity with antibody or protein engineering,</li><li>
Experience with antigen design for immunizations, analysis and identification of epitopic regions desirable.</li><li>
Familiarity or experience in development of conjugation chemistries or performing antibody conjugation.</li><li>
Theoretical or practical experience in antibody development platforms is desirable.</li><li>
Project or work experience in support of relevant skills such as publications, project reports or thesis work.</li><li>
Proficient in MS Office applications such as Word, PowerPoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.</li></ul><p>
The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate with the ability to work with different colleagues.</p><p>
Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</p><p>
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!</p><p>
ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.</p></div><p></p>

Scientist III

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cold Room/Freezers -22degreesF/-6degrees C, Fluctuating Temps hot/cold, Laboratory Setting, Loud Noises (Equipment/Machinery), Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Strong Odors (chemical, lubricants, biological products etc.), Will work with hazardous/toxic materials<p></p><p><b>
Job Description</b></p><p></p><p><b>
Job Title: Scientist III, Molecular Biology</b></p><p><b>
Job Location: India, Bangalore</b></p><h2 class="jobSectionHeader"><b>
About Company:</b></h2><p><b>
About the company</b></p><p>
Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.</p><h2 class="jobSectionHeader"><b>
About Team: Antibody team</b></h2><p>
The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use.</p><h2 class="jobSectionHeader"><b>
Role &amp; Responsibilities</b></h2><h2 class="jobSectionHeader"><b>
To be a member in the molecular biology and sequencing core facility within an antibody development team through the advancement of innovative molecular biology techniques to enable high throughput recombinant antibody platforms.</b></h2><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li>
Perform in a fast- paced environment towards antibody development &amp; testing</li><li>
Lead molecular biology and core facility to develop next generation methodologies, vector improvements, cloning strategies to facilitate high throughput workflows in recombinant antibody development platforms</li><li>
Informal leadership of team of scientists in matrix style operation, provide technical and operational supervision. Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners.</li><li>
Drive conceptualization within teams to enable development of successful protocols for effective transfer to operation teams.</li><li>
Serve as authority in the field of molecular biology, sequencing, and antibody development to provide inputs and guidance towards driving innovation and cross team collaborations.</li><li>
Partner with supporting functions such as product management, program management, operations, and business development to meet program goals.</li></ul><p><b>
Candidate Requirement:</b></p><p><b>
Education &amp; Experience levels:</b></p><ul><li>
PhD with 4 to 5 years' experience, or</li><li>
Master&rsquo;s degree with 5 to 10 years' experience</li><li>
Min 3-4 years of Industrial experience is required</li></ul><p>
Applicants should have a degree in a relevant life sciences field with a strong focus on next generation molecular biology, sequencing technologies and antibody development technologies.</p><h2 class="jobSectionHeader"><b>
Nature of experience:</b></h2><ul><li>
Extensive experience with antibody development and engineering including hybridoma, display technologies, single B cell, and other antibody platforms</li><li>
Broad knowledge and experience in molecular biology, vector design, next generation cloning, miniaturizing strategies for high throughput gene to protein, Sanger and next generation sequencing technologies, antibody sequencing, protein and antibody design/engineering</li><li>
Excellent troubleshooting and problem-solving skills to identify and troubleshoot technical challenges and provide suitable solutions</li><li>
Consistent track record of establishing new protocols and workflows</li><li>
Experience leading core facilities for molecular biology and/or sequencing will be a plus</li><li>
Experience leading and mentoring people either with or without direct reporting structure</li><li>
Authorship of peer-reviewed publications with post-doctoral experience and a strong, independent understanding of standard and emerging trends in the field are preferred.</li><li>
Flexibility and adaptability to work in a fast-paced research environment.</li><li>
Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.</li></ul><p>
The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate to varied colleagues.</p><p>
Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</p><p>
We offer attractive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. We offer employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer a company culture that stands for integrity, intensity, involvement, and innovation!</p></div><p></p>

Scientist III, Molecular Biology

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Customer Experience Manager<br>
</b></p><p><br>
<b>Introduction to the Team</b></p><p>
Our Corporate Functions support the broader organization through strategic and operational excellence across domains such as Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.<br>
<br>
Customer service plays a crucial role in building trust, enhancing guest experiences, and ensuring smooth journeys. It involves assisting travelers with bookings, resolving issues promptly, providing accurate information. At Traveler &amp; Partner Service Platform, We are building contact center technologies for better customer and agent experiences.</p><p><br>
Omnichannel services are built on Amazon's Connect contact and routing technology, replacing legacy CCaaS capabilities for chat and voice within the TPSP (Traveler &amp; Partner Service Platform) group. We're deploying technology that brings AI experiences - for example, voice natural language to make self service a more delightful experience, and personalized routing (based on customer and context) to keep pace with EG's business evolution (i.e. optimizing for Brand needs).<br>
</p><p>Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power and enhance the customer experience across highly complex post-booking recommendations, customer service use cases. You will tackle substantial technical challenges, from inference problems arising from long-tail traveler data to multi-objective optimization problems in the highly dynamic, operationally complex environment of customer service. Your passion for the craft of statistics, machine learning, and causal inference will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners.</p><p></p><p>
This is your opportunity to build the core algorithms that help Expedia Group's Traveler &amp; Partner Service Platform organization bring context and intelligence to every step of the traveler journey and redefine what service excellence in travel can be. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide.<br>
</p><p><b>In this Role, You Will:</b></p><ul><li><p>
Design &amp; Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.</p></li><li><p>
Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.</p></li><li><p>
Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.</p></li></ul><p></p><p><b>
Experience and Qualifications:</b></p><ul><li><p>
PhD or MS in a quantitative field (Computer Science, Economics, Statistics, Physics) or equivalent related experience</p></li><li><p>
3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.</p></li><li><p>
Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.</p></li><li><p>
Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.</p></li><li><p>
First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.</p></li><li><p>
Domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce is highly desired</p></li><li><p>
Experience building and deploying models using GenAI/LLM technologies</p></li></ul><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist- III

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.
<br>
<br>
The Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.<br>
<br>
Key job responsibilities<br>
<ul><li>Research, experiment and build Proof Of Concepts advancing the state of the art in AI &amp; ML for GenAI.</li><li>Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.</li><li>Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.</li><li>Engage in effective technical communication (written &amp; spoken) with coordination across teams.</li><li>Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.</li><li>Publish research papers in internal and external venues of repute</li><li>Support on-call activities for critical issues</li></ul><br>
A day in the life<br>
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve solutions powering customer experience on Alexa+. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 8+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist III, Alexa AI

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)<p></p><p><b>
Job Description</b></p><p></p><p><b>
About the company</b></p><p>
Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.</p><h2 class="jobSectionHeader"><b>
About Team: Antibody team</b></h2><p>
The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of the team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use.</p><p></p><h2 class="jobSectionHeader"><b>
Role &amp; Responsibilities</b></h2><p><b>
Role:</b></p><p><b>
To lead antibody development workflows with a focus on performance and specificity using innovative molecular, protein, and cell biology methods.</b></p><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li>
Perform in a fast- paced environment towards antibody development &amp; testing</li><li>
Lead team of scientists in matrix style operation, provide technical and operational supervision.</li><li>
Drive conceptualization within teams to enable development of successful protocols for effective screens and hit selection</li><li>
Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners</li><li>
Serve as authority in the field of antibody development to provide inputs and guidance towards driving innovation and cross team collaborations.</li><li>
Partner with supporting functions such as product management, program management, operations, and business development to meet program goals.</li></ul><p><b>
Candidate Requirement:</b></p><p><b>
Education &amp; Experience levels:</b></p><ul><li>
Applicants should have Master&rsquo;s with greater than 15 years confirmed R&amp;D experience or PhD with greater than 7 years&rsquo; experience in a life sciences field with a strong focus on cell and molecular biology, immunology, biotechnology and/or biochemistry. Minimum 3-4 years of Industrial experience is required.</li></ul><h2 class="jobSectionHeader"><b>
Nature of experience:</b></h2><ul><li>
Extensive experience with antibody development and engineering including hybridoma, single B cell, and other recombinant antibody platforms</li><li>
Broad knowledge and experience in molecular biology, cell biology, immunoassays, protein design, engineering, purification, and conjugation fields to enable successful delivery on program goals</li><li>
Strong background in flow cytometry including single cell sorting, immunophenotyping, multicolor flow cytometry and panel design, rare population analysis</li><li>
Thorough in biochemical and immunoassay workflows such as recombinant protein expression and purification, ELISA, SDS-PAGE, Western blotting, IF, IHC</li><li>
Working knowledge of fluorescence microscopy, fluorescence detection technologies is helpful</li><li>
Ability to provide technical trouble shooting to resolve scientific problems.</li><li>
Experience in authoring and optimizing standard operating procedures with a focus on reproducibility</li><li>
Skills for identifying deviations from expected outcomes, problem solving and suggesting alternatives</li><li>
Excellent written and verbal presentation skills</li><li>
Experience in leading product launches through knowledge and application of product commercialization processes including feasibility, development, and validation stages</li><li>
Proven leadership skills and ability to work alongside colleagues from different backgrounds</li><li>
Experience with leading and mentoring people either with or without direct reporting structure</li></ul><p>
The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent people and project leadership skills including decision making and conflict resolution, oral and written communication skills to connect to peers and leadership, and demonstrate role model leadership for integrity, intensity, innovation, and involvement.</p><p>
Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</p><p>
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!</p><p>
ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.</p></div><p></p>

Scientist III, Protein Biology

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
About the role</b><br>
At Expedia Group, we believe travel connects the world, and data powers that connection. We are seeking a talented and driven analytics professional to join our team and help shape the future of travel through data-driven insights and innovation. This role offers the opportunity to work cross-functionally with product, engineering, strategy, and business teams to solve complex problems, optimize performance, and enhance customer experiences.</p><p></p><p><b>
In this role you will</b></p><ul><li><p>
Translate complex business questions into clear, actionable analytical tasks.</p></li><li><p>
Conduct deep-dive analyses using tools such as SQL, Python/R, Excel, and Tableau.</p></li><li><p>
Design and analyze experiments (e.g., A/B testing) to inform product and business decisions.</p></li><li><p>
Build and maintain dashboards and reporting tools to monitor key performance indicators.</p></li><li><p>
Collaborate with cross-functional teams to identify opportunities and deliver strategic insights.</p></li><li><p>
Develop predictive models and apply statistical techniques to support decision-making.</p></li><li><p>
Communicate findings through compelling data storytelling tailored to technical and non-technical audiences.</p></li><li><p>
Contribute to a culture of continuous learning, innovation, and collaboration.</p></li></ul><p></p><p><b>
Experience and qualifications</b></p><ul><li><p>
4 to 6 years of experience in data analytics, data science, or statistical modeling roles.</p></li><li><p>
Proficient in SQL and at least one programming language (Python or R).</p></li><li><p>
Skilled in data visualization and dashboarding tools (e.g., Tableau).</p></li><li><p>
Strong understanding of statistical methods and experimentation frameworks.</p></li><li><p>
Excellent communicator with the ability to influence stakeholders and drive business impact.</p></li><li><p>
Curious, proactive, and passionate about solving real-world problems with data.</p></li><li><p>
Comfortable working in fast-paced, dynamic environments with cross-functional teams.</p></li></ul><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Data Scientist III, Yield and Analytics

Birlasoft

<div></div><div><div><div><div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Requisition ID: 30111
</div></div></div></div><div><div><div><div>Work Model:
</div></div></div></div><div><div><div><div>Position Type:
</div></div></div></div><div><div><div><div>Salary Range:
</div></div></div></div><div><div><div><div>Location: INDIA - NOIDA- BIRLASOFT OFFICE
</div></div></div></div></div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Title: </b><b>Sr Data Scientist
</b></h1></div></div></div></div><div><div><div><div>Description:
<div><div><div><h2 class="jobSectionHeader"><b>Area(s) of responsibility</b></h2>
</div><div><p>
Data Scientist experience (8 to 10 years)</p>
<ul>
<li>5 years of relevant work experience as a data scientist</li>
<li>Experience designing and building statistical forecasting models.</li>
<li>Experience in Python, PySpark, Azure Machine Learning, OpenAI and SQL</li>
<li>Minimum 2 years of experience in Azure Cloud using Natural Language API, MLflow</li>
<li>Hands-on experience with LLMs and GenAI frameworks</li>
<li>Experience designing and building machine learning models.</li>
<li>Experience designing and building optimization models., including expertise with statistical data analysis</li>
<li>Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.</li>
<li>Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.</li>
<li>Effective written and verbal communication skills</li></ul><br>
<p></p>
<p>
Mandatory: Skillset: Python, PySpark, Azure Machine Learning, OpenAI</p>
<p>
Good to have : Azure Databricks</p></div></div></div></div></div></div></div></div></div></div></div><p></p>

Sr Data Scientist

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