machine learning scientist

Expedia Group

<div>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.
Why Join Us?
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.
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.
Machine Learning Scientist III
Introduction to team<div>
We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we&rsquo;ve built in functional expertise.
</div>Success in this role is fueled by your innovative contributions to our automation products. You'll be instrumental in advancing machine learning methodologies to tackle complex business challenges. Your crucial skills include independently assessing model performance, crafting end-to-end solutions, and effectively communicating compelling rationales. Your proficiency in refining and optimizing practices, methodologies, and tools for the SEO team is pivotal for driving continuous improvement. 
 
In this role, you will:<ul><li>
You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline.</li><li>
You will work on advanced GenAI models (LLMs) to drive marketing content optimization, leveraging cutting-edge technology to enhance content relevance, improve engagement, and streamline processes for better business outcomes.</li><li>
You will apply an understanding of supervised and unsupervised machine learning theory.</li><li>
You will tackle business problems by applying fundamental machine learning models, algorithms and techniques using standard libraries.</li><li>
You will modify/adapt models and techniques to suit business needs.</li><li>
You will independently conduct proper model performance evaluation without help.</li><li>
You will build an end-to-end design of one step model based on detailed understanding of business requirements, including approach, choice of algorithm and data sources.</li><li>
You will seek relevant academic papers and experience to point out strengths and weaknesses of current models and recommend more sophisticated designs when needed.</li><li>
You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution.</li><li>
You will communicate a compelling rationale and narrative to peers and partners.</li><li>
You will influence action and results through writing clearly in an accessible way for a wide audience. Anticipate questions, structuring presentations around a clear narrative, and is concise in what's included. Present clearly and engagingly.</li><li>
You will frame challenging business problems as a data science problem and concrete set of tasks.</li><li>
You will leverage others&rsquo; skills, knowledge, and expertise effectively in problem solving and delivering impact.</li><li>
You will manage stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises.</li><li>
You will manage the backlog well, including across large cross-functional teams. Deliver projects to maximize business impact coordinated with wider business timing.</li></ul>
Experience and qualifications:<ul><li>
Bachelor's or master's degree in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar</li><li>
6+ years of experience in industry or equivalent</li><li>
Strong proficiency with Python / R and SQL.</li><li>
Demonstrated ability to build and maintain multiple data science project/product in production environments.</li><li>
Extensive experience one or more of the following: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis</li><li>
Record of accomplishment for executing independent projects and leading complex, multi-functional projects with several dependencies.</li><li>
You understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, data modeling, and AI/ML algorithms; strong data science knowledge and skills.</li><li>
You have working and/or theoretical knowledge on NLP and Transformers</li><li>
Advanced proficiency in GitHub for collaborative development and version control</li><li>
Proficient in cloud computing, specializing in big data applications and leveraging MLOps for streamlined machine learning model deployment.</li><li>
You have proven knowledge of ML techniques such as Neural Networks, XGBoost, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods.</li><li>
You have a passion for solving problems and finding patterns and insights within structured and unstructured data</li></ul>
#LI-MF2
Accommodation requests
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.
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.
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
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.
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

GoDaddy

<div><div><ul><li>R021925
</li></ul></div><div><ul><li>Gurugram, Haryana, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
 <div>Location Details: Gurugram (Hybrid)

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
Hybrid: This is a hybrid position. You&rsquo;ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join our Team&hellip;

If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.

What you'll get to do...
<ul>
<li>Develop and implement advanced machine learning algorithms.</li>
<li>Build Intelligent Software using Large Language Models (AI Agents).</li>
<li>Design and refine ML models to enhance their performance, scalability, and robustness.</li>
<li>Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems.</li>
<li>Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives.</li>
<li>Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry.</li>
</ul>
Your experience should include...
<ul>
<li>6+ years of overall experience in machine learning related roles and Master&rsquo;s degree or PhD in computer science, engineering, statistics, or related fields.</li>
<li>Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.</li>
<li>Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.</li>
<li>Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc.</li>
<li>Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).</li>
</ul>
You might also have...
<ul>
<li>Experience building conversational systems.</li>
<li>Experience in designing comprehensive evaluations and verification methods.</li>
<li>Proficiency in Typescript is a plus.</li></ul> 


We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies.</div>

Senior Machine Learning Scientist

<div><div><ul><li>R021124
</li></ul></div><div><ul><li>Bengaluru, Karnataka, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
 <div>Location Details: India (Remote)

At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely

Remote: This is a remote position, so you&rsquo;ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings

Join our team

If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models for Pricing + Bundling, and Generative AI projects. You will work closely with ML engineers to develop ML pipelines to solve high-impact problems. You will also collaborate with other platform teams to ensure the quality and reliability of our ML solutions

What you'll get to do...
<ul>
<li>Develop and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch. Design and refine ML models to enhance their performance, scalability, and robustness</li>
<li>Analyze and interpret complex data sets to inform model development and ensure accuracy and effectiveness. Stay abreast of the latest developments in machine learning and artificial intelligence, integrating new methodologies and techniques as appropriate</li>
<li>Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments and collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives</li>
<li>Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry</li>
</ul>
Your experience should include...
<ul>
<li>4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles</li>
<li>Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc</li>
<li>Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc</li>
<li>Experience in writing unit tests and documentation for ML code</li>
</ul>
You might also have...
<ul>
<li>Degree in computer science, engineering, statistics, or related fields</li>
<li>Familiarity with prompt engineering and large language models (LLM) is a plus</li>
<li>Proficiency in multiple programming languages</li>
<li>Understanding of containerization technologies like Docker and orchestration tools like Airflow</li>
</ul>
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us

At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com

GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies</div>

Observe.AI

<div>About Us

Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we&rsquo;re creating a future where every customer experience is smarter, faster, and more impactful.

Why Join Us

At our core, we are shaping how AI transforms real-world challenges in the contact center space. You will join a team that thrives on experimentation, rapid learning, and applied research, where every project is a chance to design, test, and bring new ideas into production, publish in top conferences, and share insights with the community via technical blogs.

From developing agentic AI and LLM powered solutions to creating evaluation frameworks and deploying end to end pipelines, your work will have direct customer impact. We value curiosity, collaboration, and the courage to push boundaries, in areas of large language models, query understanding, intent classification, information retrieval, dialog systems, natural language generation, and resource constrained text systems.

If you are excited to turn breakthroughs in Mult-Agent systems, LLMs, NLP, and ML into practical outcomes, and to work side by side with product and engineering teams to make ideas real, this is where your research mindset, technical expertise, and creativity will thrive. 


What you&rsquo;ll be doing:
<ul>
<li>Experiment and Iterate on ML Algorithms: Design and implement use-case&ndash;specific machine learning algorithms - spanning Agentic AI, LLMs, and traditional ML models - while optimizing models and pipelines, and deploying end-to-end solutions to address real business challenges.</li>
<li>Evaluation Frameworks: Develop robust evaluation frameworks, incorporating diverse datasets, appropriate metrics, and human-judge alignment - to rigorously assess language model performance and ensure standards of accuracy, efficiency, and reliability.</li>
<li>Paper and Blog Submissions: Draft comprehensive scientific reports detailing approaches and results for submission to top conferences (e.g., EMNLP, NAACL, ACL, Interspeech), while also authoring blog posts on company blog space to broaden impact and share insights with the wider community.</li>
<li>Cross-Functional Collaboration, Transform Trends into Practical Outcomes: Partner with product and engineering teams to align on model requirements and integrate feedback, while applying hands-on experimentation to turn emerging trends into practical, high-impact solutions through both independent work and collaborative innovation.</li>
</ul>
What you&rsquo;ll bring to the role:
<ul>
<li>Experience: 3+ years of relevant experience in NLP/ML research or applied roles.</li>
<li>Experimental Mindset and Applied Research: You thrive on exploration - designing, running, and iterating on experiments to generate insights and optimize outcomes. You embrace new approaches, fail fast, learn quickly from results, and push boundaries.</li>
<li>LLM, SLM, NLP &amp; ML Expertise: Strong foundation in Natural Language Processing and Machine Learning, with direct experience developing, fine-tuning, evaluating, optimizing and deploying Small/Large Language Models and other ML models like classifiers, embedding models.</li>
<li>Bias to Action and Outcomes: You have deep expertise in a variety of research methods, but you don't hold those methods precious. You can flexibly apply necessary tools in an unconstrained way to drive impact for the business.</li>
<li>Technical Proficiency: Advanced Python programming skills, with expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face, along with frameworks of multi-agent systems and tool and function calling.</li>
<li>Trend Awareness: Actively stay up to date with the latest breakthroughs in AgenticAI, Generative AI, models, methods, and tools, and apply them thoughtfully in your work.</li>
<li>Collaborative Problem Solver: Comfortable working cross-functionally, sharing insights, and valuing diverse perspectives to drive collective problem-solving.</li>
<li>Analytical &amp; Critical Thinker: Strong ability to interpret model outputs, identify the categories of errors and LLM limitations, and implement solutions for improved performance.</li>
</ul>
Perks &amp; Benefits
<ul>
<li>Excellent medical insurance options and free online doctor consultations</li>
<li>Yearly privilege and sick leaves as per Karnataka S&amp;E Act</li>
<li>Generous holidays (National and Festive) recognition and parental leave policies</li>
<li>Learning &amp; Development fund to support your continuous learning journey and professional development</li>
<li>Fun events to build culture across the organization</li>
<li>Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)</li>
</ul>
Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply.</div>

Machine Learning Scientist - NLP New

oura

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day.
 
We are looking for a Senior Machine Learning Data Scientist to join us to build our next-gen machine learning algorithms. You will be one of the key team members developing new exciting sensing capacities and user-facing features for Oura’s next-gen products.
 
We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.
 
This is a remote US role with a slight preference for candidates based on New York, Boston, or in the Eastern time zone.
 
What you will do: 
Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products.
 Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product.
 Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms.
 Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis.
 Coordinate with cross-functional teams and overseas stakeholders.
 
Requirements
 
We would love to have you on our team if you have: 
Have a PhD degree in biomedical engineering, electrical engineering, biostatistics, computer science or a related field with 3+ years of work experience, OR a Master degree in related fields with 5+ years work experience. Experience with biosignal or movement data is a plus.
 Have experience building and deploying machine learning models from start to finish (i.e., data wrangling/queries, data cleaning, model building & tuning, statistical evaluation of model performance). Experience deploying on the edge with compute-limited devices is a plus.
 Have 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc). Experience with C/C++ is a plus.
 Have some experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc)
 Have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
 Have good asynchronous communication skills and can accommodate occasional off hour meetings to work with Oura’s European teams
 
Benefits
 
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
 
What we offer: 
Competitive salary and equity packages
 Health, dental, vision insurance, and mental health resources
 An Oura Ring of your own plus employee discounts for friends & family
 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
 Paid sick leave and parental leave
 
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
 
Region 1 $162,000- $203,000
 Region 2 $150,000- $187,000
 Region 3 $139,000- $174,000
 
A recruiter can determine your zones/tiers based on your US location.
 
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)
 
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
 
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
 
Disclaimer: Beware of fake job offers!
 We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
 
Our jobs are listed only on the ŌURA Careers page and trusted job boards.
 We will never ask for personal information like ID or payment for equipment upfront.
 Official offers are sent through Docusign after a verbal offer, not via text or email.
 
Stay cautious and protect your personal details.
 
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Senior Machine Learning Data Scientist

Saragossa

<div>
 
 AI/ML Scientist - $250-$275k Base
 
 
 
 
 
 Think of an AI/ML Scientist as part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation.
 
 
 
 
 
 You know that spark you get when you take a research idea and actually turn it into something real, something that solves a tough customer problem? That&rsquo;s exactly what we&rsquo;re looking for.
 
 
 
 
 
 We&rsquo;ve built massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. That unlocks something big: the ability to generate the large scale datasets that power the next generation of ML models across industries.
 
 
 
 
 
 In this role, you&rsquo;ll be on the front lines of building and productizing novel machine learning approaches for physics based problems from CFD to thermal simulation. Your work won&rsquo;t live in a research paper alone. It will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what&rsquo;s possible in Physics AI.
 
 
 
 
 
 Apply Now!
 
 
 
 
 
 No up-to-date resume required.
 
 
 
</div>

AI/ML Scientist

UNP Consultancy & Training PVT. LTD.

<div>
 
 
 Job Title:
 
 Data Scientist (PhD)
 
 
 
 Location:
 
 Hyderabad, Telangana
 
 
 
 Employment Type:
 
 Full-Time / Permanent
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a highly skilled
 
 Data Scientist with a PhD
 
 in Computer Science, Statistics, Mathematics, Data Science, or a related field to join our team. The ideal candidate will bring advanced research, analytical, and problem-solving skills to design and implement data-driven solutions that drive strategic business decisions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and develop advanced machine learning and statistical models to solve complex business challenges.
 </li>
 <li>
 Conduct in-depth research and experimentation to innovate and improve data science methodologies.
 </li>
 <li>
 Collect, clean, and analyze large, structured and unstructured datasets to extract actionable insights.
 </li>
 <li>
 Collaborate with cross-functional teams (Engineering, Product, Business) to integrate models into production systems.
 </li>
 <li>
 Perform hypothesis testing, predictive modeling, and optimization to support strategic initiatives.
 </li>
 <li>
 Publish internal technical reports and, where appropriate, contribute to research papers/patents.
 </li>
 <li>
 Stay updated with the latest research trends in AI/ML, deep learning, NLP, and data analytics.
 </li>
 <li>
 Mentor junior data scientists and provide thought leadership within the team.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 PhD
 
 in Computer Science, Statistics, Applied Mathematics, Data Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Proven experience in applying machine learning, deep learning, and statistical techniques to real-world problems.
 </li>
 <li>
 Strong programming skills in Python, R, or similar languages, with expertise in libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
 </li>
 <li>
 Proficiency in SQL and working with large-scale data platforms (Hadoop, Spark, or similar).
 </li>
 <li>
 Strong background in mathematics, probability, linear algebra, and optimization.
 </li>
 <li>
 Experience with research publication or contribution to open-source projects is a plus.
 </li>
 <li>
 Excellent communication and presentation skills to explain complex technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience working with cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Exposure to natural language processing (NLP), computer vision, or reinforcement learning.
 </li>
 <li>
 Strong domain expertise in [Healthcare, Finance, Retail, etc. &ndash; customize as per your industry].
 </li>
 <li>
 Track record of academic publications or patents in AI/ML/Data Science.
 </li>
 </ul>
 
 
</div>

Data Scientist

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