data science analyst

eBay

<div><p>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.</p><p></p><p>
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.</p><p></p><p>
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.</p><p></p><p><b>
About the role and the team:</b></p><p>
eBay&rsquo;s <b>India Analytics Center</b> is a vital hub within our global analytics organization, bringing together a team of 75+ talented business analysts, data scientists, and machine learning engineers. We partner across key business areas &mdash; including Customer Service, Finance, Category Management, Seller Experience, Shipping &amp; Logistics, and Monetization &mdash; to deliver data-driven insights that shape eBay&rsquo;s strategy and customer experience.</p><p>
We&rsquo;re looking for a <b>Data Science Analyst</b> to join our <b>Customer Service Science</b> team, with deep expertise in <b>Large Language Models (LLMs)</b> and <b>natural language understanding (NLU)</b>. In this role, you&rsquo;ll help evolve <b>Nexus</b>, our intelligent AI-powered system that analyzes, summarizes, and surfaces customer pain points from massive volumes of unstructured data &mdash; spanning eBay&rsquo;s listing posts, customer support conversations, surveys, and social media feedback.</p><p>
As part of this team, you&rsquo;ll play a key role in transforming how eBay listens to and acts on customer feedback. You&rsquo;ll work at the intersection of <b>AI research, data science, and business intelligence</b>, collaborating closely with product managers, UX researchers, engineers, and analysts. You&rsquo;ll design and deploy models that turn qualitative feedback into actionable insights and integrate seamlessly with a <b>JavaScript-based front end</b> that empowers business and product stakeholders to explore and act on customer sentiment in real time.</p><p></p><p><b>
What you will accomplish:</b></p><ul><li><b>
Modeling &amp; NLP Development</b><ul><li>
Design <b>LLM-based pipelines</b> (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.</li><li>
Develop <b>summarization, clustering, and topic modeling</b> approaches to group recurring themes across markets and product lines.</li><li>
Apply <b>prompt engineering</b>, <b>retrieval-augmented generation (RAG)</b>, and <b>embedding search</b> to improve model accuracy and relevance.</li><li>
Use <b>machine learning </b>methods in concert with LLM.</li></ul></li></ul><p></p><ul><li><b>
Data Engineering &amp; Processing</b><ul><li>
Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).</li><li>
Ensure <b>data quality, scalability, and compliance</b> with internal governance and data privacy policies.</li><li><b>
Productionize models</b> and integrate outputs with downstream systems and dashboards.</li></ul></li></ul><p></p><ul><li><b>
Insights Delivery &amp; Visualization</b><ul><li>
Design and build <b>interactive visualizations</b> (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.</li><li>
Partner with Insights teams to create <b>data stories and presentations</b> that influence business strategy using clear, human-readable summaries of complex findings.</li></ul></li></ul><p></p><p><b>
What you will bring:</b></p><ul><li>
Ability to derive <b>insight</b> from data, <b>visualize</b> it appropriately and <b>influence</b> others to drive outcomes</li><li>
MSc or PhD in <b>Computer Science, Data Science, Statistics, or a related field</b>.</li><li>
4+ years of experience in <b>machine learning</b>, <b>NLP</b>, or <b>data-driven product development</b>.</li><li>
Strong coding proficiency in <b>Python</b> (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)</li><li>
Strong experience with front end development with <b>JavaScript </b>and <b>data visualization libraries (e.g. D3.js)</b></li><li>
Experience deploying and managing machine learning services in containerized environments using <b>Docker</b> and <b>Kubernetes</b>.</li><li>
Deep understanding of <b>vector databases</b>, <b>semantic search</b>, and <b>embedding-based retrieval systems</b>.</li><li>
Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).</li><li>
Proven experience working with <b>large-scale unstructured text data</b>.</li></ul><p></p><p>
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.</p><p></p><p>
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.</p><p></p><p><br>
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</p></div>

Data Science Analyst

Accenture

<div><p><b>Job Title</b> &ndash; Ind &amp; Func AI Decision Science Analyst - S&amp;C GN</p><p><b>
Management Level</b> : 11 - Analyst</p><p><b>
Location</b>: Gurgaon</p><p><b>
Must have skills</b>: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration</p><p>
Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration</p><p><b>
Job Summary</b>: As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles &amp; Responsibilities:</p><p>
&ndash; Advanced Generative AI &amp; Agentic System Development</p><p>
o Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures</p><p>
o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously</p><p>
o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs</p><p>
o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities</p><p>
&ndash; Leverage Advanced Data Science Techniques:</p><p>
o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).</p><p>
o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.</p><p>
&ndash; Develop and Implement AI Models:</p><p>
o Build and deploy AI models and Generative AI applications.</p><p>
o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.</p><p>
o Evaluate model performance and implement iterative improvements.</p><p>
&ndash; Solution Integration and Deployment:</p><p>
o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.</p><p>
o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.</p><p>
&ndash; Innovation and Knowledge Sharing:</p><p>
o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.</p><p>
o Document methodologies and findings for effective knowledge sharing.</p><p>
Professional &amp; Technical Skills:</p><p>
&ndash; Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks.</p><p>
&ndash; Cloud &amp; Infrastructure: AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems</p><p>
&ndash; Specialized Knowledge: NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems</p><p>
&ndash; Experience in developing and AI/ML models.</p><p>
Professional &amp; Technical Skills:</p><p>
&ndash; The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows</p><p>
&ndash; Strong understanding of AI safety, alignment, and governance principles for autonomous systems</p><p>
&ndash; Experience with enterprise-grade AI agent deployments and production system management</p><p>
&ndash; This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects</p><p>
 About Our Company | Accenture</p></div><p></p>
<br>
<div><p><b>Experience</b>: Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment</p><p><b>
Educational Qualification</b>: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record</p></div>

S&C Global Network - AI - CDI - Data Science Analyst

The Cigna Group

<div><div><h3 class="jobSectionHeader"><b>ABOUT EVERNORTH:</b></h3><h3 class="jobSectionHeader"><b>
Evernorth</b><b>&#8480;</b><b> exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,</b><br>
<b>we solve the problems others don&rsquo;t, won&rsquo;t or can&rsquo;t.</b></h3><h3 class="jobSectionHeader"><b>
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.</b></h3><h3 class="jobSectionHeader"><b>
We are always looking upward. And that starts with finding the right talent to help us get there.</b></h3></div><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
Section 2: Position Overview</b></h3><h3 class="jobSectionHeader"><b>
Provide a concise summary of the position, its purpose, and its importance within the company.</b></h3></div><div><h3 class="jobSectionHeader"><b>
Section 1: Job Title</b></h3><h3 class="jobSectionHeader"><b>
Clearly state the position&rsquo;s title to convey the role and level of responsibility.</b></h3></div><h3 class="jobSectionHeader"><b>
 </b><b>HIH &ndash; Data Science Lead Analyst</b></h3><h3 class="jobSectionHeader"><b>
Job Description</b></h3><h3 class="jobSectionHeader"><b>
Excited to grow your career?</b></h3><h3 class="jobSectionHeader"><b>
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!</b></h3><h3 class="jobSectionHeader"><b>
Our people make all the difference in our success.</b></h3><h3 class="jobSectionHeader"><b>
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?</b></h3><h3 class="jobSectionHeader"><b>
Evernorth&rsquo;s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider &amp; Rx data, and behavioral/attitudinal data.</b></h3><h3 class="jobSectionHeader"><b>
Role Summary</b></h3><h3 class="jobSectionHeader"><b>
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth&rsquo;s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data &amp; Engineering to deliver code that is robust and ready to scale.</b></h3><div><h3 class="jobSectionHeader"><b>
Section 3: Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.</b></h3></div><h3 class="jobSectionHeader"><b>
&lt; &gt;Data acquisition, QC and exploratory analysis on transactional member dataCreate models using ML / AI techniques to predict risk and identify actionable insightsDeliver clean, reusable, and scalable codeWork closely with Data &amp; Engineering to deploy modelsPartner with senior team members on the latest analytic techniques, technologies, and methods</b></h3><div><h3 class="jobSectionHeader"><b>
Section 4: Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Specify the skills, experience, and education required for the role. Differentiate between the &ldquo;must-haves&rdquo; and &ldquo;nice-to-haves&rdquo;.</b></h3><h3 class="jobSectionHeader"><b>
Required skills</b><b>: List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b><b>: Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience.</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b><b>: List any &ldquo;nice-to-have&rdquo; experience, including industry experience, exposure to specific technologies, certifications, etc.</b></h3></div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Required Education</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience</b></h3><h3 class="jobSectionHeader"><b>
Required Skills</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required5-8 years of experience with Python, PySpark and its data science librariesExcellent oral and written communication skills</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Prior experience working in the healthcare industry, services ops or digital domainExperience with deploying predictive models into productionExperience working with business stakeholders</b></h3><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
These two sections will be &ldquo;standardized&rdquo; in the JD template and made not editable.</b></h3></div><h3 class="jobSectionHeader"><b>
Location &amp; Hours of Work</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)</b><b>Equal Opportunity Statement
</b></h3><h3 class="jobSectionHeader"><b><i>Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.</i></b></h3><p></p><p><b>
About Evernorth Health Services</b></p><div><div><div><div><div><div><div><p>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p></div></div></div></div></div></div></div></div>

HIH – Data Science Lead Analyst

Mount Sinai Health System

<div><b>Description</b><p>
The Supply Chain Analyst (Data Science Analyst I) collaborates with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. This individual demonstrates sound understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System.</p><b><br>
Responsibilities</b><p>
1. Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.</p>
<p>
a. Works with departmental staff to identify requirements for reporting and / or business intelligence tools.</p>
<p>
b. Identifies necessary data, data sources and methodologies.</p>
<p>
c. Collects, organizes, integrates, analyzes and interprets data.</p>
<p>
d. Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder.</p>
<p>
e. Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high quality metrics.</p>
<p>
f. Develops and may present reports, analyses and findings to senior management and others as scheduled or requested.</p>
<p>
2. Responsible for one or more of the following stakeholder groups:</p>
<p>
a. Contracting and Commercialization May assist in the modeling and forecasting contract scenarios, measuring ongoing performance and identify trends in performance to inform our clinical or contracting staff to improve contract outcomes.</p>
<p>
b. Care Management Helps to identify, understand and prioritize at-risk members in need of care management. Helps stratify our membership to optimally use resources to focus on the patients most in need, currently or in the future.</p>
<p>
c. Medical Directors Helps to identify utilization trends and variations across the different categories of health care services to assist the Medical Directors to focus their efforts to maximize contract performance and clinical effectiveness.</p>
<p>
d. Quality and Documentation Helps to link payer quality and documentation opportunities into operational analytic processes to maximize our quality scores, top line revenue and optimize the use of resources in concert with MS Health System contracts.</p>
<p>
e. I.T. / High Performance Computing in any ongoing projects.</p>
<p>
3. Acts as liaison/analyst for internal stakeholders, understands their needs and translates them into reporting and analytic solutions.</p>
<p>
4. Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked.</p>
<p>
5. Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.</p>
<p>
6. Helps identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities.</p>
<p>
7. Works closely with IT on the ongoing improvement of Mount Sinais integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.</p>
<p>
8. Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.</p>
<p>
9. Provides technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development and implementation of various reporting and BI tools tied to business unit reporting requirements. Creates new BI reports and interactive dashboards as required.</p>
<p>
10. Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.</p>
<p>
11. Ensures customers are adequately trained to use self-service BI tools and dashboards.</p>
<p>
12. Assists and may teach others within the organization on how to a) define meaningful process and performance measures, b) develop BI queries, and c) generate and use management reports effectively.</p>
<p>
13. Shares development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.</p>
<p>
14. Demonstrates proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.</p>
<p>
15. Other duties as assigned.</p><b><br>
Qualifications</b><ul><li>
BA or BS degree minimum, in a relevant field of study; Masters degree preferred.</li><li>
Experience in Healthcare Supply Chain highly desirable</li><li>
2 years minimum is preferred in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:</li><li>
Working knowledge of a health care EMR such as Epic/Clarity, aCW, etc.; a payor claims system such as Facets, Amisys, etc.; or a hospital/provider system such as IDX, Soarian, etc.</li><li>
Knowledge of the New York State Medicaid and CMS Medicare regulations and related reporting requirements, such as STARS,QARR, MMCOR, MEDS, RAPS and HEDIS is a strong plus.</li><li>
Experience working in a health plan or consulting actuarial, financial reporting or medical economics departments highly valuable.</li><li>
Experience as a nurse informaticist highly valuable.</li><li>
Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report</li><li>
PhD, MD or DO program may be substituted for experience.</li></ul><p></p><p><b><br>
Compensation Statement</b></p><p></p><p><br>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,473.00 - $106,049.07 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p><p>
, 576 - Contract Management - MSH, Mount Sinai Hospital</p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72473 - $106049.07 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Supply Chain Analyst (Data Science Analyst I) - Mount Sinai Hospital - Full Time - Monday-Friday, 9am-5pm

Etisalat

<div><div><b>Analytics &amp; Data Science Senior Analyst.Enterprise Information Management</b> <b>-</b> <b>(</b><b>250002S9</b><b>)</b></div><div><b>
Description</b><div></div><p><b><br>
Job Purpose</b></p><p>
Analytics and Data Science Senior Analyst will assist in using data analytics different approaches to deliver effective results and develop machine learning models to serve a variety of domains to deliver ever improving outcomes for our customers. The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech.</p><p><b>
Report To Position Name</b></p><p>
Apply your expertise in Machine Learning or relevant techniques to leverage data and business principles to create and drive large scale analytics solutions. Use analytical models to identify insights that are used to drive key decisions across the organization. Work cross-industry to define problem statements, collect data, build analytical models and make recommendations. Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models. Leverage tools like Python, R, Scala, Tableau, Hadoop &amp; SQL to drive efficient analytics. Routinely communicate metrics, trends and other key indicators to senior leadership. Lead and support various ad hoc projects, as needed. Partner with customers on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making. Work with customers to translate data and model results into tactical and strategic insights that are accurate, relevant, understandable and influence client decision-making. Collaborate with customers&rsquo; cross-functional data teams across business applications to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions. Be a self-starter, motivated by a passion for developing the best possible solutions to problems. Mentor and lead others as needed on best practices for design and implementation of cutting-edge analytics solutions.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
QUALIFICATIONS_ESSENTIAL</b></p><p>
Bachelor Degree</p><p><b><br>
QUALIFICATIONS_DESIRABLE</b></p><p>
N/A</p><p><b><br>
EXPERIENCE_ESSENTIAL</b></p><p>
Minimum 0 to 2 years of experience<br>
<br>
</p><p><b>EXPERIENCE_DESIRABLE</b></p><p>
N/A</p><p><b><br>
CERTIFICATIONS_ESSENTIAL</b></p><p>
N/A</p><div><br>
</div></div><div><b>
Job</b><b>:</b> Senior Analyst</div><div><b>
Organization</b><b>:</b> Etisalat-Misr</div><div><b>
Job Posting</b><b>:</b> 05/Nov/2025, 7:17:06 AM</div></div>

Analytics & Data Science Senior Analyst.Enterprise Information Management

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><p><b>Inviting Applications for </b><b>Data Scientist (Azure)</b></p>
</div>
<div><p><b>Experience Required: </b><b>6</b><b> to 10 Years</b></p>
</div>
<div><p><b>Location: Hyderabad</b></p>
</div>
<div><p><b>Job Description:</b></p>
</div>
<div><ul><li><div>8+ years of hands-on experience as Data scientist</div></li>
</ul>
</div></div></div></div><div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>378322</div>
</div><div><div><b>Desired Skills</b></div>
<div>AI &amp; Gen AI - Products &amp; Tools | Azure | Data Science</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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