applied scientist

data analyst

data scientist

RateGain

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist
 
 with around 3 years of experience to join our analytics and machine learning team in the Ad Tech domain. In this role, you will apply statistical and machine learning techniques to improve campaign targeting, audience segmentation, and recommendation systems. You will collaborate with engineers, analysts, and product teams to transform data into insights and deploy models that directly impact business outcomes. This position is ideal for someone eager to take ownership of end-to-end projects while continuing to expand their expertise in advanced machine learning and applied statistics.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 machine learning and statistical models
 
 to solve business problems in advertising and marketing.
 </li>
 <li>
 Conduct
 
 exploratory data analysis (EDA)
 
 to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Design and run
 
 experiments (e.g., A/B testing)
 
 to evaluate impact and validate hypotheses.
 </li>
 <li>
 Work with engineers to
 
 build and maintain scalable data pipelines
 
 that support modeling and analytics.
 </li>
 <li>
 Communicate results effectively through
 
 dashboards, visualizations, and presentations
 
 .
 </li>
 <li>
 Stay up to date with new techniques in
 
 machine learning, causal inference, and recommendation systems
 
 and apply them where relevant.
 </li>
 </ul>
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Physics).
 </li>
 <li>
 ~3 years of experience applying
 
 machine learning and statistical methods
 
 in a professional setting.
 </li>
 <li>
 Strong proficiency in
 
 Python or R
 
 and
 
 SQL
 
 .
 </li>
 <li>
 Experience with ML frameworks such as
 
 scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Hands-on knowledge in at least one of the following:
 
 A/B testing, causal inference, NLP, or recommendation systems
 
 .
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills.
 </li>
 </ul>
 
 
 
 
 Nice-to-Have
 
 
 <ul>
 <li>
 Prior experience in
 
 Ad Tech, digital marketing, or related industries
 
 .
 </li>
 <li>
 Familiarity with
 
 big data and distributed systems
 
 (e.g., Spark, Databricks, GCP).
 </li>
 <li>
 Experience with
 
 time series forecasting
 
 or
 
 advanced NLP techniques
 
 .
 </li>
 </ul>
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Are you an
 
 Applied Scientist II
 
 passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
 </li>
 <li>
 Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of industry experience in applied machine learning or data science roles.
 </li>
 <li>
 Proficiency in Python and ML libraries such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience developing and evaluating generative AI models.
 </li>
 <li>
 Familiarity with NLP techniques and content understanding.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Ability to tackle open-ended problems and deliver practical, scalable solutions.
 </li>
 <li>
 Experience deploying ML models in production environments.
 </li>
 <li>
 Exposure to full product lifecycle from prototyping to deployment and iteration.
 </li>
 <li>
 Contributions to research publications, patents, or open-source projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

Vensure Employer Solutions

<div>
 
 
 Job Title: Data Analyst
 
 
 
 
 Location:
 
 Noida
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a detail-oriented
 
 Data Analyst
 
 to join our team. The ideal candidate will have strong analytical skills, experience in
 
 Data Modelling
 
 and
 
 Data Warehousing
 
 , and a proven ability to turn complex data into actionable insights. A
 
 Six Sigma Certification
 
 will be a significant advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to identify trends and patterns.
 </li>
 <li>
 Design and implement
 
 data models
 
 to support business intelligence and reporting needs.
 </li>
 <li>
 Develop and maintain
 
 data warehousing
 
 solutions for efficient data storage and retrieval.
 </li>
 <li>
 Collaborate with cross-functional teams to provide data-driven recommendations.
 </li>
 <li>
 Ensure data accuracy, integrity, and compliance with organizational standards.
 </li>
 <li>
 Utilize statistical methods and tools to optimize processes and improve decision-making.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.
 </li>
 <li>
 Proven experience in
 
 Data Modelling
 
 and
 
 Data Warehousing
 
 .
 </li>
 <li>
 Strong knowledge of SQL, ETL processes, and data visualization tools (e.g., Power BI, Tableau).
 </li>
 <li>
 
 Six Sigma Certification
 
 preferred.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Strong communication skills to present insights effectively.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Familiarity with cloud-based data platforms (AWS, Azure, GCP).
 </li>
 <li>
 Knowledge of Python/R for data analysis and automation.
 </li>
 </ul>
 
 
 
 
 
 Apply Now:
 
 smitha.nair@vensure.com
 
</div>

Data Analyst

<div>
 
 Overview
 
 
 
 <ul>
 <li>
 Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for an Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation.
 </li>
 <li>
 Model Development &amp; Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation &amp; Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Experience contributing to research publications, patents, or open-source projects.
 </li>
 <li>
 Hands-on experience deploying ML models in production environments.
 </li>
 <li>
 Familiarity with the full product lifecycle, from ideation to deployment and iteration.
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist

Indus Valley Partners

<div>
 
 Job Duties Include
 
 
 
  Reference data setup - obtain raw data from client (vendors, funds, deals, projects,
 
 
 employees, agreements, etc.), analyze, convert, and load into database
 
 
  Define requirements for enhancements &ndash; meet with stakeholders and document detailed
 
 
 needs
 
 
  Prepare functional specifications &ndash; document requirements in greater detail and deliver to
 
 
 Developers to engineer the end solution
 
 
  Data interfaces integration &ndash; analyze and define data mapping and translation logic to allow
 
 
 automated, unattended transmission of data between systems
 
 
  Application configuration &ndash; design usage of data fields to enable accomplishing end
</div>

Operations Analyst

Capgemini

<div>
 
 Job Description
 
 
 
 Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution.
 
 
 
 Job Description - Grade Specific
 
 
 
 Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge.
</div>

Associate Business Advisor

Study Group

<div>
 
 
 
 
 
 Contract Type
 
 : Full-time, permanent&nbsp;&nbsp;
 
 
 Location
 
 : Noida
 
 
 
 JOB OVERVIEW
 
 
 
 As a HR Operations Specialist within the HR Shared Services team, you will play a crucial role in ensuring a seamless and positive experience for employee experience. This includes smooth execution of HR processes and transactions, maintaining data accuracy, and providing excellent customer service to employees and stakeholders worldwide. This role requires a strong understanding of HR operations, exceptional attention to detail, and the ability to work effectively in a fast-paced, global environment.
 
 
 
 Your primary focus will be to deliver a faster and quality service to support positive customer experience that sets the foundation for success and fosters a strong sense of belonging within our company.
 
 
 
 
 
 ABOUT THE ROLE
 
 
 
 
 
 <ul>
 <li>
 
 
 Benefits enrolment: Assist new hires with benefits enrolment processes, providing guidance on available options and answering questions related to healthcare, retirement plans, and other employee benefits.
 
 
 </li>
 <li>
 
 
 HR Process Management: Oversee and manage end-to-end HR processes post-employment, including but not limited to employee data management, offboarding and employee lifecycle changes.
 
 
 </li>
 <li>
 
 
 Data Accuracy and Integrity: Maintain accurate and up-to-date employee data in HR systems, ensuring compliance with data privacy regulations and company policies.
 
 
 </li>
 <li>
 
 
 Compliance: Stay abreast of local labour laws and regulations in various regions to ensure HR processes and practices remain compliant.
 
 
 </li>
 <li>
 
 
 Employee Support: Serve as the primary point of contact for employee inquiries related to HR operations, providing timely and accurate assistance and guidance.
 
 
 </li>
 <li>
 
 
 Collaboration: Partner closely with HR business partners, talent acquisition, payroll, finance, and other stakeholders to support business objectives and initiatives.
 
 
 </li>
 <li>
 
 
 Process Improvement: Continuously identify opportunities to streamline HR processes, enhance efficiency, and improve the employee experience.
 
 
 </li>
 <li>
 
 
 Documentation &amp; Reporting: Maintain comprehensive documentation of HR processes, procedures, and workflows &amp; report when necessary.
 
 
 </li>
 </ul>
 
 
 
 ABOUT YOU
 
 
 
 <ul>
 <li>
 
 
 Previous HR Operations experience of working in a global HR Environment
 
 
 </li>
 <li>
 
 
 Experience of working with a HR ticketing system
 
 
 </li>
 <li>
 
 
 Experience of using MS office suite to produce letters, record data
 
 
 </li>
 <li>
 
 
 Bachelor&rsquo;s degree preferably in Human Resources, Business Administration, or related field.
 
 
 </li>
 <li>
 
 
 Good Communication skills (Verbal/Written)
 
 
 </li>
 <li>
 
 
 3+ years of experience in HR operations or a similar role within a global organization.
 
 
 </li>
 <li>
 
 
 Strong understanding of HR processes and best practices, including onboarding, offboarding, data management, and compliance.
 
 
 </li>
 <li>
 
 
 Proficiency in HRIS systems and Microsoft Office Suite (Excel, Word, PowerPoint).
 
 
 </li>
 <li>
 
 
 Excellent communication and interpersonal skills, with the ability to interact effectively with employees at all levels of the organization.
 
 
 </li>
 <li>
 
 
 Experience working in a shared services or centralized HR environment is preferred
 
 
 </li>
 <li>
 
 
 Must have global mindset
 
 
 </li>
 </ul>
 
 
 
 
 
 ABOUT US
 
 
 
 Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we are able to provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available.
 
 
 
 ORGANISATIONAL COMPLIANCE
 
 
 
 Study Group is proud of its high standards in safeguarding&nbsp;and recognises&nbsp;its importance in enabling the best possible student experience and outcomes. For&nbsp;successful applicants, the following checks will be conducted- Criminal Background Check (country-specific), x2 References, ID and Right to Work checks as well as Education Verification.
 
 We are proud to be an equal opportunity employer and we strive to create a diverse and inclusive workplace. We are committed to providing equal opportunities for all individuals, regardless of race, gender, religion, nationality, or any other factor. We believe that the best person for the job should be selected based on skills and experience alone. Your information will be kept confidential and stored securely. Please see our&nbsp;Privacy Policy.
 
 
 
 
 We adopt a rolling recruitment process meaning that we review applications as they are submitted. To avoid disappointment, please ensure that you apply ASAP.
 
 
 
 
</div>

Global HR Operations Specialist

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