Research Scientist - Hyderabad

Hyderabad, Andhra Pradesh Eurofins

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Job Description

Job Description:

Medicinal chemistry; Research and development; Literature search; Scifinder / Reaxys; Design and synthesis; combiflash/Biotage; C-C coupling etc 

Qualifications

MSC - Organic Chemistry.

Additional Information

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Trainee - Research Scientist - Discovery

Hyderabad, Andhra Pradesh Eurofins

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Job Description

Job Description :

Department - Discovery

Qualification - MSC - Organic Chmeistry

Role - Trainee

Mode - Internship

Stipend - 16000

Location - Hyderabad

Qualifications

MSC - Organic Chemistry

Additional Information

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Cognitive Research Scientist (SME...

Hyderabad, Andhra Pradesh Anicalls (Pty) Ltd

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• Experience in any of the following is highly desirable
• prior experience in a Research & Development capacity Solid portfolio of novel contributions,
• designs, prototypes, and innovations Data Science and Machine Learning Frameworks (R, Apache Spark / MLlib, TensorFlow, Scikit- learn, etc.)
• Natural Language Processing (NLTK, CoreNLP, Gensim, Spacy, etc.)
• Experience with Big- Data technologies and cloud (AWS, other) Linux / Bash scripting Relational
• Agile development methodology CI/ CD Development environments and tools (GIT, Maven, Jenkins, etc.)
• Databases (Oracle, PostgreSQL, MySQL, etc.)

• Strong analytical skills. Demonstrated skills in problem assessment and resolution Ability to work collaboratively in a team setting with multidisciplinary team members
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Hiring for Biotechnology research scientist / research associate

Hyderabad, Andhra Pradesh 2coms

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Biotechnology Research Scientist/Research Associate


We are in search of a highly motivated and skilled Biotechnology Research Scientist/Research Associate to join our (e.g., R&D, Discovery, Process Development) team. The ideal candidate will be responsible for designing, executing, and analyzing experiments to advance our research projects and contribute to the development of innovative biotechnological solutions. This role demands a strong theoretical background in biotechnology, complemented by robust practical laboratory skills and a passion for scientific inquiry.


Key Responsibilities:


  • Experimental Design & Execution:
    • Develop and optimize laboratory protocols and methodologies to ensure accuracy, reproducibility, and efficiency.
    • Troubleshoot experimental issues and develop solutions to overcome technical challenges.

  • Data Analysis & Interpretation:
    • Collect, organize, and analyze complex experimental data using statistical and computational tools.
    • Interpret results, draw meaningful conclusions, and identify patterns or trends.
    • Maintain accurate, detailed, and up-to-date laboratory records and electronic lab notebooks (ELNs).

  • Collaboration & Communication:
    • Collaborate effectively with cross-functional teams to achieve project goals and milestones.
    • Prepare comprehensive technical reports, presentations, and scientific publications to communicate research findings internally and externally.
    • Present research findings at internal meetings, conferences, and seminars.

  • Laboratory Management & Safety:
    • Ensure strict adherence to laboratory safety standards, regulatory guidelines, and quality control protocols.
    • Assist with the maintenance and calibration of laboratory equipment and instrumentation.
    • Manage laboratory supplies and inventory effectively.

  • Continuous Learning & Innovation:
    • Stay abreast of the latest scientific literature, technological advancements, and industry trends in biotechnology.
    • Contribute to the intellectual property of the company by identifying potential applications for novel discoveries and assisting with patent applications.
    • Proactively seek opportunities for skill development and process improvement.

  • Additional responsibilities may include):
    • Lead specific research projects or sub-projects.
    • Mentor and guide junior research staff and technicians.
    • Contribute to the preparation of grant applications and funding proposals.
    • Take a more significant role in strategic planning for research directions.

Qualifications:


  • Higher specialized education in Biotechnology, Biochemistry, or related field.

For PHD holders, No Work Experience Requirement


Experience:


  • Minimum 5 years of experience in scientific publications, or authorship of an invention, utility model, or industrial


Requirements

  • Qualifications:

Higher Specialized education in Biotechnology, Biochemistry or related field.

For PHD holders , No Work Experience Requirement


  • Experience:
    • Minimum 5 years of experience  in scientific publications, or authorship of an invention, utility model, or industrial design.
    •  

Skills:

    • Excellent communication, presentation, and interpersonal skills.
    • Proven track record of develop plans, guidelines, and protocols for conducting research.
    • Conduct Objective evaluations of scientific / technical programs, projects and experimental developments.
    • Organize the collection and analysis of scientific/technical information related to experimental and research work



Benefits

  • Competitive salary of  US $ 1,000 - $ 1400 per month. ( Based on Skills and Experience / Fresher can also apply )
  • Visa Support - Cost and renewal covered
  • Health & Wellness: Medical insurance provided
  • Travel and Relocation: Transportation cost and return air fare covered
  • Accommodation: Provided
  • Living Expenses: Employees responsibility



This advertiser has chosen not to accept applicants from your region.

Hiring for Biotechnology research scientist / research associate

Hyderabad, Andhra Pradesh 2coms

Posted today

Job Viewed

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Job Description

Job Description

Biotechnology Research Scientist/Research Associate


We are in search of a highly motivated and skilled Biotechnology Research Scientist/Research Associate to join our (e.g., R&D, Discovery, Process Development) team. The ideal candidate will be responsible for designing, executing, and analyzing experiments to advance our research projects and contribute to the development of innovative biotechnological solutions. This role demands a strong theoretical background in biotechnology, complemented by robust practical laboratory skills and a passion for scientific inquiry.


Key Responsibilities:


  • Experimental Design & Execution:
    • Develop and optimize laboratory protocols and methodologies to ensure accuracy, reproducibility, and efficiency.
    • Troubleshoot experimental issues and develop solutions to overcome technical challenges.

  • Data Analysis & Interpretation:
    • Collect, organize, and analyze complex experimental data using statistical and computational tools.
    • Interpret results, draw meaningful conclusions, and identify patterns or trends.
    • Maintain accurate, detailed, and up-to-date laboratory records and electronic lab notebooks (ELNs).

  • Collaboration & Communication:
    • Collaborate effectively with cross-functional teams to achieve project goals and milestones.
    • Prepare comprehensive technical reports, presentations, and scientific publications to communicate research findings internally and externally.
    • Present research findings at internal meetings, conferences, and seminars.

  • Laboratory Management & Safety:
    • Ensure strict adherence to laboratory safety standards, regulatory guidelines, and quality control protocols.
    • Assist with the maintenance and calibration of laboratory equipment and instrumentation.
    • Manage laboratory supplies and inventory effectively.

  • Continuous Learning & Innovation:
    • Stay abreast of the latest scientific literature, technological advancements, and industry trends in biotechnology.
    • Contribute to the intellectual property of the company by identifying potential applications for novel discoveries and assisting with patent applications.
    • Proactively seek opportunities for skill development and process improvement.

  • Additional responsibilities may include):
    • Lead specific research projects or sub-projects.
    • Mentor and guide junior research staff and technicians.
    • Contribute to the preparation of grant applications and funding proposals.
    • Take a more significant role in strategic planning for research directions.

Qualifications:


  • Higher specialized education in Biotechnology, Biochemistry, or related field.

For PHD holders, No Work Experience Requirement


Experience:


  • Minimum 5 years of experience in scientific publications, or authorship of an invention, utility model, or industrial


Requirements

  • Qualifications:

Higher Specialized education in Biotechnology, Biochemistry or related field.

For PHD holders , No Work Experience Requirement


  • Experience:
    • Minimum 5 years of experience  in scientific publications, or authorship of an invention, utility model, or industrial design.
    •  

Skills:

    • Excellent communication, presentation, and interpersonal skills.
    • Proven track record of develop plans, guidelines, and protocols for conducting research.
    • Conduct Objective evaluations of scientific / technical programs, projects and experimental developments.
    • Organize the collection and analysis of scientific/technical information related to experimental and research work



Benefits

  • Competitive salary of  US $ 1,000 - $ 1400 per month. ( Based on Skills and Experience / Fresher can also apply )
  • Visa Support - Cost and renewal covered
  • Health & Wellness: Medical insurance provided
  • Travel and Relocation: Transportation cost and return air fare covered
  • Accommodation: Provided
  • Living Expenses: Employees responsibility




Requirements
Minimum 5 years of experience in scientific publications, or authorship of an invention, utility model, or industrial For PHD holders, No Work Experience Requirement Qualifications: Higher specialized education in Biotechnology, Biochemistry, or related field.
This advertiser has chosen not to accept applicants from your region.

Machine Learning & Applied Research Scientist

Hyderabad, Andhra Pradesh Thomson Reuters

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Job Description

**About the Role**
- Familiarizing and adopting work methodology aligning with the existing ACoE organization.
- Contributing to the Solutioning/POCs for key initiatives already in-flight
- Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence
- Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery.
- Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value
- Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques.
- Implement NLP where applicable and complete the use cases as per requirements.
- Having experience in implementing chatbot functionality.
- Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI
- Create technical documentation for reference and reporting
- Develop intuitive software that meets and exceeds the needs of the company
- Experience working with SAP (ERP), SFDC, Microsoft Office preferred
- Have led a team of junior developers to guide/mentor them on best practices of RPA solution
- Owned review of production ready deliverables.
- Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques
- Experience in creating workflows, storyboards, user flows, process flows and site maps.
- Knowledge of frameworks/systems like AngularJS, Git and more
- Experience in Power BI or any visualizations tools is preferrece

**About You**
- Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
- 3 to 8 years of experience.
- Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
- Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
- Can understand and translate between language and methodologies used both in research and engineering fields.
- Have been successfully taking and integrating Machine Learning solutions to production-grade software.

LI-MM1

**What's in it For You?**

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

- ** Hybrid Work Model**: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
- ** Wellbeing**: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
- ** Culture**:Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
- ** Learning & Development**:LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
- ** Social Impact**:Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
- ** Purpose Driven Work**:We have a superpower that we’ve never talked about with as much pride as we should - we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a c
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Director-Research Scientist (Artificial Intelligence, Machine Learning)

Hyderabad, Andhra Pradesh Franklin Templeton

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At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.

Come join us in delivering better outcomes for our clients around the world!

  • At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 12,000 employees working in 34 countries around the world are dedicated to servicing investment solutions for our clients in more than 160 countries. For more than 70 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team.

  • What is the FTT AI & Digital Transformation Team responsible for?

  • The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the technology function within Franklin Templeton Investments

  • What is the Director - Research Scientist – AI & Optimization responsible for?

  • The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves.

  • What are the ongoing responsibilities of a Director - Research Scientist – AI & Optimization?

  • As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development.

  • Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies

  • Mentor and guide a team of research scientists to achieve common objectives

  • Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders

  • Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers

  • Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally

  • Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate

  • Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks

  • Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management

  • Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals

  • Peer-review the work of other research scientists and improve the outcome of their research output

  • Create patent-worthy intellectual content, apply for patents, and win them

  • Take responsibility for winning industry awards for exceptional product research and innovative work products

  • Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner

  • Publish research works for conferences

  • Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side

  • Contribute to product development by ensuring alignment with research and design

  • Provide hands-on support where required to complete time-critical work successfully

  • Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions

  • What ideal qualifications, skills & experience would help someone to be successful?

  • Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a +

  • Relevant industry certifications

  • 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD

  • Track record of real innovation generating impact is essential

  • Demonstrated ability to create intellectual content, publish papers, and obtain patents

  • Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable

  • Structured thinking and exceptional mathematical skills

  • Excellent team player with the ability to work with ambiguity and thrive in chaos

  • Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization

  • Solid experience with AWS and/or Azure

  • Familiar with Python, PySpark, SQL, Hadoop, C++

  • Proven ability to take initiative and work under pressure in a changing, fast paced environment

  • Exceptional decision-making skills, with the ability to prioritize across needs given limited resources

  • Thrives in a startup-like environment: loves dealing with a fast pace and changing needs

  • Ability to build relationships both inside and outside of the product organization

  • Ability to narrate a story for a problem along with the capacity to dive into minute details

  • Superlative communication and consensus-building skills

  • Work Shift Timings - 2:00 PM - 11:00 PM IST

    Experience our welcoming culture and reach your professional and personal potential!

    Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

     
    By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.

  • Professional development growth opportunities through in-house classes and over 150 Web-based training courses

  • An educational assistance program to financially help employees seeking continuing education

  • Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)

  • Life insurance for protection of employees’ families

  • Personal accident insurance for protection of employees and their families

  • Personal loan assistance

  • Employee Stock Investment Plan (ESIP)

  • 12 weeks Paternity leave

  • Onsite fitness center, recreation center, and cafeteria

  • Transport facility

  • Child day care facility for women employees

  • Cricket grounds and gymnasium

  • Library

  • Health Center with doctor availability

  • HDFC ATM on the campus

  • Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. 
     
    Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

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    About the latest Research scientist Jobs in Hyderabad !

    LLM Research Data Scientist

    Hyderabad, Andhra Pradesh Innodata Inc.

    Posted today

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    Job Description

    Join Innodata’s global Data Science team as an LLM Research Data Scientist and drive innovation in Multimodal Large Language Models and Agentic Workflows. In this position, you’ll contribute across the full LLM lifecycle, from data collection and post-training to evaluation and benchmarking. Collaborate closely with our data engineering teams to translate data into client-facing insights. Enjoy the freedom to publish scientific work and contribute to open-source initiatives.


    Key Responsibilities

    •Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations.

    •Collaborate with internal teams and clients to operationalize findings.

    •Specialize in one of the following focus areas:

    oData: Collection, curation, and synthetic data creation

    oModeling: Multimodal post-training and agentic workflow creation

    oEvaluation: LLM and Agent benchmarking and performance analysis


    What We Look For

    •Strong communication and collaboration skills across technical and non-technical audiences

    •Ability to work autonomously, self-motivated, ambitious

    •Client-facing mindset: active listening, clear articulation of findings and recommendations

    •Willingness to help upskill teammates in data science and generative AI fundamentals

    Qualifications

    •Master’s degree in Data Science, Computer Science or a related field

    •10+ years of experience in data science and client-facing roles

    •High proficiency with AI tools (e.g., Copilots, GenAI platforms) and applying them to complex real-world use cases

    •Expert-level Python skills, with deep familiarity with LLM frameworks for data manipulation, post training and evaluation

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    Research Data Scientist, Payments

    Hyderabad, Andhra Pradesh Google

    Posted today

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    Job Description

    **Minimum qualifications**:

    - Master's degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience.
    - 8 years of experience as a statistician, bioinformatician, or data scientist, with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
    - Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages.

    **Preferred qualifications**:

    - Master's degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience.
    - 5 years of experience in data analysis or related fields (e.g., statistician, data scientist, computational biologist, bioinformatician).

    **About the job**:
    At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

    In this role, you will make Google Pay a trusted payments brand for users and merchants globally. You will help deliver a Payments Platform that makes it easy and fast to build excellent and consistent payment experiences across Google products.

    **Responsibilities**:

    - Bring the analytic, statistical aptitude, and data science principles to drive strategic and tactical product and business decisions.
    - Engage with cross-functional teams for different product initiatives across consumers, merchants and payments platform, and help define, implement, and evaluate measurement methodology to drive decisions.
    - Combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.

    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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    Research Data Scientist, Payments

    Hyderabad, Andhra Pradesh Google

    Posted today

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    Job Description

    **Minimum qualifications**:

    - Master's degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience.
    - 8 years of experience as a statistician, bioinformatician, or data scientist, with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
    - Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages.

    **Preferred qualifications**:

    - Master's degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience.
    - 5 years of experience in data analysis or related fields (e.g., statistician, data scientist, computational biologist, bioinformatician).

    **About the job**:
    At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

    In this role, you will make Google Pay a trusted payments brand for users and merchants globally. You will help deliver a Payments Platform that makes it easy and fast to build excellent and consistent payment experiences across Google products.

    **Responsibilities**:

    - Bring the analytic, statistical aptitude, and data science principles to drive strategic and tactical product and business decisions.
    - Engage with cross-functional teams for different product initiatives across consumers, merchants and payments platform, and help define, implement, and evaluate measurement methodology to drive decisions.
    - Combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.

    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
    This advertiser has chosen not to accept applicants from your region.
     

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