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associate, ml data operations, go-ai operations Jobs in Hyderabad

associate, ml data operations, go-ai operations

atmospheric scientist/statistician i Jobs in Hyderabad

atmospheric scientist/statistician i

business analyst

data analyst - l4

data scientist

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Data Scientist

Danone

<div>
 
 
 About Danone Group:
 
 
 
 
 
 
 
 Mission: &lsquo;Bringing Health through Food to as Many people as Possible&rsquo;
 
 
 
 Danone is a global leader in food and beverages, focusing on Essential Dairy and Plant-based products, Waters, and Specialized Nutrition. Our mission is to bring health through food to as many people as possible by creating nutritious products, promoting healthy eating habits, and operating sustainably.
 
 
 
 
 
 With nearly 90,000 employees and products available in over 120 markets, Danone generated &euro;27.6 billion in sales in 2023. Our Renew Danone strategy aims to foster long-term value through innovation and community support.
 
 
 
 
 
 Danone is committed to making a positive impact economically, socially, and environmentally. In 2020, we became the first listed company to adopt the &lsquo;Soci&eacute;t&eacute; &agrave; Mission&rsquo; status, reflecting our vision for a sustainable future.
 
 
 
 
 
 More information can be found at
 
 www.danone.com
 
 .
 
 
 
 
 
 
 About Danone India:
 
 
 
 Danone operates in India as Nutricia International Pvt. Ltd, focusing on nutrition with a range of products catering to infants, toddlers, pregnant mothers, as well as adults. The company features well-known brands such as Aptamil, Dexolac, and Protinex. Danone employs over 1,000 individuals across India and generates a turnover exceeding &euro;150 million. The company's head office is located in Mumbai, with a manufacturing facility situated in Lalru, Punjab.
 
 
 
 
 
 Danone India is a Great Place To Work&reg; certified organization, which reflects our commitment to creating a workplace where people are empowered to contribute meaningfully, grow professionally, and feel a true sense of belonging.
 
 
 
 
 
 More information can be found at
 
 https://www.danone.in/
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 Work on the project of transformation of Demand Planning at global level in the roadmap of the digitalization for the Supply Chain. Creating and developing the ML models for all Danone categories\
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Be part of the design and development of the ML core models and the analytics behind them
 </li>
 <li>
 Understand and capture cross country needs
 </li>
 <li>
 Be able to build the common approach of ML scalable models for the demand planning teams of different countries
 </li>
 <li>
 Support with all the analytics needs for the adoption of the ML models
 </li>
 <li>
 Build outstanding best in class ML models for Demand Planning that are able to cope with more complex and less steady environments
 </li>
 <li>
 Set up KPI's to track ML and Statistical models performance
 </li>
 <li>
 Select and understand the best approach of automatization for the overall Demand process driven by Statistical and Machine Learning capabilities
 </li>
 <li>
 Ensures collaboration of all teams in order to guarantee scalability of the models
 </li>
 <li>
 Keeps a close control of the ML developments to ensure cost compliance
 </li>
 <li>
 Responsible of the Continuous Improvement of the ML models and create the strategy of ML vs Statistical approach
 </li>
 <li>
 Responsible for the region's continuous improvement of ML and Statistical models in order to improve business performance
 </li>
 <li>
 Create standard ways of measure and manage strategies to find and fix root causes in forecast bias/accuracy
 </li>
 <li>
 Develop capabilities and skills on Machine Learning understanding across the regions
 </li>
 <li>
 Build, maintain, fine tune and audit Statistical &amp; ML models to guarantee adaptability to new business context providing service for all regions
 </li>
 <li>
 Assist regions in processes and tools to embrace Statistical and ML technology
 </li>
 <li>
 Shield key processes and know-how on Statistical and ML
 </li>
 <li>
 Ensures standardization between different countries
 </li>
 <li>
 Guarantee highest ML utilization
 </li>
 </ul>
 
 
 
 
 
 Job Specifications:
 
 
 <ul>
 <li>
 Education: Mathematics/Physics/Engineering with a master&rsquo;s in business/data analytics or proven track record on Data Science
 </li>
 <li>
 Proven track record of minimum 5 years as a data scientist
 </li>
 <li>
 Great analytical skills
 </li>
 <li>
 Coding capabilities in R and/or Phyton
 </li>
 <li>
 Relationship/ Network builder
 </li>
 <li>
 Change management
 </li>
 <li>
 Project management
 </li>
 <li>
 Experience with Continuous Improvement
 </li>
 </ul>
 
 
 
 
 
 Main Interfaces
 
 
 <ul>
 <li>
 Cross country demand planning teams
 </li>
 <li>
 IS/IT project managers and developers
 </li>
 <li>
 Supply chain cross functions
 </li>
 </ul>
 
 
</div>

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
 </li>
 <li>
 Experience with developing at least one deep learning model for business impact Experience debugging throughput and latency issues in AI.
 </li>
 <li>
 Experience handling large-scale data transformation pipelines for batch inference of ML models.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 In this role, you will partner with teams across the company to apply Google&rsquo;s best Data Science techniques to Google&rsquo;s biggest enterprise opportunities. You will partner with Research, Core Enterprise ML and Machine Learning (ML) Infrastructure teams to build solutions for the enterprise.
 
 
 The Googler Technology and Engineering (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, IT support and internal tooling with Artificial Intelligence (AI) and advanced analytics, enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional services for use across Corp Engineering, and educate product teams on advanced analytics and ML.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define and report Key Performance Indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Work with PM, User Experience (UX), and Engineering to contribute to metric-backed annual OKR setting.
 </li>
 <li>
 Come up with hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning.
 </li>
 <li>
 Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics, etc.
 </li>
 <li>
 Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes.
 </li>
 <li>
 Convert business problems into unsupervised and supervised ML modeling problems, build these model prototypes from scratch to justify business impact hypothesis.
 
 
 
 </li>
 </ul>
 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 .
</div>

Product Data Scientist, Technology and Engineering

Verisk

<div>
 
 Job Description
 
 
 
 Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events&mdash;cyclones, storm surge, convective storms, and flooding&mdash; consistent with a changing climate.
 
 
 We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Improve the accuracy of representing atmospheric perils
 </li>
 <li>
 Contribute to model development, validation, and productization for global clients
 </li>
 <li>
 Support model development using observational and reanalysis products, GCMs, and high-resolution simulations
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Expertise in spatial statistics and extreme value analysis
 </li>
 <li>
 Strong understanding of atmospheric dynamics and extremes
 </li>
 <li>
 Experience with dynamic downscaling methods
 </li>
 <li>
 Proficiency in Python
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Practical, solution-focused mindset
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in statistics, atmospheric science, or a related field; or Master&rsquo;s with 3+ years of relevant experience
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
 
 
 At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
 
 
 For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
 
 
 We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 
 
 
 Verisk Businesses
 
 
 
 Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
 
 
 Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
 
 
 Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
 
 
 Extreme Event Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
 
 
 Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
 
 
 Marketing Solutions &mdash; delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
 
 
 Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
 
 
 Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
 
 
 Verisk Analytics is an equal opportunity employer.
 
 
 All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
 
 
 https://www.verisk.com/company/careers/
 
 
 Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
 
 
 Verisk Employee Privacy Notice
</div>

Atmospheric Scientist/Statistician I

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&acirc;&euro;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Analyst - L4

Cyient

<div>
 Entry level professional individual contributor representing the most common entry point for this career stream; works under direct supervision in the Database Engineering area. As the Entry level professional in the Database Engineering Sub-Function, applies broad knowledge in design, development, implementation and management of databases. Develops database architectures to address business requirements, ensuring system scalability, security, performance and reliability. Designs database applications such as interfaces, data transfer mechanisms and data partitions to enable efficient access of the generic database structure. Creates plans for architecture updates and integrates new systems with existing warehouse structure to refine performance/functionality. Generally has in-depth knowledge and expertise of database technologies, along with solid programming, design and system analysis skills.
</div>

Data Engineer

US Pharmacopeia

<div>
 
 Description
 
 
 
 At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.
 
 
 USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds&mdash;regardless of background&mdash;to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.
 
 
 
 Brief Job Overview
 
 
 
 This is non-supervisory role involves conducting necessary analytical tests on Verification samples (Dietary supplements/Dietary Ingredients) utilizing suitable methods. The Scientist will enhance the laboratory's scientific proficiency and work ethic by offering extensive technical support and knowledge. Proficient in numerous common laboratory techniques, the Scientist is capable of providing valuable observations and insights into challenging projects. The individual in this role will furnish technical aid to the Verification Program by executing analytical tests and preparing comprehensive summary reports.
 
 
 
 How will YOU create impact here at USP?
 
 
 
 As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards.
 
 
 Additionally, USP&rsquo;s People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments.
 
 
 <ul>
 <li>
 Conducts verification projects (Dietary Supplements/Dietary Ingredients) by performing individual analytical tests such as HPLC, GC,Dissolution, ICP-MS, ICP-OES, and wet analysis as assigned by the Team Leader
 </li>
 <li>
 Completes projects within designated timelines and priorities.
 </li>
 <li>
 Demonstrates a robust scientific approach to laboratory analysis.
 </li>
 <li>
 Regularly utilizes personal experience, academic training, and technical insights, including emerging sciences, to address complex technical issues within the laboratory.
 </li>
 <li>
 Compiles project reports and responds to QA observations.
 </li>
 <li>
 Executes all testing and data analysis with precision, minimizing errors.
 </li>
 <li>
 Shows a strong commitment to continuous learning and personal development.
 </li>
 <li>
 Proposes and implements new approaches or processes to enhance laboratory operations.
 </li>
 <li>
 Influences project direction positively by aligning own work with the overall direction of laboratory projects.
 </li>
 <li>
 Assists with additional testing programs and laboratory maintenance tasks as required.
 </li>
 <li>
 Ensures compliance with Good Laboratory Practices (GLP) and safety systems in the laboratory.
 </li>
 <li>
 Maintains equipment calibration according to the schedule.
 </li>
 <li>
 Coordinates the procurement of chemicals, columns, glassware, etc., in advance, in coordination with lab operations and the purchase department, considering project deadlines.
 </li>
 <li>
 Adheres to US Pharmacopeia (USP) mission, policies, and procedures.
 </li>
 <li>
 Cultivates positive relationships with Quality Assurance (QA), Human Resources (HR), Purchase, Accounting, IT, and other departments.
 </li>
 <li>
 Participates actively in the preparation and planning for ISO-9001 &amp; ISO-17025 certification/recertification, including taking an active role in internal QA and external audits and addressing audit issues promptly.
 </li>
 <li>
 Supports Global Public Health (GPH), Reference Standard Laboratory (RSL), and other departmental teams as required for analytical testing, review, execution, and approval
 
 
 </li>
 </ul>
 
 Who is USP Looking For?
 
 
 
 The Successful Candidate Will Have a Demonstrated Understanding Of Our Mission, Commitment To Excellence Through Inclusive And Equitable Behaviors And Practices, Ability To Quickly Build Credibility With Stakeholders, Along With The Following Competencies And Experience
 
 
 <ul>
 <li>
 Master&rsquo;s degree in pharmacy or Analytical chemistry.
 </li>
 <li>
 Minimum 1 to 3 years with relevant laboratory experience.
 </li>
 <li>
 Previous engagement in a high-volume pharmaceutical manufacturing QC laboratory or a contract pharmaceutical analytical testing laboratory, specifically pertaining to pharmaceutical dosage forms such as oral and liquid
 </li>
 <li>
 Strong preference for candidates with expertise in HPLC operation using Empower software, as well as proficiency in dissolution analysis
 
 
 </li>
 </ul>
 
 Additional Desired Preferences
 
 
 
 Proficiency in leading projects to completion with a high level of scientific expertise, including extensive knowledge of pharmaceutical testing requirements and test protocols encompassing compendial methods (USP, BP, EP, etc.). Preference for expertise in GC operation with Empower software, as well as proficiency in ICP-OES, ICP-MS and LC-MS with troubleshooting abilities. Additionally, adept in operating and troubleshooting other related analytical instrumentation (IR, KF, UV,Ion chromatography,wet analysis etc). Exceptional communication and presentation skills, both verbal and written, with a preference for candidates experienced in the pharmaceutical industry. Familiarity with ICH guidelines and FDA regulations, along with experience in compendial procedures and compliance, is highly desired. Proficiency in Electronic Laboratory Note book(ELN) is also preferred. Demonstrates a personal commitment to ensuring timely delivery of high-quality work and possesses the skills to anticipate, troubleshoot, and resolve technical challenges
 
 
 
 Supervisory Responsibilities
 
 
 
 None, this is an individual contributor role.
 
 
 
 Benefits
 
 
 
 USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.
 
 
 Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.
 
 
 
 Job Category
 
 Chemistry &amp; Scientific Standards
 
 
 
 Job Type
 
 Full-Time
</div>

Scientist I, Verification Program

Explore 87+ Data scientist in Hyderabad this October. Find roles across top companies and apply now to boost your career.

87 data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Product Data Scientist, Technology and Engineering

Atmospheric Scientist/Statistician I

Data Analyst - L4

Data Engineer

Scientist I, Verification Program