4036 R Jobs - Page 47

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Assist PTS Team with business and market analytics for direct customer bids / RFQs by performing strategic pricing analysis and overall profitability analysis of the business opportunity Reports to analyse BU Pricing Contracts with Direct, Distribution or Subcontractors Perform Pre-Bid analysis and consolidate data for the evaluation of RFQs and proposals Assist with pricing and quotation procedure changes and improvements Interact regularly with Pricing, Sales, Product Management Regular, monthly, or quarterly agreement review and make pricing decisions Support Pricing Team with Ad hoc pricing analytics to improve margins Develop reports as required on Pricing KPIs for PTS BUs Ensure Backup plan and documentation are in place Identify the area of improvement and eliminate waste in routine tasks Participate actively in team goals and support teamwork Drive and support on projects to Win Business What your background should look like: Master of business - Finance, Marketing 3 to 6 Years of applicable experience Excellent communication skills Strong PC abilitiesexpert Microsoft Office and a working knowledge of database and advance excel applications is required Experience with SAP and Advanced Pricing Software is also a plus point Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organization (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organization and the industry. Key Responsibilities: Design, develop and maintain scalable and efficient data modelling components within a distributed data platform. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications and solutions. Implement best practices in software development, including code reviews, unit testing and continuous integration / continuous deployment (CI/CD) processes. Troubleshoot and resolve software defects and performance issues in a timely manner. Participate sprint planning, daily stand-ups, user demos and retrospectives to ensure alignment and progress within the team. Mentor junior developers and contribute to their professional growth through knowledge sharing and code reviews. Stay updated with emerging technologies and industry trends to continuously improve our software solutions quality and performance. Document technical designs, processes and workflows to facilitate knowledge transfer and maintain project transparency. Engage with stakeholders to communicate project status, challenges and solutions, ensuring alignment with business outcomes. Contribute to the overall architecture and design of the TeraHelix ecosystem, ensuring scalability, reliability and security. What were looking for: Bachelors degree or higher in Computer Science or a related field. 6+ years of hands-on experience in software development, particularly with Java (21+ preferred) and associated toolchains. Proficiency in SQL (any variant) and big data technologies, with experience in operating commonly used databases such as PostgreSQL, HBase, or Trino. Knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Familiarity with Linux operating systems, including command-line tools and utilities. Experience with version control systems such as Git, GitHub, Bitbucket or Azure DevOps. Knowledge of Object-Orientated Programming (OOP) design patterns, Test-Driven Development (TDD) and enterprise system design principles. Strong problem-solving and debugging skills. Commitment to software craftsmanship and Agile principles. Effective communication skills for technical concepts. Adaptability and eagerness to learn new technologies. Interest in emerging tools and frameworks. Nice to have: Experience with the Vaadin UI framework. Experience with Big data processing engines, Avro and Distributed streaming platform. Familiarity with DevOps practices and automation tools. Knowledge of Container orchestration systems. Cloud experience across AWS, Azure, GCP or Oracle Cloud. Experience with C# and .NET Core. Familiarity with Python, R, Ruby or JavaScript, especially in the GraalVM. Interest in financial markets and business development. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Big Data, Python or R Good to have skills:Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional and Technical Skills 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

We are seeking experienced Data Analysts / Data Engineers with strong expertise in U.S. pharmaceutical commercial datasets to support critical Data Operations initiatives. This role will be focused on onboarding third-party data, ensuring data quality , and implementing outlier detection techniques . Familiarity with ML/A I approaches for anomaly detection is highly desirable. Key Responsibilities: Pharma Data Integration: Work extensively with U.S. pharmaceutical commercial datasets. Ingest and onboard third-party data sources such as IQVIA, Symphony Health, Komodo Health etc. Ensure alignment of data schemas, dictionary mapping, and metadata integrity. Data Quality & Governance: Design and implement QC protocols for data integrity and completeness. Track data lineage and maintain proper documentation of data flow and transformations. Outlier Detection & Analytics: Apply statistical or algorithmic techniques to identify anomalies in data related to sales, claims, or patient-level records. Utilize ML/AI tools (if applicable) for automated outlier detection and trend analysis. Collaboration & Reporting: Work cross-functionally with business teams, data scientists, and IT to ensure timely delivery of reliable data. Provide detailed reports and insights for stakeholders to support commercial decision-making. Required Skills & Qualifications: 3+ years of experience in Pharmaceutical Data Operations , preferably with U.S. market data. Strong hands-on experience with third-party commercial healthcare data sources (IQVIA, Symphony, Komodo, etc.). Solid understanding of ETL pipelines, data ingestion frameworks, and metadata management . Proficient in SQL, Python, or R for data processing and quality checks. Experience in outlier detection techniques both statistical (Z-score, IQR, etc.) and ML-based (Isolation Forest, Autoencoders, etc.). Familiarity with Snowflake, Databricks, AWS, or similar cloud platforms is a plus. Excellent problem-solving, documentation, and communication skills

Eurofins Advinus is a premier preclinical and early development CRO offering drug discovery, preclinical and development stage contract research services in the areas of discovery services, regulatory Toxicology (Safety Assessment), DMPK, Analytical R&D Services and API CDMO. Eurofins Advinus manufactures drug substances to support Toxicology and early clinical studies. Job description: Leadership role to manage team size of 10+ scientists (Ph.D. and M.Sc.) Extensive knowledge in E&L Extractable and Leachable experience in CCS as per USP monograph and medical devices as per ISO guidelines Managing multiple instruments (LC-MSMS, GC-MSMS, ICP-MS, IC etc.) Method development experience in LC-MSMS, GC-MSMS and ICPMS instrument Preparation and Implementation of SOP"™s related to E& L , general laboratory processes and best guidance. Good knowledge of 21 CFR part 11, Data Integrity principals, good documentation practices in cGMP lab Monitor and management of day-to-day laboratory activities Extensive knowledge of preparation, reviewing and approval capability for standard operating procedure (SOP) and COA Sound knowledge of structural elucidation and interpretation using analytical techniques such as NMR, IR, HPLC, GC, LC-MS etc. Resolving the team conflicts and provide training to the team for development and empowers team members Provide scientific and leadership direction to team members Good knowledge of laboratory safety and be a strong promoter of SHE activities in the lab. Skills Required: For M.Sc, 16-18 years of Discovery Analytical R&D experience and for PhD, 14-16 years of experience in CRO environment Excellent technical, problem-solving, writing, influencing and communication skills Strong leadership with excellent interpersonal skills, proven success of analytical projects and managing cross functional teams Demonstrative communication skills and confident in conveying information to internal/ external customers Skill for resolving the team conflicts and provide training to the team for development and empowers team members Behavioral Competencies: Excellent oral / written communication skills and flexibility to work in a dynamic environment Excellent in Knowledge sharing at all levels Qualifications Qualification M.Sc./PhD/Postdoc Additional Information Specialization Analytical Chemistry /Organic Chemistry, Department E&L Experience (years) 16 - 20

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Master"™s degree in a science-related field with 0-2 years of experience in Bio/Pharmaceutical Chemistry drug product/substance testing with knowledge of regulatory requirements. Theoretical / Practical experience with analytical techniques such as Ligand binding assays, ELISA, RIA, etc. Knowledge of USP/EP compendia, and laboratory software applications such as LIMS, Electronic Notebook is preferred..

Eurofins Advinus is a premier preclinical and early development CRO offering drug discovery, preclinical and development stage contract research services in the areas of discovery services, regulatory Toxicology (Safety Assessment), DMPK, Analytical R&D Services and API CDMO. Eurofins Advinus manufactures drug substances to support Toxicology and early clinical studies. Job description: Planning/performing and reporting of acute toxicology studies Assist in preparation of SOP"™s, Protocols and Reports Participate in GLP / AAALAC related activities Literature search Maintenance of animal house and relevant documents as per GLP and AAALAC norms. To Assist and work along with SD and TC in Planning, initiation and conduct studies. Test item administration, dose formulation preparation and blood collection. Assistance in data collection, compilation and verification. Participate in GLP inspections and ensure relevant regulatory compliance guidelines. Support in interpretation and reporting of study data. Assist in report preparation and coordination of activities. Assist in archiving of all study related materials. Skills Required: Understanding of the agrochemical and pharmaceutical R&D process Behavioral Competencies: Good in oral / written communication skills. If you're interested in applying or learning more, send your updated resume to [email protected] with the subject line "Research Scientist/Senior Research Scientist - Acute "“ Toxicology - Bangalore". Qualifications Qualification M.Sc. in Zoology/Biosciences Additional Information Specialization Toxicology Department Acute "“ Toxicology Experience (years) 2 to 8 only

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Position Summary: Ensuring that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Essential Duties and Responsibilities Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Education/Experience (BMQ): Master"™s degree in a pharma / science-related field with 2-6 years of experience in Bio/Pharmaceutical or Medical Device Analysis testing with knowledge of regulatory requirements. Experience with chromatography and mass spectrometry analytical techniques (HPLC, GC, LC/MS, GC/MS) knowledge of USP/EP compendia, and laboratory software applications such as Waters Empower software, LIMS, Electronic Notebook is preferred. Additional Preferences: Experience with Agilent MassHunter software Experience with extractables and leachables testing Additional Information Key Candidate Attributes: Self-motivation; excellent quality of work and attention to detail Ability to communicate effectively with coworkers and internal/external clients Ability to learn new tasks quickly and to move easily from task to task Ability to handle prioritization and multiple tasks simultaneously Ability to use a personal computer and learn necessary programs Good communication skills (oral and written) Organizational ability and good judgement Science background/education and/or laboratory experience Strong Math Skills Logical Thinking, Good Reasoning Ability Motivation to excel Coaching/mentoring of peers

Role & responsibilities Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred candidate profile Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Bachelor's degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role

Job Summary: We are seeking a highly analytical and business-savvy Lead Business Analyst Advanced Analytics to drive data-driven decision-making across key business functions. This role involves close collaboration with data science, product, technology, and business teams to define problems, extract insights, and translate analytical findings into actionable strategies. Key Responsibilities: Work closely with stakeholders to understand business objectives and translate them into analytical problems. Lead the development of dashboards, KPIs, and performance metrics using advanced analytics techniques. Analyze large, complex datasets to identify trends, patterns, and insights that drive strategic decisions. Collaborate with Data Scientists and Engineers to build predictive models and machine learning solutions. Drive adoption of analytics tools and insights across business teams to improve operational efficiency. Present clear, concise, and actionable insights to senior leadership and key stakeholders. Act as a mentor to junior analysts and help build best practices within the analytics team. Ensure data integrity, governance, and compliance in all analytics projects.

Job Summary: We are seeking a Data Scientist with strong Data Engineering skills to bridge the gap between raw data and actionable insights. In this hybrid role, you will work on building robust data pipelines, enabling large-scale data processing, and applying machine learning models to solve real-world business problems. Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines to process structured and unstructured data from various sources. Collaborate with data scientists and analysts to build data infrastructure that supports modeling, experimentation, and advanced analytics. Clean, transform, and organize large datasets for use in machine learning models and statistical analysis . Build and deploy ML pipelines in production environments using MLOps principles . Optimize data workflows for scalability, performance, and cost-efficiency. Monitor and troubleshoot data quality issues, implementing solutions to ensure reliability and accuracy.

The RD Engineer/Scientist will be responsible for conducting research, experiments, and development activities to innovate, design, test, and improve products, services, or technologies. This role requires a combination of creativity, technical expertise, and problem-solving skills to contribute to the companys product pipeline, and technological advancement. Key Responsibilities: Conduct Research: Design and execute scientific experiments or feasibility studies to explore new concepts or improve existing products/processes. Product Development: Lead or contribute to the development of new products from concept to final release. Data Analysis: Collect, analyze, and interpret experimental data to support product improvement or innovation. Collaboration: Work closely with cross-functional teams including engineering, marketing, and production to align RD efforts with business objectives. Prototype Development: Build and test prototypes or models of new products or technology solutions. Documentation: Maintain detailed records of research methodologies, results, and conclusions, ensuring compliance with internal and external regulations. Stay Current: Keep up to date with industry trends, new technologies, and advancements to ensure the company remains competitive and innovative. Product Testing: Ensure that prototypes meet both technical and regulatory standards before commercial production. Risk Assessment: Assess risks and challenges associated with new ideas or products, developing strategies for mitigation. Key Requirements: Education: Bachelor's degree (or higher) in a related field (e.g., Engineering, Computer Science, Biology, Chemistry, etc.). Experience: Previous experience in RD or a related field, often with a focus on product design, testing, or scientific research. Technical Skills: Proficiency in relevant software/tools (e.g., CAD software, statistical analysis tools, lab equipment, etc.).

Hetero Drugs Limited is looking for Research Associate I to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions

End-to-end formulation and development of injectable dosage forms (Liquid, Lyophilized, Emulsion, etc.) Handling of scale-up, exhibit batches, and tech transfer Cross-functional coordination with ADL, RA, QA, and Manufacturing

Lead formulation and process development of HFA-based MDI products for regulated markets (US, EU, etc.). Manage drug-device combination product development , including coordination with device vendors for CMC and regulatory compliance. Coordinate cross-functionally with analytical, regulatory, clinical, and manufacturing teams to ensure timely project execution. Drive process optimization at the lab scale using QbD principles; establish control strategies for successful scale-up. Design and define product specifications in compliance with current global regulatory guidelines. Review Product Development Reports, Technology Transfer Reports , and Deviation/Investigation Reports for technical accuracy. Support regulatory query responses related to product development and manufacturing in collaboration with relevant departments. Lead technology transfer of HFA-based MDIs to contract manufacturing organizations (CMOs) for domestic and international markets. Provide technical and regulatory support for submissions including NDA, ANDA, and 505(b)(2) applications. Troubleshoot formulation-related issues during manufacturing to ensure smooth and compliant commercial production.

Design and execute experiments related to the formulation development of oral solid dosage forms using HME techniques. Operate and maintain HME equipment including twin-screw extruders, feeders, and associated downstream processing units (milling, compaction, etc.). Conduct pre-formulation studies, including excipient compatibility and thermal analysis (DSC, TGA). Perform process optimization and scale-up studies for HME-based formulations. Prepare solid dispersions, amorphous systems, and evaluate physical and chemical stability. Perform solid-state characterization using tools such as XRPD, FTIR, Raman spectroscopy, and microscopy.

Work on the ML side of product portfolio, in collaboration with project and product managers: automate and optimize data pipelines, improve models used in production to be more accurate or more efficient, etc. Use and develop machine learning and deep learning algorithms to solve applied problems in Computer Vision discipline.

What You'll Do Avalara is an AI-first company. We expect every employee to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows and products and success at Avalara requires embracing AI as an essential capability, not an optional tool. As an AI/ML Technical Product Owner at Avalara, you will lead the development and integration of cutting-edge AI and Machine Learning solutions into our suite of tax compliance products. Youll collaborate closely with cross-functional teams, including Product managers, ML Engineers, Software Development Engineers, Content Researchers and designers, to conceptualize, build, and deploy models that drive significant business impact. Your role will involve translating complex technical concepts into strategic product initiatives, ensuring the successful execution of these initiatives from brainstorming to deployment. You will report to Director of Engineering. What Your Responsibilities Will Be Product strategy and vision Define and drive the vision, strategy, and roadmap for AI & ML products, aligning them with Avalaras overall business goals and customer needs. Identify new AI & ML opportunities by staying updated on industry trends, competitive landscape, and emerging technologies. Communicate product vision and strategy to stakeholders, including executives, engineering teams, and customers.Cross-functional leadership Collaborate with data scientists, engineers, and designers to define, prioritize, and execute AI/ML product initiatives. Work closely with engineering teams to translate product requirements into technical specifications and ensure delivery of high-quality features.Product development and execution Oversee the end-to-end product development lifecycle, from ideation and prototyping to testing, deployment, and iteration. Manage the backlog, prioritizing features and improvements based on customer feedback, market research, and business impact. Ensure the AI & ML models are properly integrated into products, focusing on scalability, performance, continuous improvementData-driven decision making Use data to inform product decisions, leveraging metrics, user feedback, and A/B testing to guide development priorities. Monitor the performance of AI & ML models and products post-launch, using analytics to identify areas for improvement and optimization.Stakeholder communication and reporting Present product updates, milestones, and performance metrics to executive leadership and other stakeholders. Facilitate regular meetings with cross-functional teams to ensure alignment and address any challenges or roadblocks. Prepare detailed reports on the progress of AI & ML initiatives, including successes, challenges, and next steps.Ethical AI considerations Ensure that AI & ML products adhere to ethical guidelines and industry best practices, including fairness, transparency, and data privacy. Advocate for responsible AI practices within the organization, ensuring that models and data usage align with legal and ethical standards.Customer and market insights Engage with customers, users, and industry experts to gather insights on market needs and pain points. Use these insights to inform product features and improvements, ensuring that the AI & ML products deliver real value to end users. What You'll Need to be Successful Educational Background: Bachelor's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Advanced degrees or certifications in AI & ML Product Management Experience: Experience of managing AI/ML products from conception to launch for at least 8 years, including experience with roadmaps, prioritization, and stakeholder management. Envisage new products from the perspective of the end user in B2B and B2C contexts. Technical Skills: Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow), programming languages (e.g., Python, R, C++), and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data engineering pipelines, model deployment, and MLOps.

Key Responsibilities: Collaborate with the Creative Director to develop and execute creative concepts and design strategies. Lead and mentor a team of designers, providing guidance, feedback, and support to elevate the quality of design output. Oversee the creative process from concept to final delivery, ensuring projects meet brand standards, deadlines, and budgets. Work closely with cross-functional teams including marketing, product, and client services to translate business goals into compelling visual narratives. Present design concepts and ideas to clients and internal stakeholders with clarity and confidence. Stay updated on industry trends, tools, and technologies to drive innovation and best practices within the team. Manage multiple projects simultaneously while maintaining high standards of creativity and quality. Foster a collaborative and inspiring work environment that encourages creativity and professional growth.

The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organization (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organization and the industry. Key Responsibilities: Design, develop and maintain scalable and efficient data modelling components within a distributed data platform. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications and solutions. Implement best practices in software development, including code reviews, unit testing and continuous integration continuous deployment (CI/CD) processes. Troubleshoot and resolve software defects and performance issues in a timely manner. Participate sprint planning, daily stand-ups, user demos and retrospectives to ensure alignment and progress within the team. Mentor junior developers and contribute to their professional growth through knowledge sharing and code reviews. Stay updated with emerging technologies and industry trends to continuously improve our software solutions quality and performance. Document technical designs, processes and workflows to facilitate knowledge transfer and maintain project transparency. Engage with stakeholders to communicate project status, challenges and solutions, ensuring alignment with business outcomes. Contribute to the overall architecture and design of the TeraHelix ecosystem, ensuring scalability, reliability and security. What were looking for: Bachelors degree or higher in Computer Science or a related field. 6+ years of hands-on experience in software development, particularly with Java (21+ preferred) and associated toolchains. Proficiency in SQL (any variant) and big data technologies, with experience in operating commonly used databases such as PostgreSQL, HBase, or Trino. Knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Familiarity with Linux operating systems, including command-line tools and utilities. Experience with version control systems such as Git, GitHub, Bitbucket or Azure DevOps. Knowledge of Object-Orientated Programming (OOP) design patterns, Test-Driven Development (TDD) and enterprise system design principles. Strong problem-solving and debugging skills. Commitment to software craftsmanship and Agile principles. Effective communication skills for technical concepts. Adaptability and eagerness to learn new technologies. Interest in emerging tools and frameworks. Nice to have: Experience with the Vaadin UI framework. Experience with Big data processing engines, Avro and Distributed streaming platform. Familiarity with DevOps practices and automation tools. Knowledge of Container orchestration systems. Cloud experience across AWS, Azure, GCP or Oracle Cloud. Experience with C# and .NET Core. Familiarity with Python, R, Ruby or JavaScript, especially in the GraalVM. Interest in financial markets and business development. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & Wellness: Health care coverage designed for the mind and body. Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Understand customer requirements and suggest solutions or alternatives Fill timesheets and complete invoicing process on or before the deadline Engage with customer teams on an ongoing basis on all aspects of project delivery Seek informal feedback and escalate any issues to seniors in the team Develop software code as per specifications, by understanding customer requirements Track open tickets/ incidents in queue and allocate tickets to resources Constantly review if there is a better way of doing things, which may help with economising time or money or deliver better to the customer. Perform code reviews as per standards and provide timely status update Monitor and track defects and manage any change requests Participate in quality reviews and implement quality norms Build reusable components and participate in review processes Develop and review project consolidated status reports Perform all activities related to maintaining successful knowledge management, including re usage, accuracy and efficiency P Promote team work, motivate, mentor and develop subordinates Provide application production support as per process/RACI (Responsible, Accountable, Consulted and Informed) Matrix.

Data preparation and reviewing of excel and data Product-wise, region-wise reporting Collating and preparing daily, weekly, monthly, quarterly, half yearly, yearly reports Designing, preparing and managing the Dashboard on a daily basis Organizational skills to stay focused on assigned tasks Ensure data accuracy and timeliness of reports Must have Good analytical skill Expert in MS Excel Can join immediately

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments

Experience - 3-7 years of relevant data science & advanced analytics experience Experience deploying models with large-scale business impact in commercial setting Proficiency in the use of statistical modelling packages & algorithms Highly proficient in programming skills in Python, SQL, Spark. Additional knowledge of Scala, R, React/Node JS desired but not mandatory Good working Knowledge of Mathematical and statistical concepts, algorithms and computational complexity, data analysis, data mining, forecasting/predictive modelling, machine learning, etc and application of same in a variety of business Hands on with AWS architecture for code deployment Should have understanding of Devops/Mlops and know various deployment architectures.

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so #niche #NJP Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.