senior data scientist

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
 
 
 
 In Your Role, You May Be Responsible For
 
 
 
 <ul>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

PI Health Sciences Ltd

<div>
 
 About the job
 
 
 
 
 
 
 Senior Research Scientist : Synthesis R&amp;D
 
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To contribute to early-stage drug discovery programs by designing and synthesizing novel small molecules that meet client objectives. The role supports hit-to-lead and lead optimization efforts through data-driven medicinal chemistry strategies, with the goal of delivering high-quality drug candidates in a collaborative CRO environment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Strategic &amp; Scientific:
 
 
 <ul>
 <li>
 Design and synthesize novel chemical entities (NCEs) guided by SAR and target profile.
 </li>
 <li>
 Contribute to lead identification and optimization in FTE or integrated drug discovery (IDD) projects.
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 <li>
 Collaborate with cross-functional teams (e.g., biology, ADME, computational chemistry) to advance candidate selection.
 </li>
 <li>
 Analyze biological and ADME data to refine compound design strategies.
 </li>
 </ul>
 
 
 Operational:
 
 
 <ul>
 <li>
 Plan and execute multistep organic syntheses with minimal supervision.
 </li>
 <li>
 Characterize compounds using NMR, LCMS, HPLC, and other analytical tools.
 </li>
 <li>
 Maintain detailed and accurate experimental records (ELN/lab notebooks).
 </li>
 <li>
 Deliver high-purity compounds on time to meet client/project goals.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication:
 
 
 <ul>
 <li>
 Actively participate in team meetings, project reviews, and client discussions.
 </li>
 <li>
 Coordinate with analytical and biology teams for data turnaround and integration.
 </li>
 <li>
 Present experimental results and SAR insights to internal and external stakeholders.
 </li>
 </ul>
 
 
 Compliance &amp; Documentation:
 
 
 <ul>
 <li>
 Follow lab safety protocols and maintain GLP/GMP (where applicable).
 </li>
 <li>
 Ensure adherence to SOPs and maintain project documentation for IP protection and client reporting.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 M.Sc. with 3&ndash;8 years of relevant experience in a CRO environment.
 </li>
 <li>
 Proven expertise in synthetic organic chemistry and medicinal chemistry principles.
 </li>
 <li>
 Experience in client-facing discovery projects is strongly preferred.
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Competencies:
 
 
 <ul>
 <li>
 Deep understanding of SAR, pharmacophores, and drug-likeness criteria.
 </li>
 <li>
 Strong skills in synthetic planning, reaction optimization, and troubleshooting.
 </li>
 <li>
 Excellent communication and data presentation abilities.
 </li>
 <li>
 Ability to multitask and work effectively in a high-paced, collaborative environment.
 </li>
 </ul>
 
 
</div>

Research And Development Scientist

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 a professional, highly technical, non-supervisory position that supports the food ingredients program unit team (PUT) within USP&rsquo;s Global Science and Standards Division (GSSD). The incumbent reports to a local management position at the India site as well as functionally reporting to a management position in the Foods PUT in the US. The incumbent will support the development and technical stewardship of Food Chemicals Codex (FCC) standards, other scientific products, outreach and awareness (in India, US, and internationally), and internal strategic initiatives. These activities require the ability to identify and critically evaluate published information on chemical analysis of food ingredients, regulatory and safety reviews of foods, and data and supplier documents to support development of standards and guidance documents. The successful candidate may develop proposals, coordinate, and lead specific technical studies related to food analysis. The incumbent may present technical talks to academics, the food industry, and regulators to advocate for the work of the program, to solicit feedback, and to support program goals related to awareness and capacity building. The incumbent will work collaboratively with industry stakeholders, the Food Ingredients Expert Committee, the PUT, and other USP program units and departments.
 
 
 
 How will YOU create impact here at USP?
 
 
 
 
 The Sr. Scientist I/II Has The Following Responsibilities
 
 
 
 <ul>
 <li>
 Provide scientific expertise to USP&rsquo;s Foods PUT with a focus on identifying, developing, and supporting food standards and other fit-for-purpose solutions.
 </li>
 <li>
 Perform critical evaluation of technical data related to food quality and purity including working closely with internal and external laboratories on analytical method development, validation, and data analysis.
 </li>
 <li>
 Works with USP staff, the USP Food Ingredient Expert Committee (FI EC), subcommittees (SC), and Expert panels (EP), external stakeholders as related to Food Ingredient monograph and RS development.
 </li>
 <li>
 Supports in the preparation of data packages and briefing materials to present to the FI EC and other expert bodies; manages projects appropriately and ensures impeccable work-product delivery.
 </li>
 <li>
 Foster collaboration and communication with other USP program units and departments,
 </li>
 <li>
 Keep abreast of global trends and developments in related scientific fields and share learnings with managers and colleagues.
 </li>
 <li>
 Communicate effectively with stakeholders from industry, academia, scientific organizations, and regulatory agencies.
 </li>
 <li>
 Assist and guide Expert Committees and related expert bodies to support the development of FCC standards and other program products.
 </li>
 <li>
 Performs other related duties in support of the Foods Program Unit as assigned.
 
 
 </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>
 Senior Scientist I: Ph.D. in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 7-10 years or MS in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 11-13 years, respectively, of relevant experience. An equivalent combination of experience and education may be substituted.
 </li>
 <li>
 Senior Scientist II: Ph.D. in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 10-13 years or MS in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 13-15 years, respectively, of relevant experience. An equivalent combination of experience and education may be substituted
 </li>
 <li>
 Candidates must have experience related to food safety, food quality, or analytical chemistry as well as outstanding written and verbal communication skills in English.
 </li>
 <li>
 Ability to review, analyze, and interpret and report on data from various analytical tests such as from HPLC, GC, LC/MS, GC/MS, IR, Raman, UV-Vis, NMR, ICP-MS, AA, etc.
 </li>
 <li>
 Experience in developing, validating, using, or evaluating food analytical methods
 </li>
 <li>
 Ability to communicate effectively and diplomatically with technical and non-technical stakeholders
 </li>
 <li>
 Experience in working directly in or with the food industry, such as experience with food quality systems, regulatory affairs, and supply chain management
 
 
 </li>
 </ul>
 
 Additional Desired Preferences
 
 
 
 <ul>
 <li>
 Ability to manage and prioritize multiple concurrent, complex projects with minimal direction and a history of successful timely project management
 </li>
 <li>
 Experience applying food regulations from local or international regulatory bodies, and collaborating with scientific standards organizations is a plus
 </li>
 <li>
 Ability to rapidly and expertly assess complex technical issues in a fast-paced environment
 </li>
 <li>
 Ability to embrace change. Adaptable, willing to learn, strong interpersonal and technical presentation skills; strong knowledge of MS Office and related products.
 </li>
 <li>
 Ability to operate independently where appropriate, yet understands when to escalate issues and how to establish effective working relationships
 </li>
 <li>
 Ability to work well with diverse employees and customers in a cooperative and friendly manner
 </li>
 <li>
 Able work flexible hours when needed
 
 
 </li>
 </ul>
 
 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.
 
 
 
 Job Category
 
 Chemistry &amp; Scientific Standards
 
 
 
 Job Type
 
 Full-Time
</div>

Senior Scientist I /Senior Scientist II, Documentary Standards ( Foods)

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