Sr. Applications Scientist Job at Malvern Panalytical (Andover)

Sr. Applications Scientist

We are looking for an Applications Scientist to join our R&D/Applications team, ...

Location

United States , Andover

Salary:

110000.00 - 130000.00 USD / Year

Malvern Panalytical

Expiration Date

Until further notice

Requirements

At least 3-5 years of experience, ideally within instrumentation, technology, or research industries
Self-starter with superior analytical and experimental skills
Strong communication and presentation skills
Ability to deal with a dynamic environment where priorities can change frequently
Ability to think creatively, work independently, take on a variety of technical hurdles
PhD or MS in hard science, such as Physics or Chemistry, or equivalent experience and training
BS with relevant experience will be considered

Job Responsibility

Become an expert in SciAps’ analytical algorithms, calibration techniques, and spectral interpretation for EDXRF products
Develop a deep understanding of customer applications
Characterize and refine new applications and custom calibrations
Write application reports and share/present to our customers and internally
Review, interpret, and prepare reports of XRF data for large analytical projects
Support the sales team with demonstrations and training
Support the customer service team when troubleshooting advanced analytical issues
Create documentation for calibration processes and analytical Quality Assurance procedures
Provide prompt calibration and analytical support for complex issues to the manufacturing department
Ability to work with other SciAps analytical products, including LIBS and NIR as required

What we offer

Bonus

Fulltime

Sr Scientist

At Amgen, if you feel like you're part of something bigger, it's because you are...

Location

United States , Thousand Oaks

Salary:

126066.05 - 170559.95 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree PhD OR PharmD OR MD
OR Master's degree and 3 years of Scientific experience
OR Bachelor's degree and 5 years of Scientific experience

Job Responsibility

Participate in Drug Product Commercialization Teams responsible for conducting process development of pipeline products and for supporting commercial products through lifecycle management
Design, plan, complete, and document formulation and process development studies
Apply scientific/engineering principles and techniques to develop, characterize and implement processes and next generation technologies and to solve technical challenges
Apply advanced statistical/data analytics techniques to draw conclusions and inform decisions
Provide support, as needed, to clinical and commercial fill/finish manufacturing operations through process capability analysis, troubleshooting, root cause analysis, and product impact assessments for process changes/improvements and non-conformance investigations
Author/review guideline documents, technical protocols, reports, product impact assessments, and regulatory sections in support of IND and marketing application submissions
Stay current on the latest developments in the industry and scientific community to continue innovating and to meet future business needs
Effectively and consistently communicate with management, cross-functional partners and relevant team members on progress towards achievements and forthcoming program needs
Lead cross functional initiatives enhancing Pivotal Drug Product platforms
Manage and contribute to process design improvement projects

What we offer

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
Discretionary annual bonus program
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

New

Sr. Data Scientist AI COE

As a Senior Data Scientist, you are responsible for leading the application of A...

Location

United States , Frisco

Salary:

106000.00 - 191100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelors degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
4-7 years Experience in AI/ML model development, MLOps, and cloud-based ML (Databricks, Azure ML, AWS Sagemaker, or similar) and libraries (PyTorch, TensorFlow, Nixtla, XGBoost, LightGBM)
4-7 years Experience with data scripting languages (e.g., SQL, Python, R)
2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
4-7 years Experience translating business questions into AI-driven solutions using supervised, unsupervised, and deep learning models
4-7 years Experience in data visualization
4-7 years Experience in MLOps, CI/CD pipelines, and automated model deployment
Calculus, linear algebra, statistics, and probability knowledge
Expertise in Python and SQL required

Job Responsibility

Extract, prepare, and model large, complex data sets using Databricks, Azure ML, and scalable AI/ML techniques. Apply cutting-edge deep learning, NLP, and reinforcement learning where applicable
Deliver on-time AI-driven insights and recommendations to enable intelligent decision-making across the business. Utilize Azure Synapse, Power BI, and Databricks dashboards for data storytelling
Provide senior-level guidance and mentorship to the data science team, ensuring best practices in MLOps, model governance, and cloud-based deployment
Work closely with data engineering teams to design and improve machine learning pipelines using Azure Data Factory, Databricks Delta Lake, and Spark
Effectively communicate AI-driven insights to business leaders, leveraging advanced visualization techniques and automated reporting tools
Also responsible for other Duties/Projects as assigned by business management as needed

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off

Fulltime

Sr. Applied Scientist

Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to ...

Location

United Kingdom , London

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

5+ years of building machine learning models or developing algorithms for business application experience
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
Experience programming in Java, C++, Python or related language
Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)

Job Responsibility

Build machine learning and optimization models to support pricing and revenue management of external freight business
Develop novel forecasting and dynamic pricing models
Apply causal inference and artificial intelligence techniques to improve marketplace services and execution
Work with business leaders and engineers to design and build scalable products operating across multiple transportation modes
Create experiments and prototype implementations of new learning algorithms and prediction techniques
Present findings of research to top level leadership
Implement models within production system
Implement solutions exemplary in algorithm design, clarity, model structure, efficiency, and extensibility

Fulltime

Sr. Applied Scientist

Advertising is a complex, multi-sided market with many technologies at play with...

Location

United States , Seattle

Salary:

167100.00 - 226100.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Job Responsibility

Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads
Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity
Provide technical/science leadership related to computer vision, large language models and contextual targeting
Research new and innovative machine learning approaches
Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with

What we offer

Sign-on payments and restricted stock units (RSUs)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave

Fulltime

Sr. Data Scientist

Do you have a relentless passion for data and analytics and a desire to drive fu...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR equivalent experience

Job Responsibility

As an expert in data science, you will take on the most complex business problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in the context of customer, engineering, and business needs
You will build everything required to uncover business opportunities and generate actionable insights that move the needle
You will establish causality and conduct experiments to gain insights into quality, health of products, and customer usage
Additionally, you will lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities, while fine-tuning foundational models to improve intelligent search experiences
You will engage with peers to produce clear, compelling, and data-backed hypotheses and insights which are actionable and influence product and service improvements—crafting the experience millions of customers have with Windows
You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results
Through your analysis and research, you will curate and maintain Key Performance Indicators which show trends towards achieving a business goal
You will learn and excel in ways to find patterns in the data that are harder to detect but can lead to achieving our business objectives
Your analysis will not only show us what we're doing right or wrong in our current methodology, but also what customer segments and strategies we should invest more in, and how, for achieving and exceeding our goals

Fulltime

Sr. Data Scientist - Freewheel

Freewheel is currently looking to recruit a Sr. Data Scientist to join our Audie...

Location

United States

Salary:

Not provided

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research
At least 3 of experience with Python, SQL, and analytical model implementation
Experience with Optimization Models such as Linear and Nonlinear Programming
Skilled at data mangling and manipulation
Experience with data visualization tools and programming packages
Strong analytical and problem-solving skills
ability to work creatively in problem solving environment
Experience using AWS or other cloud-based platforms
Proven ability to deliver on complex projects within deadlines
Ability to communicate technical concepts to a non-technical audience

Job Responsibility

Implement ad tech solutions leveraging statistical models and machine learning methods
Identify key data questions and conducting exploratory analyses
Building forecasting methods for advertising use cases
Applying optimization methods for ad scheduling applications
Effectively leveraging key functionality in AWS and Spark-based technologies
Researching and applying new technologies and analytical methods
Applying advanced data visualization to provide key insights
Working independently and as part of a broader team across multiple project

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support

Fulltime

Sr Data Scientist

We are seeking an exceptional Senior Data Scientist to join our dynamic Data Sci...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 3+ years of hands-on experience in building AI/ML models for Financial Planning & Analysis or Corporate Finance domain
Proven track record of designing and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications

Job Responsibility

Develop and maintain advanced predictive models for Sales, revenue forecasting, expense management, and cash flow optimization
Build automated model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modeling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options –3 days in office arrangement
Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

Fulltime

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Sr. Applications Scientist

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