Decision Scientist II Job at Retail Insight (Chicago)

Scientist II, In Vivo, Enzymatic and Metabolic Therapeutic Area

The Scientist will join the Enzymatic and Metabolic In Vivo team to design and e...

Location

United States , Petaluma, CA

Salary:

116000.00 - 159500.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

PhD in a related subject area with demonstrated in vivo research experience in metabolic disease
Postdoctoral or industry (2-5 years preferred) experience in genetic metabolic diseases
Extensive hands-on experience with rodent in vivo work in the metabolic field
Demonstrated experience in metabolic biology/disease research in academia or industry (preferred) including publication record
Strong analytical, problem-solving, and decision-making skills
Strong understanding of genetically engineered models, breeding, and management and Gene therapy modalities
Excellent oral and written communication skills
Passion for contributing your scientific skills to develop therapies for patients in need
Must be able to utilize computer databases for analysis, data entry, and point of care observations
Must be able to work under time constraints with minimal direction of day-to-day responsibilities, including collaboratively working with multidisciplinary teams

Job Responsibility

Conduct research on genetic metabolic diseases
Contribute to novel therapeutic programs based on innovative, ground-breaking discoveries that could lead to new, high-impact opportunities for patients
Perform research and publish findings in high-impact journals and present research at major conferences
Effectively partner with other scientists and the Research and Early Development team to develop and execute on the program's strategic plan
Present program data at a range of internal forums, including project team meetings, Research Department Seminars and Research leadership governance forums
Write, review and contribute to study synopses, protocols, study reports and regulatory documents
Collaborate with various BioMarin functions, CROs, university or analytical laboratories, business partners, as necessary to ensure appropriate/timely progression of projects
Participate in multi-disciplinary drug development teams and may lead sub-teams
Execute hands-on responsibilities including but not limited to animal handling and restraint (rodents), administration via various routes of administration, including intravenous (tail-vein), in-life animal health monitoring and measurements, clinical observations, sample collection and processing, and accurate data collection
Provide daily care and monitoring of mice or rats, including health checks and documentation

What we offer

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Fulltime

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE

Job Responsibility

Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision

Fulltime

Senior Clinical Laboratory Scientist

The Senior Clinical Laboratory Scientist will be responsible for performing mode...

Location

United States , Madison

Salary:

69000.00 - 122000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Associate degree in a laboratory science (chemical or biological science) or medical laboratory technology from an accredited institution or equivalent laboratory training and experience as defined: 60 semester hours or equivalent from an accredited institution that, at a minimum, includes either 24 semester hours of medical laboratory technology courses, OR 24 semester hours of science courses that include six semester hours of chemistry, six semester hours of biology, and 12 semester hours of chemistry, biology or medical laboratory technology in any combination
3+ years of high complexity clinical testing experience in a clinical laboratory setting
Demonstrated strong professionalism and leadership skills
Demonstrated intermediate level project management skills
Demonstrated strong technical skills and professional working knowledge of job industry
Demonstrated ability to perform the Essential Duties of the position with or without accommodation
Authorization to work in the United States without sponsorship

Job Responsibility

Perform moderate and highly complex laboratory tests, procedures, and analyses according to the laboratory’s standard operating procedures with minimal supervision
Perform, review, and document laboratory quality control procedures
Identify potential problems, determine potential solutions, and take appropriate action in order to maintain a high level of quality in test processes and results
Achieve and maintain competency on laboratory tasks
Participate in research, validation, and/or implementation of new procedures and/or technologies
Maintain stringent standards for quality, by identifying, investigating, correcting, and documenting any issues which might adversely impact the quality of test results and/or employee safety, and communicating these to the appropriate management representatives as necessary for resolution
Determine appropriate time allocation between daily test processing needs and project needs in a high quality, efficient and effective manner with minimal direction
Demonstrate and maintain effective communication with internal employees, managers, customers, and cross-functional teams
Model behaviors that promote high productivity, quality and maintaining TAT
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork

What we offer

Paid time off (including days for vacation, holidays, volunteering, and personal time)
Paid leave for parents and caregivers
A retirement savings plan
Wellness support
Health benefits including medical, prescription drug, dental, and vision coverage
Bonus eligibility

Fulltime

Manager II, Applied Science (Safety)

We are looking for a Manager II, Applied Science, to lead a global team of data ...

Location

United States , San Francisco

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
Minimum 3 years of experience in managing a team of Applied / Data Scientists with strong people leadership skills, including growing and mentoring your team members
Proficiency using SQL, Python, PySpark at scale with large data sets in a production environment.
Experienced in partnering with cross-functional stakeholders to influence and execute decisions.

Job Responsibility

Lead a global team of data scientists and applied scientists towards high-quality science output to make an impact on safety for all users on the Uber platform.
Own end-to-end science lifecycle on high-visibility safety projects, including deep dive analysis, modeling, experimentation design and readout, causal inference, and metrics monitoring and product iteration
Work closely with Uber's Core Services Product Managers, Engineers, and Operations Team to understand new opportunities and be a thought partner in solutioning

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Clinical Lab Scientist II (CLS) - Lab - Hematology/Blood Bank

The Clinical Laboratory Scientist supports the development and implementation of...

Location

United States , San Diego

Salary:

54.43 - 69.35 USD / Hour

Rady Children's Hospital-San Diego

Expiration Date

Until further notice

Requirements

Bachelor's Degree
1 year of experience
CA Clinical Lab Scientist License
Strong emphasis in Blood Bank and Hematology preferred
Laboratory Information Systems: Epic Beaker, WellSky
Blood Bank Analyzer: Ortho Vision Swift
Hematology: Beckman Coulter DxH series, CellaVision
Coagulation: Stago STA Compact Max (CMAX)
Urinalysis: Akray AUTION series, Iris iQ/Beckman Coulter urinalysis platforms
Knowledge of hospital and laboratory policies and procedures.

Job Responsibility

Support the development and implementation of new diagnostic assays
Perform assay and equipment validations
Author standard operating procedures
Develop training and competency documentation
Ensure quality and regulatory compliance
Perform pre-analytical, analytical, and post-analytical testing of moderate- and high-complexity procedures in accordance with CLIA standards
Conduct specialized testing across all core clinical laboratory areas
Evaluate, document, and report laboratory results to support diagnostic and treatment decisions for the pediatric patient population.

What we offer

Sign-on and relocation bonuses for eligible candidates
Opportunities for advancement through our clinical ladder system
Shift differentials pay available for eligible evenings, nights, and weekend shifts
Generous paid-time off
Sick leave
403(b) retirement plan
Medical, dental, and vision coverage
Wellness programs
100% employer-paid life insurance
LTD

Parttime

Applied Scientist II

Are you passionate about solving complex business problems at scale through Gene...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Design and build expertise agentic AI systems with multi-step reasoning, autonomous task execution, and multimodal intelligence with capabilities to handle feedback with memory mechanisms
Productionize large scale models built on top of SFT (Supervised Finetuning) and RFT (Reinforced fine tuning) approaches, few shot approaches based on multimodal datasets
Build novel production ready Deep and conventional ML solutions to aid the multiple potential automation requirements
Identify customer and business problems at project level
invent or extend state-of-the-art approaches for complex workflows involving unstructured text, documents, images, and relational data
Author or co-author research papers for peer-reviewed venues
serve as PC member at conferences when aligned with business needs
Prototype rapidly, iterate based on feedback, and deliver components at SDE I+ level that integrate directly into production-scale systems
Engineer efficient systems balancing model capability, deployment cost, and resource usage
write significant code demonstrating technical excellence and maintainability

Scientist II, Consumer Experience

Scientists at Uber use data to measure, analyze, and optimize all of Uber's prod...

Location

United States , San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry)
Experience in experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Proficiency in Python/R and SQL

Job Responsibility

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions
Define how our teams measure success by developing and tracking metrics
Develop models to predict user app behavior and build personalized experiences
Collaborate with other Scientists and Engineers to build and improve data foundations
Present findings to business and executive audiences

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Scientist II, Fares

The fares platform team powers the fares for all of Uber - that’s all riders, ea...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields
3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry)
Experience with experiment design, exploratory data analysis, causal inference and model development
Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R)

Job Responsibility

Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business
Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success
Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams
Build ML models to solve complex problems and create AI agents to automate data science workflows
Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Decision Scientist II

Retail Insight

Location:
United States , Chicago

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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