Senior Staff Data Scientist Jobs

BS or higher in a quantitative discipline (Statistics, mathematics, qualitative social science, operation management, finance, physics) or equivalent working experience

Work with Legal and Compliance on model review and approval, satisfy governance requirement

Years of hands-on experience with data science and statistical modeling

Solid analytical skills and an understanding of how to utilize data to target improvements, solve problems, and provide data-driven insights

Strong organization skills and the ability to communicate effectively, both verbally and in written

Exceptional problem-solving skills and ability to work effectively with minimal Comfortable working both independently and in a team environment.

Strong programming skills in Python and experience with Machine Learning tools (numpy, scipy,scikit-learn, pandas, pytorch/ tensorflow, ...)

Strong knowledge of data science algorithms and their limitations (execution speed, memory considerations, etc)

Experience dealing with very large datasets

Familiarity with database environments (including distributed big data solutions) and functional SQL knowledge

Experience with cloud providers (AWS, GCP, Azure)

Research: Discover solutions to unique data science challenges while satisfying business needs

Develop strong partnerships with key stakeholders within Business, IT, Program/Product, Marketing, and Finance to identify business requirements and expected outcomes

Provide ongoing thought leadership to testing programs, R&D management, or other management concerns

Education, Certifications, or Special Licenses

Improve the enterprise’s knowledge of emerging technologies, frameworks, and trends in AI (Artificial Intelligence) and ML

Work with IT teams to support data collection, integration and retention requirements based on input collected with the business

Assess, with the business, the expected qualification and assurance of the information in support of the use case(s)

Working knowledge of statistical applications/software (Redshift SQL, "Oracle" SQL, python, R, etc) and experience with Excel and Powerpoint

Minimum 3 years of work experience in a non-academic setting

Minimum 5 years of experience in an analytical business function

Working knowledge of Pharmaceutical industry data sources/business models would be an asset

Master’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, or related fields with an emphasis on statistics and business analysis.

Proficiency in advanced mathematics/statistics (regressions, optimization, clustering analysis, predictive modeling etc.) and data mining

Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and marketing’s roadmap

You will have the seat at the table for every key decision for growth and marketing strategies

You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale

You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps

Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

Experience in enterprise level ML product development is required.

Execute data science innovation topics for Forecast Engine Utility and Integrated Business operations to deliver global forecast KPIs

Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.

Actively contribute to and re-use UL DS community best practices.

Working in an agile environment with globally distributed teams.

Mentor and supervise team member across the organization.

• Work closely with Machine Learning, Engineering and Product teams to understand requirements and help build solutions.

• 5+ years of professional experience in data science focusing on AI/ML products.

• Experience working with natural language data (experience working with large language models is a plus)

• Experience in one or more programming languages (e.g., Python, Scala, etc.).

• Experience in one or more Statistical or mathematical software (E.g.,SAS, or Matlab, etc.).

• Experience in database modeling, SQL, and data warehousing principles.

A strong problem solver with critical thinking skills who can formulate a problem into a solution.

Experienced in architecting end-to-end solutions for production deployment (considered an asset but not required).

Analyzing complex, high-volume data from varying sources and identifying key regularities, patterns and trends.

Prototyping and developing machine learning models in collaboration with an agile, high-functioning team.

Implementing effective monitoring and benchmarking for model performance comparison.

Leveraging new research in data modeling to identify opportunities, pioneering algorithms and systems that become key commercial products.

Experience leading projects and mentoringteam members

Experience with one or more deep learning technologies and frameworks (NLP, image analysis, generative models)

A comprehensive benefits package including medical, dental, vision, and generous mental health support options– all available on day 1

Statistical modelling: You’ll develop and implement advanced statistical models and algorithms to solve complex business problems

Product Insights and Strategy: Collaborate with cross-functional teams to translate data insights into actionable recommendations for product roadmap planning and strategy

High level of proficiency in statistical modeling and machine learning (e.g. feature engineering and selection, regression, classification, NLP, etc.)

Strong written and oral communication skills, and project management skills

Exhibits routine and occasionally complex problem solving skills, seeking direction when appropriate.

At least some relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.

Good understanding of ICH and Regulatory Guidelines including submission requirements and data conformance (e.g., Pinnacle21)

Statistical Programming and SAS, R, or Python hands-on experience

Working knowledge of clinical data and relevant data standards (e.g., CDISC)

Designing, implementing and maintaining these analysis pipelines (typically in Python), ensuring data integrity, correctness, clarity and adherence to regulatory requirements.

You have experience with high throughput and/or IND-enabling scientific workflows.

You’re driven to learn and master new technical skills.

PhD, MSc or BSc in computer science, statistics, the sciences or a related field with 6+ years of related work experience.

Experience collecting or analyzing laboratory datasets.

Collaborating with scientists to develop standard protocols to execute and capture results from medium and high throughput experiments.

    Experience dealing with large datasets;

    Experience with Python and SQL, with the ability to create complex queries and joins;

    Strong data analysis and data modeling skills;

    Experience with data analytics tools in AWS or other cloud computing environments;

    Experience with machine learning (supervised or unsupervised);

    Experience with data manipulation and designing and implementing ETL processes;

Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Hands-on experience building models is a must.

Experience with supply chain/retail forecasting is a must.

Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.

Effectively communicate the analytics approach and how it will meet and address objectives to business partners.

Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions.

Attention to detail and in-depth planning, organizational and time management skills

Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

Learn about business processes to analyze, interpret, and advise managers on analytical findings

Coding experience preferably in Python (minimum 3 years)

Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

Strong problem solving and analytical skills

Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

Experience with AWS services including SageMaker

Experience with machine learning including supervised and unsupervised models

Demonstrated experience in data transformation & data manipulation

Build statistical and ML models to proactively identify optimization opportunities in user onboarding and content quality management.

Knowledge and experience working with Google Analytics, Tableau, Amplitude, Airflow, and Linux/Shell scripting

Very good proficiency in Python and hands-on skills in SQL

Experience with Payment System/Infrastructure or Purchase Checkout Flow

Experience working in edTech or e-commerce domain

Top 50 Most Transformational Companies in Education Technology

3-5 years of hands-on experience with projects related to machine learning and computer vision

Soft skills, including communication, accountability, and the ability to work independently and embrace challenge

Experience: 5+ years of ML experience, including 2+ years overseeing ML-based projects and teams

PhD (preferred) with a specialization in Data Science, Mathematics, Computer Science, Statistics, or related field.

Machine learning: 5 years (preferred)

Our work environment is fast-paced, collaborative and creative:

Excellent communication skills and comfort working in a collaborative inter-discipline environment

Undergraduate degree in Computer Science, Statistics or similar, or equivalent experience

Desire to learn and share knowledge with peers

Medical, dental, vision, EAP, life insurance, and disability benefits (US)

Write well crafted, efficient and testable algorithms

Plan and implement tasks of small to medium scale independently

Work in an agile work environment with internal product manager to understand and react to priorities in timely manner

At least 4 years of work experience as data scientist

Experience in at-least one of the areas of search optimization, OCR, NLP, and recommendation systems

Hands-on experience working with distributed version control systems (ideally GitHub) using command-line interface

Experience with productionizing POC Machine Learning solutions and familiarity with code lifecycle

Ability to translate business needs into technical requirements