CrawlJobs Logo

Data Scientist II

coursera.org Logo

Coursera

Location Icon

Location:
Canada

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

113600.00 - 142000.00 CAD / Year
Save Job
Save Icon
Apply Position

Job Description:

We’re looking for a knowledgeable Data Scientist - Product Analytics to support decision-making for our product teams. This role will be leveraging the rich data captured by over 200M+ learners and thousands of instructors engaging on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Product Managers (PMs) who own parts of Coursera’s educator or learner experience. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive innovative product development.

Job Responsibility:

  • Develop an understanding of Coursera’s products, business, and learners to tie insights and analysis to actionable recommendations
  • Analyze the results of A/B tests and conduct deep dives on our learner and product experiences
  • Create dashboards and set up systems and tools for tracking product metrics
  • Create leverage by enabling Product Managers to better self-serve data on their product area
  • Present findings and recommendations to product teams and cross-functional partners in a clear and concise manner

Requirements:

  • Background in economics, statistics, data science, computer science, or a related technical field
  • 3+ years of experience as a data scientist, data analyst, or business intelligence analyst
  • Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)
  • Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau)
  • Excellent communication skills, with the ability to translate complex data findings into actionable insights
  • Strong attention to detail and the ability to manage multiple projects simultaneously

Nice to have:

  • 5+ years of experience using data to advise product, marketing, or business teams
  • Advanced proficiency with SQL and Python to produce clear and actionable insights
  • Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows
  • Familiarity with online education platforms, specifically with platforms like Coursera and Udemy
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Coursera - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon
PREMIUM
More languages and countries
+ Unlock 31694 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist II

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

Decision Scientist II

Turn Data into Action with Retail Insight. At Retail Insight (RI), we transform ...
Location
Location
United States , Chicago
Salary
Salary:
95000.00 - 110000.00 USD / Year
retailinsight.io Logo
Retail Insight
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience working on analytics projects within a STEM background
  • Pragmatic approach to deadlines, focusing on deliverables
  • Practical programming experience, ideally using Python, R, etc
  • Knowledge and experience of using Machine Learning, Data Science, and Statistical techniques
  • Experience presenting results and proposals to a cross-functional team
  • Familiarity with cloud computing tools, ideally Azure
Job Responsibility
Job Responsibility
  • Designing our algorithms using relevant statistical and machine learning techniques
  • Define the quantitative elements of projects for internal R&D and external clients, predominantly success criteria
  • Contribute to the design, implementation, and testing of our products
  • Communicating with varying levels of stakeholder in both technical and non-technical language
  • Have a continuous improvement mindset, with an eye for detail and pride in your work
  • Writing high-quality and well-documented code
What we offer
What we offer
  • Hybrid & Flexible Working: Work from anywhere with 2 days in-office per week (typical), plus summer hours and extra days off for life’s big moments (including your birthday and wedding)
  • Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources
  • Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace
  • Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan
  • Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform
  • Fulltime
Read More
Arrow Right

Data Engineer II

We’re looking for a Data Engineer II to join our Decisions & Insights team — the...
Location
Location
United States , San Francisco
Salary
Salary:
101250.00 - 162000.00 USD / Year
axon.com Logo
Axon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Engineer, Analytics Engineer, or similar hybrid role
  • Advanced SQL skills with strong understanding of schema design and analytical database patterns
  • Strong Python experience for data manipulation, scripting, and automation
  • Strong analytical mindset, attention to detail, and a passion for turning complex datasets into clear insights
  • Solid Git experience for collaboration and version control
  • Experience integrating and analyzing data from AWS services (e.g., Redshift, S3, APIs)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain automated ETL/ELT pipelines and analytical models in Redshift using SQL, dbt, or SQLMesh
  • Build clean, structured datasets that enable fast, self-serve insights for PMs, analysts, and operational agents
  • Create dashboards and analytical tools (e.g., Tableau) that make insights intuitive and actionable
  • Optimize SQL queries, schemas, and table designs for high-volume analytics workloads
  • Partner with product managers, data scientists, and engineering teams to deliver analysis that supports product and operational decisions
  • Use Python to automate processing, improve pipeline reliability, and support advanced analytical workflows
  • Apply best practices for Git-based version control, testing, documentation, and data quality monitoring
  • Participate in design reviews for new analytical features and data systems
What we offer
What we offer
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Snacks in our offices
  • Fulltime
Read More
Arrow Right

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
Location
United States , Petaluma, CA
Salary
Salary:
116000.00 - 159500.00 USD / Year
biomarin.com Logo
BioMarin Pharmaceutical
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Scientist

We are seeking a versatile and proactive Data Scientist to join our dynamic team...
Location
Location
India , Pune
Salary
Salary:
Not provided
Jash Data Sciences
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python programming skills with hands-on project experience
  • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods)
  • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas
  • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning
  • Experience with NLP, Computer Vision, or Time Series Analysis
  • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models)
  • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy)
  • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS)
  • Strong prompt engineering skills and understanding of prompt optimization techniques
  • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them
Job Responsibility
Job Responsibility
  • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems
  • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques
  • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions
  • Build and deploy production-ready LLM applications using modern frameworks and best practices
  • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models
  • Perform prompt engineering and optimization to maximize LLM performance for specific use cases
  • Implement agentic AI systems and multi-agent workflows for complex automation tasks
  • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks
  • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools
  • Optimize database performance and create efficient SQL queries
What we offer
What we offer
  • Competitive salary commensurate with experience
  • Opportunity to work on diverse, cutting-edge AI/ML projects
  • Collaborative and innovation-driven work environment
  • Rapid growth and continuous learning opportunities
  • Exposure to latest AI technologies and industry best practices
Read More
Arrow Right

Applied Scientist II

Come build the core of Microsoft Copilot for enterprise with the Microsoft Turin...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Master a broad research area and understand relevant research techniques
  • Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs
  • Review business and product requirements, incorporate research insights, and provide strategic guidance for problem‑solving
  • Ensure scientific rigor, support method development, and apply expertise to drive business impact
  • Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives
  • Share research findings through industry outreach, collaborate with the academic community, and support recruiting pipeline development
  • Document experimentation and results to promote innovation
  • Provide guidance on capturing processes and contribute to ethics and privacy policies related to research practices and data collection
  • Fulltime
Read More
Arrow Right

Forward-Deployed Data Scientist II

As our customer base continues to grow with the excitement around BrazeAI, we’re...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
Read More
Arrow Right

Data Engineer II

Do you have a relentless passion for data engineering and building platforms tha...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering. OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering. OR equivalent experience.
  • Ability to work and communicate effectively across disciplines and teams.
  • Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark.
Job Responsibility
Job Responsibility
  • Authoring and design of Big Data ETL platforms and pipelines in SCOPE, Scala, SQL, Python, or C#.
  • Data extraction across a wide variety of data sources.
  • Data cleaning, preprocessing, and transformation for further analysis by data analysts.
  • Data Validation framework from source to endpoints ensuring data quality and integrity.
  • Enable the Data Scientists and Analysts to do more with data across all aspects of the development lifecycle.
  • Contribute to a data-driven culture as well as a culture of experimentation across the organization.
  • Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios.
  • Enable Data Scientists and other partners to do more with data across all aspects of the development lifecycle by helping democratize data.
  • Fulltime
Read More
Arrow Right