Sr Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Auto Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Insurance Data Scientist

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Insurance Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Senior Data Scientist

About the role:
The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.

In this role, you will:

Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Lead org-wide initiatives on science, testing, and data-driven decision making
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

BS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics)
8+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
Experience coaching and mentoring more junior scientists

An ideal candidate also has:

PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)
Record of successful mentoring and development of junior team members
Experience working with large datasets using distributed computing (e.g., Spark, Hive)


Senior Data Scientist Nlp

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. 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 solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  Bachelor's Degree in Data Science, Computer Science, or a related field 6+ years of Data Science and Machine Learning experience required Proficiency in Python. Ability to write complex SQL queries. Exposure to SAS preferred Proficiency with NLP concepts and experience in implementing NLP use cases preferred Proficiency with Statistics and Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Data Scientist Marketing

Bungie is looking for an experienced Data Scientist to help shape measurement and optimization of marketing campaigns. As part of the Bungie Analytics & Insights team you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and machine learning to provide marketers, business leaders, and project leads with actionable insights to make the best marketing campaigns possible. Most importantly, you will work at a fun and energetic company that is devoted to making world-class games.
Ideal candidates must have experience supporting Marketing teams and initiatives.
RESPONSIBILITIES
Develop relationships with members of the publishing and marketing teams to understand their analytics and data science needs
Designing experiments to clearly measure lift with control groups, as well as conducting inferential analysis to estimate uplift (casual analysis) from historical efforts
Perform ad-hoc analyses that inform marketing decisions being made by the team
Transform raw data and build efficient pipelines to create and support customer facing dashboards and reporting resources
Communicate the results of your analyses to technical and non-technical colleagues
Translate hypotheses about marketing campaign behavior into models to improve campaigns
Develop models for predicting and segmenting audience response
Various other data related tasks necessary to support the team
REQUIRED SKILLS
Proven experience as a Data Scientist, Technical Analyst, or similar role
Advanced SQL skills
Intermediate Python or R skills
Experience analyzing large media data sets (e.g. Attribution, Campaign Tests, etc.)
Experience applying ML models and statistical analysis
Foundational knowledge of statistics and test measurement
Understanding of digital media fundamentals
Ability to create clear data visualizations for a variety of stakeholders
Ability to effectively communicate technical insights to a non-technical audience
Understanding of data science use cases and data engineering concepts (e.g., modeling, pipelines, warehousing)
Knowledge of database marketing fundamentals (e.g. segmentation)
NICE-TO-HAVE SKILLS
Experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Experience with Tableau or similar data visualization tool
Experience with Web Analytics tools (e.g. Google Analytics)
Experience with data warehousing and data engineering
Interest in Gaming and foundational knowledge of Games
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Data Scientist

As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!We are open to all levels of experience from Entry Level up to Managerial.Internal Compensation Grade: Can be hired at multiple grades, E5, F5, G5 and H5.Location: This position can be filled as Hybrid or Remote Job Description SummaryDo you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning, and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment, and presentation of results. We value a dedication to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you! As a Senior Consultant, you'll work directly with business partners to define project scopes and build solutions. We’ll count on you to structure and lead large, complex analyses across one or more areas and effectively synthesize analytic results to improve business outcomes. You’ll build lasting relationships and help business leaders navigate complex, competing objectives. You’ll be a subject matter authority, in both analytical and business applications, and will communicate effectively with technical and non-technical audiences. Your proficiency with advanced statistical and machine learning techniques will help you direct the application of these techniques to solve complex problems.Job DescriptionKey Responsibilities:
Leads large projects of broad scope and business impact that involve the design, development, implementation, and monitoring of statistical and machine learning models.
Consults with business partners to understand, define, and deliver work that meets their needs and delivers timely results.
Effectively integrates internal and external research findings to generate hypotheses and help business partners make informed decisions.
Applies knowledge of advanced quantitative techniques to analyze any given data structure.
Builds predictive and explanatory models to generate impactful insights and practical solutions to business problems.
Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.
Designs and guides the research and application of modeling methodology.
Collaborates with multiple departments or business functions to accomplish management goals, objectives, and tasks.
May perform other responsibilities as assigned.Typical Skills and Experiences:Education: Preferred graduate studies in statistics, engineering, math, quantitative social science fields, or related areas. Proven experience building and deploying machine learning and/or statistical models or executing quantitative research studies may be considered in lieu of formal education.Experience: Typically, seven or more years of related work experience in a relevant field.Knowledge, Abilities and Skills:Quantitative judgment: Proven experience building and deploying machine learning and/or statistical models. Research Methods: Knowledge of multiple quantitative research and analysis approaches and their tradeoffs. Programming ability: Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.) Strong project management skills and the ability to handle multiple large projects simultaneously. Advanced written and verbal communication skills with the ability to communicate technical concepts to different level audiences with varying technical knowledge. Solicits and objectively considers input from appropriate sources. Considers implications of actions on other areas, people, and processes when making a decision. Passion, inquisitiveness, creativity, self-starters, and team builders.Other criteria, including leadership skills, competencies and experiences may take precedence.Staffing exceptions to the above must be approved by the Vice President and HR Vice President.Values: Regularly and consistently demonstrates the Nationwide Values. Job Conditions: Overtime Eligibility: Exempt (Not Eligible) Working Conditions: Normal office environmentADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.#LI-KF1BenefitsWe have an array of benefits to fit your needs, including: medical/dental, paid time off plus nine paid holidays, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdfNationwide utilizes a geographic-specific salary structure. The range for this role in Colorado is$124,000.00 - $181,000.00
Nationwide pays based on a geographic-specific salary structure. The range for this role in Ithaca, New York is$124,000.00 - $238,000.00


Data Science Internship

As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!Job Description SummaryJob DescriptionNationwide Insurance is seeking candidates for various Data Science internship positions to join the Enterprise Analytics Office (EAO) from May to August 2023.EAO Data Scientists support all of Nationwide’s products by working with business partners to develop integrated, end-to-end solutions contributing to company success. We uphold a high standard for methodological rigor using sound statistical inference and robust model validation in our daily work.As a Data Science Intern, you will work with real customer data, build and evaluate predictive or explanatory models, and provide recommendations using impactful storylines and advanced data visualizations catered to both technical and non-technical audiences. You will use enterprise-class analytic software tools and platforms including R, Python, Tableau, Teradata, and Amazon Web Services.Graduate or undergraduate candidates will be considered, from any major. Some statistical and/or technical background is preferred.Job SummaryAs a Data Science Intern, you will take an active role on one or more projects within Nationwide’s Enterprise Analytics Office and participate in many or all phases of the analytic lifecycle, including:
Working with team members and business partners to identify, define and research the business problem to be solved.
Acquiring, preparing, and cleaning data sets from one or more data sources, some containing millions of rows and hundreds of dimensions.
Analyzing and visualizing trends and patterns in structured and/or unstructured data and effectively communicating relevant insights in support of business problem solving.
Building, implementing, evaluating, and documenting predictive and/or explanatory models and sharing insights and practical solutions with the team and business partners.
*This internship will be fully remoteAs an intern in the EAO, you’ll be part of a highly collaborative work environment and develop valuable technical and nontechnical skills beneficial to your development as a professional. #wayupAll the materials in this document are proprietary & confidential. Unauthorized use or publication of any part of this document outside of Nationwide is strictly prohibited. Copyright Nationwide Mutual Insurance CompanyBenefitsWe have an array of benefits to fit your needs, including: medical/dental, paid time off plus nine paid holidays, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.


Data Scientist Senior

Data Scientist, Senior
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve Navy mission solutions. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us as we use data science for good in Navy mission solutions.
Empower change with us.
You Have:
3+ years of experience with analyzing data3+ years of experience with developing data science solutions in a scripting or programming language, including Python, R, C, or JavaKnowledge of data engineering practices, including ETL or ELTSecret clearanceBachelor's degree
Nice If You Have:
5+ years of experience with using statistical software applications, including SAS or R5+ years of experience with developing statistical and simulation models3+ years of experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP3+ years of experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationshipsTop Secret clearanceMaster's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $90,000 to $110,000.
Create Your Career:
At Booz Allen, we know the power of analytics and intelligence. When you join Booz Allen, we’ll help you develop the career you want.
Challenging projects – Whether training analysts on military equipment through VR technology; developing a simulation capability to allow teams to rehearse missions together; or integrating RFID tags into mobile devices to enable data access within a geo parameter, you’ll get to solve some of the world’s toughest problems
Meaningful work – Use your skills to empower change. Your work will keep citizens and warfighters safe and well both at home and abroad
State-of-the-art technology – Broaden your intelligence capabilities with digital forensics, telematics, precision navigation, secure mobile operations, and advanced analytics
New skills – In-house experts and partnerships with tech leaders, like Nvidia and Splunk, mean you can get practical experience with advanced GPU technologies, cyber security, and data science
Room to grow – You’ll be inspired to grow your career while making your ideas a reality thanks to new opportunities across the U.S. and abroad, encouraging mentors, and collaborative colleagues you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
#LI-AH1


Senior Data Scientist

Degreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—andmatch everyone to growth opportunities that fit their unique skills, roles, and goals.
The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers. To do this, we use a diverse set oftools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and neural networks. Degreed is looking for a capable, qualified and versatile. Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions.
Position can be located in US, Brazil, or India.
Day in the Life
Lead multiple end-to-end ML projects

Discover and translate business challenges to data problems, data-pipelines and model framework

Mine structured and unstructured data (company internal data and public data)
Engineer features, build models, and evaluate model performance
Collaborate with product and engineering teams to deploy models to support production
Deliver fast while continually adjusting models according to real-time feedback
Communicate about data science with a diverse set of stakeholders and development partners
This is not a data analyst role
This description reflects management's assignment of essential functions; it does not prescribe or restrict other tasks as assigned and is subject to change at any time.

Who You Are

4+ year hands-on experience in one of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning production software. Including 2+ years focusing on developing knowledge graphs, or NLP models or content recommendation systems
Strong coding skills in Python, or R
Advanced skills in database querying (SQL, noSQL) and search techniques
Experience building prototypes and experiments to validate technical ideas
Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes

Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git)

Ability to blend together diverse data sources to create training data for specific problems
Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level

Experience working remotely - It takes a self-motivated individual to thrive on a distributed team

You are a lifelong learner and passionate about learning new things and taking on new challenges

What Sets You Apart

Experience working with graph data models (RDF, Property), graph query languages (Gremlin,
SPARQL, Cypher), or graph databases (Azure CosmosDB, Amazon Neptune, Neo4J,
TigerGraph)

Experience in Natural Language Processing techniques for entity resolution, disambiguation, and

linking

Experience with tools and platforms like ElasticSearch, Microsoft Azure, AWS, BERT, GPT,

Word2Vec (w2v), Databricks

A proven track record leading successful applied data science projects

Educational/Certification Requirements

Master or PhD degree in a quantitative field like Computer Science, Applied Math, Physics, Data

Science, Analytics, etc

Additional InformationThis position requires the successful candidate to work in US, Brazil or India. Prior to commencing work,applicants must have and provide Degreed with proof of authorization to work in US, Brazil or India.Degreed provides equal employment opportunities to all employees and applicants for employment andprohibits discrimination and harassment of any type without regard to race, color, religion, age, sex,national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity orexpression, or any other characteristic protected by federal, state or local laws. This policy applies to allterms and conditions of employment, including recruiting, hiring, placement, promotion, termination,layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to the full inclusion of all qualified individuals. As part of this commitment, Degreed willprovide reasonable accommodations to all qualified individuals with disabilities to participate in the job.
Total Rewards at Degreed
We believe your best work happens when you have a complete life balance, and Degreed gives you the support and flexibility to make that happen. Degreed is committed to delivering a comprehensive benefits program that provides the support you need. At the time of this posting, this role is eligible to participate in the following benefits:

Comprehensive health insurance for you and your family (both PPO and HDHP plans available)
Dental and vision plans for you and your family
Employer-paid life insurance, AD&D, short-term disability, and long-term disability
Company equity
401(k) Retirement Savings Plan with up to 4% match
Company funded HSA and dependent care FSA (pending eligibility)
Generous Parental Leave
Unlimited Paid Time Off and 5 sick days per year
Education benefit: Up to $1,200 per year for anything you want to learn (and we mean anything)!
One-time Home Office Stipend to make your workspace more comfortable
Monthly internet and phone stipend
Monthly wellness stipend through Twic

*Degreed reserves the right to modify these benefits at any time, for any reason in accordance with applicable law. Please note the offerings vary based on location.


Senior Research Scientist

At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination.
Here, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You'll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy.
About the Role:
As a Senior Research Scientist, you will independently, and in partnership with the Research & Insights team, advance Thorn’s organizational knowledge of online child sexual exploitation and emerging trends. The work you do will be a combination of finding quick wins and developing longer-term research. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with both technical and non-technical audiences. You’ll serve as a source of issue expertise in online child sexual exploitation and emerging trends. You’ll work closely with the Head of Research & Insights to grow the Research team’s impact, both internally and externally, by delivering nimble, innovative, and rigorous research.
What You’ll Do:

Lead a diverse portfolio of research projects leveraging a variety of large, unstructured data sources to drive understanding of trends in online child sexual exploitation

Implement new statistical or machine learning methodologies as needed for specific models or analyses
Draft briefs and reports that clearly and accurately distill nuanced subjects to a range of technical and non-technical audiences
Serve as a source of issue expertise in online child sexual exploitation and emerging trends. Mastering a variety of concepts and related data points to help Thorn make strategic decisions off the best information available.
Create visualizations to facilitate strategic decision making
Keep up to date with the newest developments in statistical analysis and related data science technologies
Mentor teammates fostering critical thinking and excellence in our research
Actively pursue diversity and inclusion in Thorn research to ensure all kids are represented in our understanding of this issue
Intentionally and proactively practice, defend and improve data ethics and statistical integrity, both in own work and cross-functionally across teams

Skills We’re Seeking

5+ experience in statistical analysis and/or data science using either Python or R with at least moderate knowledge of Python.
2+ mentoring and coaching colleagues via pairing, research design, and code review
Strong written, verbal, and visual communication skills, and the ability to tailor messaging to a range of audiences
Some travel will be required in the future
Prior knowledge of child exploitation/abuse issues is a plus
Desire to serve Thorn’s mission

Technologies We Use

Python, Jupyter notebooks
Python packages for statistical analysis and ML, like scikit-learn, statsmodels, etc.
NLP tools like Spacy, Gensim, or Hugging Face transformers.
ElasticSearch, SQL
Network analysis tools like NetworkX, neo4j graph algorithms
Github for code version control
DVC for version control of non-code data analysis artifacts

You should have at least four years of professional experience with these:

Python or R for data analysis
Statistical inference, hypothesis testing, regression analysis
Time series analysis
Data quality analysis
Unsupervised learning / clustering techniques

In addition, you should have non-trivial experience with:

Network analysis / social networks analysis

Expertise in any of the following is a major plus:

NLP
Raw data collection and processing, like web scraping, working with APIs to collect data, working with open source data, and querying databases
Bias assessment
In-depth knowledge of digital photo image metadata, photo editing techniques, webcams
Linguistics, especially computational linguistics
Experience in Anthropology, Psychology/Sociology, Epidemiology, Criminology, Forensic Science, Fraud detection
Emerging trends detection
Data visualization

At Thorn, our remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences.
Thorn is a strong and flexible team because of the diverse backgrounds of our staff. This includes professional background, subject matter expertise, culture, race/ethnicity, sexual orientation, gender identity and expression, language, hobbies, etc. We strongly encourage women, minorities, and people from underrepresented backgrounds to apply. Your skills are needed here.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
“EEO is the Law” Poster
“EEO is the Law” Poster Supplement
Pay Transparency Nondiscrimination Provision


Sr Data Scientist

The Data & Analytics team at DriveWealth creates data outputs and products for internal and external customers.  We are looking for a Sr. Data Scientist to work closely with the product team to create both ad-hoc analytics and reusable outputs (dashboards and python notebooks) to monitor product growth and ideate on product usage. The output is focused on answering existing product questions but may lead to data and analytics features in the customer facing data products.  In addition, this role will establish a centralized data science practice so will work closely with the larger Data & Analytics team to create a reproducible data science pipeline.
 The ideal candidate thrives working closely with product managers while also being able to communicate very effectively with data engineers, analytics engineers and other internal stakeholders. The role will encompass working end-to-end on data products (from clarifying requirements to ideateing on the solution to building) with a central role of choosing the correct level of data science rigor to meet the objectives without being too sophisticated and time intensive. The candidate should be excited about coming into a team in the process of shaping the direction of data and analytics at DriveWealth; this means balancing competing priorities and laying the groundwork for data science to grow and help DriveWealth.

Responsibilities include, but are not limited to:

Work with product managers to understand the products and determine the appropriate analytic and data science outputs to help grow DriveWealth
Lead the construction of reusable outputs for internal end users (python notebooks, dashboards, csv outputs depending on use case)
Help create the structure necessary to reproduce “one off” data science results that can scale with DriveWealth and the data science team
Work with analytics engineering to create growing set of data features and data engineering to create data science and ML pipeline as needed

Proactively create analytics and dive into research on relevant data science topics, including ideating on analytics and data science usage through DriveWealth, helping to increase ability to make informed data driven decisions

Work to establish an open and scalable data culture through documentation, constructive code reviews and clear explanations of priorities and pain points

Qualifications:

5+ years of experience solving data problems with business partners to produce automated deliverables (ideally leveraging Python Notebooks)
Fluent in SQL and Python
Experience working in Tableau, QuickSight or other similar BI tools
Strong analytics and statistics background ideally with knowledge of behavioral modeling such as cohort and survival analyses
BS in Economics, Computer Science or equivalent program

Bonus

Familiarity with Snowflake and Databricks
FinTech or stock market experience
Familiarity with github and AGILE development
Experience with DBT, Airflow or other orchestration and SQL code management tools

#LI-TD1


Senior Data Scientist Web Analytics And Experimentation

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help define the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing different types of web experimentation (e.g. A/B testing quasi-experimentation, rollout)Experience collaborating with senior management and translating insights into actionsAbility for creating raw data and analysis into well-written contentProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement


Data Scientist Varying Levels

At Windfall, we aim to democratize access to people data and insights. The company helps nonprofit and for-profit organizations to more effectively identify, understand, and engage affluent consumers with the industry’s most reliable and accurate dataset available. More than 800 organizations use Windfall Data to identify and engage their most promising constituents. As a company, we are growing quickly, and every member of our team has a tangible impact on the success of our business and our customers.

At Windfall, data is our product — and data science lies at the heart of everything we do. We are looking for experienced data scientists who are able to run machine learning models in production from day one, and who are driven to deeply understand and build upon our unique data assets.

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.

Responsibilities:

Build production-quality, custom predictive models to enhance and expand our core product
Collaborate with team members and stakeholders to deliver findings to clients quickly & reliably
Investigate new data sources, perform statistical analyses, and document findings
Work with engineering and data vendors to improve the accuracy of our data sources

Requirements:

Advanced degree in a quantitative discipline
3 – 8+ years of full-time data science experience, including applied techniques in modern data science and machine learning in production environments
Expert knowledge of Python & SQL
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
The ability to communicate technical ideas to a non-technical audience
Self-starter with experience turning ideas into actionable designs
Excellent written and verbal communication
Eligible to work within the United States

About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and propensity modeling, Windfall activates insights into workflows that engage the right people for each respective organization. More than 800 data-driven organizations use Windfall to power their business.

We comply with CCPA. For more information on how we comply, review our privacy notice.


Bayesian Data Scientist

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy datasets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:

Extensive knowledge of statistics, machine learning, and data science
Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
Ability to work independently and communicate ideas effectively.

The following attributes will help you stand out from the crowd:

A track record of publications and/or presentations on Bayesian modeling topics.
MS or PhD in statistics or a related field
Familiarity with version control, especially Git/GitHub.
Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.


Actuarial Data Scientist

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. Instead of using traditional actuarial methods, we rely instead on more modern statistical approaches, particularly from the fields of Bayesian statistics and machine learning. We are building a robust, scalable, and highly automated pipeline by which we can price ILS transactions at scale with minimal human intervention.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are the fruit of decades of practical experience. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally. The synthesis of actuarial domain knowledge with cutting-edge techniques is at the crux of what we do.
About You:
Successful candidates will have all of the following attributes:

 Extensive knowledge of statistics, machine learning, and data science.
 Several years of hands-on experience in pricing and/or reserving for property and/or casualty insurance lines.
 Demonstrated ability to apply new statistical or modeling techniques to actuarial problems (e.g., loss development, rate segmentation, trend estimation, etc)
 Familiarity with modern Bayesian modeling techniques.
 Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
 Strong attention to detail and ability to reconcile conflicting or ambiguous sources of information.
 Ability to work independently and communicate ideas effectively.

The following attributes will help candidates stand out from the crowd:

 A track record of publications and/or presentations on actuarial modeling topics.
 Contributions to open-source data science or machine learning projects.
 An actuarial designation (ie., ACAS or FCAS).
MS or PhD in statistics or a related field preferred.
 Familiarity with Bayesian modeling using Stan.
 Familiarity with version control, especially Git/GitHub.


Data Scientist Ii

Caterpillar 7722E3E6 Dce2 4Be9 8F3E Ef9D67F23Bfd

Career Area:
Information Analytics
Job Description:
 JOB SUMMARY:
For over 90 years, our products and services have helped improve the lives of people around the world. Our customers use our products and our services to build the basic infrastructure that enables higher standards of living so that people have access to water, electricity, roads, bridges, hospitals, schools and so much more.
The Data Strategy Data Scientist II uses quantitative methods such as data mining and advanced statistical techniques to solve business challenges for internal and external Caterpillar Financial customers. The Data Scientist II contributes to this mission by leveraging his or her quantitative analysis, data management, modeling, and data visualization skills as an individual contributor to project teams tasked with solving business problems.
  Caterpillar Financial uses quantitative techniques to solve problems. Typical problems include enhancing customer solutions by delivering key insights to our business partners to determine the principal drivers to best align Caterpillar Financial products and services with our customers.     The principal responsibility of the Data Scientist II is to be an independent contributor to a team of Data Scientists within the Business Excellence Division. This position has a depth of knowledge in quantitative analytic methods, data management, and associated digital technologies suitable to handle complex issues. Data Scientists are expected to be familiar with the company’s processes, products, and organization, as well as its internal customers.     Work is typically directed by a direct supervisor, project, or team lead through a review of work requested by the business. Challenges include meeting expectations in delivering results, refining solutions from complex situations, making timely decisions, and communicating effectively with all project stakeholders.     Enhance the stakeholder experience by fully understanding the data requirements, use Lean methodology to add value to the initial requirements, and communicate the enhanced data solution back to the stakeholder.     Mentor and develop the capabilities and organizational knowledge of more junior data scientists and associates.     Demonstrates thorough knowledge of statistical approaches, data management techniques, and related digital technologies, and the ability to handle complex issues.     The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they will exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Financial Products Division its products and services; its internal systems, processes, and procedures.
 REQUIRED QUALIFICATIONS/EXPERIENCE:
  Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of analytics experience utilizing quantitative analysis, or a Master’s degree and 2-3 years of experience.     Incumbent will have exhibited the ability to work on increasingly more complex assignments and will have demonstrated teamwork, initiative, interpersonal skills, and the ability to communicate effectively.     2-4 years experience with Caterpillar, working with a different unit or working with different products, processes or systems is highly desirable.     Excellent presentation, communication, interpersonal, and collaboration skills.     Capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions and communicate effectively.     Must be comfortable working in MS Office, and industry standard statistics and data visualization packages such as SAS, R, Python, SQL, Business Objects, Tableau, Power BI and Alteryx. Candidates with experience on handing data in AWS and Snowflake is a plus.
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Relocation provided.
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .


Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.
The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.
This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders
What It Takes to Succeed:
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role preferred
It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms
Other Requirements:
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Senior Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.
The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products.
Design, execute, and analyze complex business and user experiments by providing thought leadership in the space
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders
What It Takes to Succeed:
MS/PhD in quantitative field and 5+ years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues.
Strong ability to troubleshoot and problem solve business challenges as well as persuade stakeholders to act.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.
It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms
Other Requirements:
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.
What You'll Get
This opportunity has the option to be fully remote in locations across the US.
Compensation range is $96,000-$220,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
For more information about US benefits at Yelp, please check outthis link.
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
CCPA Privacy Notice


Data Science Analyst

At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day.
The Data Science & Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy.
We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are.
We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.
Where You Come In:
Lead broad analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities.
Manage tight deadlines and quickly iterate analyses to answer unstructured business questions, deliver actionable learnings, and make strategic recommendations.
Work cross-functionally with product and engineering to define, log, and track Yelp’s key product metrics and opportunity size new initiatives.
Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.
Grow and maintain impactful relationships with stakeholders of both technical and non technical backgrounds with clear and frequent communication.
Think critically about experimental design and advocate for thoughtful experimentation.
What It Takes to Succeed:
BA/BS or graduate degree in a quantitative field (mathematics, statistics, economics etc.) or equivalent experience
Ideally 3 or more years of quantitative industry experience, ideally within the consumer product space
Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab).
An eye for compelling data visualization and extensive experience with related tools (Tableau, Mode, Looker).
Solid understanding of statistical inference, experimental design and analytic bias. Familiarity with financial modeling and advanced statistics (regression, non parametrics, predictive modeling) a plus.
Local businesses are turning to Yelp because we’re uniquely positioned to help them reach their customers during these challenging times. Our Engineering & Product teams have responded by quickly identifying their needs and building innovative products and features to support them. Our commitment to connecting people with great local businesses has never been stronger.
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Senior Data Scientist Assessment

Description
As Udemy looks toward the future of online education, skill assessments lie at the heart of promoting learner progression and growth. Udemy’s skill assessment group is looking for a data scientist with a strong background in psychometrics, statistical modeling, machine learning, and hands-on experience with empirical research methods in the social sciences.
As a data scientist at Udemy, you will be partnering with product managers, designers, and engineers to build algorithmic and model-driven solutions to power skill assessments. This role will require a combination of applied measurement experience, data-driven decision making, and the data science and coding chops to dive headfirst into development on production systems. A successful candidate will have knowledge of best industry practices for growing and maintaining a large set of assessment products, while being courageously experimental in finding new solutions to ongoing issues in test development and maintenance.
Here Are Some Questions You Could Be Working On:
What is the appropriate methodology for equating/linking assessments on our platform?
How do we best maintain and utilize operational item banks?
What other user activities can be used as indicators of learning?
How do assessment results relate to other user outcomes?
How do users engage with other learning products after completing assessments?
How can content recommendations be improved using assessment outcomes?
Here Is What You Will Be Doing:
Collaborate with other data scientists, PMs, designers, and engineers to maintain and grow our skill assessment platform
Effectively communicate and present to both technical and non-technical audiences
Critically evaluate and implement the state-of-the-art research literature in educational assessment
Develop production-grade data pipelines and continuously improve the quality and accessibility of data
Develop psychometric models for skill assessment through all phases, including prototyping, productionization, and experimental evaluation
Define metrics and build dashboards to track the adoption and health of skill assessments
Collaborate with content developers and instructional designers to develop and refine item writing and review processes
We Are Excited About You Because You Have:
3+ years of hands-on industry experience in a psychometric or data science-oriented role
Domain experience in educational assessment and psychometrics (e.g., Classical Test Theory (CTT), Item Response Theory (IRT), Computerized Adaptive Testing (CAT), equating and scaling)
Strong SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
End-to-end experience organizing and analyzing large data sets for operational purposes
Ability to communicate effectively with non-technical stakeholders
Strong knowledge of applied statistics and experimental design
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience using big data technologies (e.g., Hadoop, Spark)
Minimum Salary Expectations:  125,000
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year


Senior Data Scientist Insights Udemy Business

About the Role
In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!
At Udemy, data scientists generally belong to one of three career tracks:
Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.
Inference: Focused on causal or statistical inference for interpretation of data.
Algorithms: Focused on machine learning and building production data products.
Specifically, Udemy Business is a SaaS offering that provides employees of companies with access to a specially curated collection of business-relevant and technical courses delivered through the Udemy platform. In this role, you will collaborate with product managers, marketers, designers, and engineers to guide product decision-making through a combination of metrics and reporting, data analysis, data visualization, and experimentation design. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Relevant questions
What are the right metrics for measuring the employee learning experience for Udemy’s enterprise product?
What dashboards and tools can Udemy build to provide actionable insights for enterprise clients?
How should we measure the impact of new feature launches for the enterprise product?
How can the Udemy Business product drive outcomes for business clients?
Responsibilities
Influence prioritization and key business decisions through data-driven insights
Serve as a subject matter expert and help drive the data science roadmap in your business or product domain
Define metrics and build operational dashboards to track business and product health
Design and analyze randomized controlled experiments
Develop robust data pipelines and continuously improve the quality and accessibility of data
Build Udemy’s technical brand through talks, blog posts, and publications
Provide mentorship for junior team members
Take responsibility for leading major team initiatives
Qualifications
7+ years of relevant hands-on experience in product or business analytics roles
Demonstrated track record leading major team projects in prior roles
Ability to communicate effectively with both technical and non-technical stakeholders
Strong business intuition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics and experimental design
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.
Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Locations
Boston, MA (preferred)
Remote (East Coast), US
Dublin, Ireland
We understand that not everyone will match the above qualifications 100%. If your background isn’t perfectly aligned but you feel you would be a great addition to the team, we’d love to hear from you.
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year
#LI-ST1
#LI-hybrid


Senior Data Scientist Deep Learning

Udemy is looking for a data scientist to join our new team focused on exploring novel applications of deep learning and foundational models (e.g., GPT-3, OPT-175B, BLOOM) to improve the learning experience. In this role, you will build products that leverage deep learning. You will work as part of a cross-functional agile team that includes software engineers, machine learning engineers, data scientists, designers, and product managers. Success in this role requires a combination of product intuition, data analysis skills, deep learning knowledge, and the coding chops to dive head first into development on production systems.
We are passionate about learning, making an impact, and building with quality. We love taking on new technical challenges. We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning!
Responsibilities
Collaborate with PMs, designers, and engineers to scope and build data products.
Perform statistical analysis, feature engineering, and model development for ML-based data products.
Develop production-grade data pipelines to power ML-based data products.
Develop key metrics and monitor performance of the products.
Design and analyze experiments.
Proactively influence product prioritization through data-driven insights.
Provide technical mentorship for other team members.
Build Udemy’s technical brand through talks, blog posts, and publications.
Qualifications
2+ years of experience building complex data products
3+ years of hands-on industry experience in a data science-oriented role
Ability to communicate effectively with non-technical stakeholders
Strong knowledge of statistics, machine learning, and natural language processing
Proficiency with SQL and 1+ programming languages (e.g., Python or Scala)
Preferred, but not required
Familiarity with standard software engineering practices and distributed computing
Experience using big data technologies (e.g., Hadoop, Spark)
We understand that not everyone will match each and every one of the above qualifications. If your background isn’t perfectly aligned but you feel you would be a great addition to the team, we’d love to hear from you.
Minimum Salary Expectations:  125,000
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year