Senior Data Scientist Modeler Cyber Risk Analytics Us Remote Option

Ready for a new challenge? Join Guidewire as a Senior Data Modeler!
Guidewire’s Cyence Risk Analytics products help the property & casualty (P&C) industry to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence Risk Analytics provides insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products.

Who We Are, What We Believe, & What We Build
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done.

Who You Are: Your responsibilities as a modeler will include:

Developing and implementing methodologies to quantify the impact of cyber security risk, as well as other emerging risks affecting the P&C industry
Exploring different data sources to come up with features and assumptions to enhance our set of risk models
Calibrating, testing and validating different types of models in the insurance space
Integrating modeling processes in our production pipeline to feed our platform
Communicating technical details related to the models and their outputs to individuals from various backgrounds
Working together with cyber analysts, data engineers, modelers, and product managers

What we are looking for:

Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics)
6+ years of solid statistics and predictive modeling foundations
Experience in data analysis, feature engineering, data visualization and hypotheses testing
Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
Experience in implementing parametric and non-parametric models in a production-level environment
High level proficiency in Python or R, and SQL
Good written and verbal communication skills
Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
A positive attitude, and a growth mindset

Bonus:

Insurance, actuarial modeling or financial modeling experience
General understanding of computer network and cybersecurity
Experience with Cloud infrastructure (e.g. AWS), and open source data processing frameworks (e.g. Hadoop, Spark, Mongo and Cassandra)

#LI-Remote

About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in  the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.


Implementation Data Scientist Uk

The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to:

Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
Oversee the specification and development of new or expanded solutions
Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each
Work closely with Solutions Managers to integrate feedback from internal and external customers.
Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)

This position can be worked remotely, but you should be comfortable working on London time.
About You

3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
1-2 years technical experience in analytics, data science, software engineering or a similar technology related field
Exposure to trade compliance, supply chain management or a field similarly related to international commerce
Experience with machine learning
Record of ownership and delivery of projects with major organizational impact

Strong written and verbal communication skills

Nice to have, but not required

Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure
Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, Spark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB


Senior Data Scientist Causal Inference

You will:
Partner with Data Scientists and Growth PMs to understand our key business questions and map our causal inference needs.
Develop, deploy and socialize frameworks for causal inference in AB testing, Quasi Experiments, and no experiments environments.
Champion experiment design (including A?B, Geo, Social Graph) and partner with Data Platform on how we should revamp our experimentation platform.
Deliver complex analyses that require causal inference methods to be addressed rigorously.
Conduct literature reviews, socialize and deploy best statistical practices for Causal Inference across Discord, Experimentation, and Data science.
Train and empower our Data Science personnel to use more rigorous causal inference methods.
You have (not hard qualifications - if you're not sure, please apply!):
PhD in a quantitative field and 4+ years of experience in experimentation / causal inference or related field.
Track record in using causal inference methods that translated into business decisions and outcomes.
Experience in autonomously leading cross functional projects and influencing cross functional partners.
Proficient with Python / R, SQL, and other statistical programming languages.
Bonus Points
Passion for Discord or online communities.
Experience with experimentation for social media or international subscription-based online services.
Experience with driving changes in experimentation platforms.
Causal inference related publications.
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Senior Data Scientist Analytics Product Marketing

What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience collaborating with marketing or sales
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Scientist Analytics Product Marketing

What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
2+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
2+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
2+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience collaborating with marketing or sales
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Science Manager

You Will:
Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company
Create novel and interpretable metrics to provide insight into the health of the Discord app and use analytics, modeling, and experimentation to understand their impact on business goals
Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to improve the effectiveness of our marketing efforts
Own the vision and roadmap for a Data Science team, supporting a key pillar of Discord's mission
Build and mentor a world-class analytics team, expanding the impact of data at Discord
In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Have (not hard qualifications - if you're not sure, please apply!):
3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation
Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways
6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems
Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis
Familiarity with A/B testing principles
A collaborative attitude and natural curiosity
Bonus Points:
Experience with social media or within digital consumer products
Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance
Experience with very large data sets and distributed computing
Familiarity with Airflow, GCP, BigQuery
Experience partnering with business teams in a data-driven culture
Passion for Discord or online communities
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Science Manager Premium Products

You Will:
Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company
Create novel and interpretable metrics to provide insight into the health of the portfolio of premium features and subscription business, using analytics, modeling, and experimentation to understand the impact of new features and interventions on the user experience.
Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to grow adoption and retention of premium features
Own the roadmap for the Nitro and Boosting Data Science team, supporting a key pillar of Discord's mission
Mentor and grow a world-class Data Science team, expanding hte impact of data at Discord
Partner with Revenue leadership on strategic planning and continuously improve the Data Science organization while upholding our workplace philosophy
You Have (not hard qualifications - if you're not sure, please apply!):
3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation.
Experience hiring and mentoring staff with varying tenures and technical proficiencies
Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways
Experience collaborating across dynamic cross-functional organizations, managing competing stakeholder expectations and driving alignment
6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems
Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis
Familiarity with A/B testing principles
A collaborative attitude and natural curiosity
Bonus Points:
Experience with social media and/or safety aspects within digital consumer products
Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance
Experience with very large data sets and distributed computing
Familiarity with BigQuery
Experience partnering with business teams in a data-driven culture
Passion for Discord or online communities
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Senior Data Scientist Machine Learning Growth

You will:
Deliver Machine learning products that are highly adopted and drive strategic impact for our Growth partners. Examples: LTV modeling, User segmentation and Lifecycle modeling
Ideate, communicate, and partner directly with product and engineering teams to improve decision-making at scale
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, their journey, and our product
Learn, socialize and deploy best Machine Learning practices across Discord, Experimentation and Data Science
You have:
Deep technical expertise in Machine Learning fundamentals, Applied Machine Learning, and Statistical Modeling
4+ years of experience applying Machine Learning and statistical knowledge to solve ambiguous business problems
3+ years of experience writing excellent Python or R
Proficiency in SQL
Other requirements (you don't need all of these to apply!):
Experience with technical leadership, being the point person for one or more stakeholder groups
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience in the design and analysis of A/B tests in a fast-paced environment at scale
Passion for Discord or online communities
Experience with social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV modeling, user segmentation, etc
Experience using a BI visualization tool like Tableau or Looker to surface model results, monitor performance, etc
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Science Manager Growth

You Will:
Manage and mentor a mission-driven, world-class team of Analytics Data Scientists, expanding the impact of Data teams at Discord
Own the vision and roadmap of a data-driven decision-making for a key Growth pillar
Partner closely with product and engineering to proactively identify opportunities for improvement, and shape our Growth strategy and roadmap
Develop novel and interpretable metrics to provide insight into Discord's growth by using analytics and experimentation
Develop and guide Data Scientists to use robust analytical frameworks for strategic analyses
Build robust scalable tools to empower decision-making at all levels of the company
Drive fierce prioritization to make sure we're working on high impact analyses that best use our time and unique strengths
In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord
You Have (not hard qualifications - if you're not sure, please apply!):
3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI, analytics, and A/B experimentation
Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways
Proficient in Python/R or SQL (any dialect) for hands-on analysis
Bonus Points:
Experience with social media or within digital consumer products
Experience with very large data sets and distributed computing
Familiarity with how to use Machine Learning models to inform decision making at scale
Familiarity with BigQuery
Experience partnering with business teams in a data-driven culture
Passion for Discord or online communities
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Scientist

About Transfix:

Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology.

Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry.

By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.

The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.

About the Role:

We are seeking a Data Scientist to join and play a critical role in our growing and evolving Data function. In this position, you will implement machine learning models into critical business processes, forecast industry trends, and build data pipelines. You’ll utilize your expertise querying databases, programming, and experience with machine learning and advanced statistical techniques to solve high-priority problems and generate strategic insight for stakeholders. The Data Science team has an ambitious roadmap and we’re looking for someone to elevate the team by upgrading current models and building new ones.

If you have experience building models that have been deployed to solve business problems, love manipulating data, and are looking to grow as a data scientist in a fast paced environment, then this role could be for you!

What You’ll Do In this Role:

Build and upgrade models related to improving our ability to price effectively in the freight auction marketplace
Utilize industry data and key indicators to build forecasting models that predict freight market price changes
Collaborate with and provide analytic and machine learning support for key teams across the organization (such as Sales and Operations)
Query databases and utilize programming languages (such as Python or R) to constantly improve our modeling capabilities and continuously look for ways to add value to the business
Partner with the larger data team on data-driven analysis, key insights, and reports on KPIs

How You Know this Role is For You:

You have a Bachelors and/or Masters degree in Statistics, Mathematics, Computer Science or another quantitative field
You have 3+ years of experience manipulating data sets and building statistical models
You have working experience building models that have been deployed to production and have added tangible value to a business
You have extensive programming experience in a language such as Python or R
You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker
You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning
You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting
You're looking to grow your career in Data Science!
You’re intellectually curious, have a bias for action, show humility and pragmatism, are detail oriented and an outstanding communicator

Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to):

-Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and        protect to prevent inequalities
-Building relationships among our employees, customers, and supporters that are reflective of our community
-Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership
-Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity
-Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice

Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages.

To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.


Economist

About Transfix:

Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology.

Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry.

By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.

The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.

As we continue to solve some of the world's biggest problems through data, analytics, automation, and technology, we are seeking an Economist to join and play a critical role in our growing and quickly evolving Data function. In this position, you will lead our efforts to quantify key business drivers, developing data models to successfully improve our market penetration and impact. You’ll develop and deploy data models that assess our current win rates and margins and create innovative solutions to improve our opportunities in the contract and spot freight markets. This role will provide a tremendous opportunity to have a widespread impact on our organization and provide increased analytical and technical thought-leadership to Transfix.

If you’re an expert in economically-driven data analysis and synthesization who loves taking complex business problems and translating them into insights and then actionable solutions, keep on reading!

What You’ll Do In this Role:

Develop and deploy models that quantify key business drivers related to our brokerage business
Quantify our win rate and margins related to our contract freight opportunities
Thoroughly assess the business risk as it relates to our contract and spot freight opportunities
Understand the freight business inside and out and utilize mathematical equations to quantifiably improve our market positioning
Provide outstanding analytical thought leadership and provide innovative solutions to complex business problems
Improve our multisided platform by increasing the effectiveness of our demand matching models that allow us to match shippers and carriers
Utilize your expert understanding of auction theory and understand how to leverage game theory to solve our conundrums

How You Know this Role is For You:

You have 5+ years experience as an Economist, Data Scientist, and/or have a PhD in a quantitative field
You have a Masters degree or PhD in a quantitative field such as Statistics, or Economics
You love analyzing data and everything about it - from identifying a business problem to prepping the data to building models to showcasing and explaining your findings
You have extensive programming experience related to data structures and coding constructs
You love translating business problems into equations and have a history of scoping, planning and establishing success metrics for analytical projects
You have practical work experience with Risk or Econometric Modeling, application of Auction Theory or Market Demand estimation
You have deep knowledge of and experience in writing SQL, R, Python, script writing and/or other similar tools
You have utilized a Python Library such as Pandas, Numpy, or Scipy
You are a data visualization expert that loves showing data via histograms, box plots and other unique and insightful views on the data
You are curious, honest, intelligent and a deep critical thinker

Our headquarters is based in New York City, and we are prioritizing candidates who are based in Eastern, Central, and Atlantic time zones.

Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to):

-Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and        protect to prevent inequalities
-Building relationships among our employees, customers, and supporters that are reflective of our community
-Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership
-Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity
-Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice

Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages.

To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.


Senior Data Scientist Finance Data

Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
We expect you to have a deep understanding of audit & compliance processes in finance data, and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Collect data from various systems and convert it into the source of truth for Financial and Compliance domains
Dig into complex data sets and make sense out of them
Translate functional and technical requirements into architecture and design
Participate in code and design reviews to maintain our high development standards
Measure business performance, develop core metrics and create dashboards to track and understand them
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions
Work across multiple subject matter specialists to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team
Lead analytics projects to completion
Work with the broader Data team to find ways to scale our insights through better systems and automation
What we look for in you (ie. job requirements):
Proficiency with databases and SQL expertise
Experience with large-scale data warehousing architecture and data modeling
Expertise with data processing (ETL) technologies is required
Experience in one programming language such as Java, Scala, or Python
Strong analytical skills
Aptitude to independently learn new technologies
If need be, act as a Leader to drive big efforts with other data scientists
Nice to haves:
Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
Experience building high-quality end-to-end data solutions in an agile environment from requirements to production
Be able to proactively handle prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Experience in mentoring junior team members technically
Previous experience working with financial services data is a plus
Knowledge of Finance Business processes and concepts
Experience with Looker, Tableau or other business intelligence platforms
(P29076)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Product Manager Data Science

Betterworks’ mission is to build solutions that motivate and delight employees. We are working with some of the world’s leading brands like Walmart and Intuit to disrupt talent management space with next generation talent and performance management solutions. BetterWorks is looking for an experienced Data Science Product Manager who can take our data and help build and productize models to contribute to our mission of helping people win at work. A PM at BetterWorks has “full stack” product responsibilities, working alongside our design, engineering, customer success and sales teams to build an incredible product.  We are looking for someone who can straddle the technical aspects of unlocking insights from data and solving problems with the user’s perspective in mind. This data is key to helping leaders in companies understand more about their people from an engagement, goals, feedback and performance perspective.
What you’ll be responsible for:

Research data science industry trends
Identify opportunities where advanced analytics, artificial intelligence, and machine learning can create incremental value for Betterworks customers
Understands how to setup MVP and differentiate what adds value as solution matures
Develop a compelling Data Science vision across our product suite, and own a Data Science roadmap that is both ambitious and achievable.
Prioritize work for the Data Science and Data Platform engineering teams based on industry trends, business mission and customer needs
Manage and articulate a product backlog of ideas for the Data Platform and Data Science teams
Understand pros and cons of using AI and how to deliver value through AI-based solutions
Uses data-driven storytelling to communicate business value

What we look for in a candidate:

Knowledge in Data Science

Complete understanding of data science principles.
Understanding of machine learning, deep learning, and artificial intelligence.
Understanding of quantitative concepts like statistical models and more.
Knowledge of big data concepts.

Engagement

High level of self-engagement, project ownership and accountability, and drive to deliver outstanding outcomes as a team.
Leadership and management skills are essential for collaborating with the Data Science engineering pod and managing multiple projects/products.

Skills

Good command of various statistical and analytical tools and software like Looker, Tableau, Excel and more.

Bonus points: Skills in various programming and database languages like Python and SQL.

Excellent research and analytical skills.
Great interpersonal and communication skills, including communication with customers and industry experts.
Problem-solving skills are crucial.

Experience

Bachelor’s or Master’s degree in either data science, data analytics, product management, or any related field.At least five years of experience in product management and data science.

Bonus points: Experience in Enterprise SaaS growth-stage company a plus

Perks at Betterworks:

Work closely with a cross functional team of highly motivated and intelligent folks with a unique range of startup and enterprise experience
Balanced Work / Life with unlimited Paid Time Off
Vibrant company culture with frequent team building events
Competitive salary with stock options

About Us
betterworks develops HR software to inspire and motivate modern workforces. Using the power of conversation, we help align work to goals, develop employees, and accelerate growth.  betterworks’ easy-to-use, integrated solutions the way people work, driving more 1-on-1 communication, more feedback, and recognition – uniting workforces around a shared purpose, so they’re driven to achieve great things together. The company is headquartered in Redwood City, CA, with an additional office in New York City, and is backed by Kleiner Perkins Caufield & Byers and Formation 8. betterworks has helped a variety of global organizations, including Walmart, Intuit, Vertiv and Schneider Electric to motivate their workforces toward collective achievement. Learn more about betterworks at betterworks.com


Staff Data Scientist

Why you?
You are someone who brings your life experience to create products that truly make a difference in the lives of working parents. You use data to inform roadmaps, but you also know when you have enough information for action. You love the challenge of prioritizing user needs amongst multiple business objectives. You enjoy growing from diverse perspectives and coworkers while collaborating with others in a cross-functional team, and across departments.
You are looking for something more from your job. Maybe a bigger problem to solve with both immediate and long term impact, or perhaps you just need a mission you can believe in every day. You are scrappy and collaborative while looking to join an inclusive and supportive culture with a bias for action. You dig a balanced startup life and can wrestle challenges with grace. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic, and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago & Cincinnati. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $200M in earning potential by connecting our 500,000+ moms and mom-supporters with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other. Our commitment to Diversity, Equity, & Inclusion across race, gender, age, religion, identity, and experience drives us and our mission forward every day. We strive towards inclusion and that means everyone is comfortable bringing their authentic and best self to work every day.
About the Role:
We’re looking for a Staff Data Scientist to join our team of 3! The data science team was fully established earlier in summer 2021 so we are still doing a lot of foundational work. Currently, our two main projects are matching job seekers with jobs and predicting if a job applicant will be interviewed. We’re looking for our newest team member to establish our initial Natural Language Processing (NLP) models, starting with the use case of extracting information from job descriptions. We’re looking for someone who will start simple and then build up to more complex models.
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
What you’ll do:
Own data science projects from conception to production
Work with product managers and engineers to scope out requirements for a project
Contribute to team’s knowledge and help us come up with the best processes for our team
Mentor other data scientists
Advocate for best data practices including thinking about what data we should be collecting
Develop tools to monitor our models and ensure their performance doesn’t degrade
Work with director to guide decisions about the infrastructure our team should use
Collaborate with the director to find other opportunities for DS projects
Evangelize data science throughout the company
Recruit additional data scientists to our team

About you:
You have been the technical leader of a data science team before
You can quickly pick up new techniques in supervised and unsupervised learning
You apply industry best practices for data science projects
You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects
You’re excited about joining a relatively new team and helping us develop best team practices
You like working in a startup environment; part of your job will include helping to set up the infrastructure needed for data science
You like working collaboratively with other folks including data scientists, engineers, and product managers
You like sharing knowledge via mentoring, code reviews, and other avenues
You care about ensuring that the algorithms you build are not biased against specific groups of people
You enjoy working with a team of goofy people who do things like name all of their projects after candy
[Optional] you ideally have experience with NLP models or other deep learning methods

Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation
Full medical, dental, vision
Short and Long Term Disability
Generous Paid Parental Leave
Family planning benefits through Progyny
Generous PTO
401K match

Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work
Health and Wellness stipend
Learning and Development stipend
Work From Home Stipend

PAY RANGE
We have different pay bands for different geographies in the US:
CHI/AUSTIN/ATL/PORT: $190,000 - $210,000
SEA/BOS/LA/DC: $210,000 - $230,000
SF/NY: $220,000 - $240,000
We're just getting started. Join us in building the future of work.


Data Scientist Sr

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. As a(n) Data Scientist Sr (Python) within PNC's Intelligent Automation organization, you will be based anywhere PNC has a footprint.
We are seeking a Data Scientist in the Decision Automation Team under Intelligent Automation. This team works with different lines of business in the bank to catalyze strategic machine learning opportunities. As an internal consulting function, projects change year to year.
In this role, you will develop machine learning models to support PNC’s data science strategy. The role requires combination of problem-solving, quantitative analysis, and technical acumen. You will also need strong communication skills in order to share complex analytical results with non-technical audiences. A key aspect of the role is to partner closely with business leads to understand current processes and how modeling confers benefits. In delivering machine learning models, you will be at the cutting edge of bank technology. All the while, you'll benefit from access to senior professionals within the field in a friendly, open, and engaging environment.
•	Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.•	Participates in the data gathering, data processing and data mining of large and complex datasets.•	Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.•	Assists in the presentation of business insights to management.•	Partner with Business Leads, Data Architects, Data Engineers and Machine Learning Engineers to develop data-driven solutions for the business.
Competencies / Skills•	Programming Skills: Python or R, PySpark•	Data Mining: Knowledge of tools (SQL, Pandas) and techniques to manipulate and wrangle data for modeling.•	Machine Learning: Knowledge of principles, techniques, and algorithms such as linear/logistic regression, classification, clustering, and natural language processing. •	Prototyping: Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.•	Disruptive Innovation: Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.•	Communication and Storytelling: Ability to communicate and contextualize insights to non-technical audience in a easy to understand and compelling manner.
Job Description
Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Masters
Additional Job Description
1. COMPENSATIONBase Salary: $65,000 to $187,450Where a person is paid in the compensation range is aligned to their experience and skills. Placement within the compensation range is based on the specific role and the following factors: – Lower in range –Building skills and experience in the job– Within the range–Experience and skills align with proficiency in the role– Higher in range –Experience and skills add value above typical requirements of the role– Compensation Range may vary based on Geographic Location  2. INCENTIVE Role is incentive eligible with the payment based upon company, business and individual performance.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


Quantitative Data Scientist

About EveryDay Labs
EveryDay Labs is a high-growth, VC-backed EdTech startup improving student outcomes at scale. By uniting behavioral science, data science, and family engagement, EveryDay Labs reduces the student attendance gap by providing school districts with data-driven, personalized interventions proven to reduce chronic absenteeism by 10-15% and mobilize families in support of the district’s strategic priorities. In over 1,500 schools across the US, we have already prevented over 1,000,000 absences, increasing instructional time for students by over 300 million minutes.
Every day we strive to live our values: Student-Centered at Scale, Stronger Together, Behavioral Science at the Core, Innovation Grounded by Evidence and Research, and Fearless about Learning.
About the RoleAs our Senior Quantitative Data Analyst at EveryDay Labs, your work will immediately improve student outcomes by helping districts across the country to reduce absenteeism and increase learning time for students who need it most. EveryDay Labs brings a uniquely rigorous research, design, and evaluation process to edtech, executing more randomized controlled trials (RCTs) than most other education companies in the country.  Your role will be central to this process, with responsibility for executing our ambitious learning agenda and evaluating outcomes.
Your primary responsibilities will include: designing and executing RCTs to evaluate and improve the outcomes of our interventions, performing impact analysis and drafting program evaluations for our programs, designing, executing and analyzing survey research, working with our Data Engineers to standardize and automate parts of the impact analysis process in Python, performing ad hoc analysis to better understand attendance patterns and surface actionable insights, and supporting the data team’s work in executing our programs as needed. As an early member of our Engineering & Data Science team at EveryDay Labs, you will work across a variety of projects, products, and services.
Must have:
Demonstrated experience designing, implementing, and managing impact evaluations, randomized controlled trials (RCTS), field experiments, and/or quantitative research in real-world settingsDemonstrated experience in quantitative analysis including cleaning, managing, manipulating, visualizing, and analyzing large data setsAn understanding of experimental methods and survey designPrior work experience in monitoring and program evaluationExperience with (or education in) statistics and/or econometricsStrong written and oral communication skillsStrong attention to detail Proficiency with statistical software (R or Stata)
Nice to have:
Understanding of behavioral scienceExperience designing behavioral interventionsProficiency using Python or an openness to learning PythonExperience working with education dataGraduate degree in Public Policy, Economics, Statistics, or Quantitative Social Science
EveryDay Labs is an Equal Opportunity Employer - including disability/vet status.  We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are actively seeking to build a team and workplace that reflect the diversity of the communities we serve.  We especially encourage people underrepresented in the tech industry to apply, and welcome your application even if you do not meet every one of the above requirements.We are a remote-only team, candidates must be fully, legally eligible to work in the United States (visa sponsorship is not available). All candidates must reside in the United States.


Director Data Science Territory Modeling

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
The Product Design and Modeling organization within Global Retail Markets is hiring a front-line manager for its Complex Components group to lead the Territory Modeling team.  The Complex Components group develops sophisticated models that are used as input, or as complement, to our core pricing programs. This manager will report directly to the head of Complex Components and be tasked with managing a team of Data Scientists towards our broader goal of creating and implementing the greatest territory factors the world has ever seen.  The ideal candidate would be someone who is resilient (undeterred in the face of failure), passionately driven to make things better, holds themselves to a high standard and wants to be surrounded by others who do the same.
Manage a team of Data Scientists building territory models across Auto, Property, Business Lines, for the US and East/West markets.
Research new geographic predictors and predictive algorithms to enhance pricing sophistication.
Work with DSOs, Product Delivery, and East/West local teams to implement industry leading territorial pricing.
Work with regulators to get territory pricing models approved in all our markets.
Establish project plans, ensure quality deliverables within agreed upon timeframes, communicate results, and make recommendations to address issues.
Collaborate with analytical peers and counterparts to stay on top of business trends and analytical best practice.
Job Specifications:
Reference:  2021-43094
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$144,700.00-–-$204,900.00-/-Year
Education Level:
 Travel: As Needed


Director Data Science

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
The Global Risk Solutions Advanced Analytics Hub is seeking an experienced data scientist to develop and deploy innovative and cutting-edge models that solve business problems in a variety of new business areas.  In this role, you will be the first hire on a new team responsible for expanding the AA Hub’s capabilities and reach in new areas like Distribution and Portfolio Management.  You will manage data science engagements from beginning to end — ideation with business partners to final system implementation.  Projects will vary in nature, complexity, location, and duration creating a dynamic environment with ample opportunities to learn, influence decisions, and solve complex business challenges. You will also be expected to help develop the teams’ modeling practices and toolsets for model development and deployment. Knowledge of insurance and Actuarial principles is a plus.
Responsibilities
Engage with business partners to understand problems/aspirations and develop innovative data science solutions that address business needs.
Lead preparation of modeling data and other analysis. Conduct research and identify experts to develop robust understanding of the issue, available information, and best modeling approach.
Provide technical expertise to set project direction, resolve issues encountered in modeling, and develop team members. Perform complex modeling.
Present findings and make actionable business recommendations that influence decisions and/or customer satisfaction.
Effectively communicate results in written, oral and presentation formats. Build effective relationships with business partners.
Continually improve your technical skillset through research, collaboration, and other modes of learning. Participate in the broader DS/ML community to stay current with the latest techniques. Engage with staff within and beyond the predicative analytics team, training and advocating for the use of DS/ML techniques in other business areas.  Actively participate in peer review and quality checking processes.
Help attract and develop top talent. Help create an inclusive, engaging, and collaborative team environment.
Job Specifications:
Reference:  2021-40376
Category: Data Science
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$128,200.00-–-$179.50-/-Year
Education Level:
 Travel: As Needed


Experience Data Scientist Bring Your Voice

DESCRIPTION
Job summaryIf you love solving problems, truly enjoy collaboration and long to be a part of a team that lives and breathes employee experience… then read on. We’re delighted to be on the hunt for another excellent human to join our team as an Experience Data Scientist.The Experience Data Scientist is a member of our design team, contributing to every part of our process: research scoping, design, communication, framework development, stakeholder relationship development, and project management.We count on the data scientist to guide the team in how data should (or shouldn’t!) play a role in what we’re researching, provoke discussions about the experiments we can run, help design compelling data visualizations, and bring their expertise in telling a story through data and other algorithms.Key job responsibilities· Center your work on people. We go to work because we want to improve employees’ lives through research and design. You’ll talk with and work alongside the people our research affect, to develop a deep understanding of their needs and their context and develop solutions.· Experiment and iterate. Our work often requires quick iteration and experimentation. You’ll perform data analysis, create visualizations/simulations, and implement statistical/machine learning/optimization algorithms — learning new techniques and tools as necessary.· Navigate a variety of data sources. Such as interview data, qualitative data, badge data, workplace surveys, focus groups, and/or external data sources.· Collaborate with colleagues. We’re a passionate and creative community from a variety of backgrounds: communications, recruiting, HR, economics, psychology, legal, and more. You’ll learn from people from a uniquely broad variety of backgrounds and translate concepts between them.· Excellence in qualitative reasoning. You understand what data can and can’t tell us, can communicate that to others, and conceptually understand when to apply particular quantitative techniques.· Coding generalists. You are fluent at writing code to wrangle, analyze, and visualize data, as well as implementing algorithms in code (but don’t necessarily need to know about production software engineering).About the teamThe Employee Relations team is responsible for reducing risk to the business by deploying programs to empower the next generation of high-performing, employee-centric frontline leaders. Our programs are global in scale and we continually innovate to transform and improve the employee experience.
BASIC QUALIFICATIONS
· Bachelors degree· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)· 2 years working as a Data Scientist· Exceptional written and verbal communication skills.
PREFERRED QUALIFICATIONS
· Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least three years of working experience as a Data or Research Scientist.· Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.· Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.· Experience using Amazon technologies – Redshift, Sagemaker, Athena, S3, EC2, QuickSight, etc.· Skilled with Python, Java, C++, or other programming language, as well as SQL or similar scripting language.· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.The base pay range for this position in Colorado is $ 119,300 - 160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Senior Data Scientist

DESCRIPTION
Are you interested in taking the world’s most broadly adopted and comprehensive cloud platform and architecting and building solutions that will deliver consumer and retail like customer excellence to the recruiting and hiring process at AWS?About the teamThe AWS Talent Acquisition Product Development team is responsible for innovating, architecting, and building, global and scalable technology solutions that transform the recruiting and hiring experience. These solutions will be utilized by thousands of people inside and outside the organization. This team and the solutions we build are a critical component in AWS’s continued growth.A day in the lifeInnovation is at the center of this team. As a Senior Data Scientist you will work collaboratively with a global customer base, program managers, product managers, designers, and engineers to create, refine, and explore ways in which we can transform the recruiting and hiring process at AWS with chat and voice based solutions delivered to users in the flow of work. In this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Designers, Data Engineers, and Software Engineers to build new ML models to optimize customer experience for the consumption of data and market intelligence. You communicate ideas effectively, drive ideas to detailed product deliverables, and help establish success metrics to optimize results.
BASIC QUALIFICATIONS
· Bachelor's Degree in data science or related disciplines including but not limited to computer engineering/science, management information systems, informatics and analytics.· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)· Minimum 4 years working as a Data ScientistExperience with complex data sets and structured and unstructured human perception data, such as data collected on Likert scale via survey platform
PREFERRED QUALIFICATIONS
· Experience in machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)· Strong background in statistical methodology, applications to business problems, and/or big data.· Comfortable communicating with technical and non-technical audiences.· Able to work in a diverse team of scientists, product managers and program managersAbility to work on a diverse team or with a diverse range of coworkers


Data Scientist

DESCRIPTION
AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases.You will design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.Primary responsibilities for you in this role:· Research, design, implement and evaluate novel computer vision algorithms.· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutions· This position can have periods of up to 10% travel.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.We are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we are building an environment that celebrates knowledge sharing and mentorship.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we are happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.**If you have questions, wish to apply or refer someone contact Josh May directly - joshmy@amazon.com**#US_WWPS_ProServ #US_WWPS_ProServ_DML
BASIC QUALIFICATIONS
· Master or PhD in computer vision/machine learning or related experience.· 3+ years of relevant experience in building production-scale system/algorithm in one of the following domains: computer vision, deep learning, or machine learning.· Coding skills in one or more programming languages such as Python, Scala, Java, C, C+· 2-3 years of modeling experience working with deep learning frameworks like Pytorch or MxNet.· Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)· Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc.
PREFERRED QUALIFICATIONS
· Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning.· Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver new solutions.· Experience extending object detection models to multi-object, multi-label tracking· Experience working with geospatial datasets (e.g. satellite imagery)· Experience working with motion imagery datasets (e.g. Full Motion Video/ FMV, Wide Area Motion Imagery/ WAMI)· Proven track record of innovation in creating novel algorithms and advancing the state of the art· Distributed training experience (DDP, Horovod)· Model compilation experience (TensorRT, TVM)· Familiarity deploying solutions to AWS or cloud services and experience with AWS services such as SageMaker is considered a plus· Familiarity deploying solutions to IoT/edge platforms (e.g. NVIDIA Jetson Xavier)· Experience in publishing at major computer science conferences or journals· Proven track record in technically leading and mentoring scientists· Strong written and verbal communication skills and ability to work effectively with a large, distributed team.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.#US_WWPS_ProServ #US_WWPS_ProServ_DML


Data Scientist Employee Relations

DESCRIPTION
Job summaryAmazon’s Employee Relations (ER) team is looking for a Data Scientist (DS) with a demonstrated passion for building innovative new analytics, models, tools and processes for our Employees and Leaders. Are you looking for an opportunity to build in a completely new space that will stretch you and force you to demonstrate your mastery of data science, data analytics, problem solving and enterprise wide deployments? This DS will lead new pioneering ideas from concept to reality and in this role—new bold ideas are always welcome. This DS will obsess over the Amazon employee experience and the employee voice across the organization. This DS will directly apply their knowledge to dig deep and help Amazon leaders gain actionable insights. Finding, prioritizing and resolving employee experience defects will be the mission every day. Thus, the challenge of this role is that it is never complete; we will always strive to push Amazon to be the Earth’s best employer.The Data Scientist will play a critical role in advancing our mission. You will join a tight-knit team of ER professionals, including HR, operational, program, product, tech and legal leaders. You will be supporting Amazon's World Wide Corporate, Consumer and Operations (WWCC & Ops) portfolio, and have direct impact on the daily work of over 1.3M+ Amazonians.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, dashboarding and predictive machine learning tools. We’re looking for an enthusiastic technical expert and storyteller to explore the world of Amazon data to generate insights—connecting employee experiences to decision makers in a compelling way backed by data. Your focus will cover all aspects of how we learn more about our employees, uncover problems that need to be solved, and validate the impact of our solutions. You will work with other thinkers, creators, and communicators to build the skills of the entire team to create a research-driven organization. You will invent, refine solutions from start to finish—data sets, queries, models, reports, dashboards, analyses—to answer business questions while ensuring we are meeting the needs of the business and team goals. You will draw on your knowledge of data science best practices, big data management fundamentals, and analysis principles to build solutions that enable effective, data-driven business decisions. You will learn the business context and technologies behind your team’s data infrastructure and work with customers (e.g., researchers, economists, data engineers, business intelligence engineers, product managers) and other internal partners to ensure deliverables are aligned with expectations.If you love getting to the “a-ha” moment, when the solution to a customer or employee problem reveals itself in the data— let’s talk!Key job responsibilities• Own the design, development, and maintenance of scalable solutions for analyses and models.• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)• Lead technical aspects of experiment design in collaboration with the greater ER team.• Find and create ways to measure the workforce experience at multiple levels in the organization.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches• Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management• Write queries and have in-depth knowledge of the data available in area of responsibility.• Troubleshoot operational data-quality issues and review/audit existing ETL jobs and queries.• Collaborate on developing effective Dashboards to surface insights to senior leadership• Communicate pros and cons of analytic frameworks to the development team• Uncover drivers, impacts, and key influences on productivity and innovation outcomes• Develop predictive and optimization models for key applications• Navigate a variety of data sources, such as open text comments, survey results and free text fields inputs• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes• Maintain an understanding of the latest trends in data science and machine learning• Recommend improvements to back-end data sources for increased accuracy and simplicity.About the teamThe Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the WWC & Ops organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are always changing and we continually innovate to transform and improve the employee experience.
BASIC QUALIFICATIONS
• 3+ years of industry experience in role(s) like: Data/Business Analyst, Data Engineer, Business Intelligence, Data Scientist, or equivalent.• 3+ years of data modeling, ETL management, and data warehousing experience.• Demonstrated proficiency with data querying with SQL• Demonstrated proficiency with data modeling techniques in R or Python• Knowledge and direct experience using and deploying business intelligence reporting tools. (Quicksights, Tableau, Microstrategy, Excel etc.)
PREFERRED QUALIFICATIONS
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.• Experience working with AWS big data technologies (Redshift, S3, EMR).• Experience with Stata, SAS, or Python.• Experience in data modeling, ETL development, and data warehousing.• Familiarity with statistical models and data mining algorithms.• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Machine Learning Scientist

Strong Analytics is seeking Machine Learning Scientists to help design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. ML Scientists are core contributors at Strong, with responsibilities such as building data analysis pipelines, designing/training/validating machine learning models and algorithms, and collaborating with colleagues and clients on state-of-the-art research. The ideal candidate is proficient in Python and/or R, SQL, and has prior experience working on ML solutions from concept to production.

At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.
Responsibilities
Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases
Develop, train, and validate machine learning algorithms
Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions
Help create generalized solutions out of specific use cases
Help identify areas of opportunity and improvement within projects
Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases
Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)
We offer a comprehensive compensation package, including:
Competitive salary
100%-covered Health insurance for employees, 75%-covered dependents
Four weeks PTO
401(k) with employer contribution matching
Personalized monthly perks with matched charitable donations
A 100% remote work environment with highly protected work/life balance