Decision Science Analyst Senior

Purpose of Job
We are seeking a talented Decision Science Analyst Senior for our San Antonio Corporate office or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)•Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.6 years of experience in a decision support analytic function; Or Advanced degree in relevant discipline with 4 years experience in a decision support analytic function.Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Experience implementing emerging technology and techniques for analytical purposesPrior digital marketing analytical experience in Insurance or Banking; knowledge of marketing analytical process and measurement frameworkAbility to work on multiple projects in a fast-paced environment with limited supervisionStrong relationship management and negotiation skills; ability to influence senior leadership and drive business resultsTesting experience – designing, leading, executing, and analyzing results
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Data Scientist I

Purpose of Job
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge in Retail Banking, Real Estate, Omni, Fraud & Central Ops is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Machine Learning Researcher

Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition

Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school

About you
An ideal candidate will have a mix of skills that include the following:

Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions

Specific Skills

Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi

What we offer

Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere

We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.


Senior Data Scientist

Build the world's fastest Identity and Checkout products

Company Mission

Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce,  we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations.

Summary
We’re looking for a Senior Data Scientist to join the best Data Science and Analytics team! As a Senior Data Scientist, you will partner closely with both technical and non-technical teams to design metrics, build models, conduct comprehensive analysis, and run experiments to measure the impact of new initiatives.

Role

Work with cross functional stakeholders to scope data science projects and drive the project from start to finish
Develop scalable, efficient automated pipelines to process massive datasets, identify patterns from various data sources and produce actionable insights
Build statistical models to improve our understanding of user behavior and predict future performance
Be a thought partner to business leaders in determining quantitative success and process improvements
Design, implement, and analyze A/B experiments to measure the impact of product changes
Create dashboards and reports with effective data visualizations

Requirements

5+ years of data science experience
5+ years in SQL and one scripting language (Python/R)
BS in quantitative field (e.g. Statistics, Economics, CS, OR), or equivalent experience
Strong knowledge of experimentation and statistical methods
Skilled at leading DS projects and taking initiative
Skilled with data visualization tools (Looker, Tableau, Jupyter Notebook)
Knowledge of building data pipelines (e.g. dbt, airflow)
Communicative with team members, thought partners, and others

Bonus

Advanced degree in a quantitative field
Experience in e-commerce
Previous mature startup experience

Benefits and Perks- Because People Matter

Comprehensive insurance (paid 99% by the company) with no deductible, and 10 dollar copays
Globally remote with flexible work schedules to fit your needs
Generous parental/family leave for all caregivers- available at any time within 12 months after the new family member joins you
401k with match up to 4%
Equity grant
People-focused PTO that you determine- time off is there when you want it, when you need it
Frequent inclusive events scheduled to allow everyone to express their voice (or dance skills)
Monthly exercise and internet stipends---and snacks


Game Data Scientist

We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are looking for a highly-skilled  Game Data Scientist to dive into diverse data and derive insights using appropriate tooling for the job. In this role, you will work with multiple parts of the business to identify improvements and influence our product direction.  Actionable insights will need to be presented in a clear and supported way.
COVID-19 Hiring Update: We’ve transitioned to a work-from-home model and are continuing to interview and hire during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.

Duties and Responsibilities:

Influence Mythical’s game and NFT marketplace products through data-centric reports and presentations to appropriate stakeholders
Build predictive machine learning models to anticipate a customer’s future behaviors based on existing events
Create additional data models on top of our existing BigQuery data warehouse as needed
Gather requirements from internal/external customers to clear frame data analysis projects and their estimated impact
Build and improve data tooling in partnership with internal data teams

Requirements:

Bachelor’s Degree in a technical field
3+ years in a quantitative analytical role in technology or consulting companies
3+ years of experience with SQL and a programming language for data analysis (e.g., Python, R)
2+ years of experience building machine learning models for predictive use cases (e.g., Tensorflow, Scikit-learn, Kubeflow),
Excellent communication skills and a drive for continuous learning

Pluses:

Industry experience with video games, marketplaces, or digital marketing

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.


Data Science Manager

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal‚Äôs ‚ÄúBest Places‚ÄĚ Best Companies for Diversity, #1 2019 and 2020
DataBird journal‚Äôs ‚Äú Best Places‚ÄĚ Best Companies for Women, #4 2019 and #1 2020

¬†
About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning, and Data Engineering.¬† We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Data Science Manager, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.¬† By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
¬†
Responsibilities:

Manage, hire, train, and develop a group of data scientists and analysts¬†
Participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions¬†
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships¬† and facilitate data-driven decision making across the organization¬†
Build statistical and predictive models, reports, and dashboards to support business and achieve goals

¬†
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
6+ years of real-world industry experience in building predictive and statistical models including regression, classification, forecasting, and clustering¬†
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods¬†
Ability to translate high-level business objectives into actions
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus

¬†
Bonus Points

Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology, and problem-solving
You're familiar with our product and have some ideas on things you'd want to add or change!

¬†
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do‚Äôs, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world‚Äôs largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it‚Äôs a handyman (or woman!), a housecleaner, moving help or delivery person, we‚Äôre imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.¬†
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we‚Äôre creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We‚Äôre looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they‚Äôre at it.
¬†
You‚Äôll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse¬†
The Values.¬†

Care Deeply. We take time to be present and partner with our team and communities.¬†
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.

The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,¬† generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office

¬†
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.¬†
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.¬†


Senior Data Scientist

"The front page of the internet,” Reddit brings over 500 million people each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
The mission lies at the core of Reddit's success as a platform: we build features that encourage engagement and belonging, enabling smooth and effective community and content creation, enabling our content creators, and applying a growth framework to activate new communities equipping moderators with the tools they need to succeed. These teams drive several key product metrics for the entire Reddit platform.
This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.
What You’ll Do:

Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
Collaborate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise.
Continuously learn and improve your technical and non-technical abilities.

Who You Might Be:

At least 3+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, C++, Javascript, Typescript
Experienced with GraphQL, REST, HTTP, Thrift basics, and the ability to design and implement maintainable APIs is a plus.
Experienced with distributed caching layers, and distributed large-scale data storage systems like Cassandra or Redis
Strong organizational and communication skills, the ability to prioritize tasks and keep projects on schedule discussing complex topics with technical and non-technical audiences.
BS degree in Computer Science, a similar technical field of study or equivalent practical experience.
You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
Leveling will depend on the right experience and duration in the space.


Senior Data Scientist Growth Analytics

About Krisp:
At Krisp, we are developing and launching applications that enhance professionalism and productivity of employees and contact center agents. Krisp mutes background noise bi-directionally during calls and is the only software available in the market to do so as an application, becoming a virtual microphone and speaker within Windows, Mac OS and VDI. We are out front leading this market, with partners and customers including Chase, Concentrix, Discord and many others. Our team is defining the future of how remote employees vastly improve their voice and video communications.
Krisp is an award winning product, loved throughout the world. In 2020, Krisp has been recognized as:
Forbes AI 50 most promising AI startupForbes Cloud 100 Rising StarTIME 100 Best InventionsGartner Cool Vendor
Location:
Europe, Remote
We are a remote-first company, so you can work from anywhere. For this role we prefer to have an overlap of at least 4 hours with GMT+4 timezone.
The Role:
As a Senior Data Scientist, you will work directly with our Data Analytics Manager as part of our growing analytics team. You will be working closely with the key stakeholders from product, growth, marketing and sales teams to unlock the next stage of Krisp's growth.
This is an exciting opportunity to further build the data science function at Krisp and cultivate a data-driven culture! You will have a direct influence in growth, product, marketing and strategy initiatives. If you are intellectually curious, a creative non-linear problem solver, passionate about building compelling dashboards, sophisticated statistical and predictive models and eager to influence decision making, we'd love to have you in the team!
What You'll Do:
Measure the impact of growth, product and marketing initiatives and identify growth and optimization opportunitiesGenerate insights about the user's journey aiming to optimize conversion rates, evaluate performance, and design and analyze experimentsPartner with cross-functional teams on data-informed hypotheses that will drive experiment design and analyze causal relationshipsDevelop a thorough understanding of traffic, funnels, conversion rates and user behavior using large events dataApply machine learning models for predictive analyticsDesign and develop metrics, create insightful automated dashboards and data visualization to enhance decision makingWork with analytics engineers and data analysts to create new data models, feature and metrics stores and explore new data sources to add to our data warehouseInitiate new and innovative approaches to make data products actionableSee beyond numbers and help to inform, influence, support, and execute business decisionsTake initiative to always ask why - question the questionable and the unquestionable to find answersProvide expertise on data science concepts for the analytics team and inspire the adoption of data science across many functions of the company.
What We’re Looking For:
A graduate of a quantitative discipline3+ years of relevant working experience in data science or analytics, preferably in a fast-paced companyStrong programming skills, preferably in Python (Data Science libraries) and SQLPractical experience of building compelling dashboards using BI tools (e.g. Tableau)Expertise in advanced analytical techniques, statistical analysis and predictive analytics using MLBusiness savvy and ability to think strategically and act judiciously to solve business problems through the use of dataHave an attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive and autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude and strong sense of empathyFluency in English
Nice to haves:
Experience with SaaS metricsExperience with PySparkExperience in analytics engineering with dbtKnowledge of version control and GitHub actionsFamiliarity with agile development framework.
Benefits at Krisp:
Stock optionsLearning and development assistanceHealth, dental and vision insurancePaid Time Off and Sick Time OffPaid Parental LeaveMaternity Leave Top-upGym reimbursementReferral bonus programWork from forest (Remote work initiatives)
Krisp is an Equal Opportunity Employer:
All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.
How to Apply:
All interested candidates are encouraged to submit their applications.
Check out the rest of open positions.


Senior Manager Data Science And Analytics

Join us as we revolutionize the hospital pharmacy landscape!

Our mission is to wow customers with smart, elegant solutions that help healthcare providers increase efficiency, safety and visibility from manufacturer to bedside.

Our 'vibe' is start-up, but we already have over 700 customers who are tracking medications using our proven solutions. If you have a knack for making complex things simple and an interest in the practical application of artificial intelligence and IoT technologies, we have a place for you!

Kit Check is looking for a leader to help us redefine and grow our suite of healthcare data capabilities to further the company's mission of "Medication Intelligence". Our hospital and pharmacy customers rely on us to keep their patients safe and their pharmacies running smoothly while delighting them with every release. By streamlining their pharmacy's daily routines with our RFID inventory management solution and reducing risk and enhancing their compliance with our controlled substance tracking platform, we're committed to improving medication management for our nation's healthcare providers, and our data operations and products are the backbone of our offerings.

The opportunity:
Kit Check is growing rapidly and we’re creating a data team that brings together our data scientists, and a small and growing data engineering function. You’ll be leading a team that provides intelligence to our product teams, data products to customers, as well as building predictive models that power some of our core products. A successful candidate is a great people leader, a self-starter, has a track record of leading data teams that implement and operate Data services at scale, and collaborates across teams. Ideally, they come from either a data engineering or data science background as an IC. This is a unique position in that data is our product, and you’ll be leading the team tasked with analyzing our data, integrating the algorithms, and creating visualizations in production systems. This work will have a direct impact on hospital pharmacies, by providing actionable insights that reduce drug spend, increase medication safety and compliance, and maximize staff productivity.

You can expect to:

Hire top-tier engineering talent. You understand the importance of building an amazing team and its value.
Assist in technical design, data QA and ensure ease of use for the end-users
Assist in developing solutions to support the automation of ongoing reporting and analytical needs
Coach and guide the data team through regular feedback.
Vision: You intuitively understand business, analytics, and technology, and you leverage that to guide a team by providing relevant context and inspiration.

About you:

Prior experience in engineering management
You have a Bachelor’s degree or equivalent experience in a quantitative or data-intensive field - Computer Science, Engineering, or a similar discipline
Former IC experience in either predictive modeling, machine learning, or data engineering
Fluent in creating visualizations and Business intelligence reports. Can advise the team on ideal communication methods for technical and non-technical audiences
Expert-level SQL (MySql, Redshift, Presto)
Proven prior experience leading inclusive and diverse teams, mentoring data scientists or engineers, and creating practices that help data teams mature
Great analytical, critical thinking, and problem-solving abilities in fast-paced environments
Passionate about, and knowledgeable in, distributed data processing patterns
Demonstrable EQ in communication and feedback that helps to build trust, resolve conflicts, and provide feedback
Ability to present results, in written and verbal mediums, to both non-technical and technical audiences
Experience with data reporting technologies (e.g Snowflake, RedShift, Data lakes)
Instill a DevOps culture within teams, deliver mature systems that are highly available, resilient, and maintainable
A product and technical vision and a track record of cross-functional collaboration to build out that vision
Consistent record in unblocking teams and projects, delivering against a data team roadmap
Ability to draw insights from data and clearly communicate them (verbal/written) to cross-functional partners and senior leadership as required

Nice to have:

Experience in healthcare working with PHI or other sensitive data
Knowledge of hospital data systems (e.g. EHR, ADS, purchasing, etc.)
Knowledge of the pharmaceutical supply chain
Experience programming in Python, R, or other data-stack programming languages

What you'll get from us:

Opportunity to build a data team culture within the organization, and to shape a data team that has already built an industry-leading product.
Opportunity to use and explore new use cases for machine learning to aid in tackling the opioid crisis, help guarantee patient safety, and improve the efficiency of hospital pharmacy staff
A strong voice in what we work on, how it works, and how we build it
Room to be creative
Trust in your sense of ownership
Dedicated budget for training and career development
Coworkers you'll learn from and who are eager to learn from you

Our culture
Kit Check’s culture is built on collaboration and innovation. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun while doing it.

Interested?
If helping us define new data-driven medication intelligence products as well as improving products that have a great track record with our customers sounds like the opportunity for you, we'd love to talk!

This position is a remote position and open to applicants in the continental United States.

Why Kit Check?
We truly believe that where you work matters and we want happy employees. So join us on our mission – we intend to have a heck of a good time as we get there.
-Competitive salary
-Time off when you need it – unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Employee stock options
-Fun, collaborative culture!

Equal Opportunity Employer Veterans/Disabled


Director Of Data

Roc360 delivers innovative products that make it easy for everyone to renovate, own, or invest in homes. We are both a leading capital provider to residential real estate investors and a pioneer in developing and applying cutting-edge data science to this field.

Roc360’s existing data science team has facilitated the acquisition and renovation of almost 15,000 homes through our digitally connected network of 7,000 renovation professionals and hundreds of local businesses. Roc360 is one of the few entities well-positioned to address both supply-side and demand-side challenges in the US housing market, with the capital to fund professional, experienced flippers, and a technology platform designed to identify investment opportunities with the greatest potential. Roc360’s core strength is in taking tools and approaches from quantitative trading and successfully applying them to finding the best borrowers in the fix-and-flip world.

Director of Data
Roc360 is looking for a Director of Data to lead our team of data scientists and engineers through our next phase of rapid growth and product expansion. As a member of the leadership team, you will collaborate in setting our company goals and objectives for transformative growth. Your primary responsibility will be the day-to-day management of our data team; you will also work closely with the engineering, marketing, and sales teams to support their work and maintain a great team culture. This full-time role reports directly to Roc360's COO and can be based in NYC or remote (with some travel to NYC).

As the Director of Data, you will:

Set data strategy for all of Roc360 in collaboration with the executive team
Lead the data team, leveling it up in terms of business impact, infrastructure, sophistication, and team growth
Deliver predictive models, analyses, and research for new and existing Roc360 products
Work with internal business and product leaders to identify opportunities for data team to drive impact
Grow the data team to meet needs of Roc360's business

We are looking for someone with:

5+ years experience working in data science or related field
2+ years data team management experience (Data Science, ML, Software Engineering)
Ability to identify and prioritize important, solvable problems and articulate them to the team
Deep curiosity and enthusiasm for the opportunity to leverage data in residential real estate
Proficiency working with statistical programming (Python, R) and database querying languages (SQL), machine learning algorithms and modeling
Experience collaborating with professionals from other disciplines, especially finance, investment, product, or marketing
Commitment to fostering a culture of inclusion, where team members are valued and respected for their individual strengths and experiences

Roc360 is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have:

Domain experience in real estate and renovation
Experience working with location data, computer vision, or NLP
Experience scaling up a team in a startup or high-growth environment
Experience defining career growth paths for data scientists, engineers, and/or analysts, including both management and individual contributor roles

Roc360 is a global team of professionals committed to improving the residential real estate ecosystem. The core team has worked together for over 20 years, combining an entrepreneurial spirit, research-driven investment strategies, and a common-sense approach to lending. We offer our employees best-in-class benefits, including comprehensive health, vision, dental & retirement plans, including 401k matching.

As we have grown our team to 250 employees across 4 continents, our main focus has been to find hardworking people who are excited to make an impact. Roc360 is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

Learn more about careers at Roc360 here.


Staff Data Scientist Energy Sustainability

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly and we are looking for a passionate, mission-driven Staff Data Scientist, Energy & Sustainability to join our team.

This role requires specialized skills in energy, renewables, climate, and energy financing domains; and an ability to understand the customer needs and industry trends. Energy & Climate Solutions Strategist will work with the customers and multidisciplinary teams in the US and Japan to develop the strategy and specifications for our solution for various customers.

What You’ll Do

Develop technical specifications for evolving One Concern’s products and solutions for climate risk adaptation, energy resilience, sustainability, and financing, targeted at enterprises, insurers, banks, asset managers, and cities.
Work closely with various cross-functional teams at One Concern (Solutions, Data Science,  Engineering, Product Management, and Business Development) to design and build innovative and practical solutions and product offerings.
Drive innovation within One Concern to stay ahead of client needs and to differentiate our offerings in the market.
Help One Concern evolve its current value proposition for climate adaptation and energy resilience with our target clients across sectors by being active in the market, listening to clients, developing new service offerings, and delivering high-quality and impactful solutions to our clients.
Keep up-to-date on the latest sustainable and resilient energy technologies and their financing methods, climate and energy risk financing market trends, and public-private partnerships approach.
Conduct quantitative research, business, and financial analysis for new opportunities in the resilient energy space, climate adaptation, and financing markets, and identify relevant use cases for the applications of the One Concern resilience platform of those markets.
Support the Solutions Team in presenting new sustainable and resilient energy alternatives and financing solutions to client decision-makers, including (re)insurance managers, asset managers, enterprise CROs and CFOs.
Interact with customers to understand the requirements, field technical questions, and provide details on our technical solutions.
Create customer-ready materials to position One Concern solutions to the customers successfully.

Qualifications & Experience

At least five (5) years of relevant experience in renewable energy technologies,  and their associated advantages, risks, and financing mechanisms.
Demonstrated experience of working on sustainable energy and climate adaptation approaches and financing options for enterprises (via financial instruments like loans, bonds, insurance a plus).
At least (3) years of experience analytically assessing resilience, sustainability, and ROI of energy solutions  ( (re)insurance, catastrophe modeling, or actuarial experience domains a big plus).
MS or Ph.D. degree in Environmental Engineering, Energy Engineering, Computer Science, Finance, Economics, Mathematics, Actuarial Science, Statistics, Engineering, or a related technical field.
Demonstrated experience of working on new solutions working with customers and teams in a multidisciplinary environment, preferably in energy and/or climate space.
Strong communication, quantitative and analytical skills.
Creative, innovative mindset for identifying and solving open-ended problems.
High willingness and flexibility to travel (domestic/international) - potentially >25% travel under normal, post COVID-19 conditions.

Nice to Haves

Experience of working for/with (re)insurance companies or brokers, asset managers, or climate finance companies will be a big plus.
Hands-on experience developing proof of concepts and prototypes that involve financial modeling, and data science/machine learning.
Good understanding of the (re)insurance/financial sector, climate risk and climate finance industry, and private sector/public-private partnerships approaches for climate adaptation.
Work experience with multinational / Japanese customers will be a big plus.

Compensation will be competitive with market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Staff Data Scientist Ai Ml

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly and we are looking for a passionate, mission-driven Staff Data Scientist, AI/ML to join our team. You'll work on developing innovative machine learning models for a variety of applications in flood and resilience modeling.

We work in a highly collaborative, challenging and exciting environment. Our data science and engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies.

What You’ll Do

Play a critical role in setting the direction and goals in terms of project impact, ML system design, and ML excellence
Design, propose and develop custom machine learning and/or deep learning models to drive innovative products
Identifying potential improvements using AI/ML for better solutions as the problem might not always be well defined. For example this can be proven being first author in research publications in reputable conferences or have led projects end to end.
Keeping up with advances in the field and push for new advances in ML/DL only if there are significant and pragmatic benefits
Code deliverables in tandem with the engineering team
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.

Qualifications & Experience

Have a track record of coming up with new ideas or improving existing approaches in machine learning.
Possess the ability to own and pursue a research project, including impactful problems and individually carrying it out to completion
Strong background of machine learning, deep learning, statistics and quantitative analytics
At least 5 years of applying machine learning for solving real-world problems in industry
Past delivery of large-scale ML solutions for complex business problems
Advanced experience with Python (preferred)
Proficiency in using one or more query languages such as SQL
Advanced degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics or related field

Nice to Haves

Experience working on applying machine learning methods on geospatial data to solve real world problems is a big plus
Experience with GCP and big data technologies such as hive, hadoop, spark etc.
Domain knowledge in flooding, earthquake, damage prediction is a plus

Compensation will be competitive with market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Science Manager

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly and we are looking for a passionate, mission-driven Data Science Manager to join our team. You'll lead a team of data scientists and partner with engineering teams to guide the development of event response features.

Reporting into the Director of Data Science, you'll combine strategy, execution, management, and leadership to drive adoption and growth of our technology. We seek an innovative, strategic, high-empathy leader, who can steer the team towards expectations as we continue to mature and grow our solution offerings.

What You’ll Do

Guides the strategy and its execution of one or more teams across multiple projects or workstreams on a six to twelve month roadmap
Drives impactful outcomes in the face of significant organizational and technical ambiguity and change
Cultivate the development of your team and strategically partner with product, program and engineering
Increasingly optimizing for the wider org and driving cross data science initiatives to impactful outcomes outside my normal area of scope
Drive business outcomes through expertise in data science as well as through strong relationships, management and cross functional influence
Guide the team to impactful results by setting strategy that is aligned with the org and business
Create an environment that empowers the teams to deliver at a high level of impact by building, organizing, and motivating well-balanced, diverse teams with a strong sense of belonging.

Qualifications & Experience

Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
3+ years of experience within catastrophe modeling, hazard modeling, risk management, analytics or in a similar field
2+ years experience in building and managing a team of data scientists

Nice to Haves

Interest to learn new topics and skills and to develop innovative products for our customers
Curiosity and willingness to experiment, fail fast, learn, and adapt
Ability to thrive in a fluid startup environment
Mission-driven and team-focused

Compensation will be competitive with the market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist Hydrodynamics

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly and we are looking for a passionate, mission-driven Data Scientist, Hydrodynamics to join our team.

What You’ll Do

Calibrate and validate flood prediction pipeline in deployment regions
Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools
Suggest, research and implement improvements of model calibration and validation process, including automation of calibration and validation process for scalable and speedy deployment
Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as river gauge, damage and loss data) used in the development and validation of catastrophe models
Provide support on ad-hoc analysis and reports

Qualifications & Experience

Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
2+ years of experience in the area of flood inundation modeling and flood forecasting/simulation
1+ year experience in quantitative analytics and/or statistics
Strong drive to learn new topics and skills and to develop innovative products for our customers
Experience with scientific computing in an interpreted language (e.g. Python) is a plus

Nice to Haves

Experience in storm surge modeling, wind modeling
Experience in calibrating and validating large scale flood pipeline, and flood risk modeling
Experience in Parallel programming in GPU and cloud computing
Understanding of MySQL, Postgres, relational databases etc.

Compensation will be competitive with market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist Ai Ml

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly and we are looking for a passionate, mission-driven Data Scientist, AI/ML to join our team. You'll develop innovative machine learning models for a variety of applications in supply chain and resilience modeling. You should have experience with collecting and cleaning data, feature engineering, building scalable machine learning algorithms and constantly improving them over time. You should be a visionary, executor and an excellent communicator.

We work in a highly collaborative, challenging and exciting environment. Our data science and engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies. If you are a problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern.

What You’ll Do

Work closely with data science and engineering team to identify areas of improvement and propose creative solutions to product challenges
Design and Develop custom machine learning models to drive innovative business solutions
Work with domain experts in building and improving different products
Assess the potential usefulness and validity of new approaches and data sources.
Formulate your own problems as the problem might not always be defined for you
Work in an agile, collaborative environment, partnering with other domain scientists of all backgrounds and disciplines to bring analytical rigor and statistical/ML methods to solve challenges.

Qualifications & Experience

Possess the ability to own and pursue a research project, including impactful problems and carrying it out to completion
Background of machine learning, deep learning, statistics and quantitative analytics
2 years of applying machine learning for solving real-world problems in industry
Experience in computer vision modeling
Experience in Supply Chain modeling.
Past delivery of large-scale ML solutions for complex business problems
Experience with Python
Proficiency in using one or more query languages such as SQL
Degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics or related field

Nice to Haves

Experience working on applying machine learning methods on supply chain data to solve real world problems is a big plus
Experience with GCP and big data technologies such as hive, hadoop, spark etc.
Domain knowledge in flooding, earthquake, damage prediction is a plus

Compensation will be competitive with the market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Senior Pricing Scientist

LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:

You can operate in a fast paced, dynamic environment
You nerd out about AI, how it can be applied, or how you can learn more about it (don’t worry we’ll help)
You believe data-led decision making is the norm
You see feedback or failure as motivation to learn and to grow
You relate to our core principles (link) and want to work  with experts in their respective fields

Job Mission
As LivePerson’s Senior Pricing Scientist, you drive our pricing strategy to grow LivePerson’s revenue and deliver value to our customers. You derive your insights and recommendations through rigorous data-driven modeling paired with close collaboration with our marketing, sales, and product leadership. You also get involved directly in some of our deals to generate new ideas and stay close to the customer.
You ensure that any recommendations you provide are highly actionable and can easily be explained to internal and external audiences. Finally, you build on top of our unit economics models, allowing for an even more reliable view of margins at the product and customer level paired with actionable recommendations for the sales, marketing, and product teams.
In this role you will:

 Rapidly immerse yourself in our billing and usage data, and learn about our products.
In collaboration with our strategic pricing leader you develop a pricing strategy that aligns with our revenue and adoption goals and is enthusiastically received by the leadership within months of onboarding.
you socialize the strategy and ensure cross organizational buy-in by  partnering with our strategic pricing leader,
Further, you share usage insights with our sales, product, and marketing teams to influence strategic decisions across the company.
Finally, you conduct quarterly executive level reviews on pricing performance and provide go forward recommendations.

 Your qualifications are:

5+ Years of experience delivering and implementing pricing strategy in the software industry (SaaS) with deep knowledge of pros and cons of various SaaS based pricing strategies
A proven track-record of developing trusted relationships with executives and working effectively across functional boundaries
Solid experience in statistics, and causal inference
Proficiency in translating business objectives into models that lead to actionable recommendations
Ability to write Python code that is efficient and clean (SQL expected)
Master in Economics, Marketing with Pricing Focus, Statistics or similar. Ph.D. strongly preferred
Demonstrated ability to independently uncover insights and relationships across numerous datasets

Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.


Data Scientist Mediaguard

At HUMAN, we know who’s real. We are the global leader in bot mitigation. We protect more than 200 enterprises—including the largest internet platforms—from sophisticated bots by verifying the humanity of nearly one trillion online interactions every week. The most sophisticated bots look and act like humans when they click on ads, visit websites, fill out forms, take over accounts, and commit payment fraud. We stop them.
Founded in 2012 in a Brooklyn sci-fi bookstore, our Bot Mitigation Platform protects enterprises from the sophisticated bots that threaten them. It’s an ongoing war that we fight passionately every day. Join our mission to stop bots, disrupt the economics of cyber crime, and keep it human.
The Data Science team at HUMAN is at the heart of what we do - finding and stopping bots. We build the algorithms that run behind the scenes analysing and decisioning more than 10 trillion events per week. We deploy state-of-the-art statistical and machine learning models that need to work at massive scale while also being robust to common fraudster tactics of evasion and deception.
MediaGuard is our product for advertising platforms, allowing real-time insight for customers into which advertising opportunities are fraudulent bot-driven events.
Who you are

You’ve got solid experience (at least 2 years) of solving large-scale data science problems in ad-tech or a closely related domain (such as e-commerce or web analytics).
You know enough about how the internet/web works to give a convincing explanation of DNS / HTTP / JavaScript.
You are fluent with Python and SQL and familiar with related tools, libraries and platforms (e.g. Jupyter, Pandas, NumPy etc).
You have a strong sense of ownership which drives you to find ways to keep moving forward in the face of uncertainty.
You’ve mentored more junior data scientists and helped them grow.

What you'll do

Establish yourself as a technical leader at HUMAN. First by understanding our detection methodology and how data science fits in, then by using your experience to identify where we can improve and making that improvement happen.
Evaluate and implement data analysis strategies to improve detection efficacy at internet-scale.
Influence detection strategy and aid our leadership in understanding the detection impact of new initiatives.
Collaborate with product, engineering and customer success to define and develop new data-intensive product features that will delight our customers.
Research for case studies with our partners on botnets, fraud and abuse in online advertising.
Contribute to toolkits and platforms that scale detection analytics.

Life at HUMAN
Our HQ office is located in the heart of New York City. We are growing the company deliberately with a keen eye towards maintaining a culture that values diversity, lifestyle, and career growth. We are doing meaningful work and our ambition means we need more people to help us. We have offices located in NYC, London, Washington DC, and Victoria (Canada).


Director Data Science

Seniority Level: Director
Location: Long Beach, CA or US Remote (in select states)
About the role and about You:
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities.
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business.
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you.
What you’ll do:

Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products
Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations
Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models
Hire and develop a growing team of data scientists

What you'll have:

Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields
12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams
Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling
Fluent in SQL and Python or R
Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication

Bonus points:

Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games


Data Scientist

Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better.
We've just launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. Early feedback is great, but we still have a long way to go toward achieving our mission. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2018.
Eight Sleep is looking for an experienced Data Scientist to help us expand our product features and our capabilities to bring the highest quality sleep to as many people as possible. As a Data Scientist you will have a big impact on the direction of our products and engineering efforts. Your job will be to solve complex problems by making sense of massive amounts of sleep data and distilling it down into actionable directions and insights. You will be empowered to drive the full lifecycle of a project from data collection, exploration, visualization, modeling, experimentation, and deployment. We are seeking someone with a passion to work with one of the largest datasets of sleep in the world, and to be a part of growing and shaping the future of sleep.

How you'll contribute

Develop data-driven insights to identify opportunities and recommend prioritization of product, engineering, and optimization initiatives.
Support our engineering and ML efforts by building the tools and models to measure and define our goals.
Independently run data experiments and build proof of concepts to better use data and improve our products.
Prepare and manage large datasets to run experiments with the goal of optimizing the sleep of our users.

What you'll need to succeed

M.S. or Bachelors degree in Math, Statistics, Engineering, or Computer Science
5+ years experience in developing, testing, and deploying optimized predictive models
Languages: SQL, Python
Tools/Software: Pandas, Scikit Learn, Jupyter Notebooks, AWS
ML Techniques: Clustering, Decision Trees, Neural Networks
Statistics: Regression, Statistical Testing
Ability to communicate data and technical work to non-technical stakeholders

Why you’ll love Eight

We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleep
Leadership is committed to employees’ wellness and career development

You’ll get a better night sleep every night; all full-time employees receive the Pod
Flexible, generous PTO
100% employer contribution for medical/dental/vision insurance

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.


Senior Data Scientist Reddit Talk

“The front page of the internet," Reddit brings millions and millions of users together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Senior Data Scientist to work on our Reddit Talk team. Reddit Talk lets people have live audio conversations in their favorite communities. We have strong momentum with top subreddits hosting Talks ranging from AMAs (e.g., r/space with Chris Hadfield) to community conversations (e.g., r/dadjokes) attended by 10,000+ listeners. We’ve also built a community of moderators that we’re working with closely to expand this product. Our vision is to make Talk the go-to surface for live conversations on Reddit in all formats and we are doubling the team to make this happen. As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build one of Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:

Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.
Partner with Eng and Product to define and execute Reddit Talk’s roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization

Mentor and guide data scientists from across the company on best practices, techniques, and thought processes

Who You Might Be:

4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience working with senior cross-functional stakeholders (VP, C-level)
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit


Senior Data Scientist International Growth

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come work with one of the richest datasets in the world and make an impact on the lives of Redditors everywhere.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a results-oriented and strategically minded Senior Data Scientist, Product Analytics to work with our International Growth team as Reddit expands its user base to emerging markets. This is a truly zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield and white space opportunities on how to grow Reddit’s presence in emerging markets.
How You’ll Have Impact:
Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified emerging markets as a key opportunity and need you to be a key player in exploring and understanding the key levers to drive growth.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how emerging market users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for emerging market users, as well as uncovering opportunities for new experiences that are optimized for lower bandwidth internet connections.
You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis.
What You’ll Do:

Partner cross functionally with Eng and Product leads to help define and execute international growth’s emerging market roadmap and initiatives as well as play a key role in Reddit’s first emerging markets playbook
Become the expert at understanding user behavior and long-term trends in emerging markets
Generate data-driven insights that propose next steps in the strategic roadmap including opportunity sizing new initiatives such as alternative onboarding and leveraging new technologies localized to emerging markets
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with emerging market preferred


Senior Data Scientist Channels

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Senior Data Scientist to work with our Channels team. The Channels team within the Growth org is responsible for sending the right message to the right user at the right time via the right channel. Our challenges include recommending relevant content to millions of people, developing new interactions on and off the platform, and deeply personalizing what and how Reddit communicates to our users.
How You’ll Have Impact:
You’ll be a champion for user experience as Reddit improves and innovates on its Channels (Email & Push Notifications) strategy. You’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large data from one of the most visited websites in the US, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users.
What You’ll Learn:

You will be deeply integrated with our tight-knit Channels team, which moves quickly and runs more experiments than any other team at Reddit. You’ll play a key role in determining the Push Notification and Email strategy for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation that will impact the entire company.
In addition, you will work side by side with a world-class org of Engineering, Product, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Channel levers)
Conduct exploratory analyses to size new opportunities for re-engaging Redditors through push notifications, email digests, and other outreach channels
Partner with Eng and Product to define and execute Channel’s roadmap and initiatives
Design and evaluate A/B tests and product feature experiments to influence product strategy
Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
Present findings to senior leadership and inform product decisions

Who You Might Be:

4+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Experience with developing user segmentation and using the segments to drive user experience and product improvements
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)


Data Science Manager Experimentation

“The front page of the internet," Reddit brings millions and millions of people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Data Science Manager to lead our Data Science horizontal on Experimentation and to partner with our Engineering team to drive and implement the vision of Experimentation at Reddit.
Our Experimentation Platform has been used by our Product and Engineering teams to run thousands of experiments in order to ensure that we fully understand our users and create the best possible experiences, as well as to roll out thousands of features in a safe, appropriate way. In 2021, we have rapidly scaled our Experimentation team and are quickly turning the platform into a world-class framework, capable of even greater scale and effectiveness.
As the Data Science Manager for Experimentation you will lead a small but growing team and will be pivotal in driving company-wide innovation and rigor, shaping our metrics strategy, and building a strong experimentation culture. The opportunity for impact will be great as you enhance the success and understanding of our products across our diverse and growing user base.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. As the 6th largest site on the internet Reddit has a dramatic scale but at 1000+ employees you won’t be stuck making small incremental gains on enterprise systems. You will create organization-wide capabilities to run more advanced experiments and create publication quality research, leverage complex testing and optimization algorithms to grow revenue, and produce more robust results faster to help teams increase their velocity and effectiveness.
What You’ll Learn:
You will partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In particular, you’ll be exposed to and drive adoption of a variety of new techniques in modeling, experimentation, statistical frameworks, and causal inference.
What You’ll Do:

Be the main point of contact for Data Science / statistics of experimentation, creating and implementing the roadmap for the stats engine of Reddit’s Experimentation Platform, providing guidance on experiment design, analysis, and metrics
Apply modeling (advanced statistical methods, machine learning) to improve the accuracy of our experimental results (e.g. variance reduction techniques such as CUPED)
Be responsible for platform-wide Data Science process & analyses, defining company-wide experiment processes (delegation of authority when certain metrics are impacted, etc.), communicating good experimentation best practices and setting the standard for experiment design for the entire organization
Ensure high-quality and trustworthy experiment results and ensure that experimental designs lead to action
Collaborate with multiple engineers/product teams across the whole company to find technical solutions to complex experiment design challenges
Develop and adopt statistical methods that help Reddit teams better measure their feature areas
Perform meta-analysis on experiments to understand macro trends in our product ecosystem and to understand the health of experiments for the company as a whole

Who You Might Be:

5+ years of experience in quantitative or data science roles, preferably for a consumer-facing service/app
1+ years of experience focused on experiment design and/or A/B testing
Demonstrated application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc.
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Proficiency with querying relational databases (e.g., SQL)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems


Data Science Manager Ads Marketplace Analytics Pooling

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
We are looking for a Data Science Manager to lead the Ads Marketplace analytics team. You will partner closely with cross functional team leaders such as GPMs, Engineering Managers and other leaders in utilizing data to drive decision making.  In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Ads Marketplace strategy in a data driven manner.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data science leader, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Your work will not only impact millions of users and thousands of advertisers but also act as a data foundation for our rapidly growing ads business.
What You’ll Learn:

Your team will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company.  Your team will play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, your team will work side by side with a world-class organization of Engineering, Machine Learning, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Analyze conversations and behaviors across Reddit's over 10,000 interest-based communities, and convert them into insights and product recommendations.
Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers and ads quality for users.
Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Who You Might Be:

5+ years of experience in data analytics or related quantitative role
2+ years of experience in the digital advertising space
2+ years of experience managing a team of 5 or more Data Scientists.
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Good understanding of Machine Learning techniques and platforms.