Data Scientist Commerce Platform

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Data Scientists on the Commerce Platform Product Analytics team are embedded within product teams and leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in product development. Data Scientists support Square’s mission of economic empowerment, by using data to build understanding and empathy with our customers, enabling us to build a remarkable product experience.
You will:
Partner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact and produce actionable insightsDevelop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactfulApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).Communicate analysis and decisions to high-level stakeholders in verbal, visual, and written mediaContribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square
Qualifications
You have:
3+ years of product-focused data science experience or equivalentFluency in SQLExperience performing data analysis and machine learning using Python or RExperience using statistics to inform decision makingAbility to understand complex business and data systems; versatility and willingness to learn new technologies on the job
Even better:
A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical fieldExperience with a BI tool such as Looker or Tableau Experience with data warehouse design, development and best practices
Technologies we use and teach:
SQL (Snowflake)Python (pandas, scikit-learn, etc.)ETL Looker, Amplitude, Tableau
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Machine Learning Data Scientist

Company Description
Join a movement in which everyone can win. We started a movement in which everyone can win – shoppers, retailers, society and every person on our team. To play fair, trust people and reward them for doing the right thing. We see and feel the impact of our work as more and more people gain financial freedom and retailers grow across the globe.Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the world’s best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Levi’s, Mac Cosmetics, Ray-Ban and many others. Afterpay is on a mission to power an economy in which everyone wins.Afterpay is completely free for customers who pay on time – helping people spend responsibly without incurring interest, fees or extended debt. Afterpay empowers customers to access the things they want and need, while still allowing them to maintain financial wellness and control, by splitting payments in four, for both online and in-store purchases. Afterpay is deeply committed to delivering positive outcomes for customers. We are focused on supporting our community of shoppers.We trust in the next generation and share a vision of a more accessible and sustainable world in which people are rewarded for doing the right thing.
Job Description
Roles & Responsibilities
• Work cross functionally with stakeholders,  analytics, and engineering partners to improve our existing systems, collaborate in all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration;
•  Take end to end ownership of Machine Learning systems - from evaluating potential solutions, building features and samples, implementing models, define evaluation metrics, data pipelines and training, to real time predictions;
•  Identify new opportunities for personalization to apply Machine Learning to different domains of our consumer products including our Shopping, Engagement, Ads, In-store, Checkout etc.
Qualifications
Who are you? (Qualifications)
Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Block. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement.
•  5+ years of hands-on experience developing machine learning models at scale from inception to business impact;
•  Proven ability to tailor machine learning solutions to business problems in a cross-functional team.
•  Strong machine learning programming skills (Python, R, and SQL preferred);
•  Quantitative background in computer science, statistics, math, or related disciplines;
•  Familiar with deep learning models such as Wide-and-deep, DCN, Attention, and various embeddings;
•  Experience building and architecting large-scale, production quality systems, especially in one of the following directions:Recommendation systems, Search, Advertising, or NLP, Knowledge graph;
•  Familiar with problems such as cold-start, debiasing, transfer-learning, multi-task learning, recommendation platform implementation, and reinforcement learning;
•  Experience with scalable ML data platform (dataset management, feature engineering etc.),  ML Frameworks (TensorFlow, Pytorch etc.) development; Experience with building data products,  either internal or consumer-facing a plus;
•  Experience in managing, mentoring, and coaching other engineers a plus;
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Nlp

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Job Description
As an AI/NLP Data Scientist you will be responsible for building AI and Data Science models with a main focus on data extraction and insights. You will need to rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation.
Basic Qualifications:
- Bachelor's degree in quantitative field such as statistics, computer science, engineering, or applied mathematics, or equivalent work experience
- Six to eight years of experience relevant experience
Preferred Qualifications:- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 3+ years of relevant industry experience.- Experience with Financial documents such as SEC filings, financial reports, credit agreements or business news is a plus.- Creativity, resourcefulness, and a collaborative spirit.- Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation.
- Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc.- Proficient programming skills in a high-level language (e.g.Python,R,Java,Scala)- Being comfortable with rapid prototyping practices.- Being comfortable with developing clean, production-ready code.- Being comfortable with pre-processing unstructured or semi-structured data.- Experience with statistical data analysis, experimental design, and hypothesis validation.- Project-based experience with some of the following tools:        > Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar, BERT Transfer Learning)        > Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar)        > Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene)        > Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab        > Databases ( traditional and NOSQL)
- Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc.
- Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits: Take care of yourself and your family with U.S. Bank employee benefits.  We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve.  That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.
Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting careers.usbank.com.
EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
Salary range reflected is an estimate of base pay and is for the primary location. Base pay range may vary if an offer is made for work in a different location.  Pay Range: $108,545.00 - $127,700.00 - $140,470.00Due to legal requirements, U.S. Bank requires that the successful candidate hired for some positions be fully-vaccinated for COVID-19, absent being granted an accommodation due to a medical condition, pregnancy, or sincerely held religious belief or other legally required exemption. For these positions, as part of the conditional offer of employment, the successful candidate will be asked to provide proof of vaccination or approval for an accommodation or exemption upon hire.U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.


Data Scientist

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Job Description
Responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
Basic Qualifications- Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience- Six to eight years of relevant experiencePreferred Skills/Experience- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets- Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization- Understanding of machine learning techniques and algorithms
- Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
- Understanding of MLOps- Demonstrated project management skills- Effective interpersonal, verbal and written communication skills
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits: Take care of yourself and your family with U.S. Bank employee benefits.  We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve.  That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.
Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting careers.usbank.com.
EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
Salary range reflected is an estimate of base pay and is for the primary location. Base pay range may vary if an offer is made for work in a different location.  Pay Range: $108,545.00 - $127,700.00 - $140,470.00Due to legal requirements, U.S. Bank requires that the successful candidate hired for some positions be fully-vaccinated for COVID-19, absent being granted an accommodation due to a medical condition, pregnancy, or sincerely held religious belief or other legally required exemption. For these positions, as part of the conditional offer of employment, the successful candidate will be asked to provide proof of vaccination or approval for an accommodation or exemption upon hire.U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.


Sr Data Scientist

Our Global Data & Analytics team is the hub of harvesting and analyzing data to drive strategic, customer-centric business decisions for our brands. By collaborating with partners across a broad variety of business functions, associates on our D&A team provide recommendations that allow our teams to push boundaries and stay at the forefront of retail trends.
The Senior Data Scientist on our A&F Data Science team within Data & Analytics will develop solutions for complex, ambiguous, and high-visibility business challenges ranging from personalization, marketing mix modeling, demand forecasting to supply chain optimization with a focus on building machine learning products. This role will closely partner with our Marketing/Real Estate/Digital Product teams to help support their modeling, advanced analytics, and segmentation needs. Bring passion for learning and data-informed decision making that shapes holistic view of our business with consideration for all aspects of the customer experience - from front-end web & store experience through order fulfillment and customer service.
What will you be doing?
Building Machine Learning Products
Design and build machine learning models end to end, from exploratory data analysis to feature engineering to model training/testing to batch or real-time deployment in cloud platforms, such as Azure DatabricksUnderstand and be able to apply advanced modeling techniques, including supervised (classification & regression), un-supervised (PCA, clustering, etc.), recommendations, time-series forecasting & reinforcement learning.Build innovative machine learning models and segmentations for personalization initiatives to drive margin, revenue, and conversionDevelop geo optimization models that drive market opportunity assessment and real estate location selection; decompose omni-channel impact in the marketplace as result of store open/closures.Build out robust advanced segmentation schemes for our customer files.Implement drift detection & monitoring for machine learning models.
Analytics Ecosystem
Help identify cross-channel / cross-platform optimization opportunities for customer, product, market, promotions.Be an evangelist of data-informed decision-making and consistently look out for new ways to leverage data and analytics.Identify "low hanging" opportunities to increase conversion, save costs, drive revenue.Ensure data accuracy and single source of truth; work with data engineers to identify or build new solutions.Incorporate new data sources (social, clickstream, unstructured) & new types of data into segmentation/modeling/analysis.
What will you need to bring?
Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field and 4+ years of data and analytics experience (retail environment is a plus)Master’s Degree Preferred
You don’t have to be an expert in all or any of the areas below, but we need someone with a passion for learning and growing as a data scientist:
Expert in Python, SQL, PySparkStrong engineering and coding skills, with ability to write high quality production codeExperience with DatabricksExperience with Azure cloud ecosystem2+ years of production model deployment experienceExperience with Git, CI/CDExperience optimizing model hyperparameter tuning for speed and costExcellent documentation habitsHighly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed.
Our Company
Abercrombie & Fitch Co. (A&F Co.) is a global retailer of five iconic, omnichannel lifestyle brands catering to the kid through millennial customer: Abercrombie & Fitch, abercrombie kids, Hollister, Gilly Hicks and Social Tourist. At A&F Co., we’re here for our associates, customers and communities on the journey to being and becoming who they are – and because no journey is the same, we strive to create an inclusive culture, where everyone is free to share ideas.
Our Values
We lead with purpose and always put our people first, which is evidenced by our Great Place to Work™ Certification, as well as being a 2021 recipient of Fortune’s Best Workplaces in Retail, and named a Best Place to Work for LGBTQ+ Equality by the Human Rights Campaign for 16 consecutive years. We’re proud to offer equitable compensation and benefits, including flexibility and competitive Paid Time Off, as well as education and engagement events, including various Associate Resource Groups, volunteer opportunities and additional time off to give back to our global communities.
What You'll Get
As an Abercrombie & Fitch Co. (A&F Co.) associate, you’ll be eligible to participate in a variety of benefit programs designed to fit you and your lifestyle. A&F is committed to providing simple, competitive, and comprehensive benefits that align with our Company’s culture and values, but most importantly – with you! We also provide competitive incentives to reward the commitment our associates have for moving our global business forward:
Incentive Bonus Program  Paid Time Off and Work From Anywhere Flexibility    Paid Volunteer Day per Year, allowing you to give back to your community Merchandise Discount Medical, Dental and Vision Insurance Available Life and Disability Insurance Associate Assistance Program Paid Parental and Adoption Leave Access to Carrot to support your unique parenthood journey Access to Headspace dedicated to creating healthier, happier lives from the inside out 401(K) Savings Plan with Company Match Opportunities for Career Advancement, we believe in promoting from within A Global Team of People Who'll Celebrate you for Being YOU


Data Science Manager

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 700 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
The Data Science team is a central function that seeks to leverage data to help make better business decisions. This team leverages various data sources and quantitative techniques to synthesize narratives around how our customers use our products and develop critical insights and actionable recommendations for our business.
We are looking for a talented manager to lead a team of data scientists to answer critical questions about growing our revenue, transforming our business, and understanding the impact of our initiatives. In addition, you will collaborate with cross-functional leaders to develop a deeper understanding of our users to build the right product to meet their needs and achieve business objectives.
You will prioritize and align key analytics projects for your team and communicate quantitative insights and narratives broadly across all levels of the organization. You will also have the unique opportunity to define what data science means at Dropbox, influencing teams across the company to understand better how they can leverage information and insights to achieve their ambitious goals. Moreover, you will get the opportunity to lead a fantastic team of talented, curious, passionate data scientists to shape the future of our business.
Responsibilities
Build and manage a high performing team of data scientistsCoach and mentor data scientists of varying experiences to ensure their continued growth Plan, execute, and complete mission-critical data science projects and provide technical leadership in a fast-paced environmentProvide quantitative insights and perform analytical deep-dives to proactively identify growth opportunities and inform future learning, product experimentations, and product roadmaps  Steer the team in creating ML models to optimize our payments processing or fraud detectionIdentify key metrics and create automated dashboards to monitor and report on the health of the businessSimplify complex concepts to a broad audience, leaning on excellent communication skills, both verbal and writtenCollaborate with cross-functional teams, including Product, Engineering, Design, Marketing, and Research, to execute against our roadmap quickly and iterativelyUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelor’s degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years of industry experience as a data scientist2+ years of experience directly managing data scientists, quantitative researchers, or product analystsAbility to lead a high-performing team and inspire others Ability to influence prioritization and execution of high visibility projects that affect customer experience as well as monetizationExperience analyzing large datasets and using data to inform product and business decisions that led to measurable outcomesExceptional verbal and written communication skillsComfortable with SQL and large datasets, strong understanding of statistics, experimentation, and modeling
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).


Senior Economist Pricing

Wild Thinkers Welcome

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.

We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.

As a Senior Economist on the Pricing & Promotions team, you will own a causal modeling framework to estimate contextual price elasticities and promotional lifts over Thrasio’s extensive portfolio of omnichannel products to drive optimal pricing & promotions decisions, which is fundamental to Thrasio’s long-term success.

Responsibilities:

Leveraging state of the art causal inference methodology to measure price elasticity and promotional lifts with observational and experimental data
Designing experiments to improve measurement and validate strategies
Developing integrated solutions across pricing, promotions, marketing, forecasting, and supply chain
Collaborating with cross-functional partners to build the best pricing solutions
Driving strategic initiatives across the broader org as a leader at Thrasio
Owning team development cycles, managing risk, and bringing stakeholders along for the ride

Requirements:

Masters or Ph.D. in Economics or a related field such as Quantitative Marketing or Finance
2+ years of practical experience working with panel data (ideally in e-commerce)
Expertise in econometrics, causal inference, and experiment design
Proficiency in Python, SQL, Git
Passion for driving outsized business impact through applied science

Nice to have:

Expertise in Structural Modeling, Operations Research, Machine Learning
Familiarity with Git, Databricks, Snowflake, Spark

THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.

Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.


Principal Economist

Wild Thinkers Welcome

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.

We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.

As a Principal Economist on the Pricing & Promotions team, you will own a causal modeling framework to estimate contextual price elasticities and promotional lifts over Thrasio’s extensive portfolio of omnichannel products to drive optimal pricing & promotions decisions, which is fundamental to Thrasio’s long-term success.

Responsibilities:

Leveraging state of the art causal inference methodology to measure price elasticity and promotional lifts with observational and experimental data
Designing experiments to improve measurement and validate strategies
Developing integrated solutions across pricing, promotions, marketing, forecasting, and supply chain
Collaborating with cross-functional partners to build the best pricing solutions
Driving strategic initiatives across the broader org as a leader at Thrasio
Owning team development cycles, managing risk, and bringing stakeholders along for the ride

Requirements:

Masters or Ph.D. in Economics or a related field such as Quantitative Marketing or Finance
5+ years of practical experience working with panel data (ideally in e-commerce)
Expertise in econometrics, causal inference, and experiment design
Proficiency in Python, SQL, Git
Passion for driving outsized business impact through applied science

Nice to have:

Expertise in Structural Modeling, Operations Research, Machine Learning
Familiarity with Git, Databricks, Snowflake, Spark

THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.

Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.


Senior Data Scientist

At Clearbit, we help our customers build unstoppable growth engines. Our products enable businesses to understand their customers, generate demand, act on intent, and increase conversions all the way down the funnel. Today, Clearbit powers more than 1,500 B2B companies including Asana, Segment, and Atlassian. It's an exciting time to join Clearbit. We're a rapidly growing SaaS company, full of can-do people who care about craft, collaboration, and our customers.

As a Data Scientist at Clearbit, you’ll be the founding member of a new team! You will wholly own the investigation, testing, and implementation of our Reveal product’s algorithm, the foundation of our value story. You’ll work directly with senior leaders of our Product and Engineering teams to guide this product’s near and long term future. You’ll have the support of adjacent Data Scientists, Engineers, and PMs to brainstorm, socialize, and generally collaborate. You will help develop the tools, standards, and practices for future generations!

What You'll Do:

Analyze and model vast sets of signal and user data
Maintain complex SQL queries (& hopefully replace these with a better implementation)
Come up with new product directions and contribute ideas

What You Need to Succeed:

SQL mastery: the substance of our algorithm is currently in SQL, so even if you chart a path to refactor it in the next 6 months, to have impact from the start you’ll need to be very comfortable with SQL.
You have broad technical skill. You have experience in advanced analytics and statistics, SQL/NoSQL, Python/R, machine learning, experiment design (A/B testing, multivariate analysis), data wrangling/ETL, and APIs.
You have practical data science experience. You have significant prior success working on challenging problems at scale with expertise in statistical modeling.
You have a growth mindset. You are looking to chart your own path through a broad space of opportunity, with lots of guidance and support, of course.
Your focus is on customer value and experience. You recognize that we can build anything, but figuring out the right thing to build for customers—and truly understanding their challenges and problems they face— matters most.
You're creative and curious. You can dream and brainstorm and explore the opposite perspective. You're not afraid of new or different ideas.
Technical challenges aren't scary. You've worked with complex systems, data, APIs, CRMs, and/or marketing or sales automation platforms.
You have excellent communication skills. You're as comfortable writing for and talking to customers as you are talking to leadership, design, and engineering. You know your audiences, what's important to them, and can tailor the message so it's concise and clear. You can break down complex concepts into common, easy-to-understand language for the business.
Your attention-to-detail is top notch. You're quick to catch pitfalls and potential issues, and aren't afraid to ask why or communicate your understanding of a situation. You ensure everyone is aligned and understands what matters and why.

Working at Clearbit:

We invest in personal and team growth, valuing constructive feedback, and emotional intelligence. We aim to maintain a working environment of psychological safety, where vulnerability is not a weakness, so that it's easier to take creative risks, re-define what’s possible, and grow into the best version of yourself. Your teammates will push you to grow (kindly) and ask for the same in return.
Building a company takes a physical and mental toll, which is why we think it's incredibly important to make sure that we provide benefits that focus on physical and mental health.
Our benefits include:- Competitive salary and meaningful equity- Health, dental, and vision for you and your family- Paid parental leave- Mental health resources, coaching and therapy sessions- 401(K)- Education benefits

Don’t meet 100% of the criteria, but think you can do the job? We’d love to chat anyway! We’re on a mission to build diverse teams, and studies have shown that women and folks from marginalized communities are less likely to apply to jobs if they don’t check every box.

We value and celebrate how you identify, who you love, the color of your skin, your age (at heart and on paper), the gods you do or don't believe in, and every other belief and characteristic that make you, YOU. The more inclusive we are, the better we — and our work — will be.

Clearbit is an equal opportunity employer.


Network Data Scientist

The Financial Services team is looking for talented Network Data Scientists to help execute this vision. You’ll work closely with our Clients, Data Scientists, Product Managers, Software Engineers, and leadership team to develop analytics that provide insights on network dynamics and their impacts on financial performance in supplier networks.

Responsibilities

Develop statistical models of network structures and their relationships to network behavior
Automate identification of persistent network structures as well as emergent network structures and behaviors
Build analytical solutions for understanding network dependencies
Establish metrics for common network attributes such as attachment, centrality, connectivity, distance, path lengths, and similarity
Develop new metrics that describe network characteristics as relates to the performance of businesses in the network
Develop models to describe, predict, and simulate network behavior under multiple scenarios
Categorize relationships between network patterns and business outcomes
Build descriptive and predictive models of network dynamics that can be used to plan business strategies by people regardless of their expertise in network analytics

About You

BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience
You have a strong background in data science, graph mining, and graph simulations
You enjoy sharing your expertise using Python for graph analysis and machine learning
You have experience with data intensive applications and complex systems
You are energized by power laws, long-tail effects, and nonlinear system dynamics
You are comfortable communicating technical analysis to less technical stakeholders
You are interested in applying network analysis to improve the world
You have strong written and verbal communication skills

Nice to have, but not required

Experience with Apache Spark, Databricks
Experience with generative models of network structure and behavior
Experience analyzing supplier networks in supply chains, banking, insurance, or ecommerce

Technologies we love

Languages: Python, Spark, SQL
Tools: Scikit-learn, Numpy, Pandas, NetworkX, PyTorch, Tensorflow, DGL
Datastores: Databricks, Elasticsearch, Postgres, RDS, Kafka


Data Scientist

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 100 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators.  Our mission is to derive wisdom from data via the application of Data Science.
Wish has exciting opportunities for talented Data Scientists on our Supply Data Science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU.  Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale.
What you'll be doing:
Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive financial business decisions.Conceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.Work effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and being liaison between engineers and business partners.Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports.Investigate monetary impact on new programs and assist with ad-hoc requests.Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.Design, development and evaluation of highly innovative modelsTroubleshoot, maintain and update legacy data pipelines across MongoDB, Tahoe and RedshiftInvestigate discrepancies across various data flows and reconcile the differencesProactively develop insights and ML models to help us drive various marketplace results like supply quality, diversity and merchant services.
Qualifications
Bachelor's or Master’s degree in an analytical field or similar.1+ year of experience in data science roleProficiency in SQL or other query languages, deep experience and strengths to develop complex queries.Development experience in at least one scripting language (Python, PHP, Perl, etc.).Strong analytical and problem-solving skills; ability to transform data into business insights and actionable recommendations.Experience working with large data sets that are structured and partially structured.Working knowledge of data visualization tools (Superset, Tableau etc.).
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Data Scientist

Company Summary:
Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too!
Primary Function:
Our Data Scientists are instrumental in transforming Zoro’s data into insights and actionable results that drive the business forward. The Data Science team covers a broad scope of projects including customer segmentation, A/B testing, marketing investment optimization, predictive modeling, promotion forecasting, and pricing analysis. We are closely integrated with our business leaders and support their ability to make critical decisions. At Zoro, you will be challenged by new questions every day.
The successful candidate is passionate about eCommerce, seeks to learn about all aspects of Zoro’s business, and collaborates well with others.  Our aggressive growth goals mean that your day-to-day responsibilities and projects can vary greatly—which means tremendous opportunity for you to make an impact!
Duties and Responsibilities:
Use data science to support key business activities, including marketing campaign design, customer segmentation, pricing optimization, merchandising, and customer experience projects
Actively collaborate with internal business partners to understand and support their need for data-driven insights
Participate in the end-to-end analytical process: receive and evaluate business partners’ requests, develop a project plan and methodology, collaborate with business partners to refine the project plan, execute the data analysis, and provide recommendations.
Build statistical and machine learning models using Python and R that inform company decisions
Take responsibility to ensure the quality of data used in your projects and integrity of the analysis performed
Document code and data science processes that are critical to the company, and develop strategies to ensure those processes are robust and fault-tolerant
Communicate findings to business leaders and colleagues using data visualizations, presentations, and written means

Qualifications:
2+ years experience in marketing analytics, database marketing, data mining, and statistical modeling. Experience using advanced data analysis in an Internet retailer or a top-tier consumer-focused company (in technology, consumer goods, or retail) is required
Familiarity with Python or R for statistical modeling, clustering, classification, machine learning, and data mining
Demonstrated proficiency in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc)
Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners
Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions
Prior experience assisting complex business decision-making through data mining and machine learning
Master’s degree preferred in quantitative fields such as Statistics, Engineering, Operational Research, and Economics
Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.) a definite plus
Zoro Values and Inclusive Culture:
We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and AspireClojure  to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective.
Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive.
We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture.

Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


Sr Data Scientist Search Recommendations

Company Summary:
Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too!
Primary Function:
Our Sr. Data Scientists play a key role in helping customers navigate Zoro.com by supporting onsite search & recommendations as well as enhancing product information. Responsibilities may include training & maintaining recommendation algorithms, search ranking models, suggested search, product classifiers, NLP normalization algorithms, etc. Data Scientists work collaboratively alongside product managers, engineers and merchandisers to build data-driven, scalable solutions that enable customers to find the products they need from our assortment of over 10M skus.
Duties and Responsibilities:
Lead data science projects from beginning to end: develop and refine the idea, create a project plan and methodology, collaborate with business partners, execute, and provide recommendations for the company
Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research, and deliver outputs
Advise the company about tools, data sources, and best practices to facilitate digital marketing, pricing, and web analytics
Build predictive and inference models using Python and R to support business initiatives in the areas of customer acquisition, activation, engagement, retention, or channel investment optimization
Document code and data science processes that are critical to the company, and develop strategies to ensure those processes are robust and fault-tolerant
Communicate findings to business leaders and colleagues using data visualizations, presentations, and written means
Qualifications:
Experience leading data science projects that have a direct impact on company objectives
Demonstrated ability to assist business decision-making through data mining and machine learning
Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions
5+ years’ progressive business experience in areas including marketing analytics, database marketing, data mining, or statistical modeling. Experience using data science or advanced analytics in an Internet retailer or a top-tier consumer-focused company is required
Ability to translate complex business problems into project plans and solve them by analyzing large amounts of data
Familiarity with Python for statistical modeling, clustering, classification, machine learning, and data mining
Demonstrated proficiency in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc)
Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners
Master’s degree preferred in quantitative fields such as Statistics, Engineering, Operational Research, or Economics
Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.) a definite plus
Zoro Values and Inclusive Culture:
We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and AspireClojure  to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective.
Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive.
We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture.

Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


Data Scientist Machine Learning Computer Vision

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.Are you excited about Research and implement new detection capabilities for use within our Media Analysis Framework(MAF). You will rely on your experience in computer vision and machine learning to extract insightful metadata from the video. You will work closely with other researchers and engineers to create algorithms for multi-modal analysis of video. Additionally, you’ll ensure that your components are well-tested, production-ready, and performant at scale.Key Responsibilities: Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration in to production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Clearly communicate research discoveries and developed solutions to a variety of audiences through presentation. Preferred Skills:   Has excellent interpersonal skills and can communicate effectively. Is able to chart a solid research path given available requirements. Is innovative and self-motivated, and can find unique solutions to problems. Demonstrates excellent teamwork skills when interacting with research and engineering collaborators. Is able to plan, organize, and time-manage independently. Is able to manage priorities and assess the implications of decisions  Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline, plus at least 2-3 years industry experience in a machine learning role.  A PhD degree or equivalent industry experience is preferred. Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired. Strong programming and software skills, with Python experience preferred. Experience in signal processing, video encoding and analysis, and/or deep learning is also beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is beneficial. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Lead Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team.  You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers.  You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars:   DIGITAL ANALYTICS:  Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion.  EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations.  Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs.   RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance.  Productization: Maintain code which can be productise and packaged as python packages in any cloud environment.  Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production.  5+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).  Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders.  Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.  Strong data querying skills (SQL) and experience with a OOPs framework language (Python).  Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development.  Great teammate who enjoys collaborating with others.  BENEFICIAL BUT NOT REQUIRED  Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Data Scientist Client Analysis

About the role:

We are currently looking for Senior Data Scientists to join our Client Analysis team to be based anywhere remotely in the USA.
In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.
This is an excellent opportunity for a Data Scientist who thrives when they're able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary.
Responsibilities:

Analyze massive customer data sets, come up with actionable insights, explain how our models perform and how we can help our customers build optimal risk management policies.
Act as Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product
Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

Qualifications:

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
You know how to write clean, performant code in Python and/or R, and have 2+ years experience working with massive real-life datasets
You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure or GCP
You know how to tell stories with data (dashboarding, building interactive data stories and actionable presentations)
You are able to explain very complex algorithms, models, analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages
You thrive in a remote work environment and are excellent at setting clear goals and holding yourself accountable
You have experience and/or interest in identity verification and fraud prevention (preferred)

Technologies we use
The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

RStudio teams (Workbench, Connect and Package manager)
R language and ecosystem (The tidyverse family of R packages, Rmarkdown Shiny)
Python ecosystem (H2O, SHAP, Seaborn, Jupyter, etc)
Apache Arrow
Airflow
Redshift, Snowflake, S3
Apache Spark
Amazon EMR
Git and Gitlab


Senior Data Scientist Canada

About FreshBooks
FreshBooks is a leading cloud-based SaaS accounting software designed with one goal: to help small business owners grow. We reached unicorn status after raising our valuation to more than $1 billion and continue to scale our business to serve business owners, their clients, and accountants in more than 160 countries worldwide. FreshBookers are found all over the globe, and we know that different folks thrive in different working environments: Remote, onsite, and everything in between, you’ll find it with us.

The Opportunity - Senior Data Scientist
The Senior Data Scientist will discover and operationalize data science and ML products & insights derived from FreshBooks and 3rd party data in support of marketing, product development and user research. As part of the team, you'll research, design and implement ML algorithms that drive our core recommendation and personalization systems.

What You'll Do

Develop and implement multiple recommendation solutions at scale across our personalization efforts to deliver on user experience

As a technical leader, you are expected to be on top of the literature, open source challenges and datasets, helping to inform strategy and project planning within the Data Science team and across the wider organization.

You’ll maintain an understanding of industry and technology trends in ML, DL, NLP, recommendation and personalization

Lead, mentor and develop colleagues, and align the research and development direction to business goals, especially with judgements on schedule, approach and prioritization.

Collaborate with data and software engineers to integrate and enable and deploy new or improved models and supporting technology within the company’s production systems.

Responsible for the conception, planning, and prioritizing of data science projects.

What You'll Bring to the Role

Strong background applying machine learning in industry settings

Experience with recommender systems and/or knowledge graphs are strongly preferred.

Strong software development skills and experience writing production quality code

Strong mathematical skills with knowledge of statistical methods and machine learning

Proven track record delivering results in complex, cross-functional projects

MSc (PhD preferred) in Computer Science, Statistics, Machine Learning or related quantitative field

Strong organizational and leadership skills

Excellent communication skills

You'll Stand Out If You Bring Experience In

Recommender systems, knowledge graphs, experimentation, multi-arm bandit and/or Bayesian approaches are a strong plus.

Our Commitments to You
At FreshBooks each person knows their opinion is valued, and can see their impact on the lives of over 10 million small business owners around the world. Accelerate your career, work on projects you're passionate about, and work as a part of a collaborative team without ego! Here are some of the ways FreshBooks recognizes and rewards our employees:

🩺 Comprehensive Health and Wellness Benefits. Including retirement savings programs matched to your local office, stock options for every full time employee, generous time off, parental leave and new parent support, annual healthy living credit, comprehensive medical and dental benefits dependent on your region, and more.
📚 Perks that Matter. Including a Peer Recognition Program, an Employee Assistance Program, headphone credit, meaningful in-person gatherings to bring onsite and remote employees together, and more perks matched to your locale.

🌱Working Environments to Help You Thrive. Beautiful office spaces welcome you in Canada and Mexico, and remote FreshBookers receive a home office credit to set up your home office.
🤗 Supportive Peer Group, Mentors, and Leaders. We care about each other across the organisation and have programs to support this so everyone feels a strong sense of belonging, and believes in collective impact.
🚀 Accelerated growth. 3 week dedicated company onboarding, career development through continuous coaching, training, and learning on the job, and a bi-annual review process.

Closing
Even if your experience doesn't meet every bullet on the above lists, we'd love to learn more about you and why you think FreshBooks is the next step in your career.
FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.
FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.#LI-JL13


Principal Data Scientist

Principal Data Scientist, Search and Personalization -  United States (Remote)

Duration: Permanent

Location: United States (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

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Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 496,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 495 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is 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, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Science Lead

Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.

Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.

We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!

In this role you will partner with our internal teams and current customers to develop and deploy superior machine learning models that drive growth using first- and third-party data. Your deep curiosity and tenacity, combined with business judgment will surface opportunities to apply data science to various business problems, including optimizing B2B marketing budgets, applicant selection scoring, etc. Your algorithms will be leveraged to deliver superior results which actively contribute to Fountain’s rapid growth.

Reporting to the VP, Data Science, Analysis and Insights you will have the opportunity to showcase your work to the leadership team. You will lay the foundation to build a high-caliber team reporting to you, expanding Data Science and driving the roadmap for new applications across the organization.

What you'll be doing:

Program using R, Python, Javascript, Java, or C++
Perform big data modeling work: BigQuery, Pig, Scala, Spark
Fish for data: SQL, Pandas, PostgreSQL
Deploy Data Science solutions: Java, Python, C++
Can communicate concisely and persuasively with engineers and product managers

What you should bring:

Significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale
Bachelor’s degree required in Computer Science, Statistics, or Mathematics or equivalent field required
5+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis
Strong ability to code in Python
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring

Nice to Haves:

Advanced graduate degree (e.g., MBA, PhD, etc.)
Experience includes building and leading talented teams

Amazing Perks & Benefits we provide for our employees include (but are not limited to):
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
16 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan

Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.

We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.

*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*


Sr Actuarial Analyst

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role: The Sr. Actuarial Analyst at Clearcover is a natural problem solver who acts with urgency and focus. They exist to support the Insurance department’s objective of developing and maintaining Insurance products that can deliver sustainable growth.

The Sr. Actuarial Analyst will support the organization’s understanding of rate level adequacy, reserve adequacy, and book performance on a segmented basis. This role will:

Lead processes that support core actuarial functions and unit economic modeling
Support multi-state expansion including, but not limited to, rate development, rate filings, and technology support
Analyze and provide recommendations on segmented product pricing enhancements in existing states and provide regulatory support
Contribute to a wide range of analytical projects that continuously enhance the business. A key feature of this role is effective collaboration with a peer network across all functional areas to drive accurate, timely and compliant execution of state launches with well-crafted written communications for both internal and external audiences.
Building predictive models to support customer lifetime value scoring for both potential and current customers with minimal guidance
Building actuarial tools to support trending, loss development, reserving, forecasting, rate measurements, segmentation, etc.
Help with the execution of the monthly IBNR reserving process

What do you need as the Sr. Actuarial Analyst?

Successful completion of 3 CAS actuarial examinations
Years of relevant work experience
Technical abilities in R/SQL/Python/Excel
Strong ability to communicate effectively and to challenge the status quo
Strong decision making and relationship building skills
Alignment with Clearcover core values

Now offering the Clearcover Actuarial Study Program. This program will offer coverage of exam fees and study materials, paid study time off, salary increases, and bonus recognition.
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Predictive Modeling Analyst Auto R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role as the Predictive Modeling Analyst, Auto R&D
Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a technical insurance pro to build products that create confident, happy customers.
What will you do as the Predictive Modeling Analyst, Auto R&D

Roll up your sleeves to execute on the most important initiatives spanning our customers’ journey
Apply your predictive modeling skills to create the future of our insurance product
Drive analyses that maximize portfolio lifetime value through individual risk selection
Democratize data and insights to facilitate data-driven decision-making across Clearcover
Present your technical recommendations to Clearcover’s senior leaders

What do you need as the Predictive Modeling Analyst, Auto R&D?

3+ years of experience applying predictive modeling techniques

Strong intellectual curiosity with a bias towards action
Insurance knowledge with Auto and Property experience is a must
Excellent programming skills with experience in SQL, and R or Python
Strong communication skills with the ability to explain insurance concepts to both technical and non-technical audiences

What would make you an exceptional candidate as the Predictive Modeling Analyst, Auto R&D?

Product development experience from concept through post launch monitoring

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected.
With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!