Data Science Intern

With some of the best minds in adtech under our global roof, we bring industry-leading technology, a tradition of great service to our clients, and huge scale ‚ÄĒ across every format, from mobile to CTV. This allows us to build products that lead to greater reach for buyers and higher revenue for publishers ‚ÄĒ while solving some of the most intricate problems in digital marketing at large. That's the power of OpenX.

About You
You enjoy solving complex quantitative problems and are eager to work with tools and technologies that may be outside your comfort zone.
You enjoy working in an open and collaborative environment.
You are highly communicative, presenting relevant, concise, and empirically-driven information.
You have the self-motivation to work independently but also know when to ask for help or guidance.
You are highly driven but recognize when compromises are a more efficient solution.
You are a dedicated software craftsperson who cares deeply about best practices and what it takes to write and maintain great code.

Key Responsibilities

Extract and manage datasets from a big data framework to use for analyses and model training.
Assist in prototyping models, including model creation, training, and evaluation.
Implement training and real-time model evaluation architectures into production (in an existing codebase).
Run experiments to assess and report model performance in production settings.

Requirements

Working towards M.S. or Ph.D. in Computer Science, Statistics, Physics, Mathematics, Operations Research or related field.
Experience with Python is strongly preferred, experience with SQL and Java is also desirable.
Familiarity with data analysis and machine learning/modeling techniques including neural nets, gaussian processes, recommender systems, etc; robust knowledge of practical statistics and their application in machine learning.
Preferred experience with machine learning platforms and tools such as python/pandas or R, TensorFlow (strongly preferred) or PyTorch, etc.
Experience using cloud platforms such as GCP or AWS, while not required, is also favorable.¬†¬†

Effective Date: March 1, 2022

OpenX Applicant Privacy Policy

This privacy policy sets out how OpenX (collectively, "OpenX" or "we") uses and protects your personal data in order to evaluate your candidacy for a position with OpenX.

Your personal data is provided to our applicant tracking vendor in order to maintain records and keep track of your recruiting status and information.
We encourage you to read the whole policy because it provides important information on your rights, and our obligations, with respect to your data.

Data we collect
If you apply for a job with us, we will collect, use, and store personal data about you. To the extent permitted by law, this may include:

Data you provide to us directly:

We process personal data contained in the job application that you send to us and information that you provide during the recruitment process (specifically data contained in your CV and additional data provided during recruitment). Those may include:

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† contact details (name, address, phone numbers, email, etc.);

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† qualification details (such as information on your previous work experience or education);

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† application information (such as expected income, type of job wanted or your availability);

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† identification details (such as date of birth, passport number, nationality and residence, government ID numbers (e.g. Social Security Number), immigration status);

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† any other data you submit to us, including any correspondence between you and OpenX exchanged during the application process;

‚óŹ¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† if you granted us your explicit, voluntary consent - demographic data (e.g. information about your race or ethnicity).

Data from other sources: Generally, we collect data directly from you when you respond to our job application. Sometimes, we obtain data about you from other sources, such as your previous employers (if you consent to us collecting references), recruiters, market research companies, identity verification providers, and information accessible on the Internet and third-party websites, including LinkedIn. If you have consented to background checks and/or where permitted by law, we may also collect details of professional registrations, sanctions with professional bodies, financial checks, or criminal convictions.

Automatically collected information: When you submit an application through the careers page on our website, we may automatically gather some information from your computer, mobile phone, or other device. This may include, but is not limited to, information such as your computer IP address, standard web log data, or browser type.

Why do we process your personal data and on what basis?
OpenX may access, use and store your personal data for the reasons set out below.

‚óŹ¬†¬†¬†¬†¬†¬†¬† Where this is necessary for OpenX to review and assess your application for employment.¬† This may include:

o¬†¬† assessing your skills and interest in career opportunities at OpenX;

o¬†¬† processing your application;

o¬†¬† analyzing and verifying your qualifications;

o¬†¬† verifying your identity and your eligibility for employment; and

o¬†¬† communicating with you about your application, to respond to your inquiries and schedule interviews.

‚óŹ¬†¬†¬†¬†¬†¬†¬† Where necessary for OpenX's legitimate interests, as listed below, and where our interests are not overridden by your data protection rights.¬† This may include:

o¬†¬† Conducting background checks, and in particular collecting details of professional registrations.

¬†

o¬†¬† Protecting our legitimate business interests and legal rights.¬† This includes use in connection with legal claims, compliance, regulatory, auditing, investigative and disciplinary purposes (including disclosure of such information in connection with legal process or litigation) and other ethics and compliance reporting requirements.¬†

o¬†¬† Maintaining the security and integrity of our facilities, equipment and electronic platforms.¬† This includes administering access rights, monitoring compliance with company protocols, and where permitted by local law and in accordance with relevant policies, for investigations and disciplinary actions.

‚óŹ¬†¬†¬†¬†¬†¬†¬† Where necessary to comply with a legal obligation.¬† This may include disclosures to law enforcement agencies or in connection with legal claims, or regulatory purposes (including disclosure of such information in connection with legal process or litigation).

‚óŹ¬†¬†¬†¬†¬†¬†¬† Where you have given consent. Please remember that you are never required to give consent whenever we ask for it. It‚Äôs always given on a voluntary basis. For example, we will ask for your consent to take part in future recruitment processes conducted by OpenX.We may also ask for your permission to conduct a criminal background check or ask you questions related to demographic information which help us support diversity and inclusion programs.

We may also process your personal data on the basis of consent as required in certain jurisdictions. For example, if you apply to a position in Poland, we may ask for your permission to check references from previous employers. Also, by providing us with certain data that we do not request from you (e.g., your photo), you give us your consent for their processing.

Disclosure to third parties

Where necessary for business purposes, we may share your personal information with the following OpenX affiliated companies listed here.

Personal information may be shared with government authorities and/or law enforcement officials if required for the purposes above, if mandated by law, or if required for the protection of OpenX's legitimate interests (such as for the purpose of pursuing claims and defence against claims) in compliance with applicable laws.
Personal data may also be shared with third party service providers who will process it on behalf of OpenX for the purposes described above. This will include, specifically, our applicant tracking vendor who provides software that helps us manage the applications.
Additionally, we may receive personal data about you from recruitment agencies. We may also share very limited information about you with such entities (e.g. your public social media profile on LinkedIn). Agencies that share data with us will act as separate data controllers and may have their own policies that govern how they collect and use your data. To fully understand how your data is being processed, you should always carefully read the privacy policy of a recruitment agency you engaged with.
If OpenX or any of its affiliated entities is sold or integrated with another business, your details may be disclosed to OpenX advisers and any prospective purchaser's adviser and will be passed to the new owners of the business.

Retention of your data
We will retain your personal data in a form that identifies you for no longer than is necessary for the purposes needed for the application.
If your application is successful, the information provided may be retained for purposes of your employment.

If it is not successful and you have provided us with consent to retain your data for future recruitment purposes, we retain your data for the period of 2 years after the end of the recruitment process for the position you last applied for.Without your consent for future recruitments, we will retain your personal information for a reasonable time (no longer than 1 year) after the end of the recruitment process for the position you last applied for, so that we can repeat the recruitment process if needed orto address any misunderstandings between us and you.

Use of Cookies
You most likely visited our website in order to apply for a job opening. On our website, we use cookies to collect information about your online activity. Cookies are small pieces of information sent by a web server to a web browser which allows the server to uniquely identify your browser on each page. To learn more about the categories of cookies that we use on our website please review our Cookie Policy.

Your Rights
For Applicants within the European Union
You have the right to ask OpenX to rectify, block or restrict access to, complete, and delete your personal data. You can also ‚Äėport‚Äô your personal data (that is, to ask us to provide it to you in a structured, commonly used and machine readable format and to transmit it directly to another organisation). You have the right to request access to your personal data and further information about the handling of your personal data.
In some circumstances you can also object to our processing of your data and, where we have asked for consent to process your data, at any time you may be able to withdraw that consent.¬† Please note that withdrawing your consent will not impact the lawfulness of the processing before you withdrew the consent.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit.
However, there are exceptions to these rights. For example, access to personal data may be denied in some circumstances if making the information available would reveal personal information about another person or if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain data, even if you withdraw your consent, where OpenX can demonstrate that it has an alternative legal basis to process your data. We will inform you of relevant exemptions we rely upon when responding to any request you make.

If you have unresolved concerns, you have the right to complain to a data protection authority in the country where you live, where you work or where you consider that a breach of data protection has occurred. You‚Äôll find contact details for your data protection authority here if you are an EEA based individual or here if you are a UK based individual.

We have carried out balancing tests for all the data processing we carry out on the basis of our legitimate interests. You can obtain information on any of our balancing tests by contacting us using the contact details set out below.

If you would like to exercise any of the rights listed above, please reach us here.

Transfer outside EEA
We operate globally, and in many cases need to transfer your personal data internationally, including to the United States and United Kingdom for the purposes outlined above. Your personal data will be transferred to and processed by your OpenX contracting entity.
When transferring personal data to countries outside the EEA, we comply with European Union law by using Standard Contractual Clauses approved by the European Commission or by adopting other adequate safeguards. A copy of the relevant mechanism can be obtained for your review on request by using the contact details below.
For Applicants within the United States
Depending on the jurisdiction in which you live, you may have the right to ask OpenX to delete certain of your personal data, correct inaccurate personal data, and provide you with access to your personal data.
OpenX does not share or sell personal data collected from applicants for valuable consideration.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit. OpenX will never discriminate against you for exercising your data subject rights.
However, there are exceptions to these rights. For example, access to your personal data may be denied in some circumstances if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain your personal data, even if you request that it delete such data, where OpenX can demonstrate that it has a legal obligation to retain it or is otherwise entitled to do so. We will inform you of relevant exemptions we rely upon when responding to any request you make.

If you would like to exercise any of the rights listed above, please reach us here or at (855) 231-3834.

Updates to this Privacy Notice
This privacy notice may be updated periodically to reflect changes in our data practices. We will post a notice on our applicable websites, applications or materials to advise of any significant changes to our Privacy Notice and indicate in the notice when it was most recently updated.
Contact Us

The data controller, business, or equivalent entity that controls how your data will be processed is the OpenX entity to which you apply. A list of all OpenX affiliated entities is available here.

If you have a privacy question, concern or request, please contact our Data Protection Officer at dpo@openx.com or reach us here.


Lead Senior Data Scientist

Company Overview

At Wisetack, we’re building financially-responsible consumer lending products that help service-based businesses thrive.

Founded in 2018 by a team of experienced fintech veterans whose prior experience includes PayPal, LinkedIn, Lending Club, Affirm, Amazon, and other leading companies, Wisetack is a well-funded early stage startup with strong early customer traction. We’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures, investors in Airbnb, LinkedIn, Instagram, Dropbox, and many more.

We raised a $45M Series B last year and since then, we've invested in our people and technology and signed a slew of new partnerships. This is a fun stage in any company's lifecycle where we've got the core foundation built, a healthy growth rate, and a clear path to success, but you'd still be joining early enough to help shape the future of the company.

Business Insider recently named us one of the 70 most promising startups changing the world of finance and LendIt just named us as the winner in the Best Emerging Lending Platform category for their Fintech Industry Awards. The external recognition is great, but we're equally -- if not more -- happy with the recognition from our customers. Our current NPS rating is a sky-high 78. We're proud that we're building a product that customers love.

As a Lead / Senior Data Scientist you will use your quantitative skill set, obsession and empathy towards customers, and collaborative spirit to work closely with partners across Wisetack’s business to provide data driven insights that take our product and business to the next level. We will level this role to Lead or Senior depending on experience.

Your analyses will allow us to deeply understand our customers’ behaviors and needs, identify drivers of our business, and uncover opportunities to grow and engage with our customers. Ideally you are highly skilled in experimentation, causal inference, and data science modeling, with a specialization in one of these domains.

Job responsibilities

Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals
Generate new hypotheses and business questions using a deep understanding of our data, our customers and our business, then design experiments, analyses, and data science models that drive product engagement, customer satisfaction, and growth
Provide technical guidance and mentorship on solution design as well as lead code/design reviews
Drive our maturity and scale through architecture, data modeling, and analytic tool/platform recommendations

Candidate requirements

M.S. or Bachelors degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
To qualify for the Senior level role, you must have at least 3 years of hands on experience optimizing product engagement, marketing spend, business development activities and/or customer service though machine learning models and/or experimentation and causal inference, ideally at a FinTech - if you have additional experience, we will level this role to Lead
Advanced SQL expertise
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
Strong sense of ownership to understand and communicate the actionable insights and recommendations that will drive strategic improvements, product engagement, customer satisfaction, and growth
Strong communication skills, with the ability to collaborate with various teams across an organization as well as present data insights and recommendations to executives and non-technical audiences
Experience working with data sets that can be thin, meaning reaching statistical significance can be difficult and creative analytic approaches might be needed
Can initiate and drive projects to completion independently
Comfortable in an entrepreneurial environment, with its fast pace and fluid nature - delivering results with a small, lean team

Wisetack is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from the Wisetack office in SF, and may occasionally travel to the Wisetack office or elsewhere for required meetings or team-building events.

Spend a little time on our About Us page researching our team and our values, and check out our Press page and our blog for more background on what we do. If you think this might be a fit, we’d love to hear from you!


Head Of Data Science

Hi, we’re Gravie. Our mission is to improve the way people purchase and access healthcare through innovative, consumer-centric health benefit solutions that people can actually use. Our industry-changing products and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.

We’re looking for a Head of Data Science who will be central to Gravie’s efforts to reinvent health insurance.  This newly created position will be responsible for building and leading a function that develops and applies advanced analytics, machine learning, and artificial intelligence across Gravie’s business.  You will drive data science innovations that are key to designing, creating, and managing Gravie’s member-centric and technology-driven health benefits that improve the way people purchase and access healthcare.

You will:
·       Build a company-wide data science function, with initial emphasis on driving value in underwriting (including pricing and risk assessment), product design and performance, and care navigation.  You will incorporate methodologies from the realms of statistics, machine learning, and artificial intelligence.
·       Draw upon your deep industry expertise, analytical acumen, and intense curiosity to investigate and synthesize diverse datasets -- including demographics, actuarial and underwriting models and analyses, plan designs, claims, medical and clinical data, and more -- to derive insights.
·       Lead and build teams to manage and drive data science initiatives – and also roll up your sleeves and dig in as needed to design, build, and deliver analyses, models, and insights.
·       Build both a culture and infrastructure of exploration, research, and development that can be translated into meaningful improvements to Gravie’s business and improvements to our customers.
·       Blend traditional and novel approaches in your work, bringing insights on promising trends in data science and analytics across industries.
·       Extend and enhance current lines of inquiry, and develop and lead new and more robust areas for research and development.
·       Source and integrate new datasets that will improve insights.
·       Collaborate with other teams, including, product strategy, engineering, underwriting, actuarial, finance, reporting, and leadership teams, to understand and identify business needs and deliver insights.
·       Ask and answer the right questions, including:  How are we doing?  What should we continue doing?  What should we stop doing?  What should we start doing in the future?
·       Communicate results to stakeholders across the business including senior leadership and recommend courses of action as well as avenues for further inquiry.
·       Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented.

You bring:
·       Outstanding analytical aptitude and problem solving skills
·       An advanced degree (or equivalent certification) in mathematics, statistics, actuarial science or a related field
·       Intense curiosity with a drive to get to the bottom of things
·       A love of finding new and better ways of doing things
·       Experience successfully leading and growing high-performing teams
·       Technical fluency with relevant software and systems
·       Excellent attention to detail
·       Habits of excellent organization, time management and responsiveness
·       A flexible attitude and ability to work independently with limited direction
·       An appetite for learning and quickly putting what you learn into practice

Extra credit:
·       Previous start up company experience

Where permitted by applicable law, candidates must be fully vaccinated or be willing to be fully vaccinated for COVID-19 by date of hire to be considered for a job at Gravie.


Senior Data Science Manager Merchant Services Retail Growth

About the role
Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.
As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.
For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:
Help drive customer acquisition, growth and activation to help us help merchants around the world
Use data to gain insights and drive decisions in growing a customer base
Lead a large team across multiple time zones and work cohesively to achieve shared goals
Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail
Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences
Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing
Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals
Leverage deep industry knowledge to create broad awareness of the possibilities using data
Qualifications
You will need to have:
5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts
Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation
Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds
Applied experience working with large datasets both as an individual contributor and a leader
Familiarity with design and analysis of controlled experiments (A/B testing)
Hands-on experience with data querying languages (e.g. SQL)
Experience leading managers and senior individual contributors
Deep understanding of the Python programming language (strongly preferred)
This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist Shop

About the role
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
It would be nice if you have:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.  We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Data Scientist

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
3+ years of experience as a Data scientist. Domain experience in e-commerce, marketing or SaaS would be a plus.
Bachelor’s or Master’s degree in Information Technology, Mathematics, Computer Science or equivalent is preferred
Extensive experience with Python or Pyspark and software engineering fundamentals
Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders; Masterful data storytelling and strategic thinking
Strong sense of ownership and growth mindset; self-motivated and able to thrive in a remote environment
Excellent communication skills
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. Closing date: Friday, May 13 at 11:59PM EDT. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Data Scientist

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances.  We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.

The company is a fast-growing fintech that has been recognized numerous times as a best workplace.  If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.

Marlette celebrates diversity and equal opportunity.  We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.

At Best Egg we believe everybody should have the opportunity to enjoy life.  As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.

Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.

Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

Duties and Responsibilities

Partner with various business units to develop machine-learning models to optimize targeting / underwriting / pricing / customer services / fraud and verification strategies.
Collaborate with business stakeholders to identify risks and opportunities using data and machine-learning models.
Take ownership of a rich library of machine learning tools and enjoy authority to continue to research efficient and effective strategies.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and models.
Play with end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
From time to time, be involved in search of relevant big data and in assessing 3rd party vendor’s capabilities.
Enjoy a culture rich in learning and frequent small wins, our Data Science team is small and contributes insights to decisions made across the entire business.

Requirements

You should have a Master or PhD in quantitative fields, preferably Math, Physics, Engineering, Computer Science or Data Science.
You should have a solid foundational understanding and experience of the technical aspects of Data Science – statistics, machine-learning techniques and big data query/manipulation (structured and un-structured), be familiar with at least one of the machine learning languages. Knowledge in Amazon Sagemaker is a plus
Experience in at least one of the following is required: adaptive models, web scraping, deep learning, chatbot, NLP, recommender system, network graph, credit risk, marketing mix/attribution, time series modeling or image processing.

Able to communicate with business partners for modeling needs, sample design and planning.
Self-motivated and high creativity in problem solving; ability to present models to business stakeholders in an easy-to-understand format.
Freestyle thinker; Ability to work in a fast-paced and fast-changing environment.
Enjoy a culture rich in direct communication, no politics, continual learning where we celebrate success and have fun too.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Brand:

At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.

Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team.  If you are interested in helping us, you can apply HERE


Data Scientist

About Veho

Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.

Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.

The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.

Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating. With teammates in 30 U.S. states, Veho will be in 50 markets by the end of 2022.

About The Role

Data scientists use data to shape the direction in which companies grow. At Veho, we are looking for someone to be the primary partner for cross-functional stakeholders to understand our ground operations performance. When a metric is ahead or behind expectations, you will help to dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success. You will also be tasked with forecasting and opportunity sizing to help business stakeholders evaluate trade-offs in different approaches, and create realistic targets for driving business performance.

Responsibilities Include:

Build, maintain, monitor, and improve numerical model pipelines in one or multiple areas of Data Science expertise, such as machine learning and linear programming
Developing custom or improving existing data models using predictive modeling to increase and optimize customer experiences, ground operations, and other business outcomes.
Design and implement non-technical reports that detail the successes and limitations of each project, inclusive of data acquisition, pre-processing, and analysis
Utilizes predictive modeling to run classification, regression, segmentation, NLP, and time-series models to address business needs.

What You Bring:

Minimum 3 years experience as a data scientist.
Proficiency in R or Python, where the former is preferred.
Be familiar with structured/unstructured data
Exposure to big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via SQL and data pipelines
Industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data
Competent in machine learning principles and techniques.
Demonstrable history of devising and overseeing data-centered projects.
Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
Bachelor's degree (Masters preferred) in data science, mathematics, physics, statistics, computer science, or similar.

 #LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.  Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.


Solutions Data Science Internship

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

The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Solutions Data Science Intern to join our team. In this role, you’ll work with our solutions team to build data analytics and statistics visualizations corresponding with client requests. This is a full-time internship for a period of two to three months with the possibility of converting to full-time employment.

What You'll do

Collaborate with an interdisciplinary team of data scientists on cross-functional projects, interpreting data, and translating into actionable insights.
Support an international team of researchers in designing and testing supply chain models.
Work with and support domain experts and data scientists in different projects.
Query and analyze large datasets in accordance with client requests.
Perform data sanity checks to ensure data integrity and summarize data to provide meaningful insights.
Build easily digestible and reproducible visualizations for the data summaries.

Qualifications and Experience

Pursuing Ph. D. or MS in computer science, statistics, mathematics, or related fields.
Experience in supply chain risk analysis and operations research.
Network analysis background highly desirable
Exposure to coding, Python or MATLAB proficiency highly preferred

Nice to Haves

SQL or Snowflake experience
Domain knowledge of natural disasters
Experience in large scale simulations

Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Staff Data Scientist

Responsibilities

Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business

About you

Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Ability to formulate business problems into quantitative objectives and developing methodological solutions

Requirements

MS/PhD in math, statistics, computer science, or other quantitative field
5+ years of experience in developing ML/statistical models in an applied setting
Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
Knowledge of data mining, and big data analytics techniques
Experience with big data processing pipelines and orchestration tools
Mastery in SQL or other big data processing languages
Experience with one of the programming languages such as Python, R, Java, Scala

Preferred

Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda

Check out our Engineering Blog!


Senior Data Scientist

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the data mining algorithms, and data analytics pipelines at Bolt. We’re looking for someone with the experience, creativity, and passion for producing world-class technology who can support our product, leadership and marketing teams with insights gained from analyzing our data. Other teams at Bolt, other companies, and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Check out our Engineering Blog!
Responsibilities

Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business

About you

Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Ability to formulate business problems into quantitative objectives and developing methodological solutions

Requirements

MS/PhD in math, statistics, computer science, or other quantitative field
3+ years of experience in developing ML/statistical models in an applied setting
Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
Knowledge of data mining, and big data analytics techniques
Experience with big data processing pipelines and orchestration tools
Mastery in SQL or other big data processing languages
Experience with one of the programming languages such as Python, R, Java, Scala

Preferred

Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda,


Senior Data Scientist

About Homeward
Buying a home should be an exciting milestone. But all too often, it’s stressful, especially in a competitive market or when you’re buying and selling at the same time. So we’re redesigning the home-buying experience. We’re a fast-paced real estate startup that empowers agents to help homebuyers buy with cash. We buy homes on behalf of our partners’ clients with our cash, then the client buys the home back from us.
Founder and CEO Tim Heyl, a 10-year industry veteran and owner of one of the fastest-growing agent teams in the country, started Homeward in 2018. In fact, he bought our first customer’s home with his own life savings. Today we offer two services — Buy with cash and Buy before you sell —  in Texas, Colorado, and Georgia.
We’ve raised more than $160MM in equity capital from top-tier venture investors, including Norwest, Blackstone Alternative Asset Management, Adams Street, Javelin, and LiveOak. Our leadership team includes experts from the real estate, mortgage, and technology industries.

About the Role
We're seeking a Senior Data Scientist to help us build a simpler, more customer-centric experience in partnership with real estate agents.  Data at Homeward is a crucial part of our mission to streamline the home buying and selling process.  From dimensional modeling and pipelines to machine learning products and decision support, data science at Homeward is a diverse role with many opportunities to positively impact our success.
This position is not eligible for visa sponsorship.

Responsibilities:

Partner with data engineering and analytics teams to drive data-driven decision making throughout the business and define the data models required to support it
Proactively identify and champion projects that solve complex problems across multiple domains
Work with product managers and analysts to design and build solutions that fulfill operational and reporting needs throughout the company.
Design, train, and implement machine learning algorithms to automate or augment human decision making and business processes
Leverage predictive models to optimize customer experiences
Define and advance best practices within data science and product teams

Requirements:

5+ years experience working on a small, tight-knit, high-performing data team, or 3+ years plus a PhD in a related STEM field
Advanced statistical knowledge, and the ability to gather insights and influence decision-making using data
Advanced working knowledge of SQL and database structure and modeling
Experience with Python and software engineering fundamentals
Experience launching productionized machine learning models at scale
Prefer experience with cloud-based PaaS and IaaS offerings (most notably AWS)
Ideally, familiarity with data in the real estate domain (i.e. MLS data)

Values
Golden Rule
“Treat others how you want to be treated.” We’re building our company culture and customer experience with this as the guiding principle. It’s a simple rule, but emphasizes that we  don’t prioritize money or growth over people.
Calm Focus
We don’t chase every opportunity and rush from urgent task to urgent task. We relax, stay calm, and focus on our company-wide objectives. If something is out of scope, we say “no”. If something feels rushed we slow down and think it through so we can avoid unnecessary rework later.  We don’t bombard each other with notifications expecting instant response times. We block off time for deep work so we can get into the flow and create solutions our customers love. Multi-tasking isn’t effective or enjoyable.
Cross Functional Collaboration
We look at our customers’ experience holistically and recognize that improving it requires support from multiple functions. Given this, we’re excellent collaborators. No function is more important than another and we’re eager to work as a team to solve our customers’ toughest problems. We value strong internal alignment, and take pride in understanding and considering our  teammates' perspectives before expressing our own.


Data Scientist Ii

Braze is seeking a Data Scientist to join our Growth team to automate and optimize our customers’ growth and retention programs through ML-assisted decision-making, and prediction.
At Braze, we don’t just use machine learning to build models, we’ve built an on-demand ML model delivery platform to help our customers take advantage of the billions of users and hundreds of billions of data points that flow through our systems.
You will help discover the scope of what is possible with machine learning and AI in our systems, test and validate new predictive and statistical features, and tailor complex AI workflows for easy use by non-technical users. You will help build processes for maintenance and monitoring of these tools as well as for management and sharing of model code and testing.
WHAT YOU'LL DO

Collaborate with Engineering, Product, and Data Consultants to build innovative ways to leverage data and automate decision-making for our customers.

Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals.
Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised or unsupervised learning, neural networks, or simple regressions
Build processes to help catalog, maintain, and share the above with fellow data scientists and engineers

WHAT YOU HAVE

Masters in Computer Science, Applied Mathematics, or similar computational field or equivalent experience
Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI, neural networks in a production setting
Fluent in Python
Experience with frameworks such as TensorFlow, PyTorch, or similar
2+ years of software engineering experience
Proficiency with relational databases
2+ years working with cloud or distributed systems

Bonus:

Publication record in machine learning, artificial intelligence, or similar algorithmic fields
Familiarity with document-based databases


Senior Data Scientist

Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

Cherre is looking for a Senior Data Scientist who will be building ML algorithms and AI. This role requires a combination of quantitative and software engineering skills to build scaleable solutions. Because of the complexity  and variety of the data sets we use, it's critical that you have an interest in learning Real Estate and Derived datasets. Previous Real Estate experience is not required. You will not only do analysis, but will also be expected to deliver production code.

We are remote-first company. This role is open for #BI-Remote or #Hybrid

You Have

Proven record of delivering successful data science projects.
3+ years of industrial software engineering experience with an emphasis on data-centric technologies.
Advanced degree in a STEM field.
Practical knowledge of cloud computing ecosystems (AWS, Azure, Google Cloud).
Fluency in Python and SQL. Experience with PySpark is a plus.
Excellent communication skills, and an ability to explain your work to customers

Benefits

Competitive Base Salary
Equity
Range of Healthcare Plans
Paid Parental Leave
Educational Credit
Unlimited Vacation
Flexible Work Schedule

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!

“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson

Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.


Data Scientist Customer Insights

Company Overview
Farmers Business Network®  (FBN®) is on a mission to power the prosperity of family farmers and rural communities around the world, transforming how the world farms with an integrated, technology-enabled agricultural platform.
We offer high ROI farm inputs, fintech and sustainability products and services powered by network data, and farm-tested insights from our global farmer community.  Our platform helps FBN® members make confident decisions to ensure the economic viability of their farms, while also empowering them to be a part of the solution as the global community confronts its most pressing issues: providing food security for a growing population, transitioning to more sustainable agriculture, and responding to climate change.
We are a dynamic, innovative, and mission-driven AgTech company that offers competitive compensation and benefits as well as boundless career mobility. We are backed by top investors, including Fidelity, ADM, Google Ventures, Kleiner Perkins, DBL Partners, T Rowe Price and Temasek. We have been featured in these articles by the Wall Street Journal and Forbes, and were also named "One of the 50 Most Innovative Companies in the World" by Fast Company Magazine.
THE ROLE
How can we sustainably feed the world? With the population set to reach nine billion by 2050 and available farmland decreasing, the odds are stacked against us. This problem falls squarely on the shoulders of farmers, who are increasingly working harder for less. FBN helps farmers to solve these problems.
Farmers are often forced to make key decisions in the face of significant uncertainty about their impact. FBN applies technology and data science to this challenge. We're building the world's largest agronomic dataset - made up of billions of data points, gathered from sophisticated sensors on farm equipment. The network effect of farmers sharing their data allows us to deliver unprecedented analyses that help farmers make data-driven decisions - we're not just building new technology, we're also making new agricultural scientific discoveries.
Data science underlies every product that we build at FBN, so you'll see your work directly translate into new products for our farmers. The Data Science Team at FBN:

Explores one of the world's most unique, interesting, and diverse datasets
Furthers scientific understanding about what affects agricultural production
Uncovers insights that help farmers efficiently support a growing population
Makes meaningful improvements in the world by translating data science into products that help farmers increase yield and efficiency

We're looking for a Data Scientist, Customer Insights to help us better understand our farmer customers. More specifically, this role will:

Lead the data science track of our cross-functional [Customer Insights team]

Dive into the data to discover what makes our farmer customers tick, what keeps them up at night and inform how we can connect them with the right products at the right time.
Leverage diverse data types (behavioral, demographic, market, etc.) to develop data-driven customer segmentation.
Package and communicate compelling analyses that inform our marketing strategies, product personalization and growth efforts.
Build scalable data pipelines, models and frameworks that help our teams better serve our farmer customers.
Design, implement and analyze hypothesis-driven experiments to optimize the performance of our targeted marketing and product personalization efforts.

Required Skills

5+ years working with customer data (e.g., digital engagement, marketing campaign response, behavioral, demographic, etc.) to drive key business outcomes
Experience building and or leveraging unique and proprietary data systems that combine data from many sources (e.g., public, private, user, derived insights) to drive business outcomes.
Deep understanding of statistical modeling concepts
Familiarity with machine learning algorithms
Excellent programming skills (R or Python preferred)
Familiarity with cloud computing and version control

 Required Experience

MS or greater in statistics or related discipline

The following represents FBN's reasonable estimate of the US national average base salary range of possible compensation for this role based on market data and placement of internal employees: $120,000 - $135,000.
This salary range may vary based on geography and variations in cost of labor. Beyond the above or adjusted to market salary range, FBN also offers all full-time employees competitive equity compensation, health and wellness benefits, and various perks.

FBN is proud to be an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FBN considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here.

FBN is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please email fill out this form.

#LI-REMOTE


Data Scientist

COMPANY OVERVIEW
Proudly Farmers First℠!
What do you get when you cross the best of Silicon Valley innovation and technology with the value driven mission of Family Farmers around the world?
Farmers Business Network, Inc. (FBN℠)!
FBN℠ was created by farmers for farmers and is on a mission to power the prosperity of Family Farmers around the world by leveling the playing field through insights, commerce and community. Our goal is to enable them to make smart business decisions that maximize their farms profit potential for generations to come, helping to ensure the fundamental economic viability and sustainability of family farms and rural communities.
We are a dynamic, and innovative AgTech company that offers competitive compensation and benefits and is backed by top investors including Google Ventures, Kleiner Perkins, DBL Partners, T Rowe Price and Temasek.
THE ROLE
How can we sustainably feed the world? With the population set to reach nine billion by 2050 and available farmland decreasing, the odds are stacked against us. This problem falls squarely on the shoulders of farmers, who are increasingly working harder for less. FBN helps farmers to solve these problems.
Farmers are often forced to make key decisions in the face of significant uncertainty about their impact. FBN applies technology and data science to this challenge. We're building the world's largest agronomic dataset - made up of billions of data points, gathered from sophisticated sensors on farm equipment. The network effect of farmers sharing their data allows us to deliver unprecedented analyses that help farmers make data-driven decisions - we're not just building new technology, we're also making new agricultural scientific discoveries.
We're looking for data scientists who are enthusiastic about applying big data to help farmers!
Data science underlies every product that we build at FBN, so you'll see your work directly translate into new products for our farmers. The data science team at FBN:

Explores one of the world's most unique, interesting, and diverse datasets
Furthers scientific understanding about what affects agricultural production
Uncovers insights that help farmers efficiently support a growing population
Makes meaningful improvements in the world by translating data science into products that help farmers increase yield and efficiency

Required Skills

5+ years working with pricing, macroeconomic, ecommerce and/or supply chain data to drive key business outcomes
Deep understanding of statistical modeling concepts
Familiarity with machine learning algorithms
Experience with time series analysis and demand forecasting / demand planning
Excellent programming skills (R or Python preferred)
Familiarity with cloud computing and version control
Preferred: Experience with geospatial data science tools (e.g., Google Earth Engine; Python: gdal, shapely, rasterio, geopandas; R: raster, rgdal, sf)
Preferred: understanding of agricultural systems (soil chemistry, plant physiology, entomology, etc…)

 Required Experience

MS or greater in statistics or related discipline

FBN is proud to be an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FBN considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here.

FBN is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please fill out this form.

#LI-REMOTE


Arity Data Scientist Sr Researcher

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
Job Description
Job Qualifications
The Team
At Arity, our Data Science team is at the core of helping us transform mobility. Not only do we know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties, but we are passionate about how it affects the end-users of our products. On our team, people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products that make transportation smarter, safer, and more useful for everyone.
The Role
As a Data Scientist Researcher at Arity, you will be a key contributor to the Data Science Research team, a focused group within the larger Data Science team, that looks towards the future of telematics to anticipate the needs of our clients in 1-3 years. This newly created team is responsible for tackling our toughest data and analytics challenges and prototyping solutions that can be brought to market by our product segments. Reporting to the Expert Researcher who leads the team, you will bring fresh perspectives to this portfolio of work using a blend of techniques and tools. Your experience in your studies or at a previous company will help the team innovate and push boundaries. You will get to learn from more senior researchers and contribute to a strong work ethic within the team.
Responsibilities
Help the Data Science Research team manage its portfolio by finding and scoping new projects that could benefit various parts of the Arity strategy
Make technical contributions to the Data Science Research team by building models, pipelines, or prototypes and reviewing the contributions of others
Support the Data Scientist Community of Practice bringing together practitioners across the team to drive improvements to current practices and collaborate
Bring in outside viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Qualifications
Subject matter expertise in data science gained from academic studies and experience as a data scientist or researcher in industry
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Knowledge of the landscape of statistical and machine learning techniques and proven ability to navigate it to find the right approach and manage trade-off’s
Proven ability to drive technical projects with little guidance and lots of self-motivation
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge of telematics, insurance, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Salary for this role is between $108,000 - $160,000
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Marketing Data Scientist

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
This position is part of an team responsible for leveraging data and analytics to answer complex questions and influence business strategy through communication of findings to senior management. Responsibilities include compiling, cleansing, organizing and analyzing complex data to understand business results. The ability to communicate and present findings and recommendations to the team and management is also critical.
This job does have supervisory duties.
Key Responsibilities:
• Compiles, cleans, organizes and analyzes complex data to understand business results• Establishes, modifies, documents and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics• Utilizes data and analytics expertise to coach and develop less experienced analysts• Makes the business insights derived from data and analytics accessible to those without technical skills• Provides technical expertise• Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management• Communicates and presents project information to team and provides presentations/updates to management• Influences strategy through data and analytics
Education and Experience:
• Bachelor's Degree in Math, Statistics, Finance, Business, Economics, IT or related field preferred, or equivalent experience• 3 years of data and analytics experience • 2 years of insurance experience preferred
Functional Skills:
• Advanced analytical and problem-solving skills• Experience in different programming languages such as SQL and R• General insurance knowledge• Strong communication skills, both written and verbal• Experience working with Big Data
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Arity Data Scientist Expert Researcher

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
At Arity, our Data Science team is at the core of helping us transform mobility. Not only do we know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties, but we are passionate about how it affects the end-users of our products. On our team, people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products that make transportation smarter, safer, and more useful for everyone.
The Role
As the Data Scientist Expert Researcher at Arity, you will lead the Data Science Research team, a focused group within the larger Data Science team,  that looks towards the future of telematics to anticipate the needs of our clients in 1-3 years. This newly created team is responsible for tackling our toughest data and analytics challenges and prototyping solutions that can be brought to market by our product segments. You will manage this portfolio of work, build the team, and own its vision and roadmap. Your experience in multiple companies and domains will lend itself to helping our teams improve their technical capabilities. You will consult on DS/ML architecture and patterns to help teams avoid common pitfalls in data science projects. As the senior most technical data scientist within Arity, you will advocate for the needs of data science broadly, lead the entire data scientist discipline by example, and coach and mentor across the team.
Responsibilities
Accountable for the building & evolving the vision, strategy and roadmap of the Data Science Research team and hiring and managing the data scientists / researchers on this team
Make strong technical contributions to the Data Science Research team as a player-coach by building models, pipelines, or prototypes and reviewing the contributions of others
Encourage risk taking and innovation while keeping an eye towards business value
Influence broader organizational and technological change to facilitate easier adoption and integration of data science initiatives
Lead the Data Scientist Community of Practice bringing together practitioners across the team to drive improvements to current practices and collaborate
Consult across product teams on DS/ML architecture, patterns and best practices
Bring in outside viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events. Help shape Arity’s approach to creating a strong external presence
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Qualifications
Deep subject matter expertise in data science gained from academic studies as well as significant experience as a top echelon data scientist or researcher at multiple companies
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Demonstrated capability of building highly complex data science prototypes to prove technical feasibility and demonstrate business value and driving prototypes into production
Broad knowledge of the landscape of statistical, and machine learning techniques (both traditional and deep learning) and proven ability to navigate it to find the right approach and manage trade-off’s
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Passion for technical mentorship across the larger team, and ability to manage a few highly self-sufficient technical contributors
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge of telematics, insurance, geospatial, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
The salary range for this level position is $134,800 - $202,000.  The salary offered is commensurate with experience.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Senior Data Scientist Wind Resilience

About One Concern

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

The Role

One Concern is growing rapidly, and we are looking for a passionate, mission-driven Senior Data Scientist, Wind Resilience to join our team. Help us develop a global-scale resilience prediction model against natural disasters, focused on wind resiliency. Apply technology and knowledge to enhance the resilience of the business, community, and people.

What You'll Do

Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new approaches and data sources.
Identify key problems in prediction models and propose innovative solutions.
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights

Qualifications and Experience

Ph. D.  or MS in structural engineering, civil engineering, mechanical engineering, or related field.

2+ year of industry experience in risk modeling/assessment
Strong background in statistics, probability theory, machine learning, and quantitative analytics (coursework or experiences)
Domain knowledge of wind resilience modeling
Experience in wind vulnerability model developments (machine-learning models or statistical models)
Hands-on experience in performing data analytics for a large set of data
Ability to work independently as well as in a team environment
Proficient in Python

Nice to Haves

Experience in infrastructure vulnerability assessment
Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Strong publication record

Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.