Senior Data Scientist

OpenX Technologies, Inc. is looking for a Senior Data Scientist or Machine Learning Engineer to join our team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. This data volume demands cutting-edge applications of sophisticated models, deep learning, and novel platforms to function efficiently and provide the best value for our customers.

We’re looking for data scientists who are experienced with systems that blend deep learning, optimization, and statistical insights to achieve the best possible business outcomes. The ideal candidate has a creative mind which they put to use by constructing models tailored for prediction with high dimensionality data sets — we are looking for those who can translate requests from business and product into Data Science / ML problems. They should also be capable of leading and executing on those projects with state-of-the-art advances from the literature while incorporating them into production systems.

If you’re:
Proactive - always want to find a satisfying solution
Persistent - exhibit the skills and attitude to lead a project to success and how to extract yourself from common pitfalls
Creative - researching and developing a solution to challenging problems with large datasets

We want to talk to you.

Key Responsibilities

Extract data from TB-scale datasets and transform it to compact representations which are amenable to use by a wide variety of models
Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
Guiding and developing DS / ML projects from inception to production-level deployment while reporting to stakeholders on progress and challenges
Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development

Required Qualifications & Skills

Ph.D. in Computer Science, Physics, Mathematics, Operations Research or related technical field with 4+ years of relevant experience, or MS with 7+ years of relevant experience
Proficiency in SQL and programming experience in Python
Extensive experience with deep learning and other ML techniques beyond linear regression, particularly in the context of tensorflow and its related applications / environment
Strong track record of nurturing DS / ML projects to maturity with maximal business impact
Mastery of probability and statistics, especially techniques that scale to massive datasets
Strong communication and presentation skills — proficient in analysis and summarization of the key points of a data set or experiment result

Desired Qualifications & Skills

Experience working with a cloud platform like GCP / AWS / Azure, with emphasis on GCP and the Tensorflow / TFX platform
Experience providing mentorship and guidance to more junior employees

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:

●                    contact details (name, address, phone numbers, email, etc.);

●                    qualification details (such as information on your previous work experience or education);

●                    application information (such as expected income, type of job wanted or your availability);

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

●                    any other data you submit to us, including any correspondence between you and OpenX exchanged during the application process;

●                    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.

●        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.

●        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.

●        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).

●        Where you have given consent. Please remember that you are never required to give consent whenever we ask for it. It’s 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 ‘port’ 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’ll 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.


Principal Machine Learning Scientist

Location
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or off-sites. Your hiring manager can share more about this role’s hybrid or remote designation.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join Our Team
GoDaddy is investing heavily in machine learning, and the GDML team supports this effort through both modeling and development of GoDaddy’s modeling platform. We’re looking for an experienced ML practitioner/developer to help us build something great.
What you'll get to do...
Solve impactful, web-scale ML problems and take the solutions from planning to production.
Ideate and implement advanced ML solutions like domain-specific embeddings, custom featurization, and customized language models.
Build a great company-wide ML platform that enables other data scientists and ML engineers to train, validate, deploy, and monitor ML
Mentor teammates in advanced ML and ML engineering practices
Engage with engineering leadership across GoDaddy to define development and production processes for ML creation and deployment.
Recommend architectural patterns to other teams; e.g., consult on the architectural design of ML pipelines for collecting data for ML training and inference.
Collaborate with a distributed team, including pairing, code reviews, identifying opportunities for code refactoring, and defining best practices.
Your experience should include...
7+ years of experience with Machine Learning and Software Engineering
Experience designing and building a platform or libraries for engineers.
Experience with Python, AWS, and CICD platforms (such as GH Actions, Jenkins, Travis, CircleCI, etc.)
Experience with ML Models in production environment
An understanding of the machine learning development lifecycle.
Experience and desire to mentor engineers on best practices and code craftsmanship.
Experience in an Agile software development environment.
You might also have...
Experience designing, building, and shipping backend systems with multiple tiers, including API, caching, and data access layers.
Experience designing data ETL pipelines. Experience using big data related technologies such as Spark, Airflow, and EMR.
We've got your back... Enjoy our many benefits (My Wallet), including paid time off, 401k, equity grants and parental leave. Join one of our employee resource groups (Culture). Continue to have a side hustle, if you have one (we love entrepreneurs, remember?). Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)
GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, creed, sex, sexual orientation, gender, gender identity or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Job ID R015743
GoDaddy's compensation is local to where you are and may vary based on an individual's qualifications at the time of the offer. The anticipated annual base salary ranges for select locations are listed below:
Seattle, New York City -  $156000.00 to $195000.00
Colorado, Washington State -  $133500.00 to $167000.00
Apply NowApply Later


Senior Machine Learning Scientist

Location
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or off-sites. Your hiring manager can share more about this role’s hybrid or remote designation.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Hybrid-or-Remote:  This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for designation.
Join Our Team
Our team is a part of the Worldwide Engineering organization within GoDaddy, and we are looking to hire a Senior Machine Learning Scientist/Applied Researcher experienced with NLP/NLU to join our ML/AR team. Our goal is to build and grow a community of ML scientists and engineers to learn, share, and grow. We are committed to understanding all major business units, and we thrive on empowering business results by leveraging state-of-the-art ML algorithms.
This core Machine Learning/Applied Research team utilizes large-scale data to power various business areas, and a primary goal is to enhance the effectiveness of our team of customer care and sales partners with ML solutions like the self-service chatbot, a customer-centered case management system, and a configurable dynamic routing system to connect our customers with the team member who can answer their questions.
Your contributions will affect millions of customers and have a direct impact on our business results. Our team's challenges include deriving value from sparse data, understanding large scale shopping data to extract and retrieve information, and developing best practices to create the best customer experience and highest customer engagement. GoDaddy has deep and rich data sets, many still untapped, and your real passion for the cutting-edge machine learning algorithms has the power to unlock tangible business growth.
What you will get to do…
You can articulate and understand a business problem, identify challenges, formulate the ML/NLP problem and provide/prototype solutions
You will provide technical leadership, identify, and understand key business challenges and opportunities, and develop end-to-end software solutions using ML/NLP.
You will collaborate extensively with internal partners, program & product management, and engineering teams to ensure that solution meets business needs, emits valid inferences, and is functionally feasible
You will collect and process large volumes of data and build new and improved techniques and/or solutions for data collection, management, and usage
You will communicate results in a comprehensible manner to all levels of the company (field teams up to Senior Management)
You will brainstorm and share knowledge with other team members
Your experience should include…
• MS in machine learning, computer science, or equivalent quantitative field with at least 2 years of industry experience, or PhD in same fields• A background in both machine learning/NLP and software development; hands-on Deep Neural Network experience is preferred• Strong algorithm design and programming skills in at least one low level language like C++/Java, and scripting languages like Python/R/Scala• Experience with distributed computing (Hadoop/Spark)• Passion for solving interesting and meaningful real-world problems using principled techniques and practices• Experience working with live data (data cleaning, data visualization, and modeling)• Passion for collaboration and teamwork• Experience documenting, synthesizing, and communicating results
Your experience may include…
Hands-on experience with Google Dialogflow, Live Engage, Kore.ai, or similar chatbot tools
Defining or implementing chatbot and conversation design best practices
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)
GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information or any other basis prohibited by applicable country or local laws.
If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Job ID R016523
GoDaddy's compensation is local to where you are and may vary based on an individual's qualifications at the time of the offer. The anticipated annual base salary ranges for select locations are listed below:
Seattle, New York City -  $128000.00 to $160000.00
Colorado, Washington State -  $113500.00 to $142000.00
Apply NowApply Later


Manager Data Science And Analytics

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

TaskRabbit is a remote-first company with employees distributed across the USA!
Builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

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

Responsibilities:

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

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

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

Bonus Points:

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

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

You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 50% women
Director Level 86% Diverse
The Values.

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

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

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

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

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


Sr Data Scientist International Growth Market Insights

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
The International Growth team is a tight-knit, true zero-to-one team at Reddit focused on entering markets outside of the US. If delving into different countries and cultures excites you and you’re motivated by how they might use the 4th most popular website in the world, then you’ve found the right place! We have one of the highest user:employee ratios in the industry, giving you a tremendous opportunity for scope and impact.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll have Impact:
You will partner directly with our local market as well as content curation teams to help surface key first party data points in a country and drive a holistic picture of what is happening in a market. This may include surfacing key user demographics and valuable segments, an overview of the growth and content funnels, visibility on key insights related to the content distribution, supply and demand (topics, language, etc) of a given geography, etc. You’ll also work collaboratively with other Data Science and Machine Learning teams such as Marketing Data Science and Content Analytics to evaluate the performance of in-market actions and to leverage their assets (automated content classification, etc). You will be part of key decisions to drive user centricity and accelerate user growth abroad.
What You’ll Achieve:

Partner with local market teams to surface key insights and analytical findings that will help accelerate growth in a specific country
Deliver key dashboards for local teams to scale data findings and unlock the ability for key regions to make timely decisions
Work cross functionally with Content Analytics and Marketing Data Science teams to elevate insights that can inform future country-specific marketing strategies (content and community creation, local campaigns, etc.)
Be the expert on country-level metrics around growth metrics and user segmentation
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

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

#LI-NH1 #LI-Remote


Sr Data Scientist Ads Marketplace Analytics

We are looking for a senior level Data Scientist to work with our Ads product team. You will partner closely with cross functional team leaders such as GPMs, EMs and leadership in utilizing data to drive decision making.  In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data science team, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there are still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:

You will partner with colleagues who have a wealth of experience in online advertising and social networking industries. You will be an integral part of the growth of the Reddit Ads Platform by playing a key role in making data-driven recommendations. You’ll leverage petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.

What You’ll Do:

Build the metrics platform for the Reddit advertising business, including defining metrics, developing dashboards, building ETL processes, and establishing monitoring and alerts.
Help drive the bi-weekly operational review for Ads leadership team.
Conduct in-depth analyses across multiple dimensions to assess the health of the Reddit Ads marketplace and to help shape the strategic direction of Reddit Ads.
Work across all Reddit teams supporting the advertising business, including Product, Data Warehousing, Machine Learning, Sales, Finance, and Marketing.
Contribute actively to build up the knowledge base both within the Ads organization and the wider Data organization.

Who You Might Be:

5+ years of experience in a data analytics or related quantitative role.
2+ years of experience in an advertising platform such as (but not limited to) Google Ads, Facebook Ads, Twitter Ads, or Pinterest Ads.
Understanding of experimentation and A/B testing principles.
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit.
Strong ability to communicate and discuss complex topics with technical & non-technical audiences.
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python).
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker).

#LI-Remote #LI-NH1


Senior Data Scientist Experimentation

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

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

Who You Might Be:

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

#LI-Remote #LI-NH1


Data Scientist

About the Opportunity

Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that.

We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models.

Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.

Key Responsibilities

Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling.

Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements.

Work with data, such as data cleaning, transformation, extraction and loading (ETL), to prepare datasets for further analysis and modelling.

Perform exploratory data analysis, evaluate datasets for business values, and produce easy-to-understand visualizations highlighting key insights.

Use a variety of machine learning techniques to solve product focused business problems.

Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process.

Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy.

Mentor and be mentored by data scientists of varied experience levels and subject matter areas.

Minimum Requirements

3+ years of relevant experience in an analytical role involving data science and statistical modeling

High proficiency in Python and SQL. Bonus points for R, or other scripting languages.

Experience applying advanced statistical models to real world business problems.

Bonus points for experience building data models, and a solid understanding of the “modern data stack”.

Bonus points for experience with Looker, Tableau or other BI visualization tools.

Exceptional written and verbal communication skills.

Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills.

Ability to work as part of a collaborative cross-functional team in a fast-paced environment.

Minimum holding a Master’s degree or above with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field.

Preferred (Nice-to-have) Qualifications

Experience in the life sciences industry

Experience with healthcare data, ideally clinical/operational clinical trial data

Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)

Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)

Salary Range
$115,000 - $120,000


Staff Data Scientist

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identify or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Iowa  - Urbandale
Function: Data & Analytics (CA)
Title: Staff Data Scientist-Remote
Onsite/Remote:Remote Position

Your Responsibilities
As a Staff Data Scientist for John Deere’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.  As a Staff Data Scientist, you will be responsible for helping to lead and mentor other junior and mid-level scientists. Something such as this will help folks in the marketplace to understand the leveling of the role. You will:
Project level responsibility over initiatives that involve mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.
Lead the establishment and prioritization of relevant Engineering action items needed to ensure data is stored efficiently and can support the required analytics.
Manage yourself and up to several other employees in an Agile work environment that contains requirement ambiguity, tight deadlines, and competing priorities.
Work directly with stakeholders to define, quantify, and analyze Key Performance Indicators that define successful customer outcomes for your efforts.
What Skills You Need (Required skills/experiences)
Mastery of and ability to mentor others in developing production-ready models in Python.
Solid ability to mentor others in using one or more data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
Expertise and ability to mentor others in building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Demonstrated competency with Visualization tools such as Tableau, PowerBI, DataStudio, etc.
Demonstrated competency with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Professional level communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes.
What Makes You Stand Out (Desired skills/experiences)
Demonstrated experiencing working with other languages such as R, JavaScript, Scala, etc.
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Familiarity working with and modeling some of the largest distributed datasets in the world
Demonstrated ability to work with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Demonstrated ability creating simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Demonstrated ability leading model validation, measuring model bias, measuring model drift, etc.
Demonstrated ability to collaborate with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Education
Ideally you will have a degree or equivalent related work experience in the following:
Experience equivalent to 10 years in a related field or
Having a Doctorate degree in a related area of study (e.g., Data Science, Quantitative Sciences, Statistics, Engineering, Mathematics, etc.) and 3 years of relevant work experience or
Having a Master’s degree in a related area of study and 5 years of relevant work experience or
Having or a Bachelor’s degree in a related area and 7 years of relevant work experience
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Benefit Pension)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extend authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried and Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.


Senior Data Scientist

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identify or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Iowa  - Urbandale
Function: Data & Analytics (CA)
Title: Senior Data Scientist-Remote
Onsite/Remote:Remote Position

Your Responsibilities
As a Senior Data Scientist for John Deere’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.  You will:
Use data mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.
Develop and deliver insights and recommendations from precision agriculture data for product stakeholders
Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
What Skills You Need
Demonstrated competency in developing production-ready models in Python.
Demonstrated competency in using one or more data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
Demonstrated competency in building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc.
Experience with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes.
What Makes You Stand Out
Additional experience with other languages such as R, JavaScript, Scala, etc.
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Familiarity with distributed datasets
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Experience with model validation, measuring model bias, measuring model drift, etc.
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Education
Experience equivalent to 10 or more years in a related field or
Having a Doctorate degree in a related area of study (e.g., Data Science, Quantitative Sciences, Statistics, Engineering, Mathematics, etc.)  and 1 year of experience or
Having a Master’s degree in a related area of study and 3 years of relevant work experience or
Having or a Bachelor’s degree in a related area and 5 years of relevant work experience.
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Benefit Pension)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extend authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried and Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.


Data Scientist

We believe manufacturing is important not only for what it makes, but for what it makes possible for the world. Manufacturers have an important job to do, and it is our job to provide them with the technology and expertise they need through the entire production process, from discovery and design to manufacturing and fulfillment.

What we are looking for:

As a Data Scientist you will be building models and tooling as part of the manufacturing platform Fast Radius is creating. The key concerns of the data science team range from predicting the cost of parts to helping plan and schedule factory capacity to solving optimization problems around sales and marketing efforts.  You'll play a key role in technical decisions, own the end-to-end implementation, and help internal and external consumers understand your output and reasoning.

Responsibilities & Outcomes:

Work across teams to understand problem requirements and turn them into proper features and models
Develop and maintain infrastructure around model training and model APIs, including ownership of performance
Advise analysts and non-technical teams on issues where data science can make an impact

Qualifications:

4+ years of professional experience in the following areas:
Standard machine learning techniques (random forests, boosted learning, SVMs, etc.)
Familiarity with standard statistical and uncertainty analysis
Familiarity with mechanical engineering processes, including additive, is also a plus
Python or Scala, and SQL
Experience working across functions, including nontechnical departments to gather requirements and ensure understanding

Who we are:  We believe manufacturing is important not only for what it makes but for what it makes possible for the world. Our first-of-its-kind Cloud Manufacturing Platform™ represents a new, more sustainable infrastructure to design, make, and move physical goods in the digital age. Working with companies across a variety of industries – from growing startups to Fortune 500 companies – Fast Radius helps customers with all stages of the manufacturing process from new product development to ongoing part production. We recently became a publicly listed company as the next step in scaling our vision for the future of design, manufacturing, and logistics. Every day you can expect to work in an inclusive environment that makes excellence possible, where great work and ideas matter more than seniority. We believe in experimenting fearlessly and learning from our failures—quickly. Our leaders have grown successful companies before, and they understand that businesses thrive when capable people have the freedom to solve problems without constraints.

What we offer: We want you to come to work happy, healthy, and balanced so you can expect excellent benefits:

- Competitive compensation and bonus structure
- Comprehensive health care including dental and vision
- Generous vacation policy as well as a 401K plan

Fast Radius is proud to be an equal opportunity employer because diverse perspectives make for better products, better processes, and a better company. We encourage applicants from all backgrounds regardless of race, color, religion, sex, sexual orientation, gender identity/expression, national origin, ethnicity, age, disability, Veteran status, or other protected status.

Fast Radius currently is unable to sponsor or transfer visas.

We are currently able to hire residents in the following states: AL, AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, KY, MA, MD, MI, MN, NH, NJ, NY, NC, OH, OR, TN, TX, WA, WV, WI


Data Scientist

SCOPE OF ROLE
Data Scientists at Bright work with teams across the organization to design and build data-driven solutions.  Bright Data Scientists will use advanced analytics to enhance Bright’s health intelligence platform: improving member health, increasing affordability, and making care simpler and more personal.  Examples of DS initiatives include:

Building predictive models for early identification and population stratification
Optimizing targeting for clinical programs
Developing metrics for measuring healthcare quality, outcomes, and network performance

Though individual contributors, Data Scientists must have strong leadership capabilities and experience working in a matrixed environment, with the ability to drive successful development of analytics that support multiple needs throughout a complex and growing organization.
ROLE RESPONSIBILITIES

Build, maintain, monitor, and improve machine learning (ML) models to solve business problems
Collaborate with technology teams (e.g. Data Engineering) to deploy solutions into production environments
Operate in an evolving data environment with a mixture of stable/traditional and new/nontraditional data sources
Work with business stakeholders and members of Product team to identify and evaluate data science opportunities and develop project plans

MINIMUM QUALIFICATIONS

Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, etc.)
Four (4)+ years of progressive data analytics experience
Highly proficient transforming data with SQL
Highly proficient building machine learning models with Python (numpy, pandas, scikit-learn)
Highly proficient using descriptive and inferential statistics to analyze datasets
Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

Experience building models with deep learning libraries (Tensorflow, Pytorch)
Experience transforming large datasets with Spark (PySpark, Scala)
Experience with business intelligence tools (e.g. PowerBI)
Experience working with healthcare data, specifically medical and pharmacy claims


Data Scientist

The Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. This role is expected to access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for the health system. The Data Scientist develops, maintains, and enhances reports that inform internal team members and clients of the performance in several areas including, but not limited to quality, risk, and operational efficiency. In addition, the Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.

About Tendo
Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Responsibilities

Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
Develop analytic data sets and use statistical software to analyze data sets as requested.
Use third party software tools in development of queries and visualizations.
Coordinate with different functional teams to implement models and monitor outcomes.

Requirements

Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, or equivalent technical experience.
Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
3+ years of experience in data analysis software, with data science experience preferred.
3+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
Knowledge of statistical and data mining techniques: GLM/regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Demonstrated proficiency writing SQL stored procedures or queries.
Strong problem-solving skills with an emphasis on data analytics.
Excellent written and verbal communication skills for coordinating across teams.

Nice to Have

Experience in the healthcare setting preferred.
Experience with Epic EMR data preferred, but not required.
Experience with healthcare financials/claims preferred, but not required.

#LI-Remote
#LI-DNI

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.


Senior Data Scientist

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Senior Manager Data Science

Our mission is to build a work platform that saves people time by making the world more productive. Check out our customer stories on how we have enabled thousands of customers to save one day every week!
ClickUp is looking for an exceptional data science leader to own data science exploration and model building at ClickUp. You are an experienced technical leader in leveraging data science and machine learning to create operational efficiencies and drive ROI for a high growth technology company. You thrive when leading a team that collaborates as a community and is distributed across the globe. You are comfortable scaling people, technical capabilities, and processes of a team.
The Role

Lead a team of machine learning engineers, data scientists, and data program managers to deliver operational ML models for marketing, sales, support, product, and engineering stakeholders
Lead the design and implementation of Machine Learning solutions for ClickUp’s operational and product challenges.
Manage the insights and growth experimentation product analytics team to uncover product insights and growth levers for product managers
Build Machine Learning models from millions of accounts stored in a Snowflake data warehouse, validate these models, and present findings to key stakeholders.
Deploy and operationalize models into a production data pipeline and operational systems
Participate in the full ML development cycle: design/experiment, develop, validate, deploy, and analyze.
Lead the prioritization and ROI analysis strategy for model and data science projects across multiple departmental stakeholders

Qualifications

5+ years hands-on experience with machine learning and data science techniques (supervised & unsupervised learning, hypotheses testing, tree-based models, clustering, feature engineering, etc.) and architectures/methodologies (Jupyter notebooks, SageMaker, AWS/GCP, Kubeflow, MLflow, Python, R, etc.)
2+ years experience as a leader managing multiple teams
Experience with scaling of a data organization by hiring and retaining exceptional talent
Leaders who have seen scale with Product Led Growth companies is a plus!
You are passionate about data, are comfortable generating hypotheses and insights from it, and clearly explaining those insights to executive leaders
Experience coordinating a production model through the entire lifecycle of scoping, data exploration, development, training, validation, deployment, retraining.
1+ year experience with operational business model development (examples include conversion/churn prediction, lead scoring, marketing attribution, forecasting, time series modeling, customer lifetime value, customer health scoring, etc.)
You are knowledgeable with SQL and data warehouse architecture


Sr Data Scientist

This is a career-defining opportunity to deliver and level-up in a hyper-growth and cutting edge Data Analytics team who are helping to drive the sustainable growth of Chainlink Labs, as we continue to successfully implement a key piece of the world’s blockchain infrastructure that will power the digital agreements of the future.

Chainlink has already experienced huge success in its core verticals and is poised for a rapid expansion into new use cases. Our ambitions are limitless, and we believe this open source technology can and will change the world.

Chainlink Labs is looking for an exceptional and experienced Sr Data Scientist to help lead the delivery of multiple cross functional projects within our rapidly growing Data Analytics team. The successful candidate will quickly become an expert on both crypto and traditional business data, merging these to deliver high impact insights, shaping the decision making process across the Chainlink labs business, as we continue to lead the decentralized oracle space. Chainlink is a mission and goals oriented organization and this role will play a key part in scaling the finance processes as well as improving overall financial data quality.

You will apply your advanced analytics knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative solutions, contribute to the data science foundations, and coach more junior colleagues. You will play a strong role in shaping our strategy.

Your Impact

Help lead and mentor our talented team of data scientists and analysts
Recruit and onboard new analytics superstars to help our team scale alongside the company
Generate and propagate business focused insights, accelerating Chainlink labs move through the Data Analytics life cycle
Become a business SME on blockchain and Chainlink product specific data, to produce powerful messaging through analytics
Ensure the highest quality data is consumed by the business, driving decision making to continue to outperform the industry
Work closely with our world class data science team to translate complex statistical analysis into business actions
Influence key stakeholders through your data storytelling

Requirements

5+ years of Analytics experience or equivalent field
Strong technical skills in advanced analytics with a proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, anomaly detection, probability theory, stochastic systems, Bayesian inference, deep learning, supervised learning, and unsupervised learning
Strong technical knowledge of big data technologies and SQL
Strong history leading cross-functional projects and delivering to multiple senior stakeholders
Experience with BI tooling such as Power BI, Tableau, Looker essential
Product Ownership attitude, everything you deliver meets exceptionally high standards
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or a STEM field or equivalent combination of training and experience.

Desired Qualifications

Excitement for blockchain, Web 3.0, and similar decentralized technologies.
Experience working remotely in a distributed team.
A strong desire to grow and challenge yourself. While this role is mainly focused on maintenance, we would expect you to constantly find ways to improve and automate services under your purview.

Our Stack
BigQuery, Postgres, Airflow

#LI-RF1

Our Principles

At Chainlink Labs, we’re committed to the key operating principles of ownership, focus, and open dialogue. We practice complete ownership, where everyone goes the extra mile to own outcomes into success. We understand that unflinching focus is a superpower and is how we channel our activity into technological achievements for the benefit of our entire ecosystem. We embrace open dialogue and critical feedback to arrive at an accurate and truthful picture of reality that promotes both personal and organizational growth.

About Chainlink Labs

Chainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the Chainlink 2.0 whitepaper. Chainlink is trusted by hundreds of organizations—from global enterprises to projects at the forefront of the blockchain economy—to deliver definitive truth via secure, reliable data.

This role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).

We are a fully distributed team and have the tools and benefits to support you in your remote work environment.

Chainlink Labs is an Equal Opportunity Employer.

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Machine Learning Researcher

Are you a researcher in Machine Learning looking for opportunities to see your research go to production? Does your vision of the internet include users having control of their identities and data?
Join Dashlane as a Machine Learning Engineer and take part in a mission to create the fastest and most accurate autofill in the industry!
About the role:
Dashlane is looking for a Machine Learning Engineer,PhD, to join our Core Analysis team. You will be working on state-of-the-art research on web understanding, relying on large labelled and unlabelled datasets of web pages.  As a member of the Core Analysis Team, you’ll help pioneer a brand new, cutting-edge web analysis that will make life easier for millions of people worldwide.
The Core Analysis team provides an analysis of the webpages to other parts of Dashlane, unlocking major functionalities like the autofill of credentials, and the automagic change of password. The team is composed of Software Engineers, Machine Learning engineers and a Data Collection Engineer, to ensure the quality of our analysis. Our analysis engine leverages various Machine Learning techniques such as logistic regression, hierarchical classification and state-of-the-art Natural Language Processing neural network architecture. The team also advocates for public specifications for field autofill, like Semantically Annotated Web Forms.
Location:
At Dashlane, you'll be able to opt to work from the Paris office or remotely. If you choose to work remotely, we are flexible on your location, as long as you are in France.
About our stack:

Languages: Python, Typescript
ML: Scikit-learn, TensorFlow
Monitoring: Tableau
Versioning: Gitlab
Misc: Gitlab CI, JIRA, Confluence

At Dashlane you will:

Work on R&D initiatives around web pages understanding and their applications to a password manager and identity provider
Help maintain and improve our existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension)
Work with ML Engineers, Software Engineers, product managers, designers in a highly collaborative environment where everyone shares ownership of the company's success
Learn every day, and share your knowledge with your coworkers

Requirements:

Doctoral degree on Information Retrieval or Natural Language Processing
2+ years of experience in handling large amounts of data
2+ years of experience working with Python, Scikit-learn and deep learning frameworks (Tensorflow, Keras, ..)

Nice-to-have:

Experience with Machine Learning cloud platforms (Azure, AWS, GCP)
Interest in JavaScript, Web technologies and embedding Machine Learning within web applications
Interest in data privacy and online security


Lead Data Scientist

Career Area:
Information Analytics
Job Description:
With Caterpillar’s growing focus on aftermarket services, the reporting of key metrics for our dealers is playing an increasing role in meeting our aftermarket services goals, and in the design of high-quality products. The selected candidate for this position will be a key team member accountable for the design, development, implementation, and support of the algorithms and data source for the CVA AAA (Automated Accuracy Algorithm) reporting for our dealers. The ideal candidate for this position will be an innovative data developer with a global perspective of information technologies capable of designing and owning the entire data flow, while focusing on data quality and applying business rules.
 Job Responsibilities
This position will be responsible for gathering data from multiple sources, maintaining and developing new business rules to apply, and storing that data in Caterpillar’s AAA safe source. They will work closely with the appropriate business owners (Global Service CVA Operations), District Office Representatives, Industry Partners (CI, RI, E&T) and dealers across the enterprise to gather requirements and implement those to create the AAA safe source. Responsibilities will also include feeding requirements to BI developers to deliver visualizations based on that safe source. The successful candidate will have the ability to conduct workshops to gather requirements in addition to designing the solution. Knowledge of Caterpillar’s Work Order domain as well as an understanding of CVAs would be beneficial.
 Basic Qualifications:
Bachelor's degree in Information Technology, Management Information Systems, Computer Science, or related field or 5+ years of software development experience
Minimum of 2 years of experience as an application developer with ETL experience required
 Top Candidate Will Have:
  Experience with Agile framework for project management methodologies and understanding of data visualization tools such as Tableau     Identify and merge data sources to provide a safe source for reporting     Demonstrated proficiency in SQL and Snowflake to extract, transform, and load (ETL) data.     Create user-friendly tools to enable data-driven decisions by leadership     Experience with solution integration or solution architecture practices, IT operations, & data governance     Experience with Data mapping, integration, and transformation to a data warehouse     Coordinate with internal stakeholders to deploy data science models into production and monitor their performance     Perform data related tasks which could include data analysis, data quality, user access management, and troubleshooting of data issues     Programming experience in Python, R, or SAS     Experience in data modelling principles/methods including conceptual, logical, and physical data models.     Familiarity with DevOps systems, such as GitLab     Experience building different types of advanced analytic solutions     Support the building of tools to automate data collection and model multidimensional datasets     Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization      Ability to effectively and tactfully communicate orally and in writing     Ability to work with a global and remote team
 Top Candidates Will Also Have:
  A strong understanding of relational databases and SQL     Experience utilizing application programming interfaces for application integration such as SOAP     Basic knowledge of cloud-based development processes (Amazon Web Services, Azure, etc.)     Ability to learn new technologies quickly and apply to real world situations     Excellent planning and organization skills     Strong analytical skills with ability to identify multiple approaches to problem solving and recommend the best solution     Ability to simultaneously work on multiple projects of different sizes     Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.     Experience supporting IT-related business processes, security processes, etc.     Strong Business Acumen     Ability to interact with multiple levels within the organization     Ability the formulate and implement strategic vision     Relationships with or ability to cultivate relationships with Digital stewards of data inputs / dependencies     Relationships with or ability to cultivate relationships with Service Excellence in Global Service
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EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .


Data Scientist Ii

Career Area:
Information Analytics
Job Description:
 Your Work Shapes the World
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
When you join Caterpillar, you are joining a team of makers, innovators and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that because it helps our customers build and power the world we live in – the roads, hospitals, homes and infrastructure.  Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs.  Join us.
 Description:   A Data Scientist within Internal Auditing & Advisory Services (IAAS) is challenged with identifying risk through analytic tools and processes. You will work closely with audit teams comprised of a Project Manager and Auditor-In-Charge to create data driven objectives to assess and identify potential risk, such as inefficient processes or weak controls. Involved from start to finish, you will be responsible for identifying data sources, securely transferring data, developing and executing analytics, and communicating results to the audit team and business partners. You will typically support the engagement as an auditor, leveraging your analytical results and documenting the control environment. You will conduct 8-12 analytics projects annually, spanning a wide variety of processes and business units across the corporation.
A Data Scientist within IAAS is a 2-3 year position that serves as a unique opportunity to learn about Caterpillar, to gain exposure and interact with senior leaders across the company, and to develop a risks and controls mindset that will be beneficial throughout your career. IAAS leadership is committed to helping you develop the skills you need to achieve your career goals.
 Job Duties:
 Research in-scope business risks and associated business processes   Gain understanding of relevant systems and underlying data   Design data-driven objectives to assess risks and controls   Use analytical tools and scripts to execute objectives   Communicate results and recommendations to audit teams and auditee   Occasionally perform as a staff auditor during fieldwork phase   Work independently to Identify, design, and implement internal process improvements
 Basic Qualifications:
 Bachelor’s degree in a technology or quantitative field   Understanding of relational databases and SQL
 Top candidates will also have:
 Strong communication skills, both verbal and written   Ability and desire to learn quickly   Exposure to Caterpillar ERP and IT systems   Programming experience (e.g., C#, Java, Python, R, etc.)   Excellent organizational and planning skills   Data Visualization experience (Tableau, Power BI, etc.)   Experience with ETL (Extract, Transform, and Load) design              Risk and controls experience   Demonstrate intellectual curiosity
 Additional Information:
 This position would ideally be located in Peoria, IL; Deerfield, IL; however open to considering other Caterpillar facilities within the U.S. (candidates permanent address must be within 50-mile driving distance to a Caterpillar facility). For a full list of U.S. Caterpillar facilities please visit:   https://www.caterpillar.com/en/company/global-footprint/americas/united-states.html    Domestic relocation is available for those who qualify   This position requires up to 15% travel
 Employee benefit details:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.
Here you earn more than just a salary, because we value your performance. We offer a total rewards package that provides day one benefits [medical, dental, vision, RX, and 401(k)] along with the potential of an annual bonus.
Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
 Final details:
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.Caterpillar.com/Careers
#Remote
#LI
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .