Data Scientist

Data Scientist (remote)
Pitt IT Analytics - Pennsylvania-Pittsburgh - (22008027)
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? Pitt’s Center for Research Computing and Pitt IT are searching for a strategic and inquisitive data scientist who is passionate about deriving knowledge and insights from data to ideate, develop, and implement data-centered projects. Fully-remote and hybrid options are available. The data scientist will exercise their knowledge of descriptive and multivariate statistical techniques and applications, and database analysis tools and techniques to develop strategic insights to drive research and business goals. We will rely on you to work with stakeholders to identify data science use cases and their potential value, and then work with a team of analytics and data experts to identify, acquire, and cleanse data; create data science models; and deploy those models to dashboards and applications to realize business value.
You will work in the advanced computing community, develop high fidelity models, and utilize leading edge technologies and methodologies such as: high performance computing on state-of-the-art CPUs and GPUs, containerized workflows for machine learning and AI, data exploration and visualization, programming in R, Python, SAS, MatlabGraph analysis, image analysis, and predictive analytics in social media. You should be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams, researchers, and management. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing research and business problems and look around corners for future opportunities.
Expect to work hard at advancing the state-of-the-art in how data is applied to answer questions throughout the University. Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status. Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”
Preferred: Master’s or PhD in a quantitative, statistical, or other field that requires advanced statistical knowledge and application. However, combination of education, experience and/or industry certifications will be considered in lieu of education. Minimum 5 years experience working with complex data sets using advanced statistics or machine learning. R and/or Python, statistics, reshaping data. Hands-on experience in Linux environments is required.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details Founded in 1787, the University of Pittsburgh is one of the oldest institutions of higher ed in the US. Pitt people defeated polio, unlocked the secrets of DNA, led the world in organ transplants, among numerous other accomplishments. Your efforts will be supporting a world-renowned teaching and research facility. The work we do in Pitt IT Analytics is essential for driving data-based decision making at the highest levels.

Pitt Information Technology provides innovative services that support teaching, learning, research, and administrative functions at the University of Pittsburgh. We are committed to leveraging University resources, to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.

Include complete employment history on application.  Attach resume to this specific posting.  Include salary requirements in cover letter.
Assignment Category Full-time regular
Job Classification Staff.Systems/Programmer.IV
Campus Pittsburgh
Minimum Education Level Required Master's
Minimum Experience Level Required 5-6 years experience
Work Schedule M-F bus hrs.  EST On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements.
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume
Optional Documents Cover Letter


Data Scientist Lead

About: Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Our customers come to us for fashion, value and celebration.
Macy’s Marketing delivers a healthy, profitable customer franchise that is growing through engagement and acquisition. Our team leads strategic initiatives such as personalization and monetization, as well as our Star Rewards Loyalty program.
Take the helm of one of the world’s most beloved brands and help bring it to life for our customers. As part of our team, you’ll own, guide, and direct marketing efforts, motivating our customers to strengthen their relationship with our brand. Constantly creating, innovating, and exploring the new, you’ll drive customer engagement and loyalty while sparking excitement.
 Job Overview: As part of the Supply Chain group, the Lead Data Scientist will develop innovative analytical approaches to support merchandising and supply chain operations and strategy. The Lead Data Scientist will create new analytical models, processes and reporting practical methods to forecast demand, understand customer preferences, improve inventory placement, predict business outcomes, and optimize major investments in supply chain strategy. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify business opportunities, and quantify the impact of strategic projects. They will also build dashboards, visualizations, and conduct ad-hoc data analysis for business partners as needed.
The ideal candidate will have a blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills. The candidate will be expected to be strong at communication and capable of cross group collaborations
Essential Functions:
Answering complex business questions by using statistics, modeling, simulation, and machine learning techniques
Designing and running experiments to gather data (i.e. A/B testing)
Develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques.
Conducting data preparation and cleansing, and building data pipelines to support modeling and operational needs
Work closely with cross functional teams to encourage best practices for experimental design and data analysis.
Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company.
Perform other duties as assigned.
Qualifications and Competencies:
Minimum Graduate Degree
Preferred PhD
2-5 Years Relevant Research Experience
Extensive experience in Python and SQL
Familiarity with visualization tools such as Tableau, Looker, or Power BI
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to work independently and juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to think creatively, strategically and technically
Strong passion for answering complex business questions using structured problem solving and rigorous data analysis
Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels
Ability to think creatively, strategically and technically
Ability to work a flexible schedule based on department and Company needs

MARKETING00

CORP00


Lead Data Scientist Oms And Inventory

About: Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Customers come to us for fashion, value and celebration. Now is an exciting time to join Macy’s, Inc. The face of retail is changing, and change requires innovation.
Macy’s Tech provides modern tools, platforms, and services to all parts of the business. Our team supports millions of customers in connected commerce across the technology hub at Macy’s Join our team to help shape the future of e-commerce and set the pace in retail technology. Whether focused on store technology, supply chain tech, application security, merchandising systems, or the mobile app – you’ll have opportunities to grow your career while finding meaningful ways to make a difference.
Job Overview:
70% – Delivery & Execution:
Collaborates and pairs with other product team members (engineering, and product management) to create secure, reliable, scalable software solutions
Partner with Analysts and Data Scientists on delivering reliable data that powers machine learning models
Identify, extract/scrape, and verify suitable data from different sources.
Design and conduct exploratory data analysis (for example, statistical analysis/segmentation, anomaly detection, assumption testing)
Conduct A/B test and report out A/B test data
Creates proofs of concept. Deploy models to production.
Build learning systems to analyze continuous data flows and offline data.
Work on eCommerce search, recommendation related data science projects.
Work on building relevance evaluation tools.
10% – Learning:
Participates in learning activities around modern software design and development core practices (communities of practice)
Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
Essential Functions:
Action-Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Cultivates Innovation: Creating new and better ways for the organization to be successful
Drives Results: Consistently achieving results, even under tough circumstances
Global Perspective: Taking a broad view when approaching issues; using a global lens
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
Qualifications and Competencies:
4 Year / Bachelors Degree
Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
 Expertise in Data structures, Object-oriented programming, functional programming, familiarity with microservices, cloud Technologies.
Experience with programming languages- Python, SQL, Java.
Experience in BigData and NoSQL technologies like Cassandra, Big Table or equivalent.
Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases.
Familiar with model assessment and validation
Experience in designing event driven mechanisms, publish/subscribe models.
Experience in writing automated tests - Unit/Integration tests.
Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).
Experience with Agile or Scrum software development methodologies
This is an engineering position, and in our team, we believe in “always production-ready” code.
This job requires 70% coding or coding-related tasks every day.
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to work a flexible schedule based on department and Company needs
This job description is not all-inclusive, and Macy’s Inc. reserves the right to amend this job description at any time. Macy’s Inc. is an Equal Opportunity Employer and is committed to a diverse and inclusive work environment. Candidates for positions in San Francisco ONLY can review their rights and the Company’s obligations under SFPC Art. 49 here. Candidates for positions in Los Angeles ONLY can review their rights and the Company’s obligations under LA MC Ch. XVIII Art. 9 here. Candidates for positions in Philadelphia ONLY can review their rights and the Company’s obligations under PC Ch. 9-3500 here
TECH00


Data Science Undergraduate Internship Summer

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program


Manager Online Data Science Recommendations


Data Science Manager


Principal Data Scientist Online Visual Ai


Data Scientist Uk

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Extract and manipulate data using a combination of different tools including SQL, Python etc. Build machine learning/statistical models and perform analysis. Uncover insights and build strategic recommendations that support objectives for business Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and deployment. Actively identify and implement initiatives to improve data extraction, data preparation and data modeling processes Continuously evaluate ML models and processes and offer solutions to ensure they are efficient, high-quality, and scalable Build high-quality reusable code that can be used as a framework and can be shared throughout the firm Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions Maintains and enhances a set of critical ML models supporting several use cases Maintains complex data pipeline supporting our team’s mission in democratizing data and enabling a data-driven organization, partnering with business and IT teams Effectively communicate actionable insights at all levels of the organization Collaborate closely with leadership, engineering, and other stakeholders to improve the client’s view of modeling and decision engines Present compelling data stories to the internal and external teams  3+ years of ML/AI model development experience Strong in SQL, ML libraries and frameworks Proficiency in programming languages including, Python Hands on experience in an analytical field of study (e.g. Statistics, Computer Science, Engineering, Mathematics, Finance) Demonstrated success working with large data sets and analytic tools. Data mining experience working with a large relational database is an asset Previous work in a cloud-based service such as Azure, or AWS is an asset Working knowledge of machine learning techniques Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data Ability to take initiative, multi-task and work in a fast-paced environment A team player and self-starter This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Manager Sr Manager Analytics Consulting

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights  Ability to break down a project into specific tasks involving business analysis, data science and engineering Direct teams of business analysts to create data driven solutions Architect data analytics frameworks and solutions to solve data driven business problems Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Extract, transform and organize the data into datasets using tools like SQL Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc. Report the results and insights using business intelligent tools Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions Being able to effectively communicate with and manage expectations across stakeholders   6-10 years of professional work experience with at least 5 years in business data analytics Experience working with large data sets is preferable (with an emphasis on business analysis problems) Experience of working with offshore teams Bachelor's degree in business administration or a closely related field. MBA preferred Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Strong project management and team management skills and ability to work with global teams Strong SQL skills and excellent knowledge of visualization tools like Tableau Knowledge of statistical and machine learning algorithms Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.


Data Scientist Spain


Senior Data Scientist Ads Innovation

Get to know us
eyeo is an open source software company whose market-leading ad-filtering technology powers products like Adblock Plus and AdBlock as well as technical integrations for leading browsers on the market. Our privacy-first products like Crumbs promote transparency and an improved browsing experience. eyeo is dedicated to giving users control of their online experience while fostering a sustainable online value exchange between content creators, publishers, advertisers and users.
In combining our User Growth partnerships and our subsidiary products, our technology reaches 250 million monthly active users.
At eyeo, we’re passionate about user agency, personal privacy and sustainability as well as keeping the web an open, fair resource for everyone.
How we work
eyeo has colleagues based all over the world. We love our diversity and our company culture. We practice an agile, remote workstyle with work distributed in cross-functional teams that span nearly every timezone. Many of our tech teams prefer to work asynchronously. If working remotely isn’t for you, we also have two offices (Cologne and Berlin) that you can choose to work from. Twice a year we come together with our teams for Team Days and once a year we offer an offsite company retreat, Summer Week. By offering remote work and in-person sessions, we have built a hybrid culture that offers a unique dynamic of flexibility and belonging.
What you'll do
You’ll be working in a start-up environment for a privacy-centric advertising product that disrupts the advertising industry and inspires a shift towards solutions that respect end users’ choices. As a Senior Data Scientist, you will lead various product experiments by designing and implementing privacy-preserving algorithms, develop models of user behavior, perform audience segmentation and event measurement, and collaborate with cross-functional teams to drive Data Science initiatives forward.
After your morning routine, you'll be expected to...

Leading the data science efforts for a bold and innovative project in the field of privacy-preserving advertisement, that aims to be integrated into hundreds of millions of devices. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management
Collaborating with a cross-functional team, closely working with product, engineering, and other teams to incorporate Data Science capabilities into eyeo’s products and services
Defining problem statements and gathering business and product requirements that align with the product vision, goals and KPIs
Designing algorithms, protocols, and architectures that will enable specific advertising use-cases (identification, gathering, and processing) with minimal impact on users' privacy
Applying privacy-by-design principles in the product development process
Analyzing data, designing and building proof of concept models, shipping ML models to production and evaluating them

What you bring to the table…

Ability to self-manage, own complex topics, and drive initiatives
Experience in designing and developing algorithms for data extraction, sharing, and processing whilst also considering the privacy aspects of the processes
You’re experienced with Data Science and Machine Learning (aka A.I.), including Classification, Active Learning and NLP
You have strong implementation experience with at least one programming language (we’re using Python & SQL, experience in R etc. is acceptable)
Good understanding of how the web works
Ability to present and pitch results to a variety of stakeholders
Agile mindset
Great teamwork, communication and coordination skills
You are proactive and have a hands-on approach

It's awesome if you know about…

Experience in ad-tech (good understanding of how current advertising & measurement protocols work)
Experience working remotely or in distributed teams
Containerization (Docker, Containerd)
Distributed learning, federated learning
Experience in Encryption
Knowledge of innovation and Lean Startup methodology

What we offer

Work remotely or from one of our offices —we trust you to find what works best for you
Budget for the following: home office and/or relocation
Flexible working hours
28 days paid vacation + Volunteer day
Your choice of hardware and setup
Personal and professional development budget
Monthly child care allowance for children under 6
Offsite team days and the annual summer company retreat
Company-sponsored hackathons

Helpful links

Monetization: https://adblockplus.org/blog/acceptable-ads-explained-monetization

eyeo in the news: https://eyeo.com/press/

Blog updates: https://eyeo.com/blog/

Life at eyeo: https://eyeo.com/careers/working-at-eyeo

The team at eyeo: https://eyeo.com/team

Open Source repository: https://github.com/adblockplus, https://gitlab.com/eyeo

Privacy Notice
Eyeo is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. When you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.


Senior Data Scientist

Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 18 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.
We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.
Responsibilities:
Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
Create automated anomaly detection systems and quality assurance metrics to constantly track performance.
Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
Communicate best practices in quantitative analysis and develop cross-functional partnerships.
Keep up to date with the latest technology trend to apply them to our business challenges.
Perform Ad-hoc analysis and present results.
Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to effectively communicate insights.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file and 2) being assigned to the open position (as a search) via our applicant tracking solution.


Staff Data Scientist

OfferUp is looking for an experienced Staff Applied Data Scientist to help build data science and machine learning solutions while helping to lead and build our Data Science and ML team. The Data Science team is foundational for building the next generation of OfferUp and helping our customers connect with the deals and items they are looking for quickly and without friction. As a Senior Data Scientist, you will partner with all product areas, adding insights and intelligence to support Personalization, Trust & Safety, and Search & Discovery.
As an engineering leader you will direct and influence technology and design decisions, and partner with our product leaders on building and delivering on the Data & Personalization roadmap.
This role can be in Bellevue, Washington or @Remote in the following states: Washington, California, Colorado, Florida, Illinois, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Tennessee, Texas, Virginia.
Responsibilities

Lead a team of Data/Applied Scientists in achieving state of the art applied machine learning solutions.
Own, oversee, and delegate the design, architecture, development, testing, deployment, and delivery of large-scale NLP, CV, and classical machine learning solutions capable of making real time and batch decisions. Examples include Multi-class Classification of text and images, specialized text extraction, semantic understanding, improved search and retrieval, etc.
Develop members on the team, helping them advance in their careers
Champion operational excellence, establishing metrics and process for regular assessment and improvement of models and solutions which are tightly aligned with rest of the engineering systems
Keep the team up to-date with latest applied research solutions in NLP and CV
Establish standards of model updates, detecting model drift and performance and setting up benchmarks of excellence
Operate strategically and tactically
Exceptional written and verbal communication
Collaborate with Product and Engineering leaders to scope, identify, and refine data science requests

Requirements

5+ years of building and shipping ML models and data solutions with quality
3+ years of professional software development in languages such as Python, Java
Experience and API development
Expertise in querying and retrieving data using SQL from large data systems
Ph.D. or Master’s Degree in Computer Science, Mathematics, Statistics or a related technical field OR Bachelor’s degree and relevant work experience
Expertise in classical NLP methods (POS tagging, NER, n-grams, keyword extraction) as well as deep learning methods (semantic analysis, RNNs,  LSTMs/GRUs, transformers)
Knowledge of large language models (BERT family) and their applications preferred
Working knowledge of deep learning methods applied to images highly preferred (CNNs, Transfer Learning)
Expertise in open source deep learning frameworks (Tensorflow/Keras)
Experience in creating microservices and deployment on cloud infrastructure (AWS, Azure, GCP)
Experience in using GPUs for model training desired, deeper knowledge preferred
Actively coached and mentored team members in their careers
Been actively involved in building vision, strategy, and roadmaps
Shipped several large scale projects with multiple dependencies across teams
Ability to communicate across teams and levels


Head Of Analytics Data Science

About Currencycloud

Currencycloud is somewhere where innovative thinking and the power of technology know no limits. We know that the success of the business depends on the people who keep it moving, which is why we are looking for exceptional talent to join our international payments revolution.

We are an open & collaborative Fintech unicorn that lives and breathes our company values:
Be Human, Better Together and Own it.

Remote working?
It’s a key topic at the moment, we have addressed this by implementing a “Remote-First” policy. What this ultimately means is you have the choice as to whether you Work Fully Remotely, or visit the lush offices in London, Cardiff or Amsterdam; it’s up to you!

About the role
We’re looking for a passionate, high-agency Head of Analytics & Data Science to join our company. Your mission is to build out and scale a world-class Analytics & Data Science function that delivers considerable value for our customers and our business.

What you'll get to do:

Leadership:
- Define what great looks like when it comes to generating insights from Currencycloud’s data
- Define practices & ways of working covering Analytics and Data Science so we sustainably deliver value to our customers and the business (e.g. workflows and tooling for a modern Analytics & Data Science function)
- Educate and influence colleagues in the function and across the business about patterns & practices in Analytics and Data Science
- Develop and build a new Analytics & Data Science Community of Practice with power users in other functions
- Represent the Analytics & Data Science function internally and externally in the Fintech market
- Build out and scale our Analytics & Data Science function

Strategy:
- Develop the Analytics & Data Science strategy for our business
- Communicate and get buy-in for the Analytics & Data Science strategy from across the business, particularly in Technology & Product
- Translate the Analytics & Data Science strategy into robust, executable plans
- Collaborate closely with colleagues to execute the long-term Analytics & Data Science strategy

Delivery & performance:
- Accountable for the performance of a distributed team of Insight Analysts & Data Scientists
- Use leadership and management skills to improve: 1) delivery of Analytics and Data Science projects; and 2) team engagement and effectiveness - as demonstrated by substantial improvements in relevant KPIs and metrics
- Multiply your impact by recruiting top-notch talent and coaching the Insight Analysts and Data Scientists

Coaching & mentoring:
- Set and maintain a culture that strengthens our people-first, empowered, high-accountability Analytics & Data Science team
- Create and maintain a competencies framework for Insight Analysts & Data Scientists to help with career development
- Provide first-rate coaching and mentoring to your direct reports so they become the best individual contributors they can be
- Advocate for Analytics & Data Science best practices within the function and across the business
- Teach direct reports, and skip reports, about Analytics & Data Science best practices

What experience you need!

Experience:
- Built and run a team of at least 2-5 Analysts & Data Scientists (or a team with equivalent job responsibilities covering Business Intelligence, Insights etc.)
- Recruitment and retention of top Analyst & Data Science talent
- At least 1-2 years experience of direct leadership and people management
- Demonstrable experience working in a “software first” and agile company

Skills:
- Analytics & Data Science practices: Deep understanding and knowledge of patterns and practices, including the application of theory in different industries and organisations
- Leadership & coaching: Expert at coaching and leading teams in Analytics & Data Science
- Ability to influence colleagues across the business
- Delivery & performance: Expert at optimising the delivery of high value-add Analytics & Data Science projects
- Communication: Expert at communicating with technical and non-technical stakeholders
- Experience helping a start-up/scale-up mature their Analytics and Data Science workflows and processes

Why Currencycloud?

We are a remote-first company; whichever location you’re contracted to, we leave it up to you and your manager to agree on how often you come into the office. To make things easier we offer an allowance so you can create your own working space at home because we REALLY mean it when we say remote first.

Your health and well-being are of paramount importance to us, and so our jampacked employee benefits reflect this!

We offer a competitive salary, an individual learning and development budget, a pension or 401K contribution, mental health days and comprehensive health care that includes annual optical and dental allowances, access to mental health support and a monthly allowance that you can spend on anything health or wellness related!

At the moment we are unable to consider applicants living outside of our entities and we are unable to provide visa sponsorship.

We aren’t currently looking for additional Recruiter support on this role and won’t be accepting any unsolicited CVs


Product Manager Data Science And Machine Learning

Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s market-leading Revenue Operations Platform is currently processing over $300 billion in pipeline each year, and is used by over 100,000 marketing, sales, and customer success professionals across 170 countries. Customers include market leaders like Adobe, Zoom, Qualtrics, UiPath, Okta, and Workday. We constantly hear from our customers that Clari is required equipment, and that we’ve changed their lives and the trajectory of their businesses. It never gets old, and we never take it for granted. Together, we help others realize their fullest potential by transforming their revenue operations to be connected, efficient, and predictable.

Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth.

We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform.

This is a fully remote opportunity and can be worked from any location in the United States.

Responsibilities

Drive the vision and roadmap for data science in the Clari platform
Partner with engineering on approaches to leverage machine learning
Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications
Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems
Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies
Ensure that our data science solutions are built for trust, scale, extensibility, and reliability
Leverage data from multiple sources to inform product decisions and drive customer adoption
Set targets for product adoption & impact, and work with success teams to ensure our product goals are met

Qualifications

4+ years of SaaS product management experience, from inception to delivery
2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP)
Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
Working familiarity with databases, data management, and modern API-based software architectures
Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.)
Experience delivering systems optimized for scalability and extensibility
Strong written and verbal communication skills with a forte for breaking down complex technical problems
Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences

Benefits and Culture

Team-bonding activities and company-wide events
Flexible working hours and remote opportunities
Internet, phone, and wellness reimbursements
Paid maternity and paternity leave
Fertility support
401(k) and college savings plan
Pre-IPO stock options

#BI-Remote #LI-Remote

You’ll often hear our CEO talk about “Being Remarkable.” To Clari, remarkable means many things. First and foremost, we believe in providing work that’s interesting and meaningful, in an environment that’s nurturing and inclusive, that is free from discrimination for each and every team member without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work/life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work, several years running. We’d love to have you join us on our journey to remarkable!


Sr Data Scientist

Sr. Data Scientist WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and  strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities.  What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Lead the effort to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Collaborate with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identify key insights from large data sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the best-fitting tool and level of complexity appropriate for the business challenge(s)
Engage with counterparts across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, prioritizing those where advanced analytics projects or tools can have the biggest impact
Identify and communicate the challenges and opportunities that the group should be working on, highlighting areas for improvement
Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
Brainstorm and articulate business questions and investigate answers using data and mathematical techniques
Translate analysis results into business recommendations
You will also deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents
Help deliver AI tools to the business such as LLMs
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
4+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
Advanced experience building, cleaning, and testing data quality for data sets preceding modeling
Strong problem-framing, problem-solving, project management skills, customer service, and communication skills
Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
What would make you stand out:
Masters or PhD in a related field
Combination of technical and business acumen
Experience with Dataiku
Experience in Agile methodologies
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $123,000.00 - $164,000.00


Data Scientist Ii

Data Scientist IIWEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and  strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities.  What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Interact with product and service teams to identify questions and issues for data analysis and experiments
Code software programs, algorithms, and automated processes to cleanse and evaluate large datasets from multiple sources
Identify important insights from large data sources; interpret and communicate insights and findings to product, service, and business managers
Support projects with hands-on analysis and modeling, using analytical methods to choose the right tool and level of complexity for the task
Articulate business questions and use mathematical techniques to arrive at an answer using data
Translate analysis results into business recommendations
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
1-3 years of relevant work experience (e.g., as a data scientist) or equivalent. Analytical engagements outside class work while at school can be included
Knowledge of statistical software (e.g., R, Python) and database languages (e.g., SQL)
Experience building, cleaning, and testing data quality for data sets preceding modeling
Understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Problem-solving, project management, customer service, and communication skills
What would make you stand out:
Masters or PhD in a related field
Experience with Dataiku
Experience in Agile methodologies
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $82,500.00 - $110,000.00


Data Scientist

Job DescriptionData Scientist, RiskWho We AreOur Team: We are the Global Risk Decision Science and Data Capabilities team. We are a fast-growing team and key to WEX’s strategic vision to incorporate more machine learning into our decision-making. Our team works on improving decisions, automated and otherwise. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. We are an informal group that likes to work together. We believe that the best work is driven by purpose and a fun and engaging work environment.Our Company: WEX is a fast-growing multinational payments company based in beautiful Portland, Maine. WEX headquarters is situated in the heart of Portland amongst some of the best restaurants in the country and overlooking the ocean and lighthouses. When you are here, you know you are in Maine. We have generous paid time off and paid volunteering time, not to mention great benefits and a culture that values diversity and inclusion.Who You AreYou are driven to do great work. You love learning new things and solving complex problems with data tools and algorithms. You believe that communication and relationships are key to success alongside your data and machine learning prowess.We are looking for someone really rare and we know it. We understand that in some cases you may not exactly check off one of our boxes, but we are interested in knowing how you think that your experience or skills either cover the items below even if in a non-traditional way.General Experience and Abilities
3+ years of experience as a data scientist, machine learning engineer, applied scientist or analyst with evidence of either thesis work or project work using a computational, model-driven approach to data problems
Experience being an effective member in a mixed team of technical and non-technical colleagues
Understanding of empirical research methods
Evidence of creative problem solving
Experience in the financial industry a plus
Tools and Techniques
Command of analytics-based scripting tools and libraries such as Python (pandas, numpy, sklearn, tensorflow, etc.), R, Julia
Strong knowledge of SQL
Understanding of statistical tests and which to apply when
Command of probability concepts: distributions, Bayesian inference, maximum likelihood estimation, etc.
Familiarity with various machine learning algorithms
Understanding of data splitting techniques and generalization
Key WordsPython, Pandas, Data Science, Machine Learning, Statistical Learning, Applied MathematicsThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $82,500.00 - $110,000.00


Senior Applied Scientist I

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As anEtsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist to join the Recommendations Ranking team in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we show to buyers.
The Recommendations Ranking team builds machine learning models that aim to enhance personalization and optimize recommendation relevance, thereby improving the overall user experience. We use machine learning algorithms to train models that optimize for different objective functions, tailored to meet different business needs.
As an Applied Scientist, you will work closely with Software Engineers and product managers to build custom ranking models for recommendation systems. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Deep Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!

This is a full-time position reporting to the Sr. Manager, Data Science  and the base salary range will be 164,000 - 192,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Initiate and lead new tracks of work to enhance ranking capabilities of Etsy’s Recommendation engine.
Develop innovative ML ranking models that optimize for various business goals to power recommendations at scale.
Build models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers.
Develop models with custom architectures or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seller fairness, and seasonality.
Work closely with software engineers, data scientists, applied scientists, product managers, and designers.
Of course, this is just a sample of the kinds of work this role will require! You should assume that
your role will encompass other tasks, too, and that your job duties and responsibilities may
change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques to address real-world problems.
Experience with / working in one of the following fields: deep learning, uplift modeling, fairness in recommender systems, reinforcement learning.
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code.
Ability to write code and manipulate data at a large scale, in distributed environments.
Ability to take on and lead unconstrained problems and know when to seek help and how to deliver.
Strong verbal and written communication skills.
Preferred requirements:
A Ph.D. degree in Computer Science or related engineering fields with 1+ years of practical machine learning experience or an M.S. degree in Computer Science or related engineering field with 3+ years of practical machine learning experience.
Experience in Deep Learning.
Experience using Scala Spark, Airflow, and Tensorflow.
Experience using Google Cloud Platform tools (GCP).
Experience in building production recommendations, search, or advertising systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Senior Data Scientist Trust Safety

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As anEtsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
We are looking for an experienced analytics professional to support the product teams responsible for building scalable content moderation solutions. Your team’s work ensures Etsy provides a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Trust & Safety area, you will deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. You will perform open-ended analyses that inform our strategy for highlighting and protecting our sellers’ unique items. You will develop key performance indicators that measure the effectiveness of content moderation tools and enforcement. You will work with engineering partners to build pipelines and evaluate opportunities for automated detection. Are you passionate about using creative thinking and sophisticated analysis to drive product development and content moderation strategy? If so, this could be a great match.
A successful candidate for this role is a strong collaborator and has proven instincts about when to hold the line on methodology, and when to adapt to the changing demands of a project. They approach their work with a genuine sense of curiosity, and they’re willing to challenge conventional wisdom to find the right answer.
This is a full-time position reporting to the  Manager, Trust & Safety Analytics and the base salary range will be $130,000.00 -$168,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in U.S who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Partner with product, engineering, design, and operations teams; use behavioral and marketplace data to shed light on our users and their experiences on our platform, identify areas for improvement, and drive decision-making.
Identify metrics to understand the impact of content moderation solutions and interventions, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.
Provide strategic insights for content moderation and develop infrastructure that uses the outcomes of human decision-making to improve and expand upon automated solutions.
Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.
Continually evaluate and refine your technical toolkit; teach what you learn to the team.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years of proven success as a data analyst supporting product teams with data access, reporting, and insights.
Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.
High proficiency with sophisticated analytical techniques, SQL, and in one of or both Python or R.
Experience in the tech industry and in a scaled enforcement environment is preferred.
An understanding of adversarial abuse patterns and how they manifest online is preferred.
Ability to work and communicate effectively with a variety of partners.
Proficiency bringing creative approaches to problem definition, problem-solving, and data analysis.
A deep passion for quality data and the integrity of your work.
Ability to communicate insights to senior executives verbally, visually, and in writing.
A trust in and dedication to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.

All your information will be kept confidential according to EEO guidelines.


Data Scientist All Levels

Job Description
The Data Scientist team owns and is responsible for all major data science initiatives.  Expected to use and deploy cutting edge data science and machine learning tools and methods in all Dataworks projects, platforms, and products.  Always working to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods utilizing tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs, and new products/solutions, using advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. This team will lead the creation and implementation of solutions from concept to production using current and emerging technologies.  The team will develop solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems.
Minimum QualificationsData Scientist III:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Four (4) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Additional InformationColorado, Nevada, Connecticut, New York, California, Rhode Island and Washington Residents Only - Compensation: Monthly Salary: $8,413.00 - $14,201.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
Exploring and harnessing data to define and solve true problems;Removing barriers between data sets to create new avenues of insight;Building and iterating on solutions that generate value;Acting as a change agent to advance curiosity and performance.
At FedEx Dataworks, we are making supply chains work smarter for everyone.

Employee Benefits:  medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.


Lead Data Scientist Dl Ai Modeling Forecasting Canada

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Data Scientist preferably, with a Ph.D. who holds solid knowledge of deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must.  Experience with demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Staff Data Scientist Invest

Social Finance, Inc. seeks Staff Data Scientist, Invest in San Francisco, CA:Job Duties: Create data driven solutions for amazing product and business managers to identify strategicopportunities, measure product KPIs, build experiments, and drive informed actions. Statistical analysisof customer behavior metrics, such as funnel conversion, user churn, invest product featureengagement, unit economics and cross-sell metrics. Work with product and marketing partners todesign A/B tests & machine learning models to improve these metrics. Own end-to-end productanalytics workflow including metric definition, engineering instrumentation, database transactioncapture and analytical processing. Build data structures and ETL pipelines to transfer data intoSnowflake data warehouse. Act as a curator of data by defining, instrumenting, and tracking necessaryanalytics of our products by working cross functionally with engineering and product teams. Buildscalable machine learning solutions to predict user behavior and make personalized & relevantrecommendations to users. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Business Analytics, Engineering, orclosely related quantitative discipline, and two (2) years of experience in job offered or related field, ORBachelor’s degree, or foreign equivalent, in Business Analytics, Engineering or closely relatedquantitative discipline and five (5) years of progressively responsible experience in job offered or relatedfield.Special Skill Requirements: (1) SQL; (2) Python; (3)R Programming; (4) Big Data Tools; (5) AWS Full Stack;(6) A/B Testing; (7) Data Visualization; (8) Machine Learning; (9) Recommender Engines; and (10) AirflowAutomation. Any suitable combination of education, training and/or experience is acceptable.Telecommuting is an option.Salary: $197,600.00 - $227,240.00 per annum.Submit resume with references to: Req.# 22-19039 at: ATTN: Rae Myles, rmyles@sofi.org.

#LI-DNI


Data Scientist

Social Finance, Inc. seeks Data Scientist in San Francisco, CA:Job Duties: Apply advanced statistical methods to complex data sets to understand SoFi user andproduct trends. Identify product improvement potentials and customer interaction behaviors by usingvarious data sources at different stages of the product, and recommend partner teams with properstrategies to ensure a smooth user experience. Work with other data scientist and engineers to leveragemachine learning to power personalized experiences across SoFi. Contribute to the developments ofnew products or features by exploring solutions to display intelligence product rankings in the websiteand mobile application designs. Implement all the above duties with modern technologies, including butnot limited to Python, SQL and AWS. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, InformationSystems Management, Business Intelligence and Data Analysis , or closely related quantitative discipline,and one (1) year of experience in job offered or related field, OR Bachelor’s degree, or foreignequivalent, in Computer Science, Information Systems Management, Business Intelligence and DataAnalysis or closely related quantitative discipline and five (5) years of progressively responsibleexperience in job offered or related field.Special Skill Requirements: (1) Python; (2) SQL; (3) Business Analysis; (4) Financial Analysis; (5) RiskManagement; (6) Scikit; (7) Matplotlib; (8) Swift Programming Language; (9) Apache Spark; and (10) Git.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $140,000.00 - $161,000.00 per annum.Submit resume with references to: Req.# 22-17353 at: ATTN: Rae Myles, rmyles@sofi.org.

#LI-DNI


Senior Software Engineer Data Scientist

The Metrics Engine team oversees the extraction of data to evaluate the behavior of our av-stack, all the way from devising the metric formulation based on traffic laws, ethics and safety, to extracting the information necessary to compute these metrics from the logs. Beyond evaluating system-level behavior, we also derive metrics to evaluate subsystems that collectively participate to AV system behavior.
As we are outputting a growing amount of metrics at various stages of the development process, our team is looking for a Senior Data Scientist to analyze the progression of our av-stack performance with respect to those metrics, and surface key trends. This person will get to make reports and recommendations that are of direct interest to many different teams across the organization, including leadership.
What you’ll be doing:
Analyze the output of our metric evaluator to provide high-level insights on the progress of our stack
Communicate with the Testing, Operations, and Autonomy teams to understand their day-to-day analysis needs
Provide recommendations on how to design experiments to get a stronger signal from the metrics
Question the results of certain metrics, dig into their formulations and contribute to improving them regularly
What we’re looking for:
Strong Python coding experience
MSc in Statistics, Math, Physics, Computer Science or equivalent + 3 years of experience in data science in a tech-heavy industry
Python/Julia experience in statistical analysis
Commitment to rigorous analysis - if assumptions need to be made to infer results, they should be spelled out
Ability to communicate clearly to non-domain experts about potentially complex behaviors
An interest in contributing to the metric formulation and implementation
Bonus points (but not necessary):
Experience in evaluating human or autonomous driving behavior
Experience in robotics
Why you should join us:
We value diversity, equity, and inclusion and provide a supportive work environment that prioritizes collaboration, communication, and creativity. Our team members are committed to delivering high-quality results that make a real difference in the world. If you are passionate about the future of autonomous vehicles and want to work with a team of talented and motivated professionals, we encourage you to apply to join our team.  Additionally, we offer excellent benefits to include generous medical plans, wellness benefits, unlimited PTO, 401k and equity, to name a few.
Opportunity to present results to executives and leaders across the organization
Opportunity to shape the technical roadmap towards a better product
Be part of a rapidly growing team that interfaces with many branches of the organization
Working conditions:
The Motional global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the offices are located close to major transit lines and a quick walk to various restaurants and popular attractions.
While performing the duties of this job, the employee is frequently required to convey and detect communication
The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment
The employee may occasionally move up to 50 pounds
This position can support remote work within the United States only.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$136,500—$225,000 USD
Motional is a driverless technology company making self-driving vehicles a safe, reliable, and accessible reality.
The Motional team is made up of engineers, researchers, innovators, dreamers and doers, who together are creating a first-of-its-kind technology with the potential to transform the way we move. We’re behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's most-established public robotaxi fleet.
As a leader in an emerging industry that has the promise of creating safer, more reliable and accessible transportation for all, it’s imperative we have a diverse workforce, create an inclusive culture, and understand the communities we operate in around the world.
Diversity, Equity and Inclusion is fundamental to Motional’s success. That’s why we’ve established a team to ensure DEI is at the forefront of the candidate and employee experience, beginning with the hiring process and continuing throughout your career. We also partner with organizations like the National Society of Black Engineers, the Society of Hispanic Professional Engineers, and the Society of Women Engineers to ensure our DEI work is informed by the latest thinking and approaches.
Strategically formed by Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Facebook, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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Data Science Leader

At BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us!

BioRender has revolutionized how 1.5M+ scientists communicate their research all over the world. The app provides personalized content and creative web-based tools to our users. These powerful tools enable scientists to create beautiful visualizations easily, easy-to-read posters for conferences, and informative slide show presentations, all while giving and receiving feedback in real-time.

BioRender is on a mission to accelerate the world’s ability to learn, discover and communicate science. This is a big, ambitious goal.

We’re looking for our first Data Science leader who’s passionate about accelerating our mission to join us on this journey. Our teams work closely with product managers, designers, and scientists to solve our customers' problems. We have more than a million scientists on our platform, creating millions of figures relating to their scientific work product.

As our first Data Science leader in a high-growth, at-scale startup environment, you’ll get to work on challenges across the product life cycle. The challenges range from launching new products to iterating and scaling on existing ones, identifying opportunities for leveraging modeling, and mining our rich datasets for original insight to direct our efforts towards the biggest opportunities.

Being our first Data Science leader, this is a great opportunity to leverage your experience into crafting what Data Science as a function means at BioRender for years to come, defining its charter, hiring the team, and working collaboratively with the senior leadership team to establish cross-functional partnerships.

You will:

Establish the mission, vision, and strategy for Data Science at BioRender
Work closely with your Product, Design, and UXR partners to deeply understand the user, the product problem space, and how data science can accelerate product advancements through meaningful insights generated from data analysis
Work closely with our Growth and GTM stakeholders in pulling signal from noise which accounts for all of the ways this signal could be off. The signal should provide a high level of confidence in how certain levers can contribute to sustainable, scalable growth, and enable achieving meaningful business outcomes
Build the dream team: identify the highest leverage opportunities to grow the team and hire additional data scientists with the highest need skill sets
Identify, align stakeholders, and execute together with our Data Engineering team on appropriate opportunities to advance our product and business goals leveraging advanced Data Science techniques such as deploying recommendation engines or other NLP/modeling/machine learning applications
Identify, align stakeholders, and execute together with our Core Product team on how might BioRender leverage recent advances in language and visual models in accelerating its product roadmap

Our ideal fit:

Leadership experience in hiring, mentoring, and shaping Data Science as a function
Ideally 2+ years of management experience (not required)
7+ years of Data Science experience, ideally 2+ years at the Principal level
Successful track record in driving meaningful business and product outcomes through unique contributions that leverage Data Science techniques
Developing, hiring, and onboarding A-player data scientists onto their organization
Previous experience working on a large-scale web-based product, ideally in a product lead high growth environment
PhD preferred, and at minimum Masters, with a formal education in statistics
Strong Communication skills - draw information out of technical and non-technical sources and communicate them back at multiple levels
Strong fluency in statistics fundamentals - fluent in data analysis techniques and understands WHY one technique is preferable to another in a given context
Builder mindset - being early on in our journey, this role would require someone who is willing and able to “roll up sleeves” and work closely with our Data Engineering team to improve our data infrastructure alongside leveraging the infrastructure in their work.

Why join us?

We are mission-driven and work hard to contribute to the greater good by helping improve scientific communication to accelerate scientific discovery
It’s a product that users love! We have a legion of evangelical users. Check out our Testimonials page to see what our customers are saying about us.
We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere in the Canada and United States.
We are profitable and continue to grow revenue north of 100% year over year with users in 200+ countries.
We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator and Refactor.
We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first: https://biorender.com/careers/

Check out our candidate resource - Engineering, Product & Design at BioRender!
You can also read more about the BioRender interview process and FAQs here!


Data Scientist

Tessian protects every business’s mission by securing the human layer

We're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts and eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. You can read more about Human Layer Security here.

Tessian has raised a $74m Series C led by renowned security investors, March Capital (Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude, Okta, Sozo, Citi & Schroder Adveq, to further our mission to secure the human layer.

Founded in 2013, Tessian is backed by world-class venture capital investors, is dual headquartered in San Francisco (US) and London (UK), with office hubs in Boston & Austin, and is one of the Top-3 2021 Best Places to Work for Women.

Data Science at Tessian

Our mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a senior data scientist with NLP experience ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning.

Companies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories:
1) You work for a business function analysing & reporting on how to improve a key metric, e.g increasing user conversion
2) You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce

3) You build the product - without machine learning, it wouldn't exist

The Data Science team built the product at Tessian. We couldn't exist without our machine learning models; they are at the heart of what we do, and they are what our clients rely on day-to-day. We're searching for a Senior Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models.

On a day to day basis you'll get to

Work across massive enterprise email datasets
Train and deploy models to production that impacts directly our customers and products
Improve our ML workflow
Work closely with our Engineering and Product Team to enhance our products.
Make your mark on ambitious projects

We'd love to meet someone who

4+ years Data Science experience
Can balance longer term projects alongside impactful quick wins
Cares deeply about the impact their team has
Is creative at heart, and can encourage novel ways of thinking in their team. This has always been a core part of the data science team’s DNA
Reads Rules of Machine Learning - Martin Zinkevich and it resonates with how they think about machine learning and data science
Enjoys “getting their hands dirty” by digging into complex operations
Takes responsibility for delivering large projects that require collaboration from start to finish
Has strong listening skills; open to input from other team members and departments
Has worked with, or understands the principles behind working with data at scale

Our mission to empower and protect people is a reflection of two of our values: Human First and We Do the Right Thing. For us, Diversity, Equity and Inclusion is also a reflection of these core values.

As a human first company, we are committed to creating a diverse, equitable and inclusive environment where all our Tessians have the opportunity to thrive. We strive for a better Tessian, and a better world. We're working inside and outside Tessian to improve diversity and equity in our industry, and foster an environment where everyone feels a sense of belonging.

Our strategy touches each part of a Tessian’s life cycle, from applicant to employee, ensuring that we keep DEI at the core of every point in our candidate and employee experience. Read more about our DEI commitments here.

By submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy