Staff Data Scientist

Fluence (Nasdaq: FLNC) is a global market leader in energy storage products and services and digital applications for renewables and storage. With a presence in 30 global markets, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable storage products, comprehensive service offerings, and the Fluence IQ platform, which delivers AI-enabled digital applications for managing and optimizing storage and renewables. The company is transforming the way we power our world by helping customers create more resilient and sustainable electric grids. For more information, please visit fluenceenergy.com.

OUR CULTURE AND VALUES

We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

We are Leading
Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.

We are Responsible
Fluence is defined by its unwavering commitment to safety, quality, and integrity.

We are Agile
We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We are Fun
We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all.

This position will be within the Fluence Digital business unit, formed following Fluence’s acquisition of San Francisco-based start-up AMS. Fluence Digital’s IQ platform uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are optimally participating in wholesale electricity markets.

About the position:
This position will be within the new Fluence Digital business unit, formed following Fluence’s acquisition of San Francisco-based start-up AMS. Fluence Digital’s software technology uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are responding optimally to price signals sent by the market.
As a Staff Data Scientist, you will provide technology leadership and partner with cross-functional teams to develop and guide our energy price forecasting products. You will be able to identify the most impactful projects, proactively remove impediments, and successfully drive towards key initiatives. You are skilled at mentorship and coaching, and passionate about growing other leaders from within the Data Science team.

Key responsibilities include:

Work alongside other Data Scientists on developing cutting edge Machine Learning (ML) algorithms to forecast energy prices used to bid renewable energy assets into energy markets
Provide strong technical leadership for Fluence Digital’s Forecasting products
Stay current with latest advances in ML and statistical methods for time series forecasting, bringing relevant advances to the team for deeper investigation and potential implementation
Investigate, evangelize and help implement software development and MLOps best practices in forecast application with a goal of constant improvement
Work with Software Engineering and Data Science teams to design, deploy and monitor ML models and pipelines in production
Define and monitor key metrics around forecasting algorithm performance
Contribute to a strong culture of R&D in the Data Science team with the goal of constant improvement in algorithm performance
Establish and communicate best practices and standards in software engineering to ensure best in class operations
Expand team through hiring as needed
Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for our work

What will our ideal candidate bring to Fluence?

7+ years of experience developing and deploying ML models to production, preferably using Python
Hands on experience or working familiarity with generating probabilistic time series forecasting using both classical and ML based techniques a plus
Hands on experience with deep learning models a plus
Knowledge of the Energy industry, especially energy markets, a plus
Demonstrated ability to collaborate with cross-functional teams and build solid working relationships — from individual contributors to executives
Experience working and delivering products or services in an agile/lean environment
Excellent communication skills

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In Colorado, the standard pay range for this role is $126,000 - 160,000 annually.  This range is specific to Colorado and may not be applicable in other locations.

Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.


Data Scientist Us

About the role
Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.
Responsibilities:

Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches
Develop the Minimum Viable Product (MVP) version of the solution
Deploy the solution in production in collaboration with the data, engineering and product teams

Requirements:

Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science
2-3 years work experience applying quantitative methods to business problems
Flexibility in working with a variety of data science approaches
Hands-on with coding, Python strongly preferred
Nice-to-have: proficiency in mathematical modeling

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Senior Data Scientist Product

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Data Scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission.
Responsibilities:

Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.

Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.

Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.

Act as an owner: It’s not done until it’s in production.  Adept at moving projects forward and able to unblock projects regardless of the role on the project.

Do less, deliver more: Familiar with the terms YAGNI and yak shaving?  Focus your efforts on high impact initiatives that really move the needle.

Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”.  Each line of code is an opportunity to blend craftsmanship with playfulness.

Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.

Stay on your edge: Continuously learning and applying emerging technologies.  Pushing yourself and your team to new heights.

Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.

If you have some or all of the following please apply:

Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred
5+ years of relevant industry experience, at least part of which in a startup environment
Succeeded in a remote work environment

Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.

Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.

Experience with Transformer-based models for language and vision
Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
Experience with multimodal systems, RecSys, and personalization is also a plus
Strong verbal and written communication
Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:

13 paid holidays

4 BetterUp Inner Work days (https://www.betterup.co/inner-work)

5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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Senior Data Scientist Pricing

Description
At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.
The Shutterfly Personalization Data Sciences Team is recruiting a Senior Data Scientist - Pricing as thought leader within a broad array of machine learning applications to help make informed pricing and promotional decisions that increase revenue and profitability.  Our growing team of data scientists and engineers will give you with the opportunity to work with virtually every form of customer purchase and engagement data, applying state of the art techniques for customer personalization and price optimization.
What You'll Do Here:
Provide thought leadership within pricing and promotions analytics and translating complex concepts for non-analytical peers within Marketing, Ecommerce, Product and EngineeringDevelop experimental designs to support test and learnApply advanced knowledge of SQL and the ability to extract and deploy complex modeling features through our MLops feature storeSize the impact of the models on key business measuresBuild machine learning models using Python which can recommend optimal product, price, offer, content and information.Provide actionable insights to drive key decisions across the marketing organization using a range of analytical/statistical techniques from descriptive analysis to predictive/explanatory modelsBe a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
The Skills You'll Bring:
MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, economics, finance or applied statistics. 5+ years of experience in developing and deploying machine learning and deep learning models including experience in the context of discount and pricing in an ecommerce setting. Exhibited knowledge of pricing and promotional strategies. Candidates should have a deep understanding of how pricing and promotions impact customer behavior and sales.Hands-on experience with linear programming tools such as PuLP for optimization of constrained pricing decisioning.Experience with state-of-the-art ML frameworks such as Sklearn, Tensorflow and PyTorch. Experience with MLops tools and platforms such as MLflow, Sagemaker and DataBricksAdvanced SQL skillsPractical experience with distributed data platforms: Map/Reduce, Hadoop, SPARKUsage of cloud compute solutions, eg. AWS, GCS or AzureExperience with version control systems such as GithubHands-on experience with Unix and shell scripting
Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I.The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed and may not be applicable to other locations. California: [$138,100 -$197,250] Connecticut, New York, and Rhode Island: [$138,100 - $179,100] Colorado and Washington: [$138,100 - $165,600] Nevada: [$129,800-$179, 100] This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/.  #SFLYTechnology


Senior Data Scientist

Company Summary
Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development. As a market leading title insurance company, powered by the nation's largest and most complete property information, ownership and recorded document database, First American is committed to advancing title automation and removing friction from the real estate closing process. Our modern title decisioning solutions create certainty and speed through data and analytics, delivered to real estate agents, lenders, title agents and homebuyers.  Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for seven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.
Job Summary
First American'sDigital Title Groupis newly formed to drive a generational paradigm shift in the way real estate is transacted. Gone will be the days of time consuming manual Title search & examination for every property.  We are re-architecting how our industry works by leveraging our unique living title data, automated search & examination processes, and data driven risk decisioning.  Our approach will remove friction from the real estate closing process, create certainty and speed through data and analytics, and offer a seamless delivery experience to real estate agents, lenders, title agents and homebuyers. This will not only transform our industry, but also directly impact >90% of First Americans $9B+ in annual revenues, a mission and team we will invest hundreds of millions of dollars behind over the next 3-5 years.
We are looking for aSenior Data Scientistto build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers.
ABOUT THE JOB
Perform exploratory analysis, construct data pipelines, build machine learning models end-to-end from POC to deployment for large scale production systemsMonitor, maintain, optimize and continuously improve the deployed machine learning solutions during day to day operationsDeploy models through docker containers on AWS/GCP/Azure that serve real time and batch prediction results for various business functionsDesign and implement scalable models with continuous monitoring and feedback collection system to enableautomatic model trainingOptimize model and data performance in terms of reduced computation time and costEstablish MDM system to track model performances and generate alerts through MLFlow, AWS Sagemaker, etc.
ABOUT YOU
PhD in quantitative field such as Mathematics, Statistics, Computer Science with 2+ years related work experience / MS with 5+ years of related work experience.Extensive experience developing end-to-end machine learning solutions and leading solution diagnosis, including designing & architecting machine learning models that solve business problems & fit into the overall engineering framework, experimentation, model pipeline build, performance optimization, integration and deploymentProficiency in machine learning, NLP & deep learning techniques for tasks involving Named Entity Recognition, document/sentence embeddings, classification. Proficiency with programming languages such as Python & SQL as well as toolkits/frameworks including spaCy, gensim, PyTorch/Tensorflow.Strong experience in building end-to-end data pipelines, model performance monitoring processes and continuous model delivery. Knowledge ofAWS Lambda, AWS Glue is a big plus.Familiarity with MLOps & common MLOps toolkits, e.g. MLflow, Sagemaker.Knowledge and experience working with engineering toolkits that are frequently used with machine learning model deployment. e.g., Git,GitHub Actions,Docker, AWS EC2, AWS ECS, AWS ECR etc.Familiarity with large scale data processing techniques & tools, e.g., multi-threaded computing, GPU computing, distributed computing in Ray, PySpark, etc.
Pay Range: $94,800 - $241,800 annually
This hiring range is a good faith and reasonable estimate of the salary range of possible compensation at the time of the posting, and is subject to change. The actual compensation offered will be determined by various factors, which may include a candidate’s education, training, experience, and geographic location.
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#LI-REMOTE
First American invests in its employees' development and well-being, empowers them to provide superior customer service and encourages them to serve the communities where they live and work. First American is committed to diversity and inclusion. We are an equal opportunity employer.
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.


Data Research Intern

Company Description
When you join Renaissance®, you join a global leader in pre-K–12 education technology!
Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters—creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide.
Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve.
Job Description
We are seeking an intern to join Renaissance’s Psychometrics, Research, Learning Science & Innovation Team. A PRLSI intern will conduct a research project to develop, prototype, and evaluate new algorithms that will shape Renaissance’s future products.
The ideal candidate plans to enter a career path in data science, educational research, computer science, or a related field. They have a demonstrated interest in human learning, teaching, cognition, or human-computer interaction.
The Learning Sciences & Innovation Team brings innovation to Renaissance’s offerings by integrating knowledge from the learning sciences, instructional design, and data science to derive new insights for educators and to yield superior learning outcomes for all learners. In addition to researching student learning models and providing analytics to support development and alignment of instructional content, the group helps to design cutting-edge solutions which run across all Renaissance products and is responsible for the infrastructure that serves all of Renaissance’s research data needs.
Support the PRLSI team’s research and development efforts in one or more projects, by developing, testing, and reporting on algorithmic models. Collaborate with internal stakeholders at Renaissance including Product Owners, Software Engineers, User Experience Researchers, and others. Create reproducible research notebooks and documentation which clearly communicate findings to technical and non-technical audiences alike.
Qualifications
For this role we’d like to see:
Candidate who is actively working toward an undergraduate or graduate degree, and eligible to work in the US. Candidate who can communicate technical knowledge at an audience appropriate level. Statistical programming experience in Python or R, and corresponding common scientific computing libraries. Experience with modern data analysis methodologies: visualization, probabilistic models, machine learning, hypothesis testing, and model evaluation.
Bonus points:
Enrolled in a graduate-level program in computer science, data science, educational research, human-computer interaction, or related area. Familiarity with databases and query languages such as SQL. Experience conducting a research study.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Salary:  $22 / hour
Frequently cited statistics show that some women, minorities, individuals with disabilities, and protected veterans, may only apply to roles if they meet 100% of the qualifications.  At Renaissance, we encourage all applications! Roles evolve over time, especially with innovation, and you may be just the person we need into the future. We hope you're open to learning new skills to grow with us. Make our team, your team!
Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law.
At Renaissance our mission is: “To accelerate learning for all children and adults of all ability levels and ethnic and social backgrounds, worldwide.” Inherent in that guiding principle is dedication to serving all identities by recognizing the importance of Diversity, Equity, and Inclusion (DEI) in our organization, our work and our products. Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.
Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.


Expert Data Scientist

The Company:
At impact.com our culture is our soul. We are passionate about our people, our technology, and our obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!
impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit www.impact.com.
Your Role at Impact:
At Impact we have an amazing opportunity to leverage machine learning and AI to drive product innovation.
You will work on our core and business products to help shape the future of what we build at Impact.  You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis.  Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results.
Leaders in Data Science can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You will deepen your skill-set by working with analytical thought leaders across the company.
With your leadership and professional expertise, you manage a team of data scientists and analysts, plan project goals and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize and launch projects that span engineering and analysis.
What You'll Do:

Lead project teams focusing on ML product development and product analytics.  Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify opportunities for design and to assess improvements for Google products.

Oversee team projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.

Collaborate with stakeholders, understand business questions, and formulate quantitative analysis that informs data driven decisions. Build data products (data sets, analysis, models etc.) and tools to drive hypothesis generation and decision making in partnership with engineering and product management teams. Create actionable metrics and design effective experiments.

Partner with Product, Engineering and Business leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.  Prioritize work to optimize the impact of the data science team.
Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Impact data structures and metrics, advocating for changes for product development and customer engagement activity.
Communicate and visualize insights to multiple levels of stakeholders with clarity, informing decision-making. Design and create interactive visualization dashboard to facilitate custom analytics, trouble-shooting, data storytelling, and evangelization of ML products to non-technical audiences.
Engage broadly with internal and external stakeholders to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.

Interact cross-functionally with a wide variety of leaders and teams, and work closely with engineers and product managers to identify opportunities for design and to assess improvements for Impact products.  Influence product teams through presentation of data-based recommendations.

Contribute to Data Science COE knowledge sharing and documentation.  Provide mentorship to junior team members.
Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product / program launches
Support organizational efforts to screen and recruit members to the data science team
Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team
Develop and communicate clear requirements and goals for team members
Provide timely and actionable feedback on performance to team members

What You Have:

Master’s Degree in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics or other quantitative Social Science fields.  PhD preferred.

7-10 years’ of tech industry work experience as a data analyst, statistician, or data scientist.  Expert knowledge of statistical data analysis, such as linear models, multivariate analysis, stochastic models, sampling methods, and experimental design.

Well versed in R, Python, and SQL, and big data query language.
Proficient with machine learning, AI, data mining and knowledge of advanced statistical modeling.  Experience with big data and cloud platforms to deploy large-scale data science solutions.  Knowledge of distributed computing framework.
Predictive modeling, machine learning, and experimentation or causal inference methods
Product Data Science or Growth Analytics, including in depth experience with experimentation
Excellent communicator able to articulate business questions and using mathematical techniques to arrive at an answer using available data.
Forming partnerships and influencing cross-functional leaders in engineering, product, design, or research
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.

Understanding of digital marketing and statistical algorithms typically used in marketing analytics.  Experience in advertising technology and affiliate marketing preferred.

Ability to navigate complex business organizations and manage multiple cross-functional stakeholders.  Experience in leading large projects preferred.
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
Free Affiliate & Partnerships Industry Fundamentals Certification by PXA

Salary Range: $165,000 - $195,000 per year, plus eligible to receive Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance.
*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits (Perks):

Medical, Dental and Vision insurance
Unlimited responsible PTO
Flexible work hours
Parental Leave
Catered lunch every Friday, a healthy snack bar, and great coffee to keep you fueled.
Flexible spending accounts and 401(k)
An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes!
An established company with a cool, high-velocity work ethos, where each person can make a difference!

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

#LI-Remote


Principal Data Scientist

Principal Data Scientist
Revenue Operations
Remote - USA
We’re seeking an experienced data scientist to join HubSpot’s Revenue Operations Group. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s revenue operations teams as well as improve the employee experience. Successful candidates will need to work with stakeholders to deeply understand their business problems, creatively design data science based solutions and lead the timely execution of the implementation of the chosen plan. We are especially interested in candidates with domain experience in natural language processing techniques. We believe that this position will be rewarding as there are significant opportunities to expand HubSpot’s internal capabilities and work on greenfield initiatives. You will also be joining a strong and supportive team of data scientists and analytics engineers that highly value intellectual curiosity.
Objectives of this Role
Build strong relationships with internal stakeholders and develop a deep understanding of their business problems.
Identify and mature data sources that will further data science and business analytics at HubSpot
Design and build machine learning and statistical models that improve the performance of HubSpot’s revenue operations group
Use data to inform key business decisions and communicate findings effectively with senior leadership
Keep current with technical and industry developments
Role Responsibilities and Duties
Query, organize, integrate and clean data from multiple sources including both structured and unstructured data.
Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation.
Leading data science initiatives throughout the entire model life cycle to improve the performance of the revenue operations group in partnership with internal stakeholders
Mature the data science practice at HubSpot by improving the breadth and depth of internal feature stores and mentoring junior analysts
Execute analytical experiments methodically to rigorously test potential solutions and strategies
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills and Qualifications
Degree in statistics, applied mathematics, economics, computer science or other quantitative discipline
5+ years experience in data science with multiple models deployed in an operational setting.
Expert level knowledge in SQL and python programming
Proficient using version controls systems (git/github)
Ability to effectively communicate data science concepts and results to non-technical audiences.
Ability to use data to persuasively present to senior management to inform strategic decision making.
Preferred Qualifications
Master’s degree in a quantitative discipline
2+ years of experience leading data science initiatives
Experience using a deep learning python framework (tensorflow, pytorch, etc)
Experience building natural language processing models

Cash compensation range: 200,000-240,000 USD AnnuallyThis resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer. The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
Per HubSpot’s policy all employees who wish to work @office or @flex or to visit an office in-person must be fully-vaccinated. At this time, @remote employees are not required to be vaccinated.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.


Staff Data Scientist

OXIO is the first NeoTelco. We are building the world’s largest, most accessible, and insightful Telecom network. Our platform empowers anyone to spin up their own carrier from a browser, scaling and supporting you as you scale your network to millions of users.

We ensure that users and devices are connected, and stay connected wherever they go: Cross- country, carrier, or cellular technology. We help them pay less for mobile data. This technology is provided through our Carrier-as-a-Service platform: BrandVNO, a fully customizable telecom service. In addition, we enable clients of our service to extract the value from telecom data - enriching their customer experience, business intelligence, and product understanding in the many markets in which we operate.

In OXIO the Staff Data Scientist is responsible for creating high-impact Data Science projects. In close coordination with stakeholders, they are responsible for leading a potentially cross-functional team in providing the best solution to a given problem. Hence, their leadership skills have developed since previous roles in data science. The Staff Data Scientist acts as a technical consultant to Product Managers from different departments. With their vast experience and skills in the major Data Science categories, they will become a highly valued asset to any project.

The Staff data scientist will be key in prioritizing and managing these (greenfield) projects, growing the DS team, and supporting the growth and development of the more junior data scientists in the team.

The team you’ll be part of
The OXIO data science team extracts value from the vast amounts of data our network / telecom services collect. The team works closely with the data engineering and BI teams to obtain the data in the right format and frequency. The team interacts with business owners to deliver data products in the way it supports OXIO internal and external stakeholders.

In the words of one of our Data Scientists Golrokh: “Being a data scientist in OXIO gives you the opportunity to drive value from the ever growing  telecom data and make a direct impact on the final products of the company. You'll get to work on the unique projects that bring out your creativity and make you think outside the box. Every day you will learn something new, you’ll use the most recent and state of the art tools, and last but not least you get to work with dedicated people that will never stop helping you to grow.”

A day in the life
As the staff data scientist in the OXIO data science team you will lead and work on 3 key Data science product groups:

- Telecom customer experience - Including A/B experimentation, churn prediction, personalized plan recommendations, retention feature importance

- BrandIQ - Our proprietary data product that allows clients to extract value from telecom data. Examples include interest modeling, behavioral modeling, competitive intelligence

- Network anomaly detection - As our services cross carriers and cellular technology, it is key to detect anomalies in live network and data feed in order to act upon issues before they impact our end-users

These projects are supported by the collection of several OXIO data sources, including:

- Geo location data - Either from cellular GPS or network access point locations

- Internet traffic data - Header data of network flows, including IPs, hostnames, etc.

- Telecom Consumption data - often referred to as CDRs - data / voice / SMS consumption

- Mobile Network data

- Sales / account data

The data science team uses different programming languages and frameworks, including SQL, Python, Airflow, Sagemaker and Snowflake.

Qualifications
- Bachelor’s degree is required, with preference given to Quantitative degrees (Mathematics, Computer Sciences, Engineering, etc.)
- 7+ years’ of experience with Python, Shell Scripting, SQL, R, Hadoop, Spark, or Pig
- Demonstrable experience in shipping DS powered solutions from strategy into production
- Demonstrable experience in deploying DS powered solutions in streaming applications
- Experience with working in a fast growing startup environment, having demonstrably contributed the growth of a team
- Ability and technical aptitude to create observations and build models to predict and recommend business outcomes
- Analyzing complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
- Demonstrable experience in managing a team of data scientists / analysts
- Preferred: Demonstrable experience in Telecommunications and/or adtech
- Preferred: Master’s degree, preference given to a quantitative degree (Mathematics, Engineering, Computer Sciences, etc.)

Our culture and team

At OXIO, we put our people first. Some of our core values and approaches include:

- Creating a fun environment that empowers you
- Thinking about how to do things better, not how its been done
- Show up for your team, be early, don’t whine or complain without a solution (Pete Carrol)
- Everything has a DRI (Directly Responsible Individual) – ownership and accountability matter
- OKR’s at the bottom should reflect OKR’s at the top
- Don’t get stressed about the future not happening fast enough: you alone can help change it
- You have the power to change one of the most important and dominant industries in modern times
- Management must lead by example with work ethic, empathy, and high expectations
- Our success is built on our unique and disruptive products, provided not only to our enterprise customers, but also to their own customer base
- We are a diverse and inclusive organisation that values diverse points of view and opinions.  We believe in empowering individuals, but also realize that team collaboration drives our business forward
- OXIO has a strong technology centric culture, starting with our CEO who has led 2 startups in the space into successful exits.
- Our organization is distributed with Headquarters in New York City and offices in Montreal, Mexico City and Sao Paulo
- Being global and distributed, English fluency ensures we can all communicate, but we place importance on understanding and embracing cultural diversity.

Benefits

- Be a sub-100 team member at a fast growing start-up
- Have a big impact relative to a small role in larger tech organization
- Mentorship and improvement opportunities
- Career path and growth in individual contributor (IC) tracks as well as management tracks
- Competitive healthcare benefits according to country
- Competitive compensation and a stock option incentive program to ensure long term alignment within the company
- International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup


Data Scientist

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Illinois  - Moline
Function: Data & Analytics (CA)
Title: Data Scientist - REMOTE - 96653
Onsite/Remote: Remote Position
This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.
Visa sponsorship is NOT available for this position.
Your Responsibilities
As a  Data Scientist  for  Deere & Company World Headquarters  located in  Moline, IL , you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. A primary focus of this role will be to improve sales and demand forecasts and stocking recommendations, ensuring service parts are available at a dealership when customers need them. You will follow the Aftermarket Analytics Delivery Process to:
Collaborate with business stakeholders and analytics team members while taking ownership of complex projects which convert abstract concepts into data science solutions
Query and manipulate complex datasets to prepare data for analysis
Develop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholders
Lead code review, validation, and design review activities to ensure and demonstrate high-quality output
Participate in strategic roadmap planning and assist in defining project proposals and scope
Communicate results at multiple levels of technical detail to various stakeholders
What Skills You Need
2+ years of experience with a statistical programming language (Python, R, or similar)
2+ years of experience of advanced SQL programming
2+ years of experience executing data science projects involving advanced techniques (such as statistical analysis, predictive modeling, forecasting, data visualization, and machine learning) from beginning to end
Skill in interpersonal communications and ability to communicate complex topics to non-technical audiences
What Makes You Stand Out
Experience using Spark through python and/or Databricks
Experience with sales and demand forecasting using time series and/or other regression approaches
Knowledge of supply chain concepts, inventory optimization, and constraints
Knowledge of dealers, products, customers, markets, and companies in the heavy equipment industry
Advanced understanding of dealer channel aftermarket processes, digital solutions, and metrics
MS degree in related discipline
Education
Ideally you will have a degree or equivalent related work experience in the following:
BS Degree discipline or equivalent experience - University Degree (4 years or equivalent)
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Benefit Pension)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
Follow this link to learn more about our Total Rewards Package  https://bit.ly/3XCd8fL
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.


Senior Product Data Scientist Search

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
This role is part of our Cash App’s Product Data science org and will be deeply embedded within our Search & Discovery team. You will use data science to better understand our customers and offer them delightful experiences to find and discover people and things quickly and with trust - we aim to grow and strengthen the connections between people and businesses across the globe. Through your work, you will empower Cash App to personalize customers’ search and discovery experiences with DS/ML, to better understand customers’ journeys, and help identify and execute on new opportunities for product improvement. You will test and employ a variety of analytical and modeling techniques on our comprehensive data and scale your solution to production by partnering closely with machine learning, product, design, and engineering teams.
Qualifications
You will:
Partner directly with a Cash App product team, working closely with product managers, engineers, designers, and machine learning engineersAnalyze large datasets using SQL and python to surface meaningful & actionable insights/opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Additional Information
You have:
A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role ORA graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, preferably Python Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience with state of the art machine learning techniques such as regression, classification, recommendation system, and causal inferenceExperience with ElasticSearchExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building

Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Square Go

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. Whether it’s the food truck that’s establishing a brick & mortar restaurant, the former sole proprietor adding her first employees, or the entrepreneur expanding from one location to ten, as our sellers scale, so do our solutions. We all grow together.
Job Description
Square Go is a new consumer marketplace and booking management app for businesses using Square Appointments. We are looking to put some of the superpowers that we have built for businesses into the hands of their customers, while helping to grow those businesses by bringing in new customers discovering their next barber, nail salon, or other service provider in our marketplace. You will be the team’s first dedicated data scientist that closely partners with 4–5 software and ML engineers, moving fast and experimentally (e.g. think quarterly planning instead of annual planning), and putting on (and swapping) multiple hats.
You will:
Partner with the Square Go team to make data-driven decisions that have significant impact;Define the data vision and execution for general buyer-facing properties at Square;Apply a diverse set of techniques including statistical analysis, machine learning (ML), analytics, and data engineering to generate strategic insights;Collaborate with ML engineers on interesting ML initiatives ranging from categorization to search/recommendations;Communicate analysis and recommendations to high-level business partners in verbal, visual, and written forms;Develop resources and collaboration processes to empower data access and self-service so that your expertise can be leveraged where it is most impactful.
Qualifications
You have:
4+ years of data science experience or equivalent;Fluency with Python and SQL;Solid statistical foundations (e.g. A/B testing);Familiarity with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and curiosity to learn more modern techniques (e.g. NLP) as required;Familiarity with data engineering best practices;Experience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Excellent verbal and written communication.
Nice to have:
M.S or Ph.D. in a quantitative field (e.g. mathematics, statistics, or similar STEM field);Experience working on online marketplace products / mass market consumer-facing apps.
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Head Of Network Science And Behavioral Modeling

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We've been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees' creativity and productivity wherever they are.
Check out our locations, benefits and more at cash.app/careers.
Job Description
Are you bored optimizing ads?  Do you really want to change the world rather than just say you are?  Do you want to be part of the business and have direct influence over business strategies rather than being a “just another scientist”?  If so, we have the role for you.
We are hiring for the Head of Network Science and Behavioral Modeling at Cash App.  Understanding how network effects enable customer engagement and retention is a strategic priority for Cash.  In this position you will have complete ownership and responsibility for building, maintaining and analyzing Cash App’s customer graph for purposes of community finding, business segmentation, quantifying network effect / virality and overcoming customer “cold start”. Your role is specifically responsible for helping management locate sub-networks and quantify the social influences on these sub-networks within both the Cash App and broader Block ecosystem.  The output of your work will be used directly to build products, forecast business results and measure the impact of marketing campaigns.
Additionally, you will manage other data scientists in the development, implementation and maintenance of a suite of behavioral models to predict customer behavior, specifically churn, winback, product attach and the movement of funds in and out of the cash app ecosystem.  The results of these models will be used to drive top-line business decisions, communicate strategies to Wall St. and influence investment decisioning.  It is of utmost importance that the modeling specifications are interpretable by a business audience.
You will report directly to the Head of Quantitative Finance and Strategy and you will present your results to an Executive Audience on a regular basis.  Understanding our networks from a quantitative standpoint is a strategic priority for both Cash App Executives as well as the Board of Directors.
Because of the high-profile nature of this role we are looking for someone who not only specializes in graph science but also can present to executive management and has the ability to manage a team of data scientists focused on behavioral model development.
Qualifications
You have:
PhD in a quantitative field such as Statistics, Computer Science, Physics or a PhD in Social Sciences with a strong quantitative background5+ years of experience in network science specifically related to community finding (modularity maximization, spectral clustering, hierarchical, etc.) and network effect measurement / scoring 5+ years of behavioral modeling using both parametric and non-parametric techniques (classification / time series)Knowledge of Python, Graph Databases, Docker, Snowflake, Databricks and PrefectUnderstanding of how social influences affect customer behavior and spending patterns
Nice to have:
Understanding of Cash App business model and how network effects, virality and the macroeconomic environment influence our businessExperience leading a team and presenting results to executives up to and including CEO
Technologies we use and teach:
Python (NetworkX, NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)MySQL, Snowflake, GCP/AWS and Tableau
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $202,500 - USD $247,500
Zone B: USD $192,400 - USD $235,200
Zone C: USD $182,300 - USD $222,800
Zone D: USD $172,200 - USD $210,400
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager Crypto

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at cash.app/careers!
Job Description
Cash App is looking for a Data Science Manager with a deep interest and passion for bitcoin and data to lead our Crypto data science team. The Crypto team’s mission is to empower individuals across the world by providing financial services based on bitcoin and other digital assets.
As the lead of the Crypto Data Science team, we expect you to develop and maintain strategic partnerships with key stakeholders to ensure that our data science initiatives are aligned with the overall business strategy. Your leadership will be crucial in defining the team's roadmap, optimizing existing processes, and generating strategic research that will inform our product development decisions. To be successful, you will leverage your expertise in data science and your understanding of our Crypto products and market to drive impactful change. You and your team will contribute reusable frameworks and processes back to the foundational Data Science team, elevating the skills and capabilities of the entire organization.
Cash App became the first public company to launch bitcoin purchases in 2018 and since then we’ve added a full ecosystem of bitcoin products you’ll be supporting, from bitcoin buy/sell to novel technologies like the lightning network. Because your team will work with bitcoin data across multiple touchpoints (internal systems, blockchain, lightning network, etc.) a solid understanding of how these technologies function and demonstrated experience/interest working with this data is a big plus.
As a Data Science Manager you will:
Lead the Crypto data science team within Cash App and manage one Data Scientist with potential for scaling it upPartner with senior Crypto leaders from Engineering, Design and Product to set and drive a long-term vision for this teamIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designDevelop your team members ability to partner strategically (not just on execution!) with their workstream partnersOffer technical mentorship to existing team members, focusing on their long-term growthUse data and expertise to build compelling narratives that communicate ideas and opportunities to gain buy in and build alignment, with both internal and external partners
Work directly with blockchain and lightning network data to track and optimize the performance of our external crypto payments over those networksDrive proactive research to identify product opportunities within Cash App’s crypto product ecosystem
Qualifications
To be successful, you should have:
8+ years of Data Science experience, with at least 2+ years of experience as a direct Manager of Data Scientists or Data AnalystsDeep interest and passion for bitcoin and blockchain dataEnough (and recent) proficiency with Python, SQL and other relevant tools that will allow you to support and mentor the team and encourage their technical growthStrong communication and the demonstrated ability to translate insights into impactExcellent business acumen and a self starting, growth centric mindsetExperience in a high-growth tech environmentIntellectual curiosity and a passion for what Cash App is building
Technologies we use and/or teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Mode, Tableau, Looker
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $245,100 - USD $299,500
Zone B: USD $245,100 - USD $299,500
Zone C: USD $245,100 - USD $299,500
Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Fraud Risk

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes and controls to root out high-risk fraudulent activity across the Square platform. You will also manage top level Risk KPIs, establish core operational metrics, formulate strategy and implement controls to detect and prevent fraud on the platform. Apart from working on fraud problems that pose a direct financial risk to our Sellers and to Square, this role will also focus on detecting and rooting out abuse of our customer messaging capabilities (e.g. email marketing, invoices, chat etc.) for the purpose of phishing, scams or spam.
You will lead experiments to measure the effectiveness of our strategies. You will partner with product, engineering, risk operations/policy and sales teams to influence Squares global Risk road map and processes. You will define, set targets for and own key metrics around financial fraud and messaging abuse and be responsible for strategies to achieve the targets.
You Will
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
5+ years of relevant experience post Bachelors degree (or Masters with 3+ years of relevant experience)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam/phishing/scam prevention and detection is preferred but not a requirement for the role.
Additional Information
At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, social or health conditions, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
This role will be embedded on our Risk ML team. In this role you'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)MySQL, Snowflake, GCP/AWS and TableauJava
Qualifications
You have:
8+ years experience with applied Machine Learning or Deep LearningA graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical fieldWorked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML modelsA track record of providing mentorship and technical leadershipAn appreciation for the connection between the software you build and the experience it delivers to customers
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.