Senior Data Science Manager

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
The Data Science team is a central function that seeks to leverage data to help make better business decisions. This team leverages various data sources and quantitative techniques to synthesize narratives around how our customers use our products and develop critical insights and actionable recommendations for our business.
We are looking for a talented senior manager to lead a team of data scientists to answer critical questions about growing our revenue, transforming our business, and understanding the impact of our initiatives. In addition, you will collaborate with cross-functional leaders to develop a deeper understanding of our users to build the right product to meet their needs and achieve business objectives.
You will prioritize and align key analytics projects for your team and communicate quantitative insights and narratives broadly across all levels of the organization. You will also have the unique opportunity to define what data science means at Dropbox, influencing teams across the company to understand better how they can leverage information and insights to achieve their ambitious goals. Moreover, you will get the opportunity to lead a fantastic team of talented, curious, passionate data scientists to shape the future of our business.
Responsibilities
Build and manage a high performing team of data scientistsCoach and mentor data scientists of varying experiences to ensure their continued growth Plan, execute, and complete mission-critical data science projects and provide technical leadership in a fast-paced environmentProvide quantitative insights and perform analytical deep-dives to proactively identify growth opportunities and inform future learning, product experimentations, and product roadmaps  Steer the team in creating ML models to enhance our product experience, including a personalized onboarding experienceIdentify key metrics and create automated dashboards to monitor and report on the health of the businessSimplify complex concepts to a broad audience, leaning on excellent communication skills, both verbal and writtenCollaborate with cross-functional teams, including Product, Engineering, Design, Marketing, and Research, to execute against our roadmap quickly and iterativelyUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelor’s degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years of industry experience as a data scientist3+ years of experience directly managing data scientists, quantitative researchers, or product analystsAbility to lead a high-performing team and inspire others Ability to influence prioritization and execution of high visibility projects that affect customer experience as well as monetizationExperience analyzing large datasets and using data to inform product and business decisions that led to measurable outcomesExceptional verbal and written communication skillsComfortable with SQL and large datasets, strong understanding of statistics, experimentation, and modeling
Total Rewards
For candidates hired in Colorado, the expected salary/On-Target Earnings (OTE) range for the role is $165,100 - $194,200 - $223,300.
This salary/OTE range represents the low, middle, and high end of the salary or OTE (Sales roles) range for this position, and is subject to change. To determine a Dropboxer’s starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. This position may be considered a promotional opportunity.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families.  Our benefits and perks programs include, but are not limited to:
Competitive medical, dental and vision coverage(US Only) Competitive 401(k) Plan with a generous company match and immediate vestingFlexible Time Off/Paid Time Off, paid holidays, 11 Company-wide PTO days, Volunteer time off and moreProtection Plans including; Life Insurance, Disability Insurance and Travel benefit plansPerks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much moreParental benefits including; Parental Leave, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support  Mental Health and Wellness benefits Free Dropbox space for your friends and family
Additional benefits details are available upon request.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).


Data Scientist

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

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

About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.

Responsibilities:

Understand the business goals, ask right questions, define metrics, analyze patterns and trends, extract key findings, evaluate feasibility with available data, develop solutions, and communicate the results back to business
Identify growth opportunities based on data and provide well organized analysis for open ended questions
Evaluate the impact of new features, conduct controlled experiments and provide advanced data analysis using statistical modeling techniques such as regression, classification, time series modeling, causal inference and clustering.
Help stakeholders make better business decisions with insights and actionable recommendations
Become a subject-matter expert on marketplace and supply/demand dynamics

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

BS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years experience in a data science role or equivalent
Strong experience with SQL
Knowledgeable in Python programming
Experience in solving business real world business problems with predictive and statistical learning methods
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, sampling
Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences
Experience with CDP, DBT, Looker, Tableau, or similar tool is a plus

Bonus Points

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

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

You’ll love working here because:

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

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

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

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

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

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


Data Scientist Machine Learning

Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free.  We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services.  Our purpose is clear, to make financial inclusion and wellness a reality for everyone.

We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members.  This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.

You'll...

Join a centralized Data Science team that is part of our larger Engineering org;
Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms;
Collaborate with the Analytics team to design and analyze experiments which test the performance of our models;
Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business;
Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team;
Design and implement efficient pipelines both for model maintenance and for model deployment;
Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams.

You're a great fit for our team because...

You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate;
You can communicate clearly and confidently to technical as well as non-technical audiences;
You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.);
You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Altair, and others is a plus;
You have experience translating machine learning predictions into actionable recommendations for solving practical business problems;
You have strong proficiency in writing correct and efficient SQL queries;
You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
You have knowledge of statistics and experiment design;
You are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
You can juggle multiple tasks in a fast-paced environment;
You can work in a cross-functional team and manage multiple stakeholders;
You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment.

(Pluses) You have experience:

Building machine learning models that were deployed as a service, with predictions being made in real time;
Solving constrained optimization problems by leveraging business rules alongside machine learning models;
Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions;
Building production-grade models for ranking content displayed to users;
Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects);
Formulating and building models to predict customers’ Lifetime Value (LTV);
Predicting customer churn and/or retention.

You'll love it here because...

you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.

We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.


Associate Director Analytics Data Science

We are an assembly of data, talent and technology.

Media Assembly and ForwardPMX have joined forces to form the new Assembly, a global marketing services company designed with the modern mixture of omnichannel media expertise, powered by data, technology and business consulting solutions that help the best brands on the planet find the change that fuels growth.

We’re not built like anyone or anything else. We’ve assembled a market-leading collection of data, talent and technology to deliver something that’s truly distinct and capable of driving transformation, change and growth to marketing leaders worldwide.

When you become part of Assembly, you become part of a global community of digitally-led experts – with 1,500 people in over 20 countries and 30 office locations around the world. We pride ourselves in our global thinking, matched by a specialized local approach that enables brands to understand, engage and move consumers anywhere they are.

We believe in a world where Purpose is on par with Profit, and as a modern business in a dynamic and influential space, we have a responsibility to use our position to impact meaningful change. It keeps us connected to each other and to the world around us, and we are here to make our mark.

Assembly is looking for an Associate Director, Analytics & Data Science.

Data drives strategy. Assembly’s Data Science & Analytics practice helps internal and client stakeholders take a scientific approach towards optimizing critical business and marketing decisions. Our forward thinking in Data Science & Analytics is a key differentiator that has contributed to Assembly’s recognition as Ad Age’s 2018 Media Agency of the Year. This position will work directly with a Fortune 50 leader in the healthcare space, with an innovative approach to omni channel media, measurement and analytics.

This role requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, and high proficiency at problem solving with expertise in offline & online media. The candidate must have a proven track record in data-rich analyses and be a team player. A “roll up the sleeves” approach is mandatory and a “get it done” attitude is a must. Specific responsibilities include coordination between the strategy, planning, research, analytics & media teams ensuring high quality analytical projects are effectively delivered.

Successful candidates will be multidimensional strategic thinkers who can contextualize data effectively and turn numbers into actionable insights and are able to communicate these succinctly to a broad client and media stakeholder audience.

Requirements:

Minimum 5 years of experience in leading/performing analytics in marketing sciences capacity at a market research, consulting, media or retail firms
Minimum 1 year of management experience
Experience working with complex large-scale clients
Recommend appropriate analytic methodologies and be a subject-matter expert for advanced analytics techniques
Partner with internal channel & planning teams to own weekly, monthly and quarterly reports, trends, insights and recommendations
Conceptualize & refine analytics dashboards to improve the effectiveness of digital online and offline marketing programs
Design and enhance media planning optimization reports across all channels such as Search, Programmatic, Social, TV, and Digital Video platforms
Supervise and mentor members of the analytics team
Excellent communications skills
Strong presentation skills
Proven ability to develop a point of view, lead, and communicate complex, technical concepts to a broad audience
Define and execute new process improvement opportunities across automation, data collection, forecasting, and building dashboards
Experience in a cross-functional team environment
Media agency experience a big plus

Technical Skills:

Knowledge of media measurement
Ad serving platforms (e.g. DCM) and digital marketing metrics
Website analytics software (e.g. Adobe Analytics, Google Analytics)
Proficiency with visualization software (e.g. Tableau) and querying languages like SQL
Proficiency with statistical programming languages like R or Python
Familiarity with modeling techniques like logistic regression, random forests, etc. to be able to translate data science findings in a client-facing environment
Expertise in the digital marketing ecosystem
Strong analytical skills with solid foundation in statistical techniques
Ability to look at the bigger picture and translate data into strategy

At Assembly, we believe every career is as unique as the individual and empower employees to reach their full potential in a winning culture motivated by a powerful purpose.

Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, gender identity, status as a protected veteran, among other things, or status as a qualified individual with disability. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. EEO Employer M/F/Vet/Disabled.

#LI-Remote


Senior Data Scientist

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators.  Our mission is to derive wisdom from data via the application of Data Science.
Wish has exciting opportunities for talented Data Scientists on our Buyer Side (Product) data science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU.  Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale.
What you'll be doing:
Proactively develop insights and ML models to help us drive marketplace supply quality, diversity and merchant services.Improve our Wish Standards algorithm design to drive better merchant quality.Build the listing quality models to determine the content (title, description, image, video) policy and improve buyer experience.Lead the design, analysis, and interpretation of experiments that shape decision-making across the company.Translate the business problems as DS/ML problems and apply those in a large scale production environment.Become the supply data science tech lead to generate knowledge sharing, trainings and consultations for stakeholders, and model documentation.Mentor junior data scientists on how to use more advanced methods and solve business problems.
Qualifications
Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Operations Research, Mathematics, etc.) with 3+ years of relevant work experience.Working knowledge in one or more areas among: Machine Learning – Classical methods / Deep Learning / Reinforcement Learning, Causal Inference, Statistics, Optimization, Scraping at scale.Expertise in Python, SQL, Airflow, Tableau, and strong coding experience and knowledge to make algorithms scale.Experience with leading data science projects from conception to production.Strong business acumen and able to communicate analysis with clarity and precision.Experience in driving marketplace supply insights and growth a plus.
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Data Scientist Trust Safety

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
Wish has exciting opportunities for talented Data Scientists on our Trust & Safety Data Science team. This is a unique opportunity to conduct research, as well as develop and deploy Machine Learning models to address complex business questions such as fraud detection and anomaly detection at large scale.
Successful candidates will have extensive backgrounds in quantitative fields and significant experience with Machine Learning model development and deployment, as well as making impact with the end to end closed loop of data -> insights -> actions -> feedback.
In short, we are looking for people strong in: Machine learning theory and practice, data analytics and business acumen.
What you'll be doing:
Working closely with the Chief Compliance Officer to write anti-money laundering rules to safeguard our business against expensive regulatory escalations.Maintain and approve machine learning models in one or both of these areas: machine learning models to detect misleading / ambiguous product listings on Wish and/or models to detect malicious product editing on WishWorking closely with a third party vendor and/or in-house anomaly detection tools to find fraud attacks on a large scale to defend our platform against large losses of money and user trustYou will perform all aspects of data science in risk: data analytics, research, model development, deployment and monitoring - owning projects end to end, with concretely calculable impact. You identify the insights and data needed, and set priorities by the final impact. You understand the dual goals of the risk domain: fighting fraud and growing the business. You can clarify strategic and tactical objectives and prioritize tasks for yourself and the team. You proactively watch for signs of trouble, articulate with data, and craft hotfixes or long term solutions, depending on the situation and your judgement.You own foundational work that enables your direct colleagues as well as other teams. You enjoy managing stakeholders, multi-team projects, taking end-to-end responsibility and ownership over a project.
Qualifications
Energetic and flexible. We own the actions. We own the impact. We iterate fast because fraudsters do. You are a team role model for technical excellence and communication style. You will provide input to technical decisions and uplevel the team’s ML capabilities in one or more major areas (e.g. misleading content models or malicious product edit models).Theory and practice of Machine Learning. 1+ years of hands-on industrial experience on most ML/DL algorithms and big data technologies. System design and programming. 1+ years of hands-on industrial experience with ML system design and implementation. We productionize code ourselves, and we love it to be clean.
Preferred Qualifications:
Background in Payments, Risk or E-commerce strongly preferredProduct sense. You always start from business problems, not technical details. Communication. You enjoy managing stakeholders, complex multi-team projects management, taking end-to-end responsibility and ownership over a project. Education. Masters in computer science, data science, or a related quantitative field.Domain expertise. Previous experience in fraud detection and the unique challenges applying ML in this area.
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Data Scientist

Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.

Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

If you are inspired by inspiring others, Best Egg is the place for you.

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

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

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

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

Duties & Responsibilities

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

Requirements

You should have a Master or PhD in quantitative fields, preferably Math, Physics, Engineering, Computer Science or Data Science.
3-5 years (or more) experience.
You should have a solid foundational understanding and experience of the technical aspects of Data Science – statistics, machine-learning techniques and big data query/manipulation (structured and un-structured), be familiar with at least one of the machine learning languages. Knowledge in Amazon Sagemaker is a plus
Experience in at least one of the following is required: supervised machine learning, adaptive models, web scraping, deep learning, chatbot, NLP, recommender system, network graph, credit risk, marketing mix/attribution, time series modeling or image processing.

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

Our Brand:

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

Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
·       Pre-tax and post-tax retirement savings plans with a competitive company matching
         program
·       Generous paid time-off plans including vacation, personal/sick time, paid short--
        term and long-term disability leaves, paid parental leave, and paid company
        holidays
·       Multiple health care plans to choose from, including dental and vision options
·       Flexible Spending Plans for Health Care, Dependent Care, and Health
        Reimbursement Accounts
·       Company-paid benefits such as life insurance, wellness platforms, employee
        assistance programs, and Health Advocate programs
·       Other great discounted benefits include identity theft protection, pet insurance,
         fitness center reimbursements, and many more!


Data Science Manager Consumer Products

While the ideal location is San Francisco, we are also able to hire remotely.
Udemy is looking for a Data Science Manager for our growing Consumer Product Decision Science team. This team is a critical partner to the company’s product teams working on optimizing consumer engagement to grow the business by delivering the right value to its customers.
Our Consumer Product Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive the product development process at Udemy.
Here Are Some Questions You Could Be Working On:
How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
How do we assess the impact of the native mobile experience on learner engagement and retention?
How do we measure the overall health of the mobile experience for learners and instructors?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the domain
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Consumer Product Decision Science team
Provide both technical and strategic guidance to team members
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track the health of the product.
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences.
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design.
Ability to communicate effectively with non-technical stakeholders.
Strong business and product intuition as well as judgment.
Strong data storytelling and data visualization ability.
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred).
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has a strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
Minimum Salary Expectations: $192,000
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 10 paid holidays throughout the year
#LI-HC1


Senior Data Scientist Insights Udemy Business

About UdemyUdemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.
In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!
At Udemy, data scientists generally belong to one of three career tracks:
Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.
Inference: Focused on causal or statistical inference for interpretation of data.
Algorithms: Focused on machine learning and building production data products.
Specifically, Udemy Business is a SaaS offering that provides employees of companies with access to a specially curated collection of business-relevant and technical courses delivered through the Udemy platform. In this role, you will collaborate with product managers, marketers, designers, and engineers to guide product decision-making through a combination of metrics and reporting, data analysis, data visualization, and experimentation design. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Relevant questions
What are the right metrics for measuring the employee learning experience for Udemy’s enterprise product?
What dashboards and tools can Udemy build to provide actionable insights for enterprise clients?
How should we measure the impact of new feature launches for the enterprise product?
How can the Udemy Business product drive outcomes for business clients?
Responsibilities
Influence prioritization and key business decisions through data-driven insights
Serve as a subject matter expert and help drive the data science roadmap in your business or product domain
Define metrics and build operational dashboards to track business and product health
Design and analyze randomized controlled experiments
Develop robust data pipelines and continuously improve the quality and accessibility of data
Build Udemy’s technical brand through talks, blog posts, and publications
Provide mentorship for junior team members
Take responsibility for leading major team initiatives
Qualifications
7+ years of relevant hands-on experience in product or business analytics roles
Demonstrated track record leading major team projects in prior roles
Ability to communicate effectively with both technical and non-technical stakeholders
Strong business intuition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics and experimental design
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.
Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Locations
Boston, MA (preferred)
Remote (East Coast), US
Dublin, Ireland
We are proud to be recognized for our world class employee experience:Business Insider SF: Best Places to Work Bay AreaBuilt In Colorado: Best Places to WorkBest Workplaces (Great Place to Work List): #1 in Turkey #5 IrelandCertified Best Place to Work:  Dublin for WomenFortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.
#LI-ST1
#LI-hybrid


Senior Data Scientist Insights Consumer Products

While the ideal location is San Francisco, we are also able to hire remotely.
About the Role
As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.
As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Here Are Some Questions You Could Be Working On:
How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
Here Is What You Will Be Doing:
Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain.
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
At least 2 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intu
ition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
Minimum Salary: $115,000
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 10 paid holidays throughout the year
#LI-SR1


Staff Research Scientist

The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. As a whole, the Machine Learning team builds, enables and evaluates our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.

The Role
As a Staff Research Scientist with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

Position Location - This role is available in the following locations: Columbus, Austin or Remote (#LI-REMOTE)

Time Zone Requirements - This team operates on either the East or West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

What we’re looking for:

Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred
Generally 4-5+ years experience in autonomous research and development of high impact production models in the real world
Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
Ability to discover and deliver significant improvements to Upstart's core business while setting the standard for quality and velocity

Programming expertise with Python with proficiency in writing clear, bug-free and well-documented code that runs well and is easily understood

Proficiency in many, with deep expertise in some- mathematical, statistical learning and machine learning concepts

Knowledge of machine learning, pipelines and engineering architecture with detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps

Ability to lead several projects that may involve multiple team members
Adeptness in dealing with technical challenges and trade-offs; ability to make reasonable decisions under uncertainty; and to prioritize effectively

Capable of leading team members on technical best practices, providing constructive feedback and mentoring to junior team members; ability to provide comprehensive and useful design and methodology reviews for ML projects.

Ability to navigate and work well with cross-functional stakeholders on projects with an understanding of how to deliver appropriate amount of technical communication communication to stakeholders to serve team or business needs
Ability to communicate technical concepts to a non-technical audience
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values

What you’ll love:

Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage
Personal Development and Technology & Ergonomic Budgets
Life insurance and disability benefits
Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
Catered lunches + snacks & drinks

The minimum base pay for this position in Colorado is $155,000 + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations.


Senior Data Scientist Analytics Market Optimization

Who we are: OpenX is a top player in the AdTech industry in the World specializing in programmatic advertising, powering monetization and advertising revenue for publishers (i.e. websites, mobile apps, CTV and OTT apps, etc.), and providing highly targeted audiences for advertisers, brands, and agencies. We have seven offices located around the globe (in the US, the UK, Poland, and Japan). Our Ad Exchange platform handles billions of ad requests daily connecting thousands of publishers with demand partners. It’s fully containerized running in the cloud in multiple regions across the world. That’s the place where each millisecond matters.

We are operating at a scale:
100% Cloud-based (GCP) platform
Over 250 billion Ad requests every day
Over 120 000 CPU daily
Over 140 TB RAM daily
Over 50 PB of data per week
Over 1200 production deployments a month

Who we are looking for
OpenX Technologies, Inc. is looking for Analysts to join our Market Optimization team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. We're looking for Analysts who will use analytics and A/B testing to dig through the noise to identify and implement optimizations that increase yield for our publishers and efficiency for our buyers.

The ideal candidate has a passion for telling stories with data, an ability to explain complex ideas to a broad audience, and a keen eye for levers that drive business value.

If you’re:
Open-minded - happy to give & receive feedback, not afraid to fail, and move on
Proactive - always want to find a satisfying solution
Self-organized and self-motivated
We want to talk to you.

What we offer

Working with the newest technologies such as Cloud Computing (GCP)
Experienced Team (50% of the company are senior developers!)
Challenges at work that are difficult to find anywhere else!
Solving important problems in a scale
Joining a company that is growing and scaling
Flexible working hours & remote work option

Key Responsibilities

You'll be responsible for identifying and prioritizing the biggest opportunities for optimization across the exchange
You will leverage sound analytics, A/B testing, and industry knowledge to help tech/product make sound decision making
On an ongoing basis, you will be monitoring, optimizing, and troubleshooting OpenX's programmatic marketplace with an eye towards automation

Required Qualifications

5+ years of experience in an analytics role
Proficiency in SQL and programming experience in Python
Experience designing and executing A/B tests
Solid grasp of probability and statistics, especially techniques that scale to massive datasets
Communicative Polish and English languages
Strong communication and presentation skills
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics or related. Advanced degree (MS+) preferred.

Our benefits

Annual performance bonus
Tax-deductible system due to copyright protection
Private health care for you and your family (covered by OpenX)
Private life and travel insurance (Covid insurance included)
MultiKafeteria program
Training: access to the LinkedIn Learning platform, Tech workshops, English lessons
Holiday Allowance
Pension scheme (PPK from PZU)
Additional paid day off
Free parking lot
Sports activities: online yoga/stretching classes :)
Access to peer to peer recognition platform
Possible trips to California once in a while
Company events (online during the pandemic time)
Monthly work from home allowance and one-time payment when you join us to help you set up your home office
We celebrate team members' important personal milestones (vouchers, gifts)

Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

OpenX Values
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

We are one
One team. No exceptions. We are a group of strong and diverse individuals unified by a clear common purpose.

Our customers define us
We know our business flourishes or dies because of our customers.

OpenX is mine
We are all owners of OpenX. We stake our personal and professional reputations on the excellence of our work.

We are an open book
We are eager to teach and share what we know with others.

We evolve fast
We take risks and confront failure openly. We recognize and repeat success aggressively. We actively seek out and provide constructive criticism.

OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

Data wejścia w życie: 1 marca 2022

Polityka prywatności kandydatów do pracy OpenX

Niniejsza polityka prywatności określa sposób, w jaki OpenX (łącznie "OpenX" lub "my") wykorzystuje i chroni Twoje dane osobowe w celu oceny Twojej kandydatury na stanowisko w OpenX.

Twoje dane osobowe są przekazywane do naszego dostawcy oprogramowania do zarządzania rekrutacjami kandydatów, w celu prowadzenia rejestrów i śledzenia Twojego statusu rekrutacji i informacji o Tobie.
Zachęcamy do zapoznania się z całą polityką, ponieważ zawiera ona ważne informacje na temat Twoich praw i naszych obowiązków w odniesieniu do Twoich danych.

Dane, które gromadzimy
Jeśli ubiegasz się o pracę w naszej firmie, będziemy gromadzić, wykorzystywać i przechowywać Twoje dane osobowe. W zakresie dozwolonym przez prawo, może to obejmować:

Dane przekazywane nam bezpośrednio przez Ciebie:

Przetwarzamy dane osobowe zawarte w przesłanej przez Ciebie aplikacji o pracę oraz informacje, które podajesz w trakcie procesu rekrutacji (w szczególności dane zawarte w Twoim CV oraz dodatkowe dane przekazane w trakcie rekrutacji). Mogą one obejmować:

·       dane kontaktowe (imię i nazwisko, adres, numery telefonów, e-mail, itp.);

·       szczegóły dotyczące kwalifikacji (takie jak informacje o poprzednim doświadczeniu zawodowym lub wykształceniu);

·       informacje zawarte w aplikacji (takie jak oczekiwany dochód, rodzaj poszukiwanej pracy lub Twoja dyspozycyjność);

·       dane identyfikacyjne (takie jak data urodzenia, numer paszportu, narodowość i miejsce zamieszkania, PESEL, status imigracyjny);

·       wszelkie inne dane przekazane nam przez Ciebie, w tym korespondencję pomiędzy Tobą a OpenX prowadzoną w trakcie procesu rekrutacji;

·       jeśli wyraziłeś na to wyraźną, dobrowolną zgodę - dane demograficzne (np. informacje o pochodzeniu rasowym lub etnicznym).

Dane z innych źródeł: Zasadniczo, zbieramy dane bezpośrednio od Ciebie, gdy odpowiadasz na nasze ogłoszenie o pracę. Czasami uzyskujemy dane o Tobie z innych źródeł, takich jak Twoi poprzedni pracodawcy (jeśli wyrazisz zgodę na zbieranie przez nas referencji), rekruterzy, firmy zajmujące się badaniem rynku, dostawcy usług weryfikacji tożsamości oraz informacje dostępne w Internecie i na stronach internetowych stron trzecich, w tym na LinkedIn. W przypadku wyrażenia przez Ciebie zgody na weryfikację informacji o Tobie (background check) i/lub gdy jest to dozwolone przez prawo, możemy również gromadzić szczegóły dotyczące wpisów do rejestrów prowadzonych przez organizacje zawodowe, sankcji nałożonych przez organizacje zawodowe, kontroli finansowych lub wyroków skazujących.

Informacje zbierane automatycznie: Podczas składania aplikacji za pośrednictwem strony kariery w naszej witrynie internetowej, możemy automatycznie zbierać pewne informacje z Twojego komputera, telefonu komórkowego lub innego urządzenia. Mogą to być między innymi takie informacje jak adres IP komputera, standardowe dane dziennika sieciowego lub typ przeglądarki.

Dlaczego przetwarzamy Twoje dane osobowe i na jakiej podstawie?
OpenX może uzyskiwać dostęp do Twoich danych osobowych, wykorzystywać je i przechowywać z powodów określonych poniżej.

·       Jeżeli jest to niezbędne do dokonania przez OpenX oceny Twojej aplikacji o pracę.  Może to obejmować:

·       ocenę Twoich umiejętności i zainteresowania możliwościami kariery w OpenX;

·       rozpatrzenie aplikacji;

·       analizę i weryfikację Twoich kwalifikacji;

·       weryfikację Twojej tożsamości i Twoich kwalifikacji do zatrudnienia; oraz

·       komunikowanie się z Tobą w sprawie Twojej aplikacji, odpowiadanie na Twoje zapytania i planowanie rozmów kwalifikacyjnych.

·       Jeżeli jest to niezbędne do realizacji prawnie uzasadnionych interesów OpenX wymienionych poniżej i jeżeli Twoje prawa w zakresie ochrony danych nie są nadrzędne nad naszymi interesami.  Może to obejmować:

·       Przeprowadzanie procedury weryfikacji informacji dotyczących kandydata (background check), a w szczególności gromadzenie szczegółów dotyczących wpisów do rejestrów prowadzonych przez organizacje zawodowe.

·       Ochrona naszych uzasadnionych interesów biznesowych i praw.  Obejmuje to wykorzystanie w związku z roszczeniami prawnymi, zgodnością z przepisami, regulacjami, audytami, celami dochodzeniowymi i dyscyplinarnymi (w tym ujawnienie takich informacji w związku z lub postępowaniem sądowym) oraz innymi wymogami dotyczącymi etyki i raportowania zgodności.

·       Utrzymanie bezpieczeństwa i integralności naszych obiektów, sprzętu i platform elektronicznych.  Obejmuje to administrowanie prawami dostępu, monitorowanie zgodności z protokołami firmowymi, a tam, gdzie jest to dozwolone przez lokalne prawo i zgodne z odpowiednimi politykami, prowadzenie dochodzeń i działań dyscyplinarnych.

·       Gdy jest to niezbędne do spełnienia obowiązku prawnego.  Może to obejmować ujawnienie informacji organom ścigania lub w związku z roszczeniami prawnymi, lub celami regulacyjnymi (w tym ujawnienie takich informacji w związku z procesem prawnym lub postępowaniem sądowym).

·       W przypadku, gdy wyraziłaś/wyraziłeś na to zgodę. Pamiętaj, proszę, że nie masz obowiązku wyrażenia zgody wtedy, gdy o nią prosimy. Jest ona zawsze udzielana dobrowolnie. Na przykład, poprosimy Cię o zgodę na wzięcie udziału w przyszłych procesach rekrutacyjnych prowadzonych przez OpenX. Możemy również poprosić Cię o zgodę na sprawdzenie przeszłości kryminalnej lub zadać Ci pytania związane z informacjami demograficznymi, które pomogą nam wspierać programy różnorodności i inkluzji.

Możemy również przetwarzać Twoje dane osobowe na podstawie zgody, co jest wymagane w niektórych jurysdykcjach. Na przykład, jeśli aplikujesz na stanowisko w Polsce, możemy poprosić Cię o zgodę na sprawdzenie referencji od poprzednich pracodawców. Ponadto, przekazując nam pewne dane, których nie wymagamy od Ciebie (np. Twoje zdjęcie), wyrażasz zgodę na ich przetwarzanie.
Ujawnianie informacji stronom trzecim

Jeżeli jest to konieczne dla celów biznesowych, możemy udostępniać Twoje dane osobowe następującym spółkom powiązanym OpenX, wymienionym tutaj.

Dane osobowe mogą być udostępniane organom administracji państwowej i/lub przedstawicielom organów ścigania, jeżeli jest to wymagane do realizacji powyższych celów, jeżeli jest to nakazane przepisami prawa lub jeżeli jest to wymagane w celu ochrony uzasadnionych interesów OpenX (np. w celu dochodzenia roszczeń i obrony przed roszczeniami) zgodnie z obowiązującymi przepisami prawa.
Dane osobowe mogą być również udostępniane zewnętrznym dostawcom usług, którzy będą je przetwarzać w imieniu OpenX w celach opisanych powyżej. Dotyczy to w szczególności naszego dostawcy, który dostarcza oprogramowanie pomagające nam w zarządzaniu aplikacjami.
Dodatkowo, możemy otrzymywać dane osobowe od agencji rekrutacyjnych. Możemy również udostępniać takim podmiotom bardzo ograniczone informacje o Tobie (np. Twój publiczny profil w mediach społecznościowych na LinkedIn). Agencje, które udostępniają nam dane, będą działać jako odrębni administratorzy danych i mogą posiadać własne polityki, które regulują sposób gromadzenia i wykorzystywania Twoich danych. Aby w pełni zrozumieć, w jaki sposób Twoje dane są przetwarzane, należy zawsze dokładnie zapoznać się z polityką prywatności agencji rekrutacyjnej, z którą się związałaś/związałeś.
W przypadku sprzedaży lub integracji OpenX lub któregokolwiek z jej podmiotów powiązanych z inną firmą, Twoje dane osobowe mogą zostać ujawnione doradcom OpenX oraz doradcom potencjalnego nabywcy, a następnie przekazane nowym właścicielom firmy.
Przechowywanie Twoich danych
Będziemy przechowywać Twoje dane osobowe w formie, która Cię identyfikuje, przez okres nie dłuższy niż jest to konieczne do celów niezbędnych do celów rekrutacji.
Jeśli Twoje zgłoszenie zostanie rozpatrzone pozytywnie, podane informacje mogą zostać zachowane do celów związanych z Twoim zatrudnieniem.
Jeśli zgłoszenie nie zakończy się sukcesem, a wyraziłeś zgodę na przechowywanie Twoich danych dla celów przyszłych rekrutacji, zachowamy Twoje dane przez okres 2 lat od zakończenia procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś. Bez Twojej zgody na przyszłe rekrutacje, będziemy przechowywać Twoje dane osobowe przez rozsądny czas (nie dłużej niż 1 rok) po zakończeniu procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś, abyśmy mogli powtórzyć proces rekrutacji, jeśli zajdzie taka potrzeba lub aby wyjaśnić wszelkie nieporozumienia między nami a Tobą.
Stosowanie plików cookie
Najprawdopodobniej odwiedziłaś/odwiedziłeś naszą stronę w celu złożenia aplikacji na stanowisko pracy. Na naszej stronie internetowej używamy plików cookie do zbierania informacji o Twojej aktywności online. Pliki cookie to małe fragmenty informacji wysyłane przez serwer WWW do przeglądarki internetowej, które pozwalają serwerowi na unikalną identyfikację Twojej przeglądarki na każdej stronie. Aby dowiedzieć się więcej na temat kategorii plików cookie, których używamy na naszej stronie internetowej, prosimy o zapoznanie się z naszą Polityką dotyczącą plików cookie.
Twoje prawa
Dla kandydatów do pracy z Unii Europejskiej
Masz prawo zażądać od OpenX sprostowania, zablokowania lub ograniczenia dostępu do swoich danych osobowych, uzupełnienia ich i usunięcia. Możesz również "przenieść" swoje dane osobowe (tzn. poprosić nas o dostarczenie Ci ich w ustrukturyzowanym, powszechnie używanym i nadającym się do odczytu maszynowego formacie oraz o przekazanie ich bezpośrednio do innej organizacji). Masz prawo zażądać dostępu do swoich danych osobowych oraz dalszych informacji na temat przetwarzania Twoich danych osobowych.
W pewnych okolicznościach możesz również sprzeciwić się przetwarzaniu przez nas Twoich danych, a w przypadku, gdy poprosiliśmy o zgodę na przetwarzanie Twoich danych, w każdej chwili możesz wycofać tę zgodę.  Należy pamiętać, że wycofanie zgody nie będzie miało wpływu na zgodność z prawem przetwarzania danych przed wycofaniem zgody.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach można odmówić dostępu do danych osobowych, jeżeli udostępnienie tych informacji ujawniłoby dane osobowe innej osoby lub jeżeli OpenX nie może zgodnie z prawem ujawnić takich informacji. Ponadto, OpenX może zachować dane, nawet jeśli wycofasz swoją zgodę, jeśli OpenX będzie w stanie wykazać, że posiada alternatywną podstawę prawną do przetwarzania Twoich danych. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.

Jeśli masz nierozwiązane wątpliwości, masz prawo złożyć skargę do organu ochrony danych w kraju, w którym mieszkasz, pracujesz lub w którym uważasz, że doszło do naruszenia ochrony danych. Dane kontaktowe urzędu ochrony danych można znaleźć tutaj, jeśli jesteś osobą pochodzącą z EOG lub tutaj, jeśli jesteś osobą pochodzącą z Wielkiej Brytanii.

Przeprowadziliśmy testy równowagi interesów dla wszystkich procesów przetwarzania danych, które prowadzimy w oparciu o nasze uzasadnione interesy. Informacje na temat każdego z naszych testów równowagi interesów można uzyskać, kontaktując się z nami za pomocą danych kontaktowych podanych poniżej.

Jeśli chcesz skorzystać z któregokolwiek z praw wymienionych powyżej, prosimy o kontakt z nami tutaj.

Transfer poza EOG
Działamy globalnie i w wielu przypadkach musimy przekazywać Twoje dane osobowe na skalę międzynarodową, w tym do Stanów Zjednoczonych i Wielkiej Brytanii w celach opisanych powyżej. Twoje dane osobowe będą przekazywane i przetwarzane przez podmiot OpenX, z którym zawarłaś/zawarłeś umowę.
Przekazując dane osobowe do krajów spoza EOG, działamy zgodnie z prawem Unii Europejskiej, stosując Standardowe Klauzule Umowne zatwierdzone przez Komisję Europejską lub przyjmując inne adekwatne środki zabezpieczające. Kopię odpowiedniego mechanizmu można otrzymać do wglądu na żądanie, korzystając z poniższych danych kontaktowych.
Dla kandydatów do pracy w Stanach Zjednoczonych
W zależności od obszaru jurysdykcji, w której mieszkasz, możesz mieć prawo do żądania od OpenX usunięcia niektórych swoich danych osobowych, skorygowania nieprawidłowych danych osobowych oraz zapewnienia Ci dostępu do swoich danych osobowych.
OpenX nie udostępnia ani nie sprzedaje odpłatnie danych osobowych zebranych od kandydatów.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu. OpenX nigdy nie będzie Cię dyskryminować w związku z korzystaniem przez Ciebie z przysługujących Ci praw w zakresie danych osobowych.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach możemy odmówić dostępu do Twoich danych osobowych, jeżeli OpenX nie ma prawnej możliwości ujawnienia takich informacji. Ponadto, OpenX może zachować Twoje dane osobowe nawet jeśli zażądasz ich usunięcia, jeśli OpenX wykaże, że ma prawny obowiązek ich zachowania lub jest do tego uprawniony z innych względów. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.

Jeśli chcesz skorzystać z któregokolwiek z wyżej wymienionych praw, prosimy o kontakt tutaj lub pod numerem telefonu (855) 231-3834.

Aktualizacje niniejszej Informacji o ochronie prywatności
Niniejsza Polityka prywatności może być okresowo aktualizowana w celu odzwierciedlenia zmian w naszych praktykach dotyczących danych osobowych. Na naszych odpowiednich stronach internetowych, w aplikacjach lub materiałach zamieścimy informację o wszelkich istotnych zmianach w Polityce prywatności i wskażemy, kiedy Polityka prywatności została ostatnio zaktualizowana.
Skontaktuj się z nami

Administratorem danych, podmiotem gospodarczym lub równoważnym podmiotem kontrolującym sposób przetwarzania Twoich danych jest podmiot OpenX, do którego aplikujesz. Lista wszystkich podmiotów powiązanych z OpenX jest dostępna tutaj.

Jeśli masz pytania dotyczące prywatności, wątpliwości lub prośby, prosimy o kontakt z naszym Inspektorem Ochrony Danych pod adresem dpo@openx.com lub tutaj.