Regular 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

2-3 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.


Data Scientist Ii

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‚Äôre:
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.

Key Responsibilities

Extract data from TB-scale datasets and transform it into compact representations which are amenable to use by a wide variety of models
Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
Succinctly and concisely convey reporting, including results of A/B tests, key metric determination and evolution, and model impact
Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development

Requirements and Skills

1-2 years of experience in a data science or machine learning engineer role
Proficiency in SQL and programming experience in Python
Experience with deep learning or Gaussian process-based models
Solid grasp of probability and statistics, especially techniques that scale to massive datasets
Strong communication and presentation skills: Proficient in analysis and summarization of the key points of a data set or experiment result
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or related
Experience working with a cloud platform like GCP / AWS / Azure a plus
Experience with the Tensorflow / TFX platforms a plus
Advanced degree (MS+) in one of the aforementioned fields a plus

Effective Date: March 1, 2022

OpenX Applicant Privacy Policy

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

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

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

Data you provide to us directly:

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

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

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

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

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

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

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

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

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

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

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

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

o¬†¬† processing your application;

o¬†¬† analyzing and verifying your qualifications;

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

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

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

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

¬†

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

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

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

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

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

Disclosure to third parties

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Senior Data Scientist Product

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
We are currently looking for a new Senior Data Scientist, Product, to join our Data Insights team and be embedded into one or more Product teams.
You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders to designers and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and feature roll-out—helping to clarify what value our users want and need to thrive, and how well what we build meets those user needs.
The team:
Our Product Growth team is a cross-functional team dedicated to optimizing key product funnel metrics such as acquisition, activation, monetization, and virality. You will be working as an embedded data scientist on the Product Growth team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists).
You may also support other Product teams, and will help build a scientific culture in our Product teams, help our business grow, and help our customers succeed.
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;

Self-motivated and able to work autonomously and collaboratively;

Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
Here’s what you’ll need to do:

Collaborate with the Growth and Insights teams along with other Product teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive models to forecast the impact of specific growth and retention initiatives.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way.
Innovate new applications of statistical analysis, machine learning, and data mining to unlock opportunities in our products.
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.

You should have:

4+ years applied experience in data science.
Have experience designing and iterating on experiments such as A/B tests.
Experience in product analytics working with product and user behavior data, including retention or churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.

Serious bonus points if you have:

A deep understanding of SaaS business metrics and growth drivers.
Experience with large data sets and / or user interaction data.
Experience with SaaS companies and product growth teams.
An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)

Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system.  We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.


Senior Data Scientist Modeling

At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are looking for an outstanding data scientist for Member Product Data Science and Engineering. As part of our team, you will build scientific foundations for understanding the member experience, such as engagement and retention forecasts, valuation models, and customer segmentations. This is a rare opportunity to change how Netflix understands its 200+ million members. You will partner with stunning scientists, product managers, and engineers to bring these models to life. This is a high-impact role in which you will have direct influence on how product and strategic decisions are made. You will play a key role in spurring product innovations to drive engagement and retention at a critical moment in Netflix’s history.
In this role, you will:
Build models to describe the customer experience, including engagement and retention forecasts and valuation modelsApply modeling and machine learning techniques to business problems at the intersection of product and data scienceAutonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocationProactively perform data exploration on engagement behaviors to discover future opportunitiesCollaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scaleDeliver well-documented datasets, tools, and reports to key technical and business partnersPresent your research and insights to all levels of the company
We are looking for:
Experience in building real-world machine learning models with demonstrated business impactStrong statistical and modeling knowledge – ideally utilized in predictive and forecasting applications5+ years of relevant experience in statistical modeling and analysis with web-scale dataDemonstrated ability to communicate and drive product change across a variety of stakeholders Strong Quantitative Programming skills in Python or RStrong SQL skillsAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.  Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative fieldPlus: Expert-level facility with forecasting techniques (e.g., ARIMA) and packages (e.g., Prophet) applied at scalePlus: Experience creating data products and dashboards such as TableauPlus: Familiarity with software engineering practice and working with APIs


Data Scientist Employee Relations

DESCRIPTION
Job summaryAmazon’s Employee Relations (ER) team is looking for a Data Scientist (DS) with a demonstrated passion for building innovative new analytics, models, tools and processes for our Employees and Leaders. Are you looking for an opportunity to build in a completely new space that will stretch you and force you to demonstrate your mastery of data science, data analytics, problem solving and enterprise wide deployments? This DS will lead new pioneering ideas from concept to reality and in this role—new bold ideas are always welcome. This DS will obsess over the Amazon employee experience and the employee voice across the organization. This DS will directly apply their knowledge to dig deep and help Amazon leaders gain actionable insights. Finding, prioritizing and resolving employee experience defects will be the mission every day. Thus, the challenge of this role is that it is never complete; we will always strive to push Amazon to be the Earth’s best employer. The Data Scientist will play a critical role in advancing our mission. You will join a tight-knit team of ER professionals, including HR, operational, program, product, tech and legal leaders. You will be supporting Amazon's World Wide Corporate, Consumer and Operations (WWCC & Ops) portfolio, and have direct impact on the daily work of over 1.3M+ Amazonians. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, dashboarding and predictive machine learning tools. We’re looking for an enthusiastic technical expert and storyteller to explore the world of Amazon data to generate insights—connecting employee experiences to decision makers in a compelling way backed by data. Your focus will cover all aspects of how we learn more about our employees, uncover problems that need to be solved, and validate the impact of our solutions. You will work with other thinkers, creators, and communicators to build the skills of the entire team to create a research-driven organization. You will invent, refine solutions from start to finish—data sets, queries, models, reports, dashboards, analyses—to answer business questions while ensuring we are meeting the needs of the business and team goals. You will draw on your knowledge of data science best practices, big data management fundamentals, and analysis principles to build solutions that enable effective, data-driven business decisions. You will learn the business context and technologies behind your team’s data infrastructure and work with customers (e.g., researchers, economists, data engineers, business intelligence engineers, product managers) and other internal partners to ensure deliverables are aligned with expectations.If you love getting to the “a-ha” moment, when the solution to a customer or employee problem reveals itself in the data— let’s talk!Key job responsibilities• Own the design, development, and maintenance of scalable solutions for analyses and models.• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)• Lead technical aspects of experiment design in collaboration with the greater ER team.• Find and create ways to measure the workforce experience at multiple levels in the organization.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches• Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management• Write queries and have in-depth knowledge of the data available in area of responsibility. • Troubleshoot operational data-quality issues and review/audit existing ETL jobs and queries.• Collaborate on developing effective Dashboards to surface insights to senior leadership• Communicate pros and cons of analytic frameworks to the development team• Uncover drivers, impacts, and key influences on productivity and innovation outcomes• Develop predictive and optimization models for key applications• Navigate a variety of data sources, such as open text comments, survey results and free text fields inputs• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes• Maintain an understanding of the latest trends in data science and machine learning• Recommend improvements to back-end data sources for increased accuracy and simplicity.About the teamThe Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the WWC & Ops organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are always changing and we continually innovate to transform and improve the employee experience.
BASIC QUALIFICATIONS
• 3+ years of industry experience in role(s) like: Data/Business Analyst, Data Engineer, Business Intelligence, Data Scientist, or equivalent.• 3+ years of data modeling, ETL management, and data warehousing experience.• Demonstrated proficiency with data querying with SQL • Demonstrated proficiency with data modeling techniques in R or Python• Knowledge and direct experience using and deploying business intelligence reporting tools. (Quicksights, Tableau, Microstrategy, Excel etc.)
PREFERRED QUALIFICATIONS
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.• Experience working with AWS big data technologies (Redshift, S3, EMR).• Experience with Stata, SAS, or Python.• Experience in data modeling, ETL development, and data warehousing.• Familiarity with statistical models and data mining algorithms.• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Sr Data Scientist

DESCRIPTION
Job summary Amazon is solving some of the world's toughest problems, and we are customer (and candidate obsessed) when it comes to scaling the hiring process for one of the planet’s largest workforces. We are asking questions like: How do we hire the right number of associates at the right time? How do we handle hundreds of thousands, or even millions of applications, while ensuring the job search process is friction-free for applicants? How do we match the right job to right associate while providing flexibility to work across different job types and time of the day?  In response to those questions, our team of tenured Amazonians and industry talent is using native AWS technologies to build a new, mobile-first hiring solution from scratch. Applicants will use this system to begin their journey with Amazon from initial job search, through the interview process, to Day 1 onboarding in our fulfillment centers and beyond. Along the way, we are experimenting with the latest technologies and ML to make the hiring process better for hundreds of thousands of future Amazonians. Our hourly workforce is Amazon’s foundation – we cannot deliver for our customers without them. Join and help us build the workforce of the future. We are looking for an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. Develop and produce balanced technical and business insights that allows our product organization to understand candidate behavior and labor markets, to make product decisions that increase the efficiency of our hiring pipeline and improve candidate experience. The successful Data Scientist will have extreme bias for action needed in a startup environment. Work across multiple hiring programs and initiatives to un-earth opportunities, design and perform statistical experiments and build analytical systems/tools while striving for simplicity, and demonstrating creativity and judgment backed by statistical proof. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Amazon high volume hiring. We seek someone who can also demonstrate a high degree of ownership, insist on the highest standards and consistently deliver superior quality results on-time. Additional Responsibilities include:
Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experienceResearch machine learning algorithms and implement by tailoring to business needs and test on large datasets.Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data qualityFoster culture of continuous engineering improvement through mentoring, feedback, and metricsManipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce),Providing analytical network support to improve quality and standard work results
BASIC QUALIFICATIONS
Masters with 5 years of relevant experience or a Bachelor’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, Engineering or a related quantitative field with 9 years of working experience as a Data ScientistExperience with statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, and demand modelingExcellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.Experience in Statistical Software such as R, Weka, SAS, SPSSExperience using one or more Python, R, Java, C++ VBA, MATLAB, programming languagesAdvanced knowledge of SQL and ETL jobs and optimize complex queriesProficiency with BI technologies and TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.
PREFERRED QUALIFICATIONS
PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related fieldPrevious experience in a ML or data scientist role with a large technology companyExperience in an operational environment developing, fast-prototyping, piloting and launching analytic productsExperience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.Experience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora) preferred.Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.Familiarity with recruitment, hiring and operations processes used in Amazon fulfillment network.
The base pay range for this position in Colorado is $120,900 - $160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Data Scientist

DESCRIPTION
Job summaryExcited to work at cutting edge of Machine Learning (ML) and Internet of Things (IoT)? How does prospect of using massive amounts of data to develop Machine Learning and Deep Learning (DL) models sound? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?   The problems we solve are real, with tangible customer impact. The work involves working with some of largest global enterprises and help them solve previously unsolved problems with Machine Learning and Artificial Intelligence. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases. You'll design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems. AWS Professional Services is a unique team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We obsess over finding effective and scalable ways to solve customers demanding problems. If you thrive in a fast-paced environment, you’ll meet your match with us, as you will be part of a vibe of constant improvement. We don’t like to sit still, which is why we always treat every day like the first day. A day to make more good things happen for our customers. That's the kind of spirit that drives our success and you could be part of it.  A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI.    Responsibilities: · Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . · Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. · Use Deep Learning frameworks like MXNet, PyTorch, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. · Work with data architects and engineers to analyze, extract, normalize, and label relevant data. · Work with our DevOps engineers to help our customers operationalize models after they are built. · Assist customers with identifying model drift and retraining models. · Research and implement novel ML and DL approaches, including using FPGA. This position can have periods of up to 10% travel.This position requires that the candidate selected be a US Citizen.
BASIC QUALIFICATIONS
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory5+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
PREFERRED QUALIFICATIONS
Master’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
The pay range for this position in Colorado is $130,000-178,000(hr./yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.


Senior Data Scientist Aws Support Capacity Planning

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DESCRIPTION
Job summary Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization?   At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.  AWS Support Engineering Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business.   We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded.You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
· A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience · 6+ years of industry experience in predictive modeling, forecasting, data science and data analysis  · Demonstrated experience using one or more data science programming language (Python, R, etc).
PREFERRED QUALIFICATIONS
· Experience processing, filtering, and presenting large quantities (Millions of rows) of data · Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling · Experience applying various machine learning techniques, and understanding the key parameters that affect their performance · Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning) · Experience in Data Analysis programming such as R, Python, Scala, Spark, etc. · Experience in cloud deployment tools such as AWS S3, EC2, Docker, Kubernetes etc. · Experience in Linux/Unix shell scripting. · Proficiency with TABLEAU or other web based interfaces to create graphic-rich customizable plots, charts data maps etc. · Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL) · PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field · Previous experience in ML, data scientist or optimization engineer role with a large technology company · Familiarity with the processes used in Amazon fulfillment network · Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products · Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Experience in creating data driven visualizations to describe an end-to-end system · Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The base pay range for this position in Colorado is $120,900-160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Senior Data Scientist Ai Data Team

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DESCRIPTION
Job summaryThe AI Data Team in Amazon Web Services (AWS) is looking for a Senior Data Scientist with a passion for developing innovative methods to maximize the power of natural language data. This position is an opportunity to apply your expertise in a challenging but supportive environment. The position may be remote, with a preference for Santa Clara, Seattle, or New York City. We work in distributed teams, and strengthen our connections by traveling a total of about one week per quarter for in person meetings.The mission of the AI Data Team is to engineer the datasets critical to the success of AWS’s machine learning services. From chatbots to subtitles to search results and beyond, these products support dozens of languages and impact millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.As a Senior Data Scientist, you will start by diving deep into a high profile project to launch a new product offering. You will consult with stakeholders in science, engineering, and product teams to understand machine learning model development plans, and collaborate with language engineers to strategize on data collection. You will determine the appropriate metrics for data analysis and quality checks on data annotations, considering domain gaps, data bias, and data noise in your analysis. You will document and present results to the project team using effective data visualization.You will then broaden your expertise to understand the AI Data Team’s range of methods and general challenges for producing or acquiring data, and for generating high quality labels. You will identify opportunities to advance the team’s capabilities, staying up to date on developments in the field of data-centric AI, and experimenting with new techniques for data cleaning, labeling, and augmentation. You will share your results in written documents and presentations to the data team and stakeholders. This expertise will enable you to organize and lead large data team initiatives to scale these methods for ongoing data collection and annotation. You will collaborate with data engineers and language engineers to design and build technical assets such as data warehousing and analytics tooling, and write Python packages to provide metrics and insights across datasets that ensures the data is discoverable and reusable.Key job responsibilities* Lead the development of metrics and analytics for natural language data collection, to ensure quality and effectiveness of data and annotations for training, testing, and benchmarking machine learning models.* Design and write Python packages for analyzing natural language datasets, including domain gaps, data bias, and data noise* Lead large initiatives to develop and scale innovative techniques for data cleaning, labeling, and augmentation* Contribute to data warehousing and analytics tooling, writing code to provide metrics and insights across datasets that ensures the data is discoverable and reusable
BASIC QUALIFICATIONS
* MS or PhD in a quantitative field such as computer science, mathematics, or computational linguistics* 5+ years hands on experience as a data scientist in an industry setting, including statistical modeling and data visualization* Proficiency in Python* Experience with natural language data and NLP techniques* Experience working with stakeholders such as product and engineering teams* Experience driving complex initiatives
PREFERRED QUALIFICATIONS
* Experience in developing and evaluating data annotation and data quality metrics* Experience using AWS tools and services* Strong written and verbal communication skills, with an ability to present complex technical information in a clear and concise manner to a variety of audience*The pay range for this position in Colorado is $128,400 - $149,800 yr.; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.


Data Scientist Aws Support Capacity Planning

View transcript
DESCRIPTION
Job summary Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization?   At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.  AWS Support Engineering Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business.   We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded.You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
· A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience · 3+ years of industry experience in predictive modeling, forecasting, data science and data analysis  · Demonstrated experience using one or more data science programming language (Python, R, etc).
PREFERRED QUALIFICATIONS
· Experience processing, filtering, and presenting large quantities (Millions of rows) of data · Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling · Experience applying various machine learning techniques, and understanding the key parameters that affect their performance · Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning) · Experience in Data Analysis programming such as R, Python, Scala, Spark, etc. · Experience in cloud deployment tools such as AWS S3, EC2, Docker, Kubernetes etc. · Experience in Linux/Unix shell scripting. · Proficiency with TABLEAU or other web based interfaces to create graphic-rich customizable plots, charts data maps etc. · Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL) · PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field · Previous experience in ML, data scientist or optimization engineer role with a large technology company · Familiarity with the processes used in Amazon fulfillment network · Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products · Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Experience in creating data driven visualizations to describe an end-to-end system · Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.The base pay range for this position in Colorado is $119,300-160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.


Senior Data Scientist

Job Summary:
We are looking for a Senior Data Scientist to join our newly created Data & Intelligence team in the DMED Technology’s Content Platforms group.
The data scientist will join a team of engineers and product managers to deliver the world’s most innovative, automated, and technologically advanced content platform through the integration of predictive models and analytical insight.
The core contributions of the Senior Data Scientist will consist of technically define problems gathered from stakeholders, define experimentation setups, research data driven solutions to the problems identified, provide technical mentorship to other data scientists and communicate results to stakeholders.
Responsibilities:
Serve as a technical and leadership mentor to the team. Encourage and set the example for collaboration across functions. Forge solid relationships with peers in other disciplines.Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our digital product lineup Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices. Become and stay an expert in current and emerging technologies and tools.
Basic Qualifications:
Proven excellence in leading and contributing to Data Science projects in a commercial settingProven track (patents, publications) of pushing state of the art in the data science / machine learning space.Strong communication, interpersonal skills and fortitude to get stuff doneExperience in leading discovery processes with stakeholders to identify the business requirements and the expected outcomeCapability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsProven experience providing technical mentorship to junior team membersDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable working in a team environment using Agile methodologiesExpert level in machine learning architecture and model development, ideally contributing to one of the main machine learning frameworks.Up to date knowledge on PyTorch and packages in its ecosystem (3+ years)Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (5+ years)Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (5+ years)Mastery in at least one high-level programming language such as Python or Scala (7+ years)Expert level in advanced analytic and statistical modelingExperience monitoring the full life cycle of modelsMastery in SQL and experience with NoSQL databasesExperience with human-in-the-loop machine learning solutionsExperience with cloud platforms such as AWS, Google Cloud, AzureExperience with DockerExperience with ETL pipelines
Preferred Qualifications:
Experience with distributed processing relevant technologies like Kafka and HadoopExperience crafting visualization toolsMedia Industry experience
Required Education
M.S. degree in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
Preferred Education
Ph.D. in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields


Data Scientist

Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World!
Our mission as part of the Commercial Strategy organization is to put our data to work and apply quantitative techniques to discover previously unknown insights about our Guests and business.
We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings.
The Data Scientist reports to the Lead Data Science and is an individual contributor role.
Responsibilities/You Will
Pursue innovation: Research current data engineering, analytical solutions, capabilities, and technologies and translate that research into usable and sustainable solutions for usersPut your skills to the test: Perform data collection, data mining, build data science frameworks and toolsDevelopment best practices: Apply software engineering best practices to analytics code (ex: version control, testing, documentation, continuous integration, and continuous deployment)Collaborate with product and business stakeholders: Partner with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.
Basic Qualifications/You Will Have
3+ years of experience with a programming language for data science like Python, Java, etc.Experience with SQL and using databasesExperience developing practical machine learning solutionsDesire to collaborate with other data scientists, data engineers, analysts, and business partnersExperience explaining how models are used and algorithms behave to both technical and non-technical audiencesExperience gauging the complexity of machine learning problems and a willingness to implement simple approaches for quick, effective solutions
Preferred Qualifications
Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)Strong expertise with Python and libraries such as scikit-learn and SciPyExperience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, regression testing, testing, and deploymentFamiliarity with automated deployment, AWS infrastructure, Docker, or similar containers
Required Education
Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
This role is considered hybrid, which means you will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.
Benefits: Medical/dental/vision insurance, 401(k) employer match, and educational reimbursement.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changi


Data Scientist Entry Level

Are you curious about applying analytics to business problems and interested in a career in data science? In this role you’ll contribute right away by digging into data to understand patterns in our customer’s business, set up reporting on key success metrics, and uncover opportunities for improving our core algorithms. Plus, over time we’ll train you on our advanced analytics and machine learning models so you can grow into a full data science role.

Day in the Life

Perform rigorous data validation and conduct deep dive analysis to understand each customer’s unique business needs to drive product configuration decisions (using SQL or Python). Examples include:
    		     o Analysis to understand seasonal patterns in a customer’s demand
			     o Analysis to understand a customer’s current pricing volatility
			     o Analysis to identify markets or segments with largest opportunities for revenue growth
Net out analysis results in business, non-technical terms, providing details into key assumptions, business impact, and recommendations for next steps
Validate outputs of optimization and machine learning models to ensure that they meet accuracy and business reasonability expectations, updating configurations as needed based on findings
Influence product development roadmap by evaluating the impact of potential new analytical features on product performance
Collaborate with cross‐functional peers to implement transformational products for customers

Who You Are

Bachelor’s degree with strong academic credentials required, Master’s optional (Engineering, Economics, or Mathematics preferred)
Creative analytical capabilities and problem-solving skills, leveraging data analysis tools (proficiency in SQL or Python required)
Intellectual curiosity and eagerness to apply rigorous analytics to business problems
Demonstrates commitment to personal growth, achieving personal goals, and growing knowledge in the areas of advanced analytics and Machine Learning
Set a high standard for your work and hold yourself accountable for achieving those standards
Ability to proactively manage multiple commitments and tasks across multiple customers
Excels in a highly collaborative team environment with a diverse set of teams and perspectives

A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.

Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.