Data Scientist Department Of Energy

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Summary
DOE's Clean Energy Corps is made up of the staff from more than a dozen offices across DOE. As vacancies become available, applicants may be required to go through the DOE Clean Energy Corps hiring pipeline where you may be evaluated based on competencies through a core competency /technical interview(s). You are strongly encouraged to express interest through theClean Energy Corps Applicant Portal for consideration. Failure to do so may result in loss of consideration for BIL positions.

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This job is open to

The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.

Clarification from the agency
U.S. Citizens- This direct hire public notice is to gather applications that may or may not result in a referral or selection.

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Duties
This series covers positions managing, supervising, leading, and/or performing administrative and management work.
Vacancies filled under this public notice may have varying levels of promotion potential and supervisory level, if any.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule.
As a Data Scientist you may:
Develops and oversees computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Designs and oversees data modeling processes, create algorithms and predictive models to extract data.
Develops acquisition data analytics budget to implement strategy, advocates and explains budget goals to DOE, interagency, OMB, and Legislative Branch officials.
Research and development of project management for statistical data analytics to evaluate, design and develop analytical procedures and processes.
Computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Presents results to the scientific community at professional meetings and conferences.

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Requirements
Conditions of Employment
Must be a U.S. Citizen or National.
This employer participates in the e-Verify program.
Males born after 12/31/1959 must be registered for Selective Service.
Subject to satisfactory security and suitability requirements.
May be required to successfully complete a probationary period.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule. Pay will vary by geographic location.
The vacancies filled through these appointments have varying levels of background investigative requirements, up to a Top Secret DOE "Q" clearance.
These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58).
Qualifications
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-07: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-05 grade level in the Federal Service. Specialized experience for this position includes:
Participating in analyzing data modeling concepts; AND
Reviewing data for trends from multiple systems.
OR EDUCATION: One full year of graduate level education.

OR Superior Academic Achievement: Based on a bachelor's degree that is demonstrated through class standing (upper 1/3 of class); grade point average (3.0/4.0 overall or 3.5/4.0 in major), or election to membership in a qualifying national scholastic honor society.

OR COMBINATION: You may qualify on a combination of education and experience, the total percentage of experience at the required grade level compared to the specialized experience requirement, as well as the percentage of completed education compared to the educational requirement must equal at least 100 percent.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal Service. Specialized experience for this position includes:
Analyzing and interpreting data modeling, algorithms, and coding data requirements.; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports.
OR EDUCATION: Master's or equivalent graduate degree or two (2) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 18 semester hours (27 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.
OR EDUCATION: Ph.D. or equivalent doctoral degree or three (3) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-12: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation, AND
Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.
NOTE: There is no substitution of education for specialized experience at the GS-12 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation
NOTE: There is no substitution of education for specialized experience at the GS-13 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.
NOTE: There is no substitution of education for specialized experience at the GS-14 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in the Federal Service. Specialized experience for this position includes:
Evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; AND
Leading or supervising a team of data analysts that research, design, and development data science techniques (such as machine learning, natural language processing, robotics process automation, and artificial intelligence); AND
Planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program offices.
NOTE: There is no substitution of education for specialized experience at the GS-15 level.
"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

OPM Qualification Standards for the GS-1560 series can be found at the following website: Data Science Series, 1560, OPM

CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.

This public notice may be used to fill multiple positions as needed; therefore, applicants must meet the qualifications at the time the applications are reviewed.
Education
All grades for the 1560 series have a positive education requirement that must be met.
Basic Education Requirement

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, seethe Department of Education website.
Transcripts must be provided.
Additional information
The U.S. Department of Energy fosters a diverse and inclusive workplace and is an Equal Opportunity Employer.
Your position may be eligible for workplace flexibilities which may include remote work or telework options, and/or flexible work scheduling. These flexibilities may be requested in accordance with the DOE Workplace Flexibilities policy.
This job opportunity announcement may be used to fill additional similar vacancies across DOE.
For general information on government-wide Telework polices visit: www.telework.gov
Status and Non-Status applicants from outside DOE selected under this authority are required to serve a mandatory one (1) year probationary period. A DOE career status employee selected for this position may be required to serve a new one (1) year probationary period, pursuant to 5 CFR 315.802.
If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established "well qualified" category as stated in the Qualifications section.
This public notice is to gather applications that may or may not result in a referral or selection.
More than one selection may be made under this hiring authority.
Some positions may require completion of a probationary period of up to 1 (one) year.
Many positions require successful completion of a background investigation.
Positions may be filled at varying levels of leadership, ie Team Lead, Manager, Supervisor.
Supervisory positions may require a 1-year probationary period, if not yet completed.
New employees to the Department of Energy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit www.dhs.gov/E-Verify
Veterans and persons with disabilities are encouraged to apply. For more information, please visit the links at the bottom of this page or visit the FedsHireVets website.
All males born after December 31st 1959 must abide by laws regarding Selective Service registration. To learn more about this law, visit the Selective Service web page, Who Must Register. If you are not registered and don't have an approved exemption, you will not be eligible for employment with the Federal government.
Relocation or Recruitment Incentive may be authorized.
This position may be 100% remote.
EEO Policy: https://help.usajobs.gov/index.php/EEO_Policy_Statement
Reasonable Accommodation Policy: https://help.usajobs.gov/index.php/Reasonable_Accommodation_Policy_Statement
Veterans Information: https://help.usajobs.gov/index.php/Veterans_Information
Selective Service Registration: http://www.sss.gov/
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How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated for this job based on how well you meet the qualifications above.
This position is announced under a Direct Hire Authority (DHA) forData Science positions in the GS- 1560 series. Under this Direct-Hire authority, applicants are required to meet minimum qualification requirements at the grade level(s) of interest. Veteran's Preference, Schedule A, Category Rating, and other methods of consideration DO NOT APPLY under Direct-Hire Authority regulations.
Appointments made under this authority will be processed as new appointments to the Civil Service. Current Civil Service employees would, therefore, be given new appointments to the Civil Service. Current Federal employees may be required to serve a new probationary period (5 CFR 315.802(b).
If your resume is incomplete or does not support the responses you provided in your online questionnaire, or if you fail to submit all required documentation before the vacancy closes, you may be rated 'ineligible', 'not qualified', or your score may be adjusted accordingly.
Successful candidates will possess the following competencies (knowledge, skills, abilities and other characteristics):
Data ManagementDatabase AdministrationReasoningResearchStamina
You must meet all qualifications and eligibility requirements by the closing date (12/31/2022) of this announcement.
To preview the Assessment Questionnaire, clickhttps://apply.usastaffing.gov/ViewQuestionnaire/11612791.

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Required Documents
To apply for this position, you MUST provide a complete application package which includes:
Your RESUME showing all relevant work experience (paid and unpaid) including: duties performed; full name and address of the each employer; start and end dates (month/day/year); work schedule (part-time, full-time, number of hours if intermittent); salary; and any completed education and training (program title, subject area, number of hours completed, and completion date).
Cover Letter, optional, expressing additional information not covered in your resume.
Transcripts, if specific educational requirements are indicated in this job announcement. Unofficial transcripts or any report listing institution, course title, credits earned (semester or quarter hour) and final grade is acceptable. It is your responsibility to provide adequate proof that you meet the educational requirements.
Veterans' Preference documentation,if applicable, DD-214 Member Copy 4 showing type of discharge/character of service; current active duty members- certification of expected discharge or release from active duty under honorable conditions dated within 120 days; SF-15 Form and related documentation; VA letter. For more information visit the USAJOBS Help Center & OPM CHCOC website for VOW information.
Career Transition Assistance Program/Interagency Career Transition Assistance Program documentation, if applicable(e.g., Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal.) For more information see the OPM Guide to Career Transition.
Failure to submit any of the above mentioned required documents may result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from
                                                    schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

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How to Apply
Please read the entire announcement and all the instructions before you begin an application. To apply for this position, you must complete the initial online application, to include submission of the required documentation specified in the Required Documents section. A complete application package must be submitted by 11:59 PM (EST) on the announcement closing date to receive consideration.

The application process is as follows:
You must have a login.gov account to sign into USAJOBS: https://www.usajobs.gov/Help/how-to/account/.
To begin the application process in USAJOBS, click the Apply Online button.
Answer the questions presented in the application and attach all required and supporting documentation.
You must click the Submit Application button prior to 11:59 pm (ET) on the announcement closing date.
In addition to applying to this Job Opportunity Announcement, interested candidates are encouraged to express interest via DOE's Applicant Portal. The Applicant Portal allows candidates to align their talents with their passion by indicating specific areas of interest and allow hiring managers throughout the agency to search and review candidate resumes simultaneously to find the best fit for YOU in DOE. Failure to do so may result in loss of consideration for BIL positions. The Applicant Portal allows those interested to align their talents with their passion by indicating specific areas of interest.
You may update your application, including supporting documentation, at any time during the announcement open period by returning to your USAJOBS account, select Update Application:https://my.usajobs.gov/Account/Login. This option will no longer be available once the announcement has closed.
To verify the status of your application, during and after the announcement open period, log into your USAJOBS account; applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each application status means, visit:https://www.usajobs.gov/Help/how-to/application/status/.
If you need help with login.gov or USAJOBS (e.g., account access, Resume Builder) visit the USAJOBS Help Center:https://www.usajobs.gov/Help/
If you experience difficulty applying on USAJOBS, after clicking the Apply Online button, or you are experiencing a significant hardship hindering your ability to apply online, the Agency Contact listed in the announcement can assist you during normal business hours. If you receive any system error messages, take screenshots if possible, to aid technical support.
These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58). This serves as a public notice for the use of the Direct Hire Authority in accordance with 5 U.S.C. 3327 and 5 CFR 330. Under this recruitment procedure, applications will be accepted for each location/ installation identified.There may or may not be actual/projected vacancies at the time of your application.
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Agency contact information
DHA Questions
Phone
000-000-0000
Email
dhaquestions@hc.doe.gov
Address
Office of Environment, Health, Safety, and Security
                P.O. Box 5088
                Oak Ridge, TN 37831
                US

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Next steps
Once your online application is submitted you will receive a confirmation notification by email. The status of your application will be updated in USAJOBS as it is evaluated.

You can check the status by logging into USAJOBS. You may also sign up to receive automatic emails anytime the status of your application changes by logging into your USAJobs Account and editing the Notification Settings.

You will be contacted directly if an interview is required.

A Recruitment Incentive May Be Authorized for a newly selected employee when appointed to a permanent, temporary, or term position. A Federal employee who is transferring to the Department of Energy from another Federal agency and who does not meet the conditions under 5 CFR §575.102 is not eligible for a recruitment incentive.
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Fair & Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.

                                                Equal Employment Opportunity (EEO) Policy

                                                Reasonable accommodation policy

                                                Financial suitability

                                                Selective Service

                                                New employee probationary period

                                                Signature and false statements

                                                Privacy Act

                                                Social security number request


Staff Data Scientist Experimentation

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Remote Work
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for a Staff Data Scientist to join Block with a focus on building out Cash App’s experimentation capabilities while working across the entire 30 person DS org at Cash App.
You will:
Be directly responsible for bolstering our experimentation platform and toolingWork closely with a team of Engineers to design experimentation tools, with a focus on statistical accuracyCollaborate across multiple DS workstream to identify gaps/opportunities for increasing the effectiveness of how we approach experimentation across the companyEffectively communicate your work with team leads and cross-functional stakeholders and champion the experimentation cause more broadly across the organization
Qualifications
You have:
6+ years of data science and analytics experience in industryA graduate degree in Stats or a related field, or a bachelor’s degree and significant relevant experienceStrong statistical skills and deep expertise in hypothesis testing and designing experiments for product featuresExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Mode, etc)Experience in a high-growth tech environment Intellectual curiosity and a passion for what Cash App is building
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Product Data Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager Payments Optimization

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for a Data Science Manager to lead our Payments Optimization team within Network Operations. The Cash App Network Operations (NetOps) team is responsible for building and managing a scalable payments ecosystem for a fast growing mobile payment app with multiple external and internal partners. You and your team will partner closely with Operations and Engineering to drive the operational excellence and continuous improvement for all existing and future mechanisms to move funds into and out of the Cash App ecosystem. Although this is a leadership role, we want someone who brings technical depth - you should expect an interview process which optimizes for both leadership and technical skills.
You will:
Lead the Payments Optimizations team, including an existing team a 2 Data Scientists, and quickly scale upAnalyze, develop, and deploy sophisticated payment cost and performance optimization strategies across Cash App’s products and services. Develop and execute actionable insights to drive positive impact to the businessIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designPartner with senior leaders from Engineering and Operations to set and drive a long-term visionOffer technical mentorship to existing team members, focusing on their long-term growthUse data and expertise to build compelling narratives that communicate ideas and opportunities to gain buy in and build alignment, with both internal and external partners
Qualifications
To be successful, you should have:
8+ years of Data Science experience, with at least 2+ years of experience as a direct Manager of Data Scientists or Data AnalystsExperience working in Payments or Fintech is a plus, but not a requirementEnough (and recent) proficiency with Python, SQL and other relevant tools that will allow you to support and mentor the team and encourage their technical growthStrong communication and the demonstrated ability to translate insights into impactExcellent business acumen and a self starting attitude
Technologies we use and teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Tableau, Looker, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Remote Work
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
The Cash App Data Science team is growing and we're looking to bring in experienced leaders to lead a few different areas of the organization - Experimentation/Growth, Financial Platform and Financial Services.
You will:
Lead a Data Science workstream (this may include taking on existing team members as reports or building the team from scratch)Develop and execute actionable insights to drive positive impact to the businessIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designPartner with senior leaders from Engineering and Operations to set and drive a long-term visionOffer technical mentorship to existing team members, focusing on their long-term growthUse data and expertise to build compelling narratives that communicate ideas and opportunities to gain buy in and build alignment, with both internal and external partners
Qualifications
To be successful, you should have:
8+ years of Data Science experience, with at least 2+ years of experience as a direct Manager of Data Scientists or Data AnalystsExperience working in Payments or Fintech is a plus, but not a requirementEnough (and recent) proficiency with Python, SQL and other relevant tools that will allow you to support and mentor the team and encourage their technical growthStrong communication and the demonstrated ability to translate insights into impactExcellent business acumen and a self starting attitude
Technologies we use and teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Tableau, Looker, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Staff Data Scientist Games Mobile Analytics

Who We Are
Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios are responsible for developing 2K’s portfolio of world-class games across multiple platforms. Including Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building, and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.
Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers, and doers, are the professional publishing stewards of our growing library of critically acclaimed franchises such as NBA 2K, BioShock, Borderlands, Mafia, Sid Meier’s Civilization, Tiny Tina’s Wonderlands, WWE 2K, and XCOM.
At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.
2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).
What We Need
We are seeking a staff data scientist to be our technical leader for games analytics. The ideal person will be an authority and an individual contributor who will deliver compelling insights to influence game roadmaps and enable decisions. Have a proven track record to mentor a team and applying your technical skills to generate value. You will be someone who has a good balance of business thinking alongside analytical and technical skills.
What You Will Do

Reporting: Develop and improve our mobile analytics reporting platforms; enabling teams across the company to make data informed decisions

Business Insight: Understand the problems our studios and partners want to solve for, and then define the right data, metrics, analysis, and interpretation to lead to the right recommendations and decisions

Understand players: Help us to further understand, model, predict, segment, and retain our players and enable our studios to launch new titles, develop features, and live ops events.

Innovate: Proactively develop new analyses, experiments, and data-driven tools to better understand our players’ behavior and the performance of our games

Discover: Use data and insights to discover opportunities for driving value for the business, develop ideas for new analyses, and model

Direct: Be the voice of product analytics and help choose the right projects to prioritize for the team. Have a significant voice in the analytics roadmap

Partner Management: Recognize dependencies, build relationships, and influence partners across teams

Communication: Design clear and unambiguous stories, and visualizations to report your results/analyses

 What Will Make You a Great Fit

Experience: 7+ years of work experience in data science or analytics role

Leadership: Mentor, guide and inspire your colleagues

Analytical coding: Fluent programming via languages such as Python or R

Visualization: Adept in at least one visualization tool such as Tableau or Looker

SQL: The ability to write complex SQL queries to analyze our databases with millions of players and work with relational database systems.
Superb attention to detail, natural curiosity, and ability to problem-solve creatively

Bonus Points

Knowledge and love for the NBA and WWE franchises preferred
Intimate knowledge of game production and monetization strategies, as well as the current mobile marketing/technology landscape

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need a reasonable accommodation.

Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.


Product Data Scientist Enterprise Trust

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian is tasked to lead insights about our customers throughout their lifecycle with Atlassian. The team is responsible from defining and maintaining a customer health score, build models to predict potential churn, support business and product growth for Enterprise customers, and work to help customers get more value from our product suite, guide insights on the multi-year effort to transition server customers to Cloud. This team partner with other analytics teams. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.
We're looking for someone who is excited about building a data foundation with analytical rigor and best practices to make us best of class.
What you'll do
You will deliver analyses leading to product and business strategy insights, with a focus on our larger, most important Enterprise customersYou will develop trusted relationships with product executives and change the way your partners approach problems, and influence product roadmapsYou will work with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customersWhether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle
Your background
2+ years experience in analytics, statistics, or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)Ability to transform raw data and analysis into well-written contentExperience translating insights into actions that have a direct business impactExperience instrumenting data and supporting products and features through their lifecycleExperience building ETL pipelines using any tools or scripting languages


Data Scientist Product Analytics

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Millions of people use Trello every day, generating billions of data points. We are looking for a knowledgeable data scientist to examine user behavior and advise decision-making across the organization.
You will reporting to the Trello Product Analytics team. We're a group of 10 data scientists who love to share insights with others. We are lean and remote-friendly and looking for someone with business instincts, creativity and analytics mastery, who is passionate about applying these skills to guide smarter product decisions and delight our customers.
You will ...
Work with other product leaders to identify high impact opportunities for analytics, and align analytics and data science priorities with the product strategyPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to intelligently improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including creating and analyzing experiments and product launchesEnvision, scope, and complete projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to multiple levels of leadership to guide important decisionsFoster an extraordinary analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisionsUnblock data questions using Redshift, Athena, Databricks, Python, R, Mode Analytics, Tableau.
About you ...
2+ years of experience working in product analytics or data scienceYou have experience analyzing data and experimentation in a business setting. You know how to pick the right approach to a data question. You know that sometimes the simplest solution is the best.You enjoy collaborating with non-technical consumers of data, and turning loosely-defined questions into prioritized projects.Experience deriving insights from data and telling a story.You're extremely proficient when it comes to writing SQL and Python/R.You aim to master new technology or language when the need arises.Experience working on projects around user acquisition, retention, purchasing drivers.


Principal Data Scientist Confluence Enterprise Experience

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Product Analytics at Atlassian is an exciting and fast-growing space. At our core, we create value for both our customers and the business by understanding how and why our users use our products. We love to explore and have a lot of fun along the way.
We're hiring a Principal Data Scientist, reporting to the Principal Manager or Product Data Science.
What you'll do
You will manage a multi-area within Enterprise platform analytics, with the possibility of having direct reports in the futureYou will dig deep into both performance and API data and usage data to connect the dots together quickly and communicate insights in a way that persuades actionYou will have the opportunity to shape the product roadmapBuild relationships with strategy business operations to bridge the gap between the team's work to business metrics.You will look at product users to determine how engaged they are with the productPartner with product managers, design and engineers to measure product performance
Your background
5+ years of experience in an engineering/product performance/platform analytics environment.Understanding of front-end engineering practiceExpertise in SQL and experience in Splunk/SignalFxExperience with usage data creation process and experience partnering with engineering teams for data trackingTurn complex findings into a compelling narrative and a set of actionsExperience influencing decision-making using analyticsBackground in Engineering or quantitative subject (e.g. Mathematics, statistics, etc)


Machine Learning Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist who is interested in improving the way that teams collaborate on Trello. You will be one of the pioneering ML experts in this area, and will shape the future of machine learning in Trello for years to come. You will work with product managers, designers, and other data scientists in Trello and the larger Atlassian company.
Your future team
The Core Machine Learning team at Atlassian is a centralized group of machine learning scientists and engineers. We partner with teams across Marketing, Growth, and Product to pursue machine learning applications that create revenue or product enhancements. We practice a remote-friendly work style, and we have team members located across multiple cities in both the US and Australia.
What you'll do
Translate product and customer requirements into a feature roadmapExplore ML applications and ideas for content recommendation, personalization, and insight generationBuild ML pipelines, models, and jobs at scaleShare vision and roadmap with partners in product, design, engineering, and data science
Your background
We'll expect you to haveBachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)2 or more years of industry or academic experience in the data science or machine learning domainExpertise in Python, SQL, or Spark and a working knowledge of version control tools (e.g. Git, Bitbucket)Explain data science and machine learning concepts to diverse audiences and create a compelling storyFamiliarity with deploying and monitoring machine learning modelsA curiosity to master new product domainsIt's Great, But Not Required, If You HavePrevious experience in a product-focused ML roleExperience with the following (Airflow, Databricks, Sagemaker, and Tensorflow / PyTorch)


Analyst Product Research Analyst I Data Science

Job Summary:
The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The Individual Contributor role will report to the Safeco Auto Design manager, but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team.
Responsibilities:
Build complex loss cost models for Safeco Auto products to drive pricing and non-pricing sophistication
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level.
Please Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Job Specifications:
Reference:  2022-49662
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$69,400.00-–-$126,200.00-/-Year
Education Level:
 Travel: As Needed


Data Scientist


Staff Data Scientist

Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
WHAT YOU’LL DO
As a ‘Staff Sr. Manager - Data Scientist’  you will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Work with the data scientists on your team to develop, own, implement and deploy state of the art machine learning algorithms and other predictive models which will service as a guiding light for change and improvement. Work with your data science team and own selection, enhancements and integration of disruptive technologies (AI/ML, Automation, Optimization) focused on fundamentally transforming the way in which we operate. Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges. Coach other Data Scientists and Associate Data Scientists and drive technical best practices. Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges. Evangelize the value of data-driven decision-making. Hire and develop the best data scientists in the CPG industry Continue your growth and serve as a leading expert in the Data Science community.
WHO YOU ARE
You have a Bachelors in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience. Advanced degree in Data Science or related field ideal. You have mastery in Python and/or R and other languages. You have expertise in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries. You have experience building owning full cycle end to end model deployment. You have proven expertise in Big Data technologies such as Apache Spark, Snowflake and/or Hadoop. You have proven expertise in cloud technology like Azure, AWS, Cloudera, GC.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow.  Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry.  We are creating the future of food, and we invite you to join us.


Senior Data Scientist

Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
We are on a journey to create a digitally-powered, agile-enterprise. At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve the problem on hand. In-turn, you can look forward to high-impact challenges, no bureaucracy, entrepreneurial small teams and an unique opportunity to create and build something bold, awesome, and impactful!
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our forward-thinking, cross-functional teams – redefining from inside of a global powerhouse. You will help build our next generation of sophisticated analytics products using AI, Data Science, and Machine Learning. Examples of problems you will tackle include helping R&D resolve next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver detailed approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs.Build repeatable, interpretable, multifaceted, scalable models as the heart of new statistical products.Engineer new features by using your eye for business to improve analytical models.Collaborate to refine standard processes and deploy outstanding solutions.Promote the value of data-driven decision-making
Who you are
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have proficiency in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 3+ years of experience.You have expertise in Python and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow.  Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry.  We are creating the future of food, and we invite you to join us.


Data Scientist

About Us
The Kraft Heinz Company is one of the largest food and beverage companies in the world, with eight $1 billion+ brands and global sales of approximately $25 billion. We’re a globally trusted producer of high-quality, great-tasting, and nutritious foods for over 150 years. Our brands are truly global, with products produced and marketed in over 40 countries. These beloved products include condiments and sauces, cheese and dairy, meals, meats, refreshment beverages, coffee, infant and nutrition products, and numerous other grocery products in a portfolio of more than 200 legacy and emerging brands.
No matter the brand, we’re united under one vision: To sustainably grow by delighting more consumers globally. Bringing this vision to life is our team of 39,000+ food lovers, creative thinkers, and high performers worldwide. Together, we help provide meals to those in need through our global partnership with Rise Against Hunger. We also stand committed to responsible, sustainable practices that extend to every facet of our business, our consumers, and our communities. Every day, we’re transforming the food industry with bold thinking and unprecedented results. If you share our passion – and are ready to create the future, build a legacy, and lead as a global citizen – there’s only one thing to do: join our table and let’s make life delicious!
Our Culture of Ownership, Meritocracy and Collaboration
We're not afraid to think differently. Embrace new ideas. Dream big. We empower our people at every level – from entry-level intern to senior leader – to own their work. We share a responsibility to think like Owners – to be mindful of the collective and sustained success of Kraft Heinz – which we apply to every situation, every day.
As part of Kraft Heinz, you're supported to grow and achieve. You’re expected to bring your authentic self to work every day, to lead with humility, and drive outstanding performance at every level – and you’ll be rewarded. You’re given opportunities to leave a mark and build a legacy. But you won’t do it alone. You’re supported by passionate teammates along the way, and our collective, collaborative spirit fuels our incredible progress.
Vaccination & Future of Work Expectations
Our highest priority is always the health and safety of our Kraft Heinz family. We require our office-based, home-based, R&D, and sales team members to be fully vaccinated against COVID-19, unless approved for a medical or religious accommodation. This will enable our transition to hybrid work while maximizing the wellbeing of our entire team.
We believe the office is a critical driver of innovation, connection and development, but also realize providing more flexibility to our employees is critical in this new world. Starting in January 2022, the majority of our salaried employees will be able to work virtually for up to two days each week to create a more agile and modern workplace. Some jobs may be required to be performed fully in person depending a role’s responsibilities and requirements.
General information

                                        All posting locations:

                                    N/A, Illinois, United States of America

                                        Job Function:

                                    16 - Digital

                                        Department:

                                    16 - 02 - Data Science

                                        Date Published:

                                    16-Aug-2022

                                        Job Type:

                                    Regular
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our nimble, cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver      systematic approaches and integrating work into products and tools with a trailblazing      team of data engineers, analysts, developers, and sometimes chefs. Create      repeatable, interpretable, dynamic, scalable models as the heart of new      statistical products. Engineer new      features by using your business acumen to improve analytical models. Collaborate to      refine best practices and deploy best-in-class solutions. Evangelize      the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow.  Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry.  We are creating the future of food, and we invite you to join us.
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact HRCompliance@kraftheinz.com for assistance.


Sr People Scientist

About us:
Limeade is an employee experience software company on a mission to transform work into a source of positivity, energy, humanity, and purpose. Founded in 2006, Limeade is a pioneer in the HR technology industry and is consistently recognized for its own award-winning culture. Today, Limeade solutions are used in approximately 100 countries around the globe. We help every employee know their company cares – and deliver people and business results that matter. Limeade partners with its customers to transform the overall employee experience by helping to improve employee well-being, engagement, and sense of inclusion – in addition to reducing the risk of unwanted turnover and burnout. To learn more, visit www.limeade.com (AXS listing: LME)
About the role:
TINYpulse by Limeade is looking for a People Scientist to join the Limeade Institute and help drive thought leadership in the Employee Engagement space. A successful People Scientist will use a customer-centric approach to build our assessment/advanced listening capability (e.g., author survey questions, curate our assessment library, integrate research) and lead survey-related communication efforts. The People Scientist will partner with our data teams and marketing professionals to explore our wealth of data and create compelling research pieces. We want someone who shares our passion for simplifying analytics. Simplicity and education empower clients to draw insights from data on their own. The People Scientist will form great relationships with Customer Success and Sales as we build our Premium Consultation Services.
Expectations for Success:
Content Strategy (30%):
Collaborate with customers to design and build people-centric advanced listening and people/talent management strategies.
Curate the suite of Questions and Assessments for our Content Library.
Contribute to survey-question and product feature design sessions.
Own the process for content creation and management.
Client Results Analysis (30%):
Explore client data to identify the most valuable themes and stories to help our clients improve their culture and business outcomes
Participate in results review sessions with clients; the audience typically includes HR Professionals and C-Level Executives
Partner with the People Team and our culture committees to continuously improve our culture
Limeade Institute (30%):
Integrate findings from research and analytics initiatives into internal product plans as well as client and marketing communications
Present research and client results through leadership to create internal and external thought leadership on HR issues in a variety of industries and regions
Support and build domain expertise for our Customer Success, Sales & Marketing teams through coaching and training
Continuous Learning (10%)
The People Scientist is expected to stay current with the latest industry developments. These may be in the fields of people analytics, organizational psychology, behavioral science or digital transformation, and/or the latest innovative customer programs. Continuous Professional Development will include attendance at industry conferences, regular review of journal articles, learning new skills or methodologies.
Requirements:
Ability to demonstrate our values in an on-going and consistent way.
Master's or PhD in Industrial-Organizational Psychology, Organizational Development, or HR/Business Analytics.
3+ years of applied research experience (primary, secondary) and writing reports, publications.
3+ years of applied experience working as an HRBP within an organization or consulting to organizations.
3+ years in data and analysis using large scale data sets; experience with R preferred, experience with SQL, Python, other analytical programming languages a plus.
At least 1 year of applied experience working with surveys throughout the employee lifecycle (candidate, onboarding, engagement, inclusion, exit) and/or 360-type feedback processes.
Experience designing, implementing and analyzing surveys, as well as presenting results to executives and HR leaders.
Performance management system implementation experience not necessary but preferred.
Strong presentation skills especially when explaining data and connecting it to potential actions.
Basic knowledge of statistics and experience using statistical packages such as R or SPSS; moderate knowledge of statistics and basic knowledge of predictive analytics techniques preferred.
A desire to learn and work with new technology.
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
Apply Now
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UX Designer III


Data Scientist I

OpenX Technologies, Inc. is looking for a Data Scientist or Machine Learning Engineer to join our team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. This data volume demands sophisticated modeling and control to function efficiently and provide the best value for our customers.

We’re looking for data scientists who are interested in exploring novel solutions to difficult and high impact business problems. They will also develop new technologies and methodologies to enhance and complement projects nearing or in production as well as exploring difficult problems.

If you’re:Open-minded - happy to give & receive feedback, not afraid to fail and move onProactive - always want to find a satisfying solutionCreative - researching and developing a solution to challenging problems with large datasetsWe want to talk to you.

Key Responsibilities

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

Required Qualifications & Skills

Familiarity with SQL and programming experience in Python
Experience developing predictive models with sizeable datasets
Strong track record of working in a team and contributing to project success
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics or related

Desired Qualifications & Skills

Prior experience in a data science or machine learning engineer role
Solid grasp of probability, statistics, and quantitative analysis
Experience working with a cloud platform like GCP / AWS / Azure
Experience with the Tensorflow / TFX platforms
Advanced degree (MS+) in one of the aforementioned fields

Effective Date: March 1, 2022

OpenX Applicant Privacy Policy

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

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

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

Data you provide to us directly:

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

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

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

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

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

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

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

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

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

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

●        Where this is necessary for OpenX to review and assess your application for employment.  This may include:

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

o   processing your application;

o   analyzing and verifying your qualifications;

o   verifying your identity and your eligibility for employment; and

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

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

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

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

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

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

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

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

Disclosure to third parties

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

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

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

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

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

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

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

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

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

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

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

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

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

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