Data Scientist University Libraries

Stanford Libraries is seeking a full-time Data Scientist to join Digital Library Systems and Services.  The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.  We seek a team member who is ready to share their skills and perspectives.
About Stanford Libraries:
Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries.
About the Position:
The Data Scientist supports the operations, services, and projects of Digital Library Systems and Services, the Stanford Libraries and its partnership projects. The Data Scientist applies their skills on library data in a variety of forms and systems, with the goal of powering, extending, and enhancing library services and the research enterprise at Stanford.
The Data Scientist role has multiple areas of focus:
Participate in Research Intelligence activities in support of investigating, analyzing, and characterizing the impact of Stanford research activities and outputs using a variety of data sources. Develop reports for the Stanford Office of Scholarly Communications, research groups, principal investigators, and funders.
Investigate and apply machine learnings techniques to library corpora and services. Apply data skills and techniques in the analysis of the Libraries’ body of archival data (descriptive and administrative) to inform the ongoing management of the data and processing required to prepare and load the data into new discovery environments and systems for archival collections. Support data-intensive operations for a host of other library data systems, including the Platform for Open Data (POD), FOLIO and the Stanford Digital Repository.
Support the production operations and services of the Digital Library of the Middle East (DLME), including the applications, workflows, systems, and tools that enable transformation and indexing of metadata from a variety of sources to the DLME web application for discovery and use by a global community of researchers. In collaboration with the DLME program stakeholders and curatorial advisory team members, conduct outreach to existing and prospective user communities as well as content contributors with the goals of expanding the volume of content in DLME and its use and impact in scholarly research.
Serve as a technical lead on Stanford Libraries’ Google Analytics, supporting the management and use of analytics data for a variety of use cases and users within the Libraries, including bibliographers, curators and selectors, digital library service managers, user experience designers, public services, technical services, and library management. Generate and maintain a library operational dashboard via Tableau or like services.
In this role, the Data Scientist interacts routinely with stakeholders with data service needs and collaborates on an ongoing basis with a team of project managers, service managers, and technical analysts to plan, organize, and support the work to deliver digital services. The Data Scientist also works along with software engineers and operations engineers to ensure operations and supporting infrastructure run smoothly, and to guide the development of system and service enhancements to meet the evolving needs of the immediate stakeholder community as well as the broader research community.
Technical tasks may include: scripting; data wrangling; data analysis; data extraction, transformation, and loading; data remediation. Functional tasks may include: responding to requests; creating and updating documentation; running reports; training users; project planning and reporting; troubleshooting and reporting issues; issue tracking and prioritization; testing system changes. The Data Scientist will also, under the guidance of senior management, capture and model/map business requirements, and work with business partners to understand directions and priorities to assure the delivery of quality solutions. They will also serve as project leader on small to medium-sized projects or on a portion of a larger project, as assigned. A combination of strong data science skills and an orientation to operations and customer service are needed to successfully fulfill the role.
Core Duties*:
●     Serve as a lead on library data analysis and data science projects.
●     Develop and apply algorithmic / data science approaches to library business, collection and service needs.
●     Track and apply data science approaches.
●     Operate and develop scripts, workflows, as well as supporting documentation and training materials.
●     Collaborate with and support other team members managing projects and services or developing systems and data processing workflows.
●     Communicate with a broad range of stakeholders.
●     Act as a single point of contact between IT and the customer.
●     Perform necessary business and system analysis to gather all pertinent data related to issues in production system, patches, upgrades, and enhancements.
●     Collaborate with business partners to gather requirements and identify gaps between requirements and the application. Assist business partners with determining deliverables, creating system test plans, identifying test scenarios, managing user acceptance testing and conducting production roll out of resolution.
●     Collaborate with developers on application specifications and system enhancements to ensure appropriateness of design and delivering resolution of issues; work with business partners to test and deploy resolution in a timely manner.
●     Assist with initial determination of the feasibility of requests and ensure user requirements are thoroughly and accurately documented in accordance with standard techniques.
●     Interact with team members, the user community, and others on an ongoing basis to ensure accurate identification and delivery of business requirements.
●     Make formal recommendations, and write application specifications, including conversion, upgrade, and interface routines.
●     Develop functional specifications to ensure compliance with system developmentlifecycle methods.
●     Team up with business partners and developers to set realistic response time and/or deliverable expectations.  Manage the implementation of the approved development in partnership with developers and business partners.
* - Other duties may also be assigned
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
MINIMUM REQUIREMENTS
Education and Experience:
Bachelor’s degree and eight years of relevant experience or combination of education and relevant experience.
Minimum Knowledge, Skills and Abilities:
●     Strong capabilities in the following: scripting, data mapping, conversion, table structure knowledge, running and analyzing traces, configuration settings, page customizations, security updates, issues analysis and recommendations, running SQL queries, documentation skills, test scripts development, functional analysis,coordination of user acceptance and signoff, business process improvement, fit/gap analysis, requirements documentation and process flow charting, presentation of options and solutions facilitation.
●     Strong understanding of the components of web applications.
●     Strong understanding of the software development life cycle.
●     Strong verbal and written communication skills.
●     Ability to work effectively and collaboratively with minimum direction.
●     Ability to establish effective, ongoing relationships with clients, staff and management.
●     Ability to manage multiple competing priorities and work under pressure in high stress situations.
 Other Relevant Knowledge, Skills, and Abilities May Include:
●     Experience working in a variety of data manipulation and transformation applications and environments, including Traject, OpenRefine, and Airflow.
●     Experience working with application programming interfaces (APIs).
●     Experience working in a digital archives or digital library environment, creating, enhancing or transforming content and metadata.
●     Knowledge of library metadata standards.
●     Knowledge of machine learning techniques.
●     A strong service orientation, with demonstrated experience working with customers to deliver products and services on time with a high level of professionalism.
Physical Requirements:
·         Constantly perform desk-based computer tasks.
·         Frequently sit, grasp lightly/fine manipulation.
·         Occasionally stand/walk, use a telephone.
·         Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
Working Conditions:
·         Work extended hours.
Work Standards:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, https://adminguide.stanford.edu/ .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.  We believe Stanford’s future success will be shaped by the diverse perspectives, unique experiences, and inclusive culture of its community.
This remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures .The compensation for this position will be based on the location of the successful candidate.
The expected pay range for this position is $95,000.00 to $129,000.00 per annum.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
Why Stanford is for You:
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research into curing illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
●      Freedom to grow. We offer career development programs, tuition reimbursement, and course auditing. Join a TedTalk, watch a film screening, or listen to a renowned author or global leader speak.
●      A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
●      A healthier you. Choose from hundreds of health or fitness classes at our world-class exercise facilities. We provide excellent health care benefits.
●      Discovery and fun. Stroll through historic sculptures, trails, and museums.
●      Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.


Data Scientist

About the department
Cloudflare is looking to build and grow our Business Intelligence team responsible for building large-scale enterprise data lake and EDW from different sources and enabling various product and business teams such as Marketing, Customer Support, Sales & Finance with key business dashboards/reporting, insights and recommendation models.
About the role
As part of this initiative, we are looking for a strong Data Scientist to join Cloudflare and help us drive predictive analytic insights and best practices at scale from the ground up. This is a high visibility role and success in this role comes from marrying a strong data & modeling background with acute product and business acumen to deliver highly strategic and compelling insights that accelerate our business growth and influence our product decisions within Cloudflare. This person will also play a crucial role in hiring and growing the data science team in Austin in a rapid manner.
What we look for: predictive modeling techniques, machine learning, model creation and deployment, storytelling and visualization, strong business & product acumen, cross-functional collaboration, creative problem solving, agile mindset¬†
What you'll do

Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
Define, implement, and train statistical, machine learning, and deep learning models.
Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
Active role in hiring, growing, and mentoring the data scientist team in Austin.

Examples of desirable skills, knowledge and experience

M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
Minimum 3 years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams).
Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth).
Minimum 2 years experience with a fast-growing SaaS business based company is preferred.
Strong experience in scientific computing using Python, R, or Scala.
Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data/Cloud equivalent) etc.
Experience working with and processing structured, unstructured, and semi-structured data.¬†¬†
Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
Strong communication and presentation skills catered to different audiences within the company.
Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
Experience in hiring data scientists and establishing team best practices is preferred.

Compensation
Compensation may be adjusted depending on work location.

For Colorado-based hires and Washington hires: Estimated annual salary of $140,000 - $172,000
For New York City-based and California (excluding Bay Area): Estimated annual salary of $158,000 - $193,000

For Bay Area-based hires: Estimated annual salary of¬†$166,000¬†- $202,000

Equity
This role is eligible to participate in Cloudflare‚Äôs equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.¬† Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!¬† The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits

Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance

Financial Benefits

Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan

Time Off

Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave

¬†


Staff Data Scientist

About Vouch:
Insurance... sounds slow, old-fashioned, and unexciting. Exactly. Insurance is broken, and it's failing fast-moving, innovative startups.
Vouch is a new, technology-first insurance company backed with $160M in funding from world-class investors. Like Stripe for payments or Brex for credit cards, Vouch is creating the go-to business insurance for high-growth companies.
We're doing this by making insurance fast, responsive, and focused on our customers -high growth and innovative companies. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.

What does a work environment look like at Vouch?

Vouch is a Virtual First Workplace with office locations in SF and Chicago. This role can be based anywhere in the U.S as long as you can work our Vouch core collaboration hours (8:30 am-2:30 pm Pacific Time.)

The Job:
As a Senior Data Scientist, you will play a critical role in driving our applied AI/ML strategy to optimize our commercial lines insurance operations. Your expertise in statistical modeling, predictive analytics, machine learning, and data mining will be essential to identify patterns, extract insights, and develop innovative solutions that enhance our underwriting, pricing, and risk management processes. By leveraging advanced data analysis techniques, you will contribute to maintaining our low loss ratios, improving efficiency of our sales, underwriting, and client servicing operations, and delivering value to our clients, employees, and investors.
Responsibilities:

Lead the development and implementation of data-driven solutions that improve our underwriting processes, pricing models, risk assessment, and client experience strategies.
Analyze large, complex datasets to identify patterns, trends, and potential client risk factors that align with our product offerings or could impact our loss ratios.
Apply statistical modeling and predictive analytics techniques to create models that enhance the accuracy and efficiency of insurance risk assessments and pricing decisions.
Collaborate with cross-functional teams, including actuaries, underwriters, data and infrastructure engineers, and IT professionals, to drive data-centric initiatives and foster a culture of data-driven, AI-enhanced decision-making.
Design and implement machine learning algorithms and artificial intelligence techniques to automate and optimize operational processes, such as prospect identification, policy assessment and evaluation, claims management and client insight presentation.
Provide guidance and mentorship to analysts and data engineers, promoting knowledge sharing and skill development within the team.
Educate and mentor functional leaders and peers in other departments on the potential applications of ML/AI technologies to their domains.
Stay up-to-date with industry trends, emerging technologies, and best practices in data science and insurance analytics to drive continuous improvement and innovation.

About you:

Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
6+ years of experience as a Data Scientist, preferably in the insurance industry, with a focus on commercial lines.
Strong expertise in statistical modeling, predictive analytics, machine learning, and data mining techniques.
Proficiency in programming languages such as Python, as well as experience with data manipulation and visualization libraries.
Experience with large-scale data processing frameworks and databases (e.g., Snowflake, SQL, Vector DBs, Knowledge Graphs) is a plus.
Excellent problem-solving skills, with the ability to analyze complex datasets and derive meaningful insights.
Strong communication and collaboration abilities, with the capability to present technical concepts to both technical and non-technical stakeholders.
Leadership qualities and the ability to guide and mentor junior team members and more senior stakeholders and peers.

Nice to have:

Exposure to and passion for early-stage startups and/or high growth environments
A background in insurance or other regulated categories

Vouch provides a number of benefits to help you bring your best self to work:

Competitive compensation and equity packages
Health, dental, and vision insurance
Parental leave
Flexible vacation time (Unlimited PTO)
Wellness allowance ($80/month)
Technology allowance ($100/month)

Salary Range:
The pay range for this role is: $200,000 to $235,000 per year.
Our salary ranges are based on paying competitively for our size and industry and are one part of our total compensation package that also includes benefits and other perks. We also include stock options in all compensation packages and believe all Vouch employees should have the opportunity to become owners in the company.
Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The base pay range provided is subject to change and may be modified in the future.

Vouch believes in putting our people first and building a diverse team is at the front of everything that we do. We welcome people from different backgrounds, experiences, and perspectives. We are an equal opportunity employer and celebrate the diversity of our growing team.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to recruiting@vouch.us.  #LI-Remote


Data Scientist

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations.

We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Verizon, and Mutual of Omaha and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects of our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, building 0->1 solutions to problems, and external presentations, then we’d love to talk!

What You'll do:

Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create, and maintain self-serve internal tooling that can be used for communicating value and enabling others to answer questions
Analyze large corpuses of conversations using the latest research in NLP (e.g., LLMs): an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers

We're looking for someone who has:

Proficiency in Python, SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
Bonus: experience leveraging LLMs to solve real-world business problems in production


Senior Data Scientist

As a leading mountain resort operator with over 40 resorts in sixteen states and four countries. We exist to create an Experience of a Lifetime for our employees, so they can, in turn, provide and Experience of a Lifetime for our guests. We are looking for leaders, innovators, creators, and ambitious professionals to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!
Many of our Corporate function teams can now live and work in any of the states in which Vail Resorts currently operates* – enabling flexible remote work alongside a commitment to building and maintaining strong culture both in person and virtually. If you’re ready to pursue your fullest potential, we want to get to know you. Find your purpose with us at www.vailresortscareers.com.
Job Summary:
The Data Science & Data Engineering team is responsible for using our internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business! The team supports modeling initiatives in collaboration with our technology and business partners to enable strategic opportunities and guest facing initiatives.
As a Senior Data Scientist on the team, your goals will be to deliver increased performance of our existing portfolio of in-market models and to develop new solutions that support strategic initiatives across the business. To reach these goals, you will utilize our proprietary first party guest database that is unmatched by any other company in the industry and collaborate closely with your teammates and our business partners.
Job Specifications:
Shift & Schedule Availability: Full Time / Year Round
Outlet: Corporate
Other Specifics: Remote
The expected range is $111,900 - $151,320 + annual bonus
Job Responsibilities:
Deliver scalable machine learning solutions that positively impact marketing campaigns, operational excellence, and the guest experience
Own model development life cycle
Play a key role in driving model adoption and collaboration with stakeholders
Provide guidance and mentorship to junior team members and colleagues
Participate as a data science subject matter expert for strategic initiatives across the organization
Job Requirements:
 At least 3-5+ years of hands-on data science experience
Advanced degree in a quantitative field (Computer Science, Statistics / Math, Engineering, etc.)
Demonstrated ability to design data-focused solutions that support business requirements while accounting for data availability and technical implementation considerations
Expert-level knowledge of the strengths and weaknesses of various machine learning algorithms and ability to evaluate model performance using appropriate metrics
Experience with productionizing machine learning models, model monitoring, and CI/CD
Strong communication skills including the ability to solicit requirements from and explain technical solutions to non-technical stakeholders
Eagerness to learn new skills and help others do the same
Advanced Python and SQL skills
The expected range is  $111,900 - $151,320 + annual bonus.  Actual pay will be adjusted based on experience.
The perks include a free ski pass, and a set of benefits including...
Medical, Dental, Vision insurance, and a 401(k) retirement plan
Hourly employees are generally eligible for accrued Paid Time Off (PTO), Extra Time Off (ETO) and Sick Time.  Salaried employees are generally eligible for Flexible Time Off (FTO)
Paid Parental Leave for eligible mothers and fathers
Healthcare & Dependent Care Flexible Spending Accounts
Life, AD&D, and disability insurance
Reach Your Peak at Vail Resorts.  At Vail Resorts, our team is made whole by the brave, passionate individuals who ambitiously push boundaries and challenge the status quo. Whether you’re looking for seasonal work or the career of a lifetime, join us today to reach your peak.
*Remote work is currently permitted from British Columbia and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work remotely, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work at any time in its sole discretion.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
Requisition ID 495042


Senior Research Data Scientist

About the Role
As a Senior Research Data Scientist at Coalition, you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyber insurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection/reduction, pricing, and automation to grow our revenue in a safe and efficient manner.
Responsibilities

Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analyze large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Analyze disparate data sources and synthesize into a narrative of what is happening in the data
Train and mentor junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

Skills and Qualifications

Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Understanding of and experience with experimental design and statistical methods
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Skills

Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives

Perks

100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $125,000 - $205,000, and your recruiter can share more on target salary for your location during the interview process.

#LI-Remote


Senior Data Scientist Forecasting And Ml Ops

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer!
Your role at Clorox:
Are you a Data Scientist with a passion for shaping the future of forecasting and business planning? Join our team and help us revolutionize the way we predict and plan for the future! In this exciting role, you'll be at the forefront of developing and deploying cutting-edge forecasting models using a variety of advanced techniques, including machine learning, statistics, and data mining.
As our Data Scientist, you'll be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models, working alongside a dynamic and innovative forecasting team. With your expertise, we'll embed predictive analytics and data science capabilities into global decisions, empowering business units with scalable, reusable models.
Reporting to our Associate Director of Enterprise Analytics, you'll have the opportunity to drive transformation through your visionary ideas and technical expertise. If you're passionate about taking on new challenges, collaborating with cross-functional teams, and delivering end-to-end analytics and data science solutions from idea conception through production and deployment, then this is the role for you!
In this role, you will:
Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integrationOversee the solution's ML Ops from a model standpoint, own the management of data & model driftRetrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / formatDo first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debuggingCollaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver valueEvaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise
What we look for:
5 plus years of overall data science experience3 plus years business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units)Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use casesExperience in data management, e.g., wrangling, extraction, normalizationAbility to build industrialized data pipelinesProficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an assetAbility to navigate, collaborate and deliver production-grade code in a complex industrialized code baseExperience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CDExperience using business intelligence tools like Power BI / TableauExperience in Azure and Databricks are a plus Understanding of design and architecture principles is a plus Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytellingStrong project management skills to stay on top of the timelines and deliverablesAutonomy and creativity with an ability to design suitable technical solutions to solve business problemsBachelors degree required; Master's preferred
Workplace type:
Hybrid preferred; Will consider remote
We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.
At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.
[U.S.]Additional Information:
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more.
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.
–Zone A: $116,700 - $229,800
–Zone B: $107,000 - $210,700
–Zone C: $97,200 - $191,500
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.
This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies.
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.


Postdoctoral Fellow Population Genetics Genomic Data Science

About Ancestry:When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families.We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field!
Join the DNA Science team as a Postdoctoral Fellow and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history.
What you will do:
Analyze genomic data to shed light on human population structure and history, infer populations of origin, and identify genetic relatedness
Develop state of the art computational algorithms and statistical methods
Bring new research ideas and questions to the team that leverage our unique data set
Aim to publish results generated by postdoc fellows in scientific journals and have them present at conferences
Join Ancestry’s DNA Science postdoc program, a 2-3 year training program — the exact length will depend on the specific research project.
Who you are:
You have a Ph.D. in Population Genetics, Genomic Data Science, Computational Biology,
or a related field.
You have demonstrated excellence in applying quantitative methods to large scale genomic data.
You have developed novel probabilistic models and algorithms for analyzing genomic data.
You have excellent programming skills.
You can manage projects with timelines.
You can effectively summarize and communicate complex research findings to different audiences.
You can operate independently and collaborate with team members to achieve the needed results.
#GDSponsored
#IND2
#LI-JE1
As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity.  We are pleased to share the base salary range for this position: $50,000 - $90,000 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience.  We will share detailed compensation data for a specific location during the recruiting process.  Read more about our benefits HERE.
*Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23)
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


Senior Data Scientist

OneStudyTeam Voluntary Demographic Questionnaire
At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer."
To learn more about OneStudyTeam's commitment to diversity, equity, and inclusion, please see our diversity statement and information about the BRIDGE Initiative.
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Data Scientist Nlp

About Ancestry:When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. With more than 30+ billion digitized global historical records, 125+ million family trees, and 22+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives.We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
We are hiring a Data Scientist with NLP expertise to join our centralized Data Science & Machine Learning Team. Reporting to our VP of Data Science, you will be a leading contributor on a team bringing together advanced degrees and expertise solving Ancestry's toughest and most exciting data science challenges. You will have access to Ancestry's unique content collections and data spanning decades and centuries across a variety of media channels. Your mission is to mine, extract and organize information from these collections to create user experiences to inform, enlighten, and delight customers.
What you will do...
Use Computer Vision and Natural Language Processing (CV-NLP) methods and expertise to build models that extract and organize information from billions of historical and genealogical records.
Build models that promote product development, customer success, and content creation across our Family History business.
Work with teams and partners across the company providing data science support for multiple projects.
Advocate for a data-driven culture and push long-term value creation through development of outstanding data science capabilities.
Who you are...
4 years related professional experience
Expert level in machine learning, computer vision, and deep learning
Excellent project management and written skills
Experience translating requirements from partners into detailed implementation plans
Experience completing multiple data science projects end-to-end; from idea generation, objective formulation, to implementation and deliverables
Experience understanding and implementing published models and methods for practical application and real-world problems.
Experience in document image processing i.e.: computer vision methods, image classification, object detection, segmentation, layout analysis, redaction, handwriting recognition.
Preference for experience building and training models with deep learning frameworks like TensorFlow and Pytorch.
Strong proficiency in Python and related imaging tools and libraries, Java and multi-threaded programming preferred
Preference for current familiarity with leading trends and advances in document analysis and recognition, and experience with cloud (AWS)
Helping people discover their story is at the heart of ours.  Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers
#GDSponsored
#IND2
#LI-MK1
As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity.  We are pleased to share the base salary range for this position: $68,000 - $191,000 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience.  We will share detailed compensation data for a specific location during the recruiting process.  Read more about our benefits here: https://www.ancestrybenefits.com/.
*Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23)
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


Data Scientist

Data Scientist
United States

            and 1 more

(Remote)
Trending
Job Description
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.   Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
Ford Motor Company's GDIA organization is seeking a skilled data scientist to join our Quality Analytics team. As a Data Scientist on our Quality Analytics team, you will focus on preventive quality control, developing and implementing machine learning models to detect anomalies in our manufacturing components' test data. Your work will be crucial in identifying quality issues during production and ensuring our commitment to excellence.
Responsibilities
What you’ll be able to do:
Develop, implement, and fine-tune anomaly detection machine learning models for manufacturing components test data.
Analyze and interpret multi-modal datasets, uncovering trends and insights that will inform our quality control strategies.
Continuously improve the efficiency and accuracy of existing machine learning models.
Develop scalable model architectures for fast and reliable model retraining purposes.
Collaborate with the production team and other stakeholders to prevent defective parts from reaching customers.
Document and communicate findings and insights to stakeholders clearly and concisely.
Stay current with the latest advancements in machine learning algorithms and industry best practices.
Qualifications
The minimum requirements we seek:
Bachelor's degree in computer science, Statistics, Mathematics, Engineering, or a related quantitative field.
Minimum of two years of experience in Python programming language.
2+ years’ experience in analyzing high-dimensional datasets.
2+ years’ experience in SQL programming language and relational databases.
2+ years of experience with data analysis and visualization Python packages such as Pandas, SciPy, Seaborn, etc.
2+ years of experience with supervised machine learning algorithms and at least one of the following popular Machine learning frameworks: Scikit-learn, Pytorch, TensorFlow, and XGBoost.
Solid understanding of unsupervised machine learning algorithms such as isolation forests, one-class SVM, autoencoders, etc.
Familiarity with feature engineering concepts, Fourier transform, and statistical feature extraction and selection.
Our preferred requirements:
Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field is preferred.
Experience with Git and GitHub for version control and collaboration.
Experience with Google Cloud Platform for data processing and machine learning tasks.
Familiarity with the concept of time-frequency analysis and deep learning-based feature extraction.
Familiarity with sequential data modeling, feature extraction, and deep neural net architectures such as LSTM, GANS, and Conditional Random Fields.
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.  Visa sponsorship is not available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf
At Ford, the health and safety of our employees is our top priority.  Vaccination has been proven to play a critical role in combating COVID-19.  As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons.  Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen.  As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Apply Now
Job Info

    Job Identification
12411

    Job Category
IT Technology Management

    Posting Date
05/12/2023, 07:30 PM

    Degree Level
Bachelor's Degree or equivalent

    Job Schedule
Full time

    Locations

            22001 Michigan Avenue, Dearborn, MI, 48124, US

    (Remote)

    Preferred Degree
Doctor of Arts

    Remote
Yes


Senior Data Scientist

Senior Data Scientist
Location: Remote in the United States
BlueVoyant is seeking a Senior Data Scientist to join its Data Science team. We are an interdisciplinary team working closely with Engineering, Cybersecurity Analysts, and Product teams to identify and evaluate opportunities for data-science driven improvements, build prototypes and deploy solutions at scale.
The Data Science team plays a key role in solving the most important and critical problems for the company.Some of the topics a successful candidate can expect to work on include detection of suspicious activity, determining ownership of Internet assets, entity resolution, and identifying data or environmental trends.
You will join a team that works directly with the raw data, often developing models and analyses directly from the source data. Together with other teams, we design the approaches and schemas for storing massive amounts of data. We typically build and deploy the alpha version of production models and continue to collaborate with operations developers  on pull through efforts creating stable operational processing.
Responsibilities:
Work with multiple teams to identify and solve business critical production problemsUse your statistical knowledge to understand the past and predict the futureHelp us define and push the standard of excellence for cybersecurity data integrityPresent findings to key stakeholders in the company and other teams
Qualifications:
Have an advanced degree, MS or PhD, or 10+ years of practical working experience within a quantitative field such as (but not limited to) Statistics, Economics, Computer Science, Data Science, Biostatistics, Engineering, or Applied MathematicsBe willing and able to dive deep into the realm of cyber security and Internet dataThis includes being comfortable working directly with structured and unstructured data at up to a petabyte scaleMaster the skill of hypothesis testing, both theoretically and empiricallyMaster as least one of the following topics: Natural Language Processing, Unsupervised Learning, or Graph/Network ModelingBe experienced with key languages such as SQL, Python and UnixBe comfortable working in a cloud-based environment such as GCP, AWS or AzureBe able to work side-by-side with expert Data Scientists, Data Engineers and Cybersecurity AnalystsThrive in a fast-paced start-up culture
What we offer:
A mission to stand behindOur customers see a direct effect of our workA supportive working and development environmentWe have daily team stand-ups with dedicated time to technical discussions and a dedicated social call (no work talk!) once a week
About BlueVoyant
At BlueVoyant, we recognize that effective cyber security requires active prevention and defense across both your organization and supply chain. Our proprietary data, analytics, and technology, coupled with deep expertise, works as a force multiplier to secure your full ecosystem. Accuracy! Actionability! Timeliness! Scalability!
Led by CEO, Jim Rosenthal, BlueVoyant’s highly skilled team includes former government cyber officials with extensive frontline experience in responding to advanced cyber threats on behalf of the National Security Agency, Federal Bureau of Investigation, Unit 8200, and GCHQ, together with private sector experts. BlueVoyant services utilize large real-time datasets with industry leading analytics and technologies.
Founded in 2017 by Fortune 500 executives, including Executive Chairman, Tom Glocer, and former Government cyber officials, BlueVoyant is headquartered in New York City and has offices in Maryland, Tel Aviv, San Francisco, London, Budapest, and Latin America.
All employees must be authorized to work in the United States. BlueVoyant provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlueVoyant complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Disclaimer: Please note that pursuant to contractual requirements and applicable law, in order for employees to perform work on some of the company’s federal contracts, U.S. citizenship is required. Accordingly, an employee’s ability to perform work on such contracts is contingent upon the company’s verification of the employee’s citizenship status. Furthermore, individuals may be subject to additional background checks and fingerprinting.
BlueVoyant Candidate Privacy Notice
To understand how we secure and manage your personal data upon submitting a job application, please see our Candidate Privacy Notice, which can be found here - Candidate Privacy Notice


Senior Data Scientist

Description
Sprout Social is looking for a Senior Data Scientist to join its Data Science and Engineering team.
Why join Sprout’s Data Science and Engineering team?
At Sprout, we've only scratched the surface of what's possible with our data. There’s no shortage of opportunities to make a big impact on the business through the development of data products such as new machine learning systems, KPIs and dashboards, or new data integrations and data sources. Because Data Science, Data Engineering and Business Analytics all work under the same team here, there aren't the standard organizational roadblocks teams sometimes face to do their work. Our work impacts and touches all corners of the business, and we enable Sprout’s data culture through support, teaching and mentoring across teams. Come join us as we seek to act as both engineers and advisors, building functionality within the Sprout ecosystem and partnering with our colleagues across the organization to enable a more data-informed culture.
What you’ll do
Develop and deploy new product features that deliver new capabilities to our customers.
Work closely with product managers, engineers, and designers on our product teams to define opportunities for applying data science to our products.
Own the machine learning model development process for your project, including curating data, training models, and working with cross functional teams to get your models into Sprout’s products.
What you’ll bring
We’re looking for an experienced and passionate data scientist to build great software with us and to help shape the features we build and how we work with Product. If you can confidently deploy data science services, and are passionate about learning and mentoring others, we’d love to talk with you!
The minimum qualifications for this role include:
3+ years working as a data scientist working in cross-functional teams to deploy production-level data products
2+ years of experience leveraging the Python data science stack for model development and deployment
Preferred qualifications for this role include:
Experience working in a broad range of ML problem spaces, such as classification, regression, time-series, recommendation systems, anomaly detection, and/or natural language processing
2+ years of experience retrieving and manipulating data in relational and/or non-relational databases
Prior experience training and deploying neural networks such as PyTorch or Tensorflow and using HuggingFace or other NLP libraries.
Prior experience building and deploying customer-facing data products in a SaaS environment
How you’ll grow
Within 1 month, you’ll plant your roots, including:
Complete Sprout’s New Hire training program alongside other new Sprout team members.
Become familiar with our existing services and available data.
Learn about our existing model and deployment patterns.
Begin meeting with product and data science stakeholders to understand existing problem spaces and needs.
Within 3 months, you’ll start hitting your stride by:
Work with your manager to define the first data product you’ll work on and begin the process of developing it
Either extend existing services or develop new tools to help our customers optimize their social content
Continue learning about Sprout’s products and customers to inform a potential roadmap of data-products
Within 6 months, you’ll be making a clear impact through:
Deploy your first data product in concert with product management, design, engineering, and ML Engineering
Work with stakeholders to begin to develop a longer-term roadmap of data products
Provide input into our ML Engineering practice to help define deployment patterns that will be leveraged by you and other data scientists
Within 12 months, you’ll make this role your own by:
Actively monitoring and iterating on the data product you’ve deployed
Continuing to develop new data products
Identify new opportunities for data science-backed capabilities
Collaborate with our ML Engineering team to identify technical debt and performance bottlenecks within our system and come up with a plan to improve the code
Expand your skills by learning from other engineers and data scientists around Sprout.
Surprise us! Use your unique ideas and abilities to change your team in beneficial ways that we haven’t even considered yet.
Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.
Our Benefits Program
We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:
Insurance and benefit options that are built for both individuals and families
Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
High-quality and well-maintained equipment—your computer will never prevent you from doing your best
Wellness initiatives to ensure both health and mental well-being of our team
Ongoing education and development opportunities via our Grow@Sprout program and  employee-led diversity, equity and inclusion initiatives.
Growing corporate social responsibility program that is driven by the involvement and passion of our team members
Beautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting
Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.
The base pay range for this role is $145,000.00 - $175,000.00 USD annually. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements.
Sprout’s compensation ranges are intentionally broad to allow for our team members' growth within their role. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.
Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit).  Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.
Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at accommodations@sproutsocial.com and let us know the nature of your request and your contact information. We'll do all we can to ensure you're set up for success during our interview process while upholding your privacy, including requests for accommodation. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster  (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement.
When you apply for employment with Sprout Social, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references as necessary to consider your job application for open positions. Your personal data will be shared with Greenhouse Software, Inc., and Crosschq, Inc., cloud services providers located in the United States of America and engaged by Sprout Social to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, by clicking “Submit Application” on this site, you consent to the transfer of your personal data to the United States. For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy.
Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law.
#LI-REMOTE


Machine Learning Scientist Ii Images Deep Learning

Machine Learning Scientist II (Images/Deep Learning)
Available in       2 locations
            Data Science and Analytics
            02/06/2023
            4365621
Save
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
About the Role
This role is to be based remotely or hybrid in Portugal or UK only.
The Tripadvisor Data Science Team is looking for an exceptional individual to help design and build next generation systems that model how travelers interact with the various products on the site. Such models will allow a significant improvement in our ability to offer to travelers the most tailored and relevant travel products to them (e.g. showing the top family-friendly beachfront properties in Cancun). This individual will have the opportunity to work on deep learning projects across a variety of verticals including hotels, restaurants, experiences, etc. with a strong focus on computer vision, and work on problems including (but not limited to) image understanding, sorting and recommendation, content moderation, etc.
Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including sorting, recommendation, computer vision, natural language processing, etc. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!
What you will be doing:
Implementing cutting edge machine learning models in image classification, object detection, semantic segmentation, etc., to solve a variety of core business problems
Harnessing our database of over 600M images to train new models
Writing ETL automation pipelines
Building prototypes, running evaluations, optimizing deployments, and maintaining new models in production
Designing A/B tests and analyzing their results
Communicating progress and experimental results to technical and business stakeholders
Planning and brainstorming future projects
Minimum Qualifications:
Advanced degree in Computer Science, Data Science, Engineering, Statistics, or related field
2+ years experience developing deep learning models at scale from inception to production
Strong background in machine learning, deep learning, and statistics
Strong computer science (data structures and algorithms) foundation
Proficiency in a mainstream Python deep learning framework: PyTorch, Tensorflow, or Keras
Experience with big data technologies, such as Snowflake, Hive, Spark, etc. and ability to write complex SQL queries
Experience with modern python based data science libraries including pandas, numpy, scikit-learn, and tools like Jupyter notebooks, etc.
Bonus Qualifications:
3+ years experience developing deep learning models at scale from inception to production; and, at least one year of industrial experience with computer vision models
Experience with hosted notebooks and modern ML tooling: Kubeflow, MLflow, W&B, etc.
Knowledge of A/B test design and analysis
Experience doing ML & data science for large scale online services
What you’ll get:
Highly competitive salary along with the following:
Annual bonus
Stock options
Excellent contributory pension
Full family private medical cover
Full dental cover
Annual wellbeing allowance (e.g. gym membership, Apple Watch, etc.)
Complimentary Tripadvisor Plus membership
Personal travel reimbursement and other travel discounts
Critical illness plus full life cover
Employee assistance program
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request . Please include the job requisition number in your message.
#LI-GW1
#LI-Remote
#LI-Hybrid

          Apply now


Sr Product Data Scientist

Philo C2B8E0A8 91A3 40Cb Aa51 5Bc12F0E2E06

Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion
Running experiments to evaluate content personalization
Building data models for analysis of lifecycle marketing communications
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features
Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
Iteratively improve our experimentation methods and establish best practices for A/B/n experiments
Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: Cambridge, MA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
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Director Of Machine Learning Science Ai Automation Optimization

System1 is looking for an experienced data science leader to join our team as the Director of Data Science for AI Automation & Optimization.  In this role, you will be responsible for leading a talented team of data scientists focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

Lead a team focused on developing an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions making decisions that impact millions of dollars of ad spend and revenue per day
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1

What You Will Bring:

Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
Previous experience leading a highly technical machine learning / data science team
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning, stochastic optimization, and deep learning techniques
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Solid software design and implementation skills with a general-purpose programming language preferred (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer:

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
#BI-Hybrid

The U.S. base salary range for this full-time position is $213,000 - $352,900 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.


Service Delivery Program Manager Data Science Analytics

Company DescriptionZayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 133,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.The Service Delivery Program Manager, Data Science & Analytics will be responsible for assisting with analytics programs and initiatives, primarily focusing on data visualization processes using Tableau. This role will also assist with dashboard creation, automation of reporting processes, data integrity, project management and business intelligence. The successful candidate will provide outstanding support for Senior Management, Service Delivery Leadership and related programs. This role provides challenge, variety, and exposure to several areas of the business.The Program Manager, Data Science & Analytics will amplify our growth by implementing and maintaining a process for methodical focus on all areas of the business that can accelerate installs and expedite revenue. This role will work in partnership with the Strategy and Operations team, responsible for the implementation and execution of scalable processes and reporting to drive collaboration and cooperation between Service Delivery and other organizations across Zayo. The Program Manager position requires analytical skills and a “can do” attitude, with eagerness to learn new tools that may require coding in new languages - ie, SAQL (similar to SQL and Pig Latin Query Language) and Python (similar to R). Proactivity and personal communication skills are critical, as this role demands constant interaction with Service Delivery leaders, Senior and Executive leadership, developers and other IT professionals, sales operations and other teams across Zayo Group.Responsibilities
Curate efficient dashboards and lenses in Einstein Analytics and Tableau, providing insights for decision makers
Creates efficient reports in Salesforce.com for various needs and departments
Create and maintain reports and dashboards to track success for various programs
Analyze delivery and customer data to support executive, delivery teams and partner organization representatives
Support data strategy and process improvement efforts by coordinating with multiple IT resources and data strategy team
Automate and simplify efforts using scripts
Proactive communication and updates on progress to both management and the organization through multiple platforms
Partners with Delivery teams and others to ensure data is accurate and up to date
Provides analysis and support for senior management requests related to Delivery performance
Develops sheets and maintains templates for data entry completed by outside teams.
Assists in ad-hoc analytics/reporting requests for various teams
Opportunity to work on advanced analytics projects and predictive models
Qualifications
Academic
Bachelor of Arts/Science Degree business analytics, operations, computer science, marketing, finance, business administration, economics, or related degree required

Masters in Business Analytics, Data Analytics, Computer Science, Marketing Analytics, Information Science or related field experience required

Coding:
Intermediate/Advanced Excel - VBA required

Intermediate/Advanced SQL required

Intermediate/Advanced R/Python  required

Pig Latin Query Language/SAQL  preferred

Work Experience
3+ years of experience in a Data Science or Data Analytics Role
Advanced experience in Data visualization required

Advanced knowledge of Tableau/Einstein required

Advanced skills in Google Sheets and Excel required

Advanced Experience in Salesforce or similar CRM tool required

Strategic, analytical and program management skills.
Proficient with Google Suite

Excellent Interpersonal Skills
Strong attention to detail.
High energy individual with strong work ethic.
Ability to interact effectively with all personnel.
Excellent written and verbal communications skills.
Autonomous yet comfortable teaming with others on various projects.

Interest in the intersection between qualitative and quantitative data.
Ability to plan, prioritize and organize effectively and work under pressure deadlines.
Base pay range: $75,500 - $110,660, commensurate with experience. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time#LI-EC1Benefits, Rewards & Wellness
Excellent Health, Dental & Vision Insurance
Retirement 401(k) Savings Plan
Fitness membership discounts
Generous paid time off policy including paid parental leave
Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.