Senior Manager Data Science

Data is a core competency of Hotel Engine, and the team has for mission to ensure we leverage our data assets as well as advanced analytics and machine learning to deliver product and business value across the organization and achieve our overarching company goals, be they revenue, member experience or scalability goals. The team’s core pillars include building and maintaining our data infrastructure, working with cross-functional stakeholders to deliver high-value business intelligence and analytics, and building data science & ML-driven models and services to power and improve our product, increase customer engagement and satisfaction, and deliver efficiency gains throughout the organization.
We are looking for a Sr. Manager to take a leadership role on our Data Engineering and Data Science team and support our fast growth. This is a key technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.
Reporting to our VP of Data Engineering and Data Science, you will grow and lead a team of data scientists, data engineers and data analysts, and will act as both a people and technical thought leader. If you are passionate about travel, about working on both strategic projects and hands-on implementation, and relate to our vision and DNA, please apply.
Although most of the team is based in Denver, the role can be remote for the right candidate.
Here's what you'll do:

Develop and lead a data team strongly integrated with product and engineering and with company-wide stakeholders including sales, marketing, supplier relations, traveler experience, and finance
Partner with product, engineering, and other cross-functional leaders to drive analytics and insights-driven decision making throughout the business
Work with the VP of Data to develop, obtain support and execute on a short, medium, and long-term data roadmap and strategy. Lead quarterly and monthly planning process, as well as weekly sprints
Recruit great data scientists, data engineers and data analysts, in collaboration with Hotel Engine’s recruiting team. Mentor the professional development of direct reports, managers, and individual contributors, through coaching and performance management. Build diverse and distributed teams and collaborative environments.
Establish rules of engagement and processes to manage data and analytics requests, prioritize them effectively, and deliver within committed timeframes while at the same time not losing track of the data team’s core monthly and quarterly goals
Ensure that the team builds and maintains world-class data pipelines, data warehouse, and business intelligence and analytics solutions.
Design, built, synthesize and present robust analyses aimed at driving the strategic direction of Hotel Engine
Lead the development of predictive algorithms based on principles from statistics, machine learning and operations research to power and improve product features, increase customer engagement and satisfaction, deliver efficiency gains throughout the business, and support better decision making
Work with product and engineering to deploy ML-based solutions into production
Working closely with cross-functional stakeholders to define, track and report core business and product metrics and KPIs to inform both strategic decisions and day-to-day business operations
Identify new opportunities to leverage data to improve HE’s products and processes and help our business
Work with product and engineering to define and capture key metrics for our new products and identify causal impact through experimentation and causal inference methods

Here's what we’re looking for:

6+ years of relevant experience in data analytics, data science and/or machine learning. At least 4 years as an individual contributor and at least 2 years leading a data team
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Mathematics, Sciences or Engineering)
Expert knowledge of a scientific computing language (such as Python or R) and SQL
Expertise in statistics and machine learning, and a history of empowering whole organizations to use data by making data robust, well-structured, and as self-serve as possible
Leadership experience in an analytical role at a growth-stage company
Strong track record of recruiting and leading high-performing data teams
Excellent communication skills both in written (memos, emails, decks) and verbal form
Proven ability to lead projects to completion and collaborate seamlessly with others
You are a self-starter, able to operate effectively and with autonomy in a fast-paced environment with a high level of ambiguity, and you have experience building productive and positive relationships across an organization at all levels (entry level to senior executives)
Track record of rigorous execution and high impact
Highly detailed-oriented and exceptional organizational and follow-through skills is a must

Cash Compensation:

The total cash base compensation for this role is between $145,000 and $180,000/year with an annual bonus target of up to 15%. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, OH, PA, TN, TX, & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.


Data Science Manager

We’re looking to add an experienced Data Science Manager to our  Data Science team. This new team member will be instrumental in leading and developing data science solutions from the idea to maturity as we continue to make the retail world a better, more sustainable  place.

At Nextail, we  empower retailers to create better experiences while using fewer of the world's resources. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans.
Data Science at Nextail
The DS Team is part of the Product Team, our goal is to multiply the impact of our product on the business.  Data Science Techniques, AI, ML, Optimisation, Simulation, Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Engineers and Business Experts to solve the end to end problem.
We are business focused, we get into the skin of our customers, we learn to talk their language, we feel their pain and their joy.
We believe in Data Ops, and Agile Data Science methodologies, in adding value fast, keeping things simple, and iterating to improve while the effort is worth it. Life is short, our time is gold, we automate, we prioritize, we ensure focus, we carefully choose our objectives to be sure to achieve them.

Our job is not finished when the model and the end to end solution is in production, or after the change management and operational details are closed, not even when we have strong evidence that the solution is solving the user problem and she is satisfied, because after that we continue monitoring our models.

We are scientists, empiricists, we measure the impact in the business, we progress with small steps, one at a time validating hypotheses at the lowest cost.

We are humble, we never know enough, we embrace uncertainty, we are all the time learning from the wise and the data.
We listen carefully to the business experts, and to our DS pairs and make sure we understand each other, we validate every assumption and hypothesis both with them and with the data, we are always thirsty for feedback and validation.
The discussion between pairs, working together, challenging each other, is the fastest way to solve a problem and to grow as a Data Scientist. We have a culture of sharing, transparency, of meritocracy, of caring and trusting each other.
You are:
Curious
Analytical
Business Oriented
Pragmatic
Methodical
Proactive
Committed
Autonomous (but you also like to ask for help)
Humble (but ambitious...)
Both team player and leader

We offer:

High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.

Remote-first philosophy: Nextail started as a remote company and continues to offer a nice mix of remote and/or office-based environments around the world.

International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.

Diversity on all levels: United as a single team, we celebrate diversity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting and entrepreneurship.

The laptop of your choice: We want you to work with the tools that are most comfortable for you!

Flexible compensation plan: We offer a fixed + variable salary as well as company equity as we progress towards our Series B fundraising round.


Data Scientist Optimization

We are looking for a Data Science Generalist, with experience in Optimization, good programming skills, and business-oriented.
At Nextail, we  empower retailers to create better experiences while using fewer of the world's resources. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans.
Data Science at Nextail
The DS Team is part of the Product Team, our goal is to multiply the impact of our product on the business.  Data Science Techniques, AI, ML, Optimisation, Simulation, Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Engineers, and Business Experts to solve the end-to-end problem.
We are business-focused, we get into the skin of our customers, we learn to talk their language, we feel their pain and their joy.

We believe in Data Ops, and Agile Data Science methodologies, in adding value fast, keeping things simple, and iterating to improve while the effort is worth it. Life is short, our time is gold, we automate, we prioritize, we ensure focus, we carefully choose our objectives to be sure to achieve them.

Our job is not finished when the model and the end to end solution is in production, or after the change management and operational details are closed, not even when we have strong evidence that the solution is solving the user problem and she is satisfied, because after that we continue monitoring our models.

We are scientists, empiricists, we measure the impact in the business, we progress with small steps, one at a time validating hypotheses at the lowest cost. We are humble, we never know enough, we embrace uncertainty, we are all the time learning from the wise and the data.
We listen carefully to the business experts, and to our DS pairs and make sure we understand each other, we validate every assumption and hypothesis both with them and with the data, we are always thirsty for feedback and validation.
The discussion between pairs, working together, challenging each other, is the fastest way to solve a problem and to grow as a Data Scientist. We have a culture of sharing, transparency, meritocracy, caring, and trusting each other.
We offer:

High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.

Remote-first philosophy: Nextail started as a remote company and continues to offer a nice mix of remote and/or office-based environments around the world.

International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.

Diversity on all levels: United as a single team, we celebrate diversity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting and entrepreneurship.

The laptop of your choice: We want you to work with the tools that are most comfortable for you!

Flexible compensation plan: We offer a fixed + variable salary as well as company equity as we progress towards our Series B fundraising round.


Decision Science Lead Marketing

Purpose of Job
We are seeking a talented Decision Science Analyst Lead supporting Marketing for our San Antonio Corporate office or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading  practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ). Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of progressive functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, etc.) to include 6 years of experience in data & analytics Or Advanced degree in Business, Science, Finance, Mathematics, Economics or relevant discipline and 6 years of experience in data/analytics or business relevant function (directly related functional business experience within the industry of responsibility is acceptable for 3 of these years)3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Prior experience with planning and forecasting marketing effectiveness based on the marketing budget allocated by the businessPrior planning and forecasting experience focused on expected results driven by a set budgetExperience implementing emerging technology and techniques for analytical purposesPrior digital marketing analytical experience in Insurance; knowledge of marketing analytical process and measurement frameworkAbility to work on multiple projects in a fast-paced environment with limited supervisionStrong relationship management and negotiation skills; ability to influence senior leadership and drive business resultsTesting experience – designing, leading, executing, and analyzing results
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Data Scientist Lead Computer Vision

Purpose of Job
We are seeking a talented Data Scientist Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work remotely in a 100% Remote Work Environment.
This role will have a heavy focus on developing and advancing the Bank’s computer vision capabilities by delivering computer vision solutions to meet critical business needs and by serving as subject matter expert to develop the skills of other data scientist.
Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought leaders to ensure enterprise has access to cutting-edge thinking and technologies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Expert in Computer VisionExperience in building advanced analytics for a Bank product, preferably Mortgage Banking.Expert in Natural Language Processing.Excellent communication and storytelling skills.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Data Scientist Lead

Purpose of Job
We are seeking a talented Data Scientist I for our San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; Tampa, FL or our Charlotte, NC facility. This person may also work remotely in a 100% Remote Work Environment.
Candidate selected for this position is going to work with USAA enterprise data office data science team. They will leverage the advanced machine learning method to drive member insights and enhance member experience of the organization.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
We're proud of USAA's strong history -- and we're even more passionate about our future. That's why we have a team of supportive and collaborative hardworking technology professionals focused on doing more for our members. And why we're continuing to add innovative problem solvers to our team. With us, you'll find exciting challenges that inspire you to continue learning and growing.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential.
Minimum requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred experience:
Expert in at least one of the areas: Classification, Neural network, Computer Vision, NLP or graph models.Experience in building advanced analytics leveraging cross channel member data.Excellent communication and storytelling skills.Java based simulation/optimization solution.Cloud data migration and development.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $135,200 - $243,500*
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.


Data Scientist I

Purpose of Job
**Two positions available**
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization) supporting a Bank product.Fluency in Python, SQL skills to develop numerical models.Worked with Hive in Hadoop, or Spark. Snowflake a plus.Grasp of mathematics, with a proficient foundation in calculus, linear algebra, probability, and statistics.Exposure to natural language processing (NLP), deep learning, computer vision.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Principal Data Scientist Us Canada Latam

WHAT WE DO & WHO WE DO IT FOR?
We empower tens of thousands of employees worldwide to work anywhere in the world.
Velocity Global is a cloud-based, workforce management and payment platform that makes it possible for employees and contractors, like you, to work and get paid just about anywhere on the planet. Our SaaS platform enables the world’s leading companies to identify, hire, and pay the best talent in over 185 countries, as well as all 50 United States. The world’s most innovative companies rely on Velocity Global’s workforce management and payment platform, to build highly collaborative global teams. This is done with the click of a button, without the cost or complexity of setting up foreign legal entities, or state registrations.
With Velocity Global’s Workforce Management and Payment platform, nearly any location is possible. Make work, work.
WHO ARE WE?
We are a team of passionate, creative, empathetic innovators, committed to building the world’s most amazing cloud based workforce management and payment platform that makes working from anywhere, anytime possible. If you wake up compelled to innovate and create, we should talk.

POSITION SUMMARY
The Principal Data Scientist at Velocity Global will be responsible for managing all aspects of the data science process within IT as a shared service for internal and external customers. Responsibilities include data curation/management, model construction, evaluation, and implementation, working with stakeholders to determine where data science could best be applied throughout the company to create value, and the creation of data products to drive increased revenue. The ideal candidate will have had at least five years of experience working as a data scientist, preferably in a management capacity. In addition to technical expertise this position will require excellent customer service skills and creativity in the use of data to create insights and drive sales. This full-time position is remote within the United States, Canada, or LATAM.
RESPONSIBILITIES
Create classification and regression models for tasks such as: marketing targeting, customer churn prediction, and supported employee survivorship
Creation of data products for sale to external customers, e.g. job matching between clients and candidates
Advise and Design the data management process to ensure data is well organized for data science application
Perform statistical tests to assist in data analysis
Develop time series modeling for sales forecasting
Work with data engineering to implement models in Airflow and Snowflake
Assist the business in developing use cases for data science and helping to scope and shape modeling asks
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not construed to be an exhaustive list of all job duties performed by the personnel so classified.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required.
Experience and expertise in quantitative field such as mathematics, statistics, computer science, engineering, or physics.
5-10 years working as a Data Scientist, preferably with management experience
Implementation of standard algorithmic techniques such XGBoost, Elastic net regression, dimension reduction (e.g. PCA), deep neural network architectures, ARIMA, clustering (e.g. K-means), and statistical testing methodologies (e.g. chi square)
Knowledge of and experience working with RDBMS and No-SQL databases
High proficiency in SQL and Python
Additional experience with R preferred
Experience with data visualization platforms such as Looker and Tableau
OUR VALUES
Velocity - Exceeding expectations of our customers, colleagues, and ourselves by delivering swift and effective results.
Integrity - Doing right by our customers, colleagues, and ourselves through honest and ethical actions.
Be Bold - Daring to take risks, learn, and grow to benefit our customers, colleagues, and ourselves.
Empowerment - Owning our decisions and being accountable for the impact we have on our customers, colleagues, and ourselves.
Service - Supporting our customers, colleagues, and ourselves with respect and empathy.

We have a passion for all things international business and thrive in a fast-paced, high-growth environment. If you want to work for a professional, global, inclusive, and innovative company, we’d love to meet you!

At Velocity Global, we value inclusion and belonging. We encourage applications from all qualified candidates regardless of age, ancestry, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you have a disability or special need that requires accommodation, please contact us at TalentAcquisition@VelocityGlobal.com

#LI-REMOTE


Senior Research Scientist Algorithms Engineering

This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s).
Want to research and develop improvements to the core algorithms such as recommendations and search that power the Netflix experience that over 193+ million members worldwide see each time they log in? Our Algorithms Engineering team is looking for passionate and talented applied machine learning experts to lead the way by researching and developing the next generation of algorithms used to drive the Netflix experience. This spans central areas of our product including how we approach recommendation systems (e.g. ranking, page generation),  personalization (e.g. evidence, search, messaging, marketing), media assets generation and optimizing Netflix-wide systems & infrastructure.
In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
If you are ready to make a difference at a company that matters, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.
For more details about what we are working on, readthese blog posts.
To learn more about our research work, you can visit our research pagehere.
What we are looking for:
5+ years of research experience with a track record of delivering quality resultsExpertise in machine learning spanning supervised and unsupervised learning methodsExperience in successfully applying machine learning to real-world problemsStrong mathematical skills with knowledge of statistical methodsStrong software development experience in languages such as Scala, Java, Python, C++ or C#Great interpersonal skillsPhD or MS in Computer Science, Statistics, or related field
Preferred, but not required, additional areas of experience:
Experience in Recommendation Systems, Personalization, Search, Computational Advertising, Natural Language Processing or Computer VisionExperience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applicationsExperience in optimization algorithms and numerical computationExperience with Spark, TensorFlow, Keras, and PyTorchExperience with cloud computing platforms and large web-scale distributed systemsOpen source contributions


Sr Data Scientist Data Science And Engineering Experimentation Dse

At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are seeking Sr Data Scientists for a range of teams within Data Science and Engineering. From owning experimentation within the Open Connect network, building sophisticated tools on a world-class experimentation platform to provide seamless quality of experience, driving Growth and Membership of Netflix Platform, to unlocking the power of data in highly creative editorial creative space, evaluating the performance and optimizing personalization algorithms to deliver recommendations or building sophisticated experimentation tools - we have a few areas within which we are seeking Data Scientists driven by curiosity and passionate about working with a range of stakeholders.
As a Data Scientist, you will be partnering with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product decisions are made.
In this role, you will:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunitiesIdentify, compute and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.Present your research and insights to all levels of the company
We are looking for:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field5+ years relevant experience with large scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settingsStrong product knowledge and intuition - ideally utilized in consumer/ or user interface settings or internally serving technical audiences such as engineers.Demonstrated ability to communicate and drive product change across a variety of stakeholders Strong SQL skillsStrong Quantitative Programming skills in Python or RAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.  Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Experience in building real-world machine learning models with demonstrated impactPlus: Experience creating data products and dashboards such as TableauPlus: Experience in building causal inference solutionsPlus: Familiarity with software engineering practice and working with APIs


Data Scientist Analytics

Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
The Opportunity
We are looking for talented Data Scientists with a passion for addressing business needs through data modeling and analysis to join our team. As an individual contributor on this team, you will work with senior members of the team and internal partners from across the organization. This position requires strong problem-solving, analytical and communication skills; experience with multitasking and prioritizing in an ever evolving business/tech environment; and the tenacity to execute against deliverables in a timely, high-quality fashion. Health data experience is a plus.
Accountabilities:

Derive insights from descriptive analysis using multiple datasets including user activity on the Quartet platform, medical claims, pharmacy claims etc.
Apply statistical techniques to model healthcare utilization patterns and evaluate care outcomes
Support a data-informed process for experimenting with new products or operational workflows to improve patient outcomes
Design and implement metrics, run and interpret experiments, draw causal inferences and create visualizations and dashboards

Minimum Qualifications:

Bachelor's degree in a quantitative field.
Professional experience working at a Healthcare or Health Insurance company
3+ years of experience in a technical Data-focused role (Data Scientist, Data Engineer, Data Analyst, BI Analyst, Actuary)
Knowledge of statistics fundamentals.
Experience with SQL.
Programming proficiency in Python or R
Ability to clearly communicate across disciplines and work collaboratively.

Preferred Qualifications:

Experience (professional or otherwise) working with value-based care or healthcare quality measurement
Graduate degree in a quantitative field or Public Health
Experience building software products
Analytics-related experience (building products, working with dashboarding tools, etc.)

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, catered lunches, snacks, team events and outings, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental leave, commuter benefits, 401K, stock option grants, gym benefits.

Want to know what Quartet life is like? Click here to meet our team.

Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.

Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: security@quartethealth.com.

Have someone to refer? Email talent@quartethealth.com to submit their details to us.


Applied Ai Researcher

The Role
We are seeking a highly skilled and motivated Applied AI Researcher specializing in video and audio AI to join our dynamic team. As an Applied AI Researcher, you will play a pivotal role in advancing our cutting-edge technologies in computer vision, natural language processing, and audio analysis. Your expertise will contribute to the development of innovative solutions that leverage machine-learning techniques to solve complex problems in the realm of video and audio analysis and transformations.
Responsibilities

Research and Development: Conduct state-of-the-art research in machine learning, deep learning, and artificial intelligence with a focus on video and audio analysis. Develop novel algorithms, models, and techniques to enhance video understanding, object recognition, activity recognition, speech recognition, audio classification, and other related areas.
Data Analysis: Identify and analyze large-scale video and audio datasets to extract meaningful insights. Apply statistical and machine learning methods to understand patterns, trends, and relationships within the data, driving improvements in video and audio AI systems.
Open-Source Models: Experience in understanding, adapting, and fine-tuning open-source machine learning models for specific tasks.
Model Development: Design, implement, and evaluate machine learning models and architectures for video and audio AI applications. Explore and optimize various neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, to achieve high accuracy and efficiency.
Algorithm Optimization: Optimize and fine-tune video and audio AI algorithms for performance, scalability, and resource efficiency. Collaborate with software engineers to integrate developed models and algorithms into production systems or applications.
Experimentation and Evaluation: Design rigorous experiments and conduct comprehensive evaluations to validate the effectiveness and robustness of video and audio AI models. Analyze experimental results and iterate on models and algorithms to achieve optimal performance.
Collaboration and Communication: Collaborate with cross-functional teams, including researchers, engineers, and product managers, to understand requirements and translate them into actionable research projects. Present research findings, insights, and technical reports to internal stakeholders and external audiences through presentations, papers, or conferences.
Stay Current: Keep up-to-date with the latest advancements in machine learning, computer vision, and audio processing research. Monitor industry trends and emerging technologies to identify opportunities for innovation and improvement within video and audio AI.

What We're Looking For

Masters or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, computer vision, or audio processing.
Proven track record of research experience in machine learning and AI, specifically in video and audio analysis.
Strong programming skills in languages such as Python, MATLAB, or C++, along with experience using deep learning frameworks (e.g., TensorFlow, PyTorch).
In-depth knowledge of machine learning techniques, including CNNs, RNNs, and other deep learning architectures.
Proficiency in video processing, computer vision, and/or audio signal processing.
Experience with large-scale video and audio datasets, data preprocessing, and feature extraction.
Strong analytical and problem-solving skills, with the ability to develop creative and innovative solutions to complex challenges.
Excellent written and verbal communication skills, with the ability to present research findings effectively.
Strong publication record in leading conferences or journals in the field of machine learning, computer vision, or audio processing is a plus.


Data Scientist

FocusKPI is seeking Data Scientists to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S.
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.


Data Science Analyst Platform

Why Mayo Clinic
Mayo Clinic has been ranked the #1 hospital in the nation by U.S. News & World Report, as well as #1 in more specialties than any other care provider. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation andcomprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.Other responsibilities:•Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.•Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.•Executes analytical procedures in the framework of a specific project work request.•Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.•Contributes to the interpretation of data analysis and to writing reports.•Helps customers understand the data set and provide training and suggestions for improvement on the data request.•Leverages communication and interpersonal skills and works with subject matter experts•Presents findings in easy to understand terms for the business or clinical practice.
Qualifications
A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.The preferred candidate will possess a Master’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
Exemption Status
Exempt
Compensation Detail
$95,492 - $133,681 / year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday, Normal Business Hours
100% Remote. This position may work remotely from any location within the US.

Some travel may be required

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position.
Weekend Schedule
Not Applicable
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Affirmative Action and Equal Opportunity Employer
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
Recruiter
Julie Melton
Department Title
Mayo Clinic Platform
Apply Now                    Save


Principal Technical Data Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency. You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity.
You will be reporting to our Head of Experimentation.
What you'll do
Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work.Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science.Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)Lead, coach, and build solutions from within a center of excellence.Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.Contribute into overall Data Science team OKRs.Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisions.Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.
Your background
10+ years of experience with a combination of data science, analytics and data engineering experience.Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes.An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future".Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisionsA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories.Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.


Interconnection Data Scientist

Hanwha Q CELLS USA Corp (“HQC US”) develops, invests, and delivers solar photovoltaic (PV) and battery energy storage systems (BESS) projects through Engineering, Procurement, Construction (EPC) services in North America.

The company brings a decade of global leadership in solar PV to deliver utility-scale power generation plants customized for local and regional energy markets. HQC US offers the full spectrum of PV solutions – from the core technology of cells and modules to large-scale project development and investment. With proven capabilities across the solar and battery storage value chain, HQC US minimizes uncertainty and risk and helps customers achieve a higher return on their investment in renewable energy.

Qcells is looking for an experienced data scientist with experience in energy forecasting. This position will lead thedevelopment oflong-termenergy time series probabilistic forecasting tool to facilitate our long-term utility scaled renewable revenue forecast in different markets. As anInterconnection Data Scientist, you would haveopportunities to collaborate with subcontractors and other data scientist to refine the forecast methodology and integration with other internal tools.

We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic with excellent problem-solving skills are equally important as being a team player who enjoys to learn and teach.

This position reports to the Transmission Planning Manager or Vice President of Interconnection. This position may be expected to travel up to 20%.

Essential Job Functions & Responsibilities

Lead thedevelopmentofour time seriesprobabilisticforecastingalgorithms.
Work tocontinuouslyimprovemodelperformance and debugwherenecessary.
Benchmarking forecastperformanceacrossvariousloadand renewableprofiles,fuelprices, and policyscenarios.
CollaboratewithotherteamswithinQcells and external consultanttoassesshowforecastscanbeadjustedforvariouseconomicobjectives.
Integrating the forecasting tool into our other forecasting models/tools and dispatch optimization tools to create a robust number for Project Finance department.
Proactively identify opportunities within Qcells that can benefit from data science analysis and present those findings.
Write SQL API code to get historical data from ISO/RTO for benchmarking purpose, including congestion, demand, LMP, import/export, generation, and outages.
Gather other public or private (subscription) forecast data to provide insights.
Provide subject-expertise to review external consultant work for other energy related forecast.

Required Qualifications

A degree in Electricalengineering and/orMaster’spreferred.
3+ yearsofindustryexperiencedeveloping, supporting, and deployingforecastingmodelsforenergyapplications.
Expertisein Data Science language such as Python, Matlab and R.
Database skill in SQL.
Experience with Python libraries for numerical methods and timeseries data.
Strong background in linear algebra and statistics.
Experience communicating / working with utilities, consulting firms, and ISO/RTOs
Machine Learning related experience is desired.
Experience in energy / utility or related markets is desirable but not necessary.
Willingness to travel, up to 20% of the time.

The above-listed salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. The salary range shared in the job description is for the listed position and only pertains to the candidate if they work in Irvine, CA. Actual compensation is influenced by a wide array of factors including but not limited to internal pay equity, skill set, education, licenses and certifications, geographic location, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications. An additional discretionary bonus structure or incentives may be offered as part of the overall compensation package, in addition to the full range of medical, dental, and/or other benefits, dependent on the level and position offered.

PHYSICAL DEMANDS

·  Stationary Position: frequently remains stationary up to 90% of the time and sitting up to 8 hours in a day

·  Move/Traverse: infrequently bend, stand, stoop and/or walk

·  Carry Weight: infrequently carry weight and/or lift objects (light to heavy) weighing up to 10 pounds

·  Hearing and Speech: frequently communicates with the ability to hear and talk on a regular basis with employees, coworkers, and all personnel matters; must be able to exchange accurate information in these situations

·  Sight: frequent use of sight to detect images on computer, office documents, and office objects near and far

·  Climb: occasionally ascends/descends on stairway to get to office upper and lower floors

·  Travel: review above travel requirement for this position

WORK ENVIRONMENT

·  Regular professional, office business setting

·  Noise level ranges from low to moderate (if in office setting)

·  Noise level ranges from moderate to high (if on construction worksite)

Hanwha Q Cells is proud to be an at-will Equal Opportunity Employer and prohibits discrimination against race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, pregnancy, citizenship, disability, protected veteran status and any other classification protected by applicable federal, state or local law.  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.

We are committed to the full inclusion of all qualified individuals.  As part of this commitment, Hanwha Q Cells will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment.  Please contact us to request accommodations at hr-usa@qcells.com.

Nothing in this statement shall imply implicitly or explicitly a guarantee of employment outside our at-will employment opportunity.

You may view your privacy rights by reviewing Qcells’ Privacy Policy here or contacting our HR Team for a copy.


Staff Applied Scientist I Core Fulfillment

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
The Core Fulfillment group at Etsy creates the most fulfilling fulfillment experience by enabling transparency and trust for our buyers while highlighting the human side of our sellers and their unique items. Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
This is a full-time position reporting to the Engineering Manager and the base salary range will be 196,000.00 - 230,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
What does the day-to-day look like?
In this role you will:
Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences
Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality
Work closely with software engineers, product managers, and designers
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
An M.S. or Ph.D. degree in Operations Research, Computer Science, Statistics or related engineering fields and 4 years of experience, or 7+ years of practical experience
Experience in building production ML systems
Successful track record of applying operations research and/or machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Senior Applied Scientist I Core Fulfillment

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
The Core Fulfillment group at Etsy creates the most fulfilling fulfillment experience by enabling transparency and trust for our buyers while highlighting the human side of our sellers and their unique items. Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
This is a full-time position reporting to the Senior Engineering Manager and the base salary range will be 164,000.00 - 192,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety
policies here.
What’s this team like at Etsy?
Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
What does the day-to-day look like?
Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences
Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality
Work closely with software engineers, product managers, and designers
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
An M.S. or Ph.D. degree in Operations Research, Computer Science, Statistics or related engineering fields or 3+ years of practical experience
Experience in building production ML systems
Successful track record of applying operations research and/or machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Senior Data Scientist

Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
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