Health Data Scientist

Health Data Scientist
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public healthcare. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, apply machine learning, help scale machine learning applications to new clients and challenges, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our federal government clients make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public healthcare. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
4+ years of experience with data science, data analytics, or research engineering or analyticsExperience with healthcare or clinical data modeling for advanced analytics, machine learning, or predictive analyticsExperience with scripting languages, including Python and RExperience with machine learning packages, including Keras, Pandas, TensorFlow, or NumPyAbility to obtain a security clearanceMaster's degree
Nice If You Have:
Experience with creating data infrastructure models and implementing them in client systemsExperience with data analysis for health-related organizations, including FDA, NIH, and commercialExperience with managing disparate data sources, including preprocessing, cleansing, and verifying data integrityExperience with performing data exploration and analysis to support analytics objectivesExperience with data visualization tools or technologies, including Tableau, Qlik or RShinyAbility to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situationsAbility to work independently to achieve results with minimal guidance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
The proposed salary range for this position in Colorado is $95,000 to $125,000. Final salary will be determined based on various factors.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.
#LI-Remote


Data Scientist Lead

Data Scientist, Lead
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a Data Scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve strategic innovation for the federal government. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal health organizations make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the federal government. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
8+ years of experience with designing, developing, and leading analytics or software development projects, including in a technical strategy or project management roleExperience with program management in the ICExperience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics servicesKnowledge of advanced analytics, artificial intelligence or machine learning initiatives within the IC and DoDAbility to manage programs with competing prioritiesTS/SCI clearance with a polygraphBA or BS degree
Nice If You Have:
Experience with managing national intelligence programsExperience with the application of data science and machine learning algorithms, including structured, unstructured, or relational and data mining and machine learning techniquesExperience with developing and implementing successful market strategy and business development and leading proposal, project, and intellectual capital creationExperience with developing analytics for geospatial and commercial imagery dataExperience with deep learning frameworks, including Theano, Torch, Caffe, or AWS RekognitionExperience with Natural Language Processing toolkits, including Stanford NLP or OpenNLPAbility to be well-versed in modern software development techniques, methods, and technologiesMA or MS degree in Computer Science, Mathematics, or Physics preferred; PhD degree in Computer Science, Mathematics, or Physics a plus
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation:
The proposed salary range for this position in Colorado is $130,000 to $180,000. Final salary will be determined based on various factors.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
·        access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
·        change the world with the Data Science Bowl—the world’s premier data science for social good competition
·        participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.


Data Scientist Intern

You will aspire to our four core values:

Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.

Mindful - you seek to be respectful, an active listener and to pay attention to detail.

Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.

High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.

What you’ll do:
As a Data Scientist Intern, you work on meeting Circle’s goal of becoming the premier platform for tokenizing, investing in and trading of crypto assets. As a part of your job you will design and implement machine learning algorithms that significantly impact results and decision making for risk, compliance, marketing and trading functions at Circle.
What you’ll work on:

Evangelize the power of analytics to improve our business and operations
Create text-based classification algorithms to help improve customer experience across a range of products offered by Circle.
Create machine-learned predictive models that guide our fraud prevention and compliance
Become an expert on data sources and flows at Circle, including Bitcoin blockchain analysis
Collaborate with Engineering and Tech Ops teams to optimize and simplify the deployment and upgrade process for the models your team builds
Identify actionable insights and provide recommendations to cross functional groups

What you'll bring to Circle (Not all required):

Currently pursuing MS or PhD with dissertation in a topic related to data science such as machine learning, linear models and so on
Strong communication skills, able to collaborate with remote teams,  explain insights/models in an understandable way to non-experts, in both formal presentation and informal group conversations
Some experience or coursework applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning is strongly encouraged
Knowledge of SQL and expertise with at least one scripting language (e.g. Python)
Ability to understand business problems and break down into structured analytics projects
Self-starter with a curious mindset, enjoy moving at a fast pace, constantly improving your work with little supervision


Staff Lead Data Scientist

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Research Scientist Applied Ml

About Opendoor:
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.  So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

About the Role: As a Senior Research Scientist, you will demonstrate data breakthroughs for Opendoor. You will create and develop a diverse portfolio of proofs of concept, balancing project risk versus potential impact. You have a portfolio mindset, minimizing risk by exploring a variety of uncorrelated projects, rigorously prioritizing projects given the uncertainty, and working inside fast feedback loops. Projects can range from step-function algorithmic improvements due to integrating new data sources to partial- or fully algorithmic automation of human processes, driving leveraged operational efficiencies.

Our Team:
Pricing Prediction - Responsible for all the core pricing prediction models, but in particular OVM (which predicts the value of a specific home right now) and HPA (which predicts the value of homes over time). If algorithmic pricing is the heart of Opendoor, this is the heart of algorithmic pricing. You can learn more about OVM, the Opendoor Valuation Model, on our blog.

As a Research Scientist, you will:

Build and evolve models that drive massive customer impact
Identify opportunities at all stages of the modeling lifecycle, including new models, new data sources, enhancements to models, and rapid feedback loops
Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
Produce convincing structural and data-driven analyses to falsify ideas or move them forward
Clearly and concisely articulate the business impact of your work
Work pragmatically at a high cadence to ship modeling opportunities, such that we generate high learning throughput

We’re looking for teammates who have:

Ability to work with production ML/DL systems, including landing and reviewing production code
Knowledge of recent advancements in deep learning, both theoretical and applied
Mastery of coding and testing in Python or another object-oriented language
Ability to quickly (1-2 weeks) build proofs of concept and identify the highest-leverage areas to iterate efficiently
Experience building and deploying production models using deep learning frameworks such as Pytorch or Tensorflow (we use Pytorch + Lightning)Strong knowledge of statistics and machine learning
Highly effective verbal and written communication skills

Bonus points:

4+ years of ML/DS and generalist engineering experience over a diversity of products
A risk-aware, investor’s mindset (seeking out and placing bets on a portfolio of projects)
Experience working with temporal holdout sets in machine learning or statistical models (e.g. time series forecasts)
A public portfolio of full-stack data products, demos, or blog posts

More About Us:

Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.

We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 70% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.

Opendoor Values Openness:

Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.


Data Scientist

About Us:At Sensyne Health we combine technology and ethically sourced patient data to help people everywhere get better care. To do this, we have created a unique partnership with the NHS that delivers a return to our partner Trusts and unlocks the value of clinical data for research while safeguarding patient privacy. Alongside this, we develop clinically validated software applications that create clinician and patient benefit while providing highly curated data. Our products include vital-signs monitoring in hospitals and patient-to-clinician apps to support self-care and remote monitoring of gestational diabetes and chronic diseases such as COPD and heart failure.We use our proprietary clinical AI technology to analyse ethically sourced, clinically curated, anonymised patient data to solve serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development, and post-marketing surveillance.The Team:We are an agile team of clinically led data science and machine learning specialists who use AI technology to analyse ethically sourced, clinically curated, anonymised patient data. Our work aims at solving serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development and post-marketing surveillance. The nature of our team is collaborative with an emphasis on genuine passion for healthcare.As a central member of a dynamic, multi-disciplinary team of scientists passionate about transforming patient care by data-driven machine learning, you will bring your deep understanding of medical data science to perform key research, data analysis, insight gathering and decsion making from anonymised real-world patient data. Your work with experts in artificial intelligence, deep learning, informatics, statistics, drug discovery and clinical translation/commercialisation will enable us to discover robust clinical insight that will ultimately make a difference to the lives of patients and healthcare worldwide.How you'll help: Perform robust analyses of anonymised real-world patient data and communicate results with sophisticated visualisation methods  Assist with the publication of scientific papers and case studies Support clinical projects to guide care management and create analytical solutions to address questions of interest to our pharma stakeholders Create and implement statistical & machine learning algorithms, assessing their effectiveness through solid validation workflows Responsibilities: Advanced degree in data or computer science, medical statistics, mathematics or similar Proficiency in data-focused programming and scripting languages (Python, SQL) Expertise with the analysis of clinical, medical or biological data Knowledge of data science, statistics and machine learning Ability to work independently and effectively in a fast-paced, team-based environment; ability to prioritise tasks and meet multiple deadlines on concurrent projects Advanced coding and software development skills are highly desirable Excellent verbal and written communication and presentation skills; excellent organisational skills; and excellent interpersonal skills to work effectively in a diverse team  5% employer matched salary sacrifice Pension scheme Life Assurance & Income protection A range of health, wealth and lifestyle benefit plans including BUPA, Gym and holiday trade options Electric Vehicles & Cycle to work schemes Proactive career development planning


Associate Data Scientist Carbon

We are an international AgTech startup pioneering an ambitious mission in a high-growth industry where agriculture meets technology to solve our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced partner ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer.
The Carbon Data Science team explores and interprets data from the frontiers of carbon sequestration and quantification technologies. We are looking for a data scientist who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program.
Responsibilities:
Reporting & Quality Assurance:

Provide a centralized overview of data available for exploring and evaluating new technologies, including both internal experiments and literature review

Define automated data quality tests, which can be implemented by a software engineering or field data team

Model Integration:

Translate diverse data streams into standardized inputs for running a range of models

Collaborate with other data scientists and subject matter experts to build, train, and test models related to sequestration

Analysis & Exploration:

Develop frameworks to evaluate new sequestration and measurement technologies

In collaboration with other data scientists, explore and analyze data from tech pilots, internal experiments, data sharing agreements, etc.

Quantify the potential benefits of new technologies and contribute to recommendations

Competencies:

Collaborate on data exploration and reporting with teammates using a version control system, working in SQL and Python

Understand and manipulate data to create useful visualizations with actionable insights for internal and external consumption. Make creative and aesthetically appealing visuals that tell a story to enable clear and impactful action

Collaborate well cross-functionally in a professional and effective manner. Balance and prioritize competing demands to create the highest overall value

Translate functional requirements into easy-to-use, flexible reporting solutions and dashboards

Quantify the statistical significance of simple experimental trials

Articulate complex ideas and concepts into understandable insights that enable decisions for specific audiences

Refine broad or ambiguous goals into clear questions and actions

Demonstrate outstanding problem-solving skills

Actively seek answers to questions as a self-starter

Qualifications:

BS or higher in a technical field, such as Physics, Agronomy, or Statistics (preferred) and/or relevant industry experience

Technical Requirements:

Proficiency with Python, R, or another programming language

Proficiency with visualization frameworks

Proficiency with SQL (any dialect)

Experience with version control (preferred)

Experience with geospatial analysis (preferred)

Experience with data modeling and warehouse architecture

Experience working cross-functionally:

Experience working with agile software development teams (preferred)

Ability to work with diverse stakeholders to translate ambiguity into clear project requirements

Experience working in a fast-paced, growth environment

Benefits:

Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan

Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.


Data Scientist Ii Marketing Science Specialist

ABOUT THE JOB
The ACLU Analytics team is seeking to fill a full-time role for a Data Scientist II - Marketing Science Specialist at the ACLU’s National office in New York, NY/ Remote*.
Reporting to the Director of Engagement Analytics, the Data Scientist II - Marketing Science Specialist role provides a unique opportunity to work on interesting and challenging problems by focusing on the use of innovative advanced analytics to transform the way the ACLU approaches fundraising, marketing, digital communications and supporter engagement.
The ACLU Analytics team works cross-functionally to make smart, evidence-based choices and bring quantitative insights on our issues to the courtroom and the public. Our team's work is diverse and ranges from social science research for litigation & advocacy, analysis & reporting for fundraising and engagement, building and maintaining our data infrastructure - and much more.
You will thrive in this role if you are able to effectively use the data science toolset inclusive of descriptive analysis, statistical methods, and predictive analysis in service of real-world business objectives, have experience with mass marketing practices and data, are service-oriented and collaborative and have a curiosity and willingness to explore.
We read all cover letters and would love to hear why you would like to work at the ACLU, what aspects of our mission you are passionate about, and what you will bring to this role!
*Note: this position can function remotely from a U.S. location
RESPONSIBILITIES
As a member of the Engagement Analytics team, you’ll be joining a group of synergetic, agile and supportive colleagues working across a variety of stakeholder groups. Below is a sampling of projects you can expect to dive into:

Enhancing advanced multi-touch attribution modelling and/or media mix modelling along with optimization tools to ensure our online and offline channel investments are made strategically
Using NLP to detect/confirm the issues covered in our emails, actions and news pages and applying this to improve segmentation and engagement with our community
Acting as a strategic thought partner to ensure bold, effective, A/B/n testing is applied – as well as mentoring analysts who support these programs day-to-day
Building a variety of propensity models (eg 1x to monthly, upgrade/downgrade, etc) that can be deployed into production systems, aligned with fundraising activities, tested and optimized
Improving and enhancing team data science and engineering practices with documentation, mentorship and peer review
Engage in special projects and other duties as assigned
Center principles of equity, inclusion, and belonging in all work, embedding the values in program development, policy application, and organizational practices and processes
Commitment to the mission of the ACLU
Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance
Commitment to work collaboratively and respectfully toward resolving obstacles and/or conflicts

EXPERIENCE & QUALIFICATIONS

Skill applying data science and advanced analytic tools in a fundraising, marketing, or web/social/digital setting
Strong fluency in Python or R, and ability to review, understand, and critique code in both languages
High familiarity of the data science toolset inclusive of descriptive analysis, statistical methods, and predictive analysis in service of real-world business objectives
Knowledge of testing methodologies and building/supporting large-scale experimentation
Skilled in putting models into production or analysis (and turning insights into actions) for long-term usage including writing back to source systems and supporting ELT pipeline development
A strong foundation in relational databases and database query languages (e.g. SQL)
Excellent communication skills; ability to synthesize quantitative results for a wide range of non-technical stakeholders across various functions and levels of an organization
Strong data visualization skills

NICE TO HAVES / AREAS YOU WILL GROW IN

Experience acting as a technical mentor or guide to junior colleagues / interns (e.g. acting as primary code reviewer in a team setting)
Knowledge of complex statistical methodologies/tools beyond data science essentials (e.g causal inference techniques, geographic-based experiments, bayesian inference and associated tooling, multi-touch attribution -- eg. markov chains, LSTM, etc -- and/or market mix modelling -- eg. hierarchical bayesian time series.) is a plus
Knowledge of CRM technologies such as Salesforce
Knowledge of web analytics tools (e.g., Heap, Mixpanel)
Knowledge of web testing tools (e.g., Optimizely, Site24x7)

COMPENSATION
The annual salary for this position is $115,638 (Level F). This salary is reflective of a position based in New York, NY. This salary will be subject to a locality adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Note that most of the salaries listed on our job postings reflect New York, NY salaries, where our National offices are headquartered.
ABOUT THE ACLU
The ACLU dares to create a more perfect union – beyond one person, party, or side. Our mission is to realize this promise of the United States Constitution for all and expand the reach of its guarantees.
For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach.
Equity, diversity, and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.
The ACLU is an equal opportunity employer. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law. Black people, Indigenous people, people of color; lesbian, gay, bisexual, transgender, queer, and intersex people; women; people with disabilities, protected veterans, and formerly incarcerated individuals are all strongly encouraged to apply.
The ACLU makes every effort to assure that its recruitment and employment provide all qualified persons, including persons with disabilities, with full opportunities for employment in all positions.
The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.
The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program.


Senior Manager Data Science Analytics

Wayfair Analytics is the engine that powers an enterprise obsessed with data, where Data Science plays an ever-increasing role in how we serve our customers. This role will directly enable the growth of the Product Information Extraction (PIE) project at Wayfair. The team is responsible for programmatically extracting, imputing and validating product information to streamline the addition of new products into the catalog. Our objective is to improve both the end customer experience and Wayfair’s internal efficiency by ensuring product investment throughout the value chain. The team heavily leverages Data Science and Machine Learning, as well as Analytics, to achieve these goals.
The Data Science Analytics team leverages Wayfair’s huge datasets to inform the roadmap of our Data Science / Machine Learning development. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists and product managers who are on the leading edge of Data Science.
In this role, you can expect to lead a team to integrate our Data Science-driven recommendations into new use cases within Wayfair, working closely with business stakeholders and product managers to drive measurable outcomes. You / your team will work closely with product managers, data scientists and engineers to define, implement, and maintain key metrics that inform the health / successes of our product. You / your team will do exploratory data analysis to generate new insights & inform our roadmap.
What You'll Do
You will be responsible for managing a team of data analysts that are embedded in our data science workstreams. Set a high bar and level up the team's technical capabilities and business awareness
Influence cross-functional executive leaders across the organization through communicating key insights and recommendations. You will have to persuade stakeholders with differing levels of analytical proficiency
Define the 6-12 month strategic analytics roadmap for the team, in collaboration with our stakeholders
Build and innovate scalable processes for model performance monitoring and related components like data quality and data engineering. Also responsible for metrics definition, reporting and translating into business KPI impact
Cooperate closely with Data Scientists, Engineers and business stakeholders, contributing to the cross-functional partnership, strategy and roadmap
Further build the team and an inclusive working environment by creating and developing the team vision, strategy and OKRs
Partner closely with tech enablement teams in Infrastructure and Data Engineering, and influence their roadmap based on the needs of the data science team
Uncover and understand insights hidden in our vast repository of raw data, provide and share tactical guidance on how to act on findings
Set a high bar and level up the team's technical capabilities and business strategic thinking
Deliver presentations with compelling visualization and storytelling to business stakeholders, to support data-driven decision making and ultimately enhance the experience of our customers and our suppliers
What You'll Need
5+ years of work experience in a data analytical role wrangling with large-scale data
Demonstrated ability to build, develop and manage high performing team to deliver business impact with track record, particularly in a cross-functional and multi-stakeholder environments
Strong quantitative skills, knowledge and experience with various analytical methods including statistics and experimentation.
Strong communication skills – ability to synthesize conclusions for non-experts and desire to influence business direction
Experience in aligning quantitative and technical work closely with business priorities and business value
Mastery of writing SQL queries;  experience with programming (Python/R), big data frameworks and cloud-based analytics tools (preferably GCP)
Prior hands on experience of building tools, reporting and analytics for performance evaluation of machine learning models
Strive in a dynamic, fast paced environment;
About Us
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are sure that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and a dynamic working environment, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


Senior Manager Data Science

Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods.
Wayfair Professional’s (B2B) mission is to help businesses make good spaces great. We leverage Wayfair’s platform to serve professional customers in many industries, including Interior Design, Commercial Office, Contractor, Property Management, Accommodations, Foodservice and Education, with cross-functional teams focused on improving the customer experience in each target vertical.
This leader will own the development of algorithmic decision support systems that power abroad spectrum of decisions across multiple customer touchpoints to better serve the needs of the business customer segment (Wayfair Professional), a key strategic priority for Wayfair LLC.
The team leader owns the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups that govern the B2B customer experience. This is an ideal opportunity for a leader who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact to Wayfair’s business customers’ end-to-end experience through advanced data science and machine learning techniques.
Above all, you’ll get to work on problems that are both intellectually-challenging and drive real, measurable impact, first and foremost, for our customers - and as a result for Wayfair at large. To get a better sense of the type of projects we work on, check out our Data Science & Machine Learning blog posts here!
What You'll Do
Lead a team that applies state of the art data science and machine learning techniques to transform how we interact with current and prospective business customers
Drive significant business growth and impact by collaborating with Marketing, Sales, Storefront, Profit Management, Product, and Engineering teams to scope, develop, and deploy holistic data science solutions to power end-to-end B2B customer experience and drive significant business growth and impact
Manage a broad portfolio of existing initiatives and evolve them to be scalable, platform-oriented data science products. These include, but are not limited to, models and frameworks for contact personalization, customer targeting across touchpoints, tailored experience for large project shoppers, and intelligent sales discount recommendation system.
Lead the design and development of intelligent products that leverage a wide variety of data sources - e.g. 1st- and 3rd-party data on customer behavior, order history, firmographic information, sales call recordings and transcripts, etc. - to improve customer targeting and agent productivity
What You'll Need
Master’s degree in Computer Science, Engineering, or related quantitative fields; PhD preferred
4+ years of experience leading multi-disciplinary technical teams comprised of data scientists and engineers of varied levels of experience
Thorough command of general data science and machine learning techniques
Relevant experience designing and implementing customer-facing systems that are scalable, fast, and resilient
Track record of delivering large cross-functional projects and managing multiple stakeholders with competing priorities
Good understanding of experimental techniques for the design of A/B tests to measure the impact
Communication skills that can influence across organizations and at all levels
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


Principal Data Scientist Marketing Algorithms

Principal Data Scientist - Marketing Algorithms
This is a senior IC leadership position for someone with 10+ years of prior industry experience in a research role designing algorithms to support bid optimization, ad creative optimization, content creation, and targeted ad delivery. As a Principal Scientist within our Data Science and Machine Learning group, you will drive our biggest challenges, turning business asks and creative ideas that do not have an obvious blueprint into scalable modelling solutions that run in real-time. This is an individual-contributor role focused on research and implementation of novel approaches and techniques that cut across our entire stack: from ad buying, bidding, & pricing optimization to attribution measurement and experimentation, you will touch the experience of all of our customers across all of our sites, apps, and marketing channels. You will get an opportunity to work with one of the largest e-commerce datasets out there, come up with innovative algorithms and solutions, and work with a growing team of ~150 to test these solutions in live experiments, and implement them as scalable production systems.
What you will do
Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine (and deep) learning techniques to support bidding optimization, ad creative optimization & content creation, and targeted ad delivery.
Setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
Keep abreast of relevant research in online ad auction design, computational advertising, computational economics, search and information retrieval, online advertising (sponsored search), and privacy protection.
Maintain expert knowledge in computer science, machine (and deep) learning, data mining, natural language processing, reinforcement learning, machine perception algorithms, large-scale optimization techniques and more.
Engage in broader strategy and execution discussions in the Data Science Organization, providing input from your program experiences to enhance our priorities across the board.
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies.
Actively contribute to the wider data science and machine-learning community by sharing and publishing your findings, both within Wayfair and through collaborations with research programs at partner universities and technical institutes.
What you bring
10+ years of experience in research & development, with substantial time spent both in an academic setting and within industry or a research-lab type of environment.
History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact and/or publications.
Previous expertise in computational advertising, bid optimization, machine (and deep) learning, natural language processing, & machine perception algorithms required.
You are hands on and comfortable coding on an industry-standard machine-learning stack (Hadoop/Bigquery, Spark, Python, Jupyter).
You love seeing your work through to customer impact!
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


Data Science Tech Lead Catalog

Who We Are
Wayfair’s Data Science team builds the algorithmic systems that drive our business, enhance customer experience, & improve customer loyalty. The Data Science Catalog team at Wayfair develops machine learning models to: (1) improve customer experience by accurately tagging products using multimodal data sources (image, text, categorical, numeric, etc.), (2) drive catalog and pricing strategy by powering comparisons between large numbers of products, and (3) solve the product cold-start problem to enable customers to find the best new products.
We partner closely with our Merchandising, Engineering, and other Data Science teams in order to build scalable algorithmic systems responsible for predictive modeling that drives business strategy for various merchandising and supplier side teams.
We are looking for a technical lead to join the Data Science Catalog team, with an emphasis solving ambiguous machine learning problems to better identify the best new SKUs in Wayfair’s marketplace. You will be working together with other data scientists, as well as multiple merch and engineering teams to solve one of our most impactful and intellectually challenging data science problems at Wayfair.
What You'll Do
Develop quantitative models using multiple types of data (image, text, categorical and numeric data), leveraging machine learning and advanced data analysis techniques
Architect and build technical platforms for our algorithmic engines to run at scale
Leverage our work in order to increase adoption across our business partners, to drive real business value
Work with partner engineering teams to build real-time models & services for company-wide consumption
Uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data
What You'll Need
4+ years of experience in a quantitative or technical work environment or advanced degree (PhD) in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
Experience with GCP, Airflow, and containerization (Docker) are nice to have
A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


Data Scientist Lead Computer Vision Remote Work Available

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.
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 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 I Retail Bank Remote Work Available

Purpose of Job
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.
As a data scientist supporting Retail Banking, you will be partnering with product managers, IT, and other data scientists to build and deliver advanced analytical solutions for Credit Card, Consumer Lending, Deposits and Payments. In this role, you will build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The incumbent will be expected to share and apply their knowledge of current state-of-the-art methods, technologies, and applications across data science fields, including statistics, programming languages, unsupervised learning, etc. This position will leverage interpersonal skills to translate the complexity of work into tangible business recommendations.
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:
Strong Python, SQL skills.Relevant banking domain knowledge in Retail Banking, Real Estate, Omni, Fraud & Central Ops is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
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


Senior Data Scientist

Senior Data Scientist
United States
ActiveCampaign's category-defining Customer Experience Automation Platform (CXA) helps over 150,000 businesses in 170 countries meaningfully engage with their customers. The platform gives businesses of all sizes access to 500+ pre-built automations that combine email marketing, marketing automation and CRM for powerful segmentation and personalization across social, email, messaging, chat and text. Over 100,000 of ActiveCampaign's customers use its 850+ integrations including Microsoft, Shopify, Square, Facebook, and Salesforce. ActiveCampaign scores higher in customer satisfaction than any other solution in Marketing Automation, CRM, and E-Commerce Personalization onG2.com and is the Top Rated Email Marketing Software on TrustRadius. Pricing starts at just $9/month. Start a free trial at ActiveCampaign.com.
As a global multicultural company, we are proud of our inclusive culture which embraces diverse voices, backgrounds, and perspectives. We don’t just celebrate our differences, we believe our diversity is what empowers our innovation and success. If this matches your goals and interests, we hope you consider joining our team!
As one of the fastest-growing SaaS companies, we are scaling rapidly to keep up with market demand. We are growing all of our teams and looking for people who share our values, deliver innovation frequently, and join us in our mission to grow our customer base from 150,000 today to millions.
We are currently seeking a creative Senior Data Scientist to join our Data Science product team. The Senior Data Scientist will leverage value from terabytes of platform data including user-UI interactions, email and marketing content, email enrichment tags, etc.
Past data science products have included predicting deal closures, email send schedules, and suggesting best email. We have also worked on optimizing our platform’s marketing automations and much more.
What your day could consist of:
Interviewing business teams and brainstorming appropriate (accuracy & effort) data science solutionsCollating existing and new hypothesized data sets for proof of conceptsStatistically exploring data with underlying business processes in mindPrototyping data science/machine learning models, then polishing laterBuilding data science products from proof-of-concept to productionCreating solid quant metrics of impact, making them visually accessibleLetting creative ideas rule the day. Don't settle for the first solution, research and dig to the coreOngoing support of in-production models (change in process, abnormalities, outliers etc.)Presenting data as a storyPromoting data science products company-wide
What is needed:
Extensive and proven experience delivering sound analytical insight with statistics and machine learning (business or science)Ability to explore and prototype independently in Python (preference) or any other (e.g. R, Mathematica, Matlab) yet moving to PythonExcellent SQL skillsExcellent communication and business analysis skills. We improve business processes, understanding them fully (including underlying data) is the keyA desire to be part of a small team where hierarchy is discouraged, everyone's input matters, your work has a high impact, and everyone is working togetherInformation sponge, you live data and relationshipsResearch scientific papers/business solutions from cross-functional fieldsRe-use as much as possible
Perks and benefits:
ActiveCampaign is an employee-first culture. We take care of our employees at work and outside of work. You can seemore of the details here, but some of our most popular benefits include our comprehensive health and wellness benefits (including no premiums for employees on our HSA plan, tele-health and tele-mental health, and access to the Calm app for meditation), open paid time off, generous 401(k) matching with no vesting, a generous stipend to outfit your remote office, and a focus on career growth including access to personal and professional coaching. We take a proactive approach to diversity and inclusion and offer parental leave, career pathing, and support employees’ ongoing learning and development through Udemy and access to life coaches via Modern Health. We also offer cool swag.
ActiveCampaign is an equal opportunity employer. We recruit, hire, pay, grow and promote no matter of gender, race, color, sexual orientation, religion, age, protected veteran status, physical and mental abilities, or any other identities protected by law.
Our Employee Resource Groups (ERGs) strive to foster a diverse inclusive environment by supporting each other, building a strong sense of belonging, and creating opportunities for mentorship and professional growth for their members.
Our core values:
Start with trust
Make the customer a hero
Cultivate inclusion & diversity
Iterate everything, always
Create WOW
Pursue growth with gratitude
Visit here to learn about perks and benefits at ActiveCampaign and see our values in action.
#BI-Remote


Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.
The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders
What It Takes to Succeed:
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development
It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
CCPA Privacy Notice
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Senior Data Scientist North America

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Senior Data Scientist - United States or Canada

Duration: Permanent
Location: United States or Canada
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:

We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions.
Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search.
This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.

Your Next Challenge:

Build industry-leading algorithms for search, personalization, and recommendations, using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Guide and mentor other data scientists and data analysts in formulating and implementing our technical roadmap
Contribute to development our technical ranking strategy alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms and models in the production process

What You’ll Need:

Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 3 years validated experience
Proven expertise providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred

Mental and Physical Demands:

Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.