Data Scientist Phd

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  PhD Degree in Statistics, or related field 4+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.  Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions utilizing cutting-edge techniques and tools. Effectively communicate the analytics approach and how it will address the strategic objectives to our business partners. Advocate and educate for the value of data-driven decision making; focus on the “how " and & quot; why” of solutioning Lead analytical approaches - integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate and learn with a growing team of experienced Data Scientists. Stay connected with the broader Data Science community through conferences and external engagements.  Master’s Degree in Data Science, Computer Science, or related field 3+ years of Data Science and Machine Learning experience required Proficiency in SAS programming language is a must. Python & R is a value addition. Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement Machine Learning best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.)  Advance SAS Certification is preferred Experience in moving SAS codes to production (using SAS workflow manager, TWS) is preferred Experience with data visualization tools — Tableau, Power BI, etc. a plus Exceptional communication, collaboration, and time management skills and the ability to understand stakeholder needs and deliver solutions This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Data Scientist Machine Learning Computer Vision

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.Are you excited about solving real-world computer vision problems that involve millions of smart cameras from mobile devices? Are you interested in developing and advancing state-of-the-art computer vision and deep learning algorithms? This team is responsible for building large scale machine learning models for 2D/3D scene understanding, object detection, and activity recognition (e.g. delivery detection).Key Responsibilities: Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration into production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems.  Lead research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics.  Work with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.  Use data science and machine learning methods to bootstrap new functionalities. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements.  Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline; PhD degree or equivalent industry experience is preferred. 4+ years of Data Science and Machine Learning experience required. Strong programming and software development skills, and familiarity with Python, and deep learning frameworks (Keras, Tensorflow, PyTorch, Caffe).  Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired.   Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Experience with AWS is a plus. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. Experience in signal processing, video encoding and analysis, and/or deep learning isalso beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is a plus. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Data Scientist Us

The Within3 data science department has an opportunity for a senior level data science/AI software engineer. We have an expansive natural language processing project where we are summarizing the most common ideas expressed in datasets of captured text. This position will own unsupervised text clustering projects, including the underlying k-means clustering methodology, automating the identification of the optimal number of clusters inherent to a dataset, and performing such text clustering on text data We build our data science software primarily in Python, but may move to C or C++ as needed.  We do not use R.  All code must be written robustly and efficiently with good object oriented programming skills, not quick-and-dirty throwaway scripts, and pass code reviews.  Writing efficient queries to databases, mostly Cypher/Neo4j and possibly SQL, will also be necessary. Strong communication skills, both verbal and written, are stressed on our team so that we can efficiently build our products and learn from each other in a professionally supportive business environment.Responsibilities: Research and develop the latest data science methodologies into proprietary software Develop and apply proprietary modeling software to build models with a multilayer perceptron, convolutional neural network, recurrent neural network, unsupervised training, language processing, and/or Word2Vec embeddings. Build and maintain graph databases that support customer applications Natural language processing Write and maintain excellent documentation of all work.  Python development, object-oriented programming, and packaging Machine learning design, especially with TensorFlow Natural language processing Database skills, especially Cypher/Neo4j Linux/Unix Basic Software DevOps (Git, GitHub, version control, test harness development) Basic AWS - Familiarity with the AWS Management console and managing data in S3 buckets) Docker - All development is required to be done with Docker to maintain a consistent development environments Ability to formulate creative, original, scientific solutions Strong requisite math and statistics education: Vector calculus, linear algebra, probability theory, statistical modeling Strong technical writing skills will be heavily stressed 5 years of experience is preferred Ph.D. in Computer Science, Math, Statistics, Physics, or closely related field strongly preferred Preferred Skills: Managing automated testing in GitHub Actions Managing and using other AWS resources, such as EC2 instances and Lambda Functions Mathematical writing in LaTeX Lower-level language development, such as C/C++, may arise Relational database design/SQL  100% Remote   Health Care Plan (Medical, Dental & Vision) 401K Life Insurance Paid Time Off (Vacation, Sick & Public Holidays) A work/life balance beyond compare. And we mean it! Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at Within3 regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.


Data Scientist Analytics

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!

About the Data Scientist - Analytics Role at Headspace Health:
We are looking for an outstanding candidate that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.
How your skills and passion will come to life at Headspace Health:

Work with organizations in Headspace Health to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights.

Examples include:

Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.
Teaming with product functions to better understand product engagement, feature use patterns, etc.
Maintain and add to existing analytics infrastructure (Looker).
Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation.
Develop expertise on mental healthcare data sets and lead their modeling to enable insights.
Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.
Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that helps your data customers extract, analyze, and visualize data easier and faster.
Use appropriate tools (e.g. Python, R) to analyze and visualize data.

What you’ve accomplished:

MS with 1+ years of experience (or BS with 2+ years of experience) in statistics, data science or appropriate quantitative fields.
Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.
Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.
Experience in analyzing data statistically using Python (preferred), R, Julia or Scala.
Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).
Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).
Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.
Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.

How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.

How we feel about Diversity & Inclusion:
Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
Headspace Health participates in the E-Verify Program.


Senior Data Scientist Analytics

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!
About the Senior Data Scientist - Analytics Role at Headspace Health:
We are looking for an experienced analyst that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.
How your skills and passion will come to life at Headspace Health:

Focus on what we can do with our AI engine outputs / feature data (both to stakeholders in Looker as well as product) and what features we should consider building in ML moving forwards.
Work with organizations in Headspace Health to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights.

Examples include:

Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.
Teaming with product functions to better understand product engagement, feature use patterns, etc.
Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation.
Realize Headspace Health’s data lake potential by building and prototyping analysis tooling (e.g. Looker connect with Python) that unlocks new classes or insights from varied data sources.
Develop expertise on mental healthcare data sets and lead their modeling to enable insights.
Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.
Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that help your data customers extract, analyze, and visualize data easier and faster.
Use appropriate tools (e.g. Python, R) to analyze and visualize data.

Maintain and add to existing analytics infrastructure (Looker).

What you’ve accomplished:

MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.
Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).
Experience in analyzing data statistically using Python.
Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.
Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.
Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.
Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).
Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.

How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.
How we feel about Diversity & Inclusion:
Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
Headspace Health participates in the E-Verify Program.


Experienced Data Scientist Analytics

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam. #LI-Remote
Making data driven decisions is key to Plaid's culture. To support that, we need a data science team that can apply their analytical skills to understand our users and influence decision making. This includes building and maintaining core data sets and metrics, helping teams like Developer Experience and Consumer Experience design experiments and running in-depth follow up analyses, and supporting, educating, and providing guidance to teams on their product decisions.
We're guided by our principles, including impact, growing together, embracing openness and positivity, and inventing tomorrow; we're looking for people motivated by those same principles.
What excites you
Working closely with product teams to identify important questions and answer them with dataDesigning and interpreting experiments to measure the impact of new features on PlaidDefining core data sets and schemas, as well as visualizing and tracking key metricsRunning impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutionsCommunicating analyses and data-backed recommendations to stakeholdersChampioning a data-first approach toward decision-making across the entire organizationMentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence
What excites us
5+ years of industry experience in a Product Data Science roleDeep understanding of various statistical techniques and experimentation analysis workflows  Strong familiarity with SQL, data visualization tools, and working knowledge of PythonData engineering experience and data pipeline tooling (e.g. Airflow, Redshift) experience is a plusBachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Noticehere.
Please review our Candidate Privacy Notice here.
Apply by API
At Plaid, our API is core to everything we do. In the spirit of our culture, we love receiving job applications as calls to our API.
Submit a POST request to our careers endpoint
Format it as a raw JSON request body
We’ll get back to you with next steps!
POST https://contact.plaid.com/jobs
1{2  "name": "Jenny Applicant",3  "email": "jenny@example.com",4  "resume": "https://www.example.com/your-resume.pdf",5  "phone": "555-867-5309",6  "job_id": "27233d30-ac8e-4dda-b221-300eef08794a", // leave as is7  "github": "https://github.com/octocat", // optional8  "twitter": "@example", // optional9  "website": "https://www.example.com", // optional10  "location": "San Francisco", // optional11  "favorite_candy": "m&m’s", // optional12  "superpower": "multilingual" // optional13}


Data Scientist Iii

Who We Need & What You’ll DoWe are building a wide range of innovative products at the crossroads between atmospheric science and Artificial Intelligence. By joining our Data Science and Machine Learning team, you will bring your unique contribution to those efforts.
A non-exhaustive list of the kind of tasks you can expect to work on:

Dive deep into our existing modeling framework, based on state-of-the-art deep learning and atmospheric science - you’ll learn about geospatial AI, convolutional neural networks, LSTMs, and more
Design new approaches and implement them at scale in production
Apply your findings to diverse topics, from air quality or precipitation forecasting to the simulation of wildfire propagation
Contribute to the daily work of the team and communicate effectively on your work

Who We Are
AccuWeather, recognized and documented as the most accurate source of weather forecasts and warnings in the world, has saved tens of thousands of lives, prevented hundreds of thousands of injuries and tens of billions of dollars in property damage. With global headquarters in State College, Pennsylvania; a severe weather center in Wichita, Kansas; and offices in New York City and elsewhere around the world, AccuWeather serves more than 1.5 billion people daily to help them plan their activities and get more out of their day through innovative digital media properties, such as AccuWeather.com and mobile, as well as AccuWeather For Business (AFB), radio, television, newspapers, digital out of home, the 24/7 AccuWeather Network channel and AccuWeather NOW streaming service. Additionally, AccuWeather produces and distributes news, weather content, and video for more than 180,000 third-party websites.
Job Responsibilities

Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of air quality, precipitation, wildfires, climate, and more
Regularly present model findings and verifications along with areas of possible improvement
Assemble large, complex data sets that meet business requirements
Perform extraction, transformation, loading, and optimization of data from various sources
Work with internal and external stakeholders including the product and executive teams to meet and exceed internal and external client expectations

Deploy machine learning models into production environments

Job Qualifications

3+ years’ experience in machine learning and data science fields
Experience with Python (especially Numpy and Scikit-learn) and the main deep learning frameworks (Tensorflow, PyTorch, Keras, Jax, etc.)
Strong background in mathematics (probabilities, statistics, optimization, ...)
Display a high level of critical thinking and analysis in bringing successful resolution to high-impact, complex, and inter-departmental challenges
Ability to make prompt, sound decisions when faced with complex and often contradictory alternatives that result in successful outcomes
Self-driven; strong problem-solving skills; adaptable, proactive, and willing to take ownership
Strong verbal and written communication skills; excellent collaboration, reporting, and analytical skills
Remote candidates in Paris are being considered for this opportunity

More About AccuWeatherAccuWeather's innovation-first promise has led to the development of many award-winning and propriety features that are available free to the public, including AccuWeather MinuteCast® Minute by Minute™ forecasts with Superior Accuracy ™, the exclusive AccuWeather RealFeel® Temperature, and AccuWeather RealImpact™ Scale for Hurricanes, among many other revolutionary products for the greater safety, convenience and comfort of our users. Further, AccuWeather serves more than half of the Fortune 500 and thousands of other businesses in the U.S. and globally.
Dr. Joel N. Myers, Founder and Chief Executive Officer, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Dr. Myers, a leading creative thinker and visionary, has been named “the most accurate man in weather” by The New York Times and one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs.

Commitment to Diversity & Inclusion
AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here. The pay transparency policy is available here.
AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.


Senior Data Scientist Lead

We are seeking a Senior Data Scientist to lead development of cutting edge insights into legislative & public policy data. Our Data Insights team researches and develops AI techniques that help our customers cut through the fog of complex legislative data to see clearly where and when they can take action for better policy outcomes. Lawmaking often looks like information warfare; we seek to level the playing field through the delivery of accessible, automated data insights. Imagine a community advocacy group operating with a limited budget to navigate within that environment: the insights you develop could mean the difference between that group's members exercising their voice on that issue, or missing the chance.
You will collaborate with data engineers, domain experts and product leadership to design data experiments, de-risk ideas, and drive those ideas into product-ready insights. This is a chance to technically lead a new team, mentor teammates, and build a culture of effective collaboration around deep domain knowledge, product strategy, and execution. This is an individual contributor role that reports to the CTO, with an option to move into people management in the future.
Glimpses into our data:

Hundreds of thousands of proposed laws (bills) across many years in the US Congress, 50 state legislatures (plus DC and Puerto Rico)
A set of actions and documents related to each bill that are added over time: help our users identify which bills are moving/important and which are not
Bill text that might be reintroduced between years, or inserted into other (ostensibly unrelated) bills: help our users catch these cases where important language appears and re-appears
Bill text can be hundreds of pages for a single bill: help our users identify key entities, topics, and more

What you will do:

Research and develop data insights using statistical, machine learning (ML) and natural language processing techniques (NLP)
Strengthen our experimental process, with an emphasis on quickly de-risking high level data insight ideas by using best practices for data science experimentation and a product mentality
Contribute to a culture of effective collaboration around deep domain knowledge by diving into the domain with research-like curiosity and mentoring teammates

The right person for this role:

Has 3+ years of experience in data science roles
Has a strong understanding of data science experimentation and foundational topics / best practices:

data fundamentals: exploratory data analysis, data augmentation, data split and versioning etc.
model fundamentals: translate a problem / question into a model, model training,  parameters tuning
evaluation fundamentals: error analysis, metrics, statistical significance
communication: documentation, charts, presenting insights to audience at different level of technical debt

Has familiarity with the data science stack:

Python
SQL
scientific computing libraries (numpy, pandas, scikit-learn etc.)

NLP experience is a huge plus: for example familiarity with modern NLP (e.g. spacy) or deep learning libraries (e.g. hugging face). Alternatively, eager to learn NLP and happy to work towards that.
Is passionate about solving problems for people doing world-changing work. Knowledge of legislative domain is a plus, but curiosity is a must
Brings a product mentality: research is a tool to drive high-risk/high-reward value into the hands of real users
Upholds our company values: We put people first. We believe in transparency. We are audacious thinkers and doers.
Has experience and willingness to work in a remote-first, distributed team.
Gets excited about delivering tools that truly move the needle for people who do important, world-changing work.
Believes that diversity and communication are core strengths in an engineering team.
Wants to join a startup at the stage where culture is being actively established and engineering habits are being molded.
Cares about civic engagement and the health of our democracy.

Salary Range
Salary depends on location and experience. If you are closer to 3 years of experience, expect a range from $153K to $191K (depending on location). If you are closer to 6-10 years of experience, expect a range from $185K - $230K (depending on location).
To set compensation, we use market research and a defined career advancement ladder. Our goal is to make the compensation scale equitable inside the company, rather than being driven entirely by ad hoc negotiation (which can be a vector for bias). This is certainly a challenge in the engineering market, but one we welcome in service of one of our core values: transparency.


Data Scientist

Role Summary:
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.

We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.

We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, Illinois, New Mexico, New York, Oregon, Texas and Washington.

What you will be focusing on

Prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
Write tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Present results of various data analysis

Experience which will be beneficial

Degree in mathematics, statistics, or computer science
Experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence
Ability to write code that is ready for production (Python and Ruby preferred)
Experience with adjusting data for bias
Ability to communicate effectively with technical developers and non-technical marketing business partners
Ability to critically analyse given data, ask probing questions, and perform own research
Knowledge of statistical modeling techniques

About Sensor Tower

Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.

Why Sensor Tower?

Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!

Our benefits include:
 - Flexible time off so employees can shape their time away from work.
 - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
 - Monthly internet stipend and a one-time $500 home office stipend.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.

#LI-Remote


Senior Data Scientist

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers’ mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
As a Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply machine learning techniques to improve our products and processes. You will also partner cross-functionally with Engineering, Product, Marketing and Operations to build innovative AI/ML solutions in telehealth that drive improvements for the business.
We are looking for someone with strong experience building and deploying machine learning solutions in marketing, business analytics, and operations, someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!
Responsibilities:

Identify opportunities to apply machine learning solutions across marketing, business analytics, and operations
Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques
Drive projects on customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
Contribute to marketing mix modeling and marketing attribution models
Supervise and shape marketing and growth experimentation practices
Partner with engineers and business stakeholders to design, develop and deploy AI/ML products end-to-end to drive business outcomes
Contribute to the development of maturation of data science ecosystems and best practices

Experience & Skills:

3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields
Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable
Expert-level knowledge in statistical experimentation or A/B testing principles
Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python, R, and SQL
Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus
Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration)
Experience with cloud-based machine learning platforms, such as GCP
Results-oriented with strong project management and communications skills

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Sr Data Scientist

Hi there!
We're looking for Senior Data Scientists to join the Data Insights team at Zapier.
Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…

Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier

About You

You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.

You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.

You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.

You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.

You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.

You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).

You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.

You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.

You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.

Things You Might Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:

Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.

As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.

Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.

The Whole Package
Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!
Zapier offers:

Competitive salary and bonus program
Equity for All: Stock options (or equivalent) for every Zapien
Healthcare + dental + vision coverage*
Retirement plan with 4% company match*
$2,000 annual learning stipend for use on courses, conferences, and more—your choice
Two annual all-company retreats
14 weeks paid leave for new parents of biological or adopted children
Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays
Opportunity to work with Zapier’s amazing partners network

*While we take care of Zapiens around the world the best we can, healthcare and retirement plans are currently available specifically in the UK, Canada, and United States.

How to Apply
We have a non-standard application process designed to promote inclusion and equity. We first ask a few questions in our application form that would typically be asked at the start of an initial interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us.
Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people, and do not discriminate based on race, color, sex, gender identity or expression, sexual orientation, religion, national origin, physical or mental disability, military or veteran status, genetic information, pregnancy, age, or any other status protected by local law. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.

Zapier is is committed to inclusion. As part of this commitment, Zapier will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.


Lead Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists.

What You’ll Do:
Lead the design, implementation, and delivery of analytics products and services
Own the predictive modeling process from ingestion to deployment
Design and evaluate longitudinal experiments and make recommendations based on the findings
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Lead research development projects and data science project plans for clients and internal initiatives
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Manage a team of data scientists and analysts using your background and experience and help others grow

Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.

What We Are Seeking:
3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
Experience with experimental design and causal inference
Advanced understanding of a statistical programming language, preferably R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
15 weeks paid parental leave
Professional development & learning stipend
MacBook Pro laptop
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Flexible working hours
Telecommuting/Remote options
Pre-tax transportation options
And more!

The salary for this position is $105,000+ annually.

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.


Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.

What You’ll Do:
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Support research development projects and data science project plans for clients and internal initiatives
Strive to support team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines

Who You Are:
You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You can apply variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button.

What We Are Seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Advanced understanding of a statistical programming language such as R, Python, or Julia
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Experience creating analytics output within a production-oriented team
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating informative and engaging data visualizations using industry leading tools
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency

What recruitment looks like:
We strive to hire efficiently and transparently. We expect to hire this position in June 2022. To get there, we anticipate the successful candidate will complete three interviews and an assessment (HR 15 minutes, technical interview 45 minutes, and team interview 60 minutes), all virtually.

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Telecommuting/Remote options
Pre-tax transportation options
Lunches and snacks
And more!

The salary for this position is $75,000 annually.

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.


Senior Ai Engineer Ai Scientist

About us:
Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. The Mythic Analog Matrix Processor (Mythic AMP™) makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over $165.2 million to date, has over 120 employees, and has offices in Redwood City, CA, and Austin, TX.

About the role:
Mythic’s AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems. This vision comes together on the AI Engineering team, where our expertise is used to develop AI algorithms and models which are optimized for our hardware, as well as to provide guidance to Mythic’s hardware and compiler teams who are building our hardware and compiler platforms. If living at the intersection of AI and hardware sounds exciting to you, this role is for you.

This team significantly impacts Mythic by:
• Developing reduced-precision mathematics techniques for neural networks and AI. This includes quantization into 8-bit and below, as well as modeling the impact of analog compute techniques.
• Working with computer architecture team on new compute units specialized for AI.
• Investigating new features for our compiler that leverage the adaptability of neural networks.
• Developing new neural networks that are optimized for our hardware products.

This role is not location specific. However, candidates will be expected to keeping working hours in line with either Pacific or Central Time.

Here's what you will do

Stay up-to-date on literature for neural network training and inference.
Develop new algorithms, techniques, and neural networks to optimize AI for Mythic’s hardware.
Develop and maintain high-quality rapid prototyping environments for AI.
Develop and maintain high-quality production engineering environment for AI.
Guide other teams (e.g., Mixed-Signal Circuits, Computer Architecture, Compiler) as to end-application impacts of their design choices.

Here's the background we hope you have

BS in Computer Science/ML/DL
7+ years of experience with artificial intelligence and neural networks.
Comprehensive understanding of neural network fundamentals.
Experience with training neural networks with reduced precision or other hardware-based limitations.
Experience with programming languages such as Python or C++.

The following would be nice to have, but is not required

PhD in Computer Science, Computer Engineering, Mathematics, or a related field.
Experience working at startups.
Understanding of the state-of-the-art in the neural network space.
Understanding of creating new datasets and eliminating biases.
Experience working with machine learning, applied optimization, and/or statistical learning.
Experience creating new computer architectures from the ground-up.
Published code portfolio.
Publications in the AI and/or AI/hardware co-design space.
Experience with CUDA or Matlab.
Strong communication skills, both written and spoken, for large and small audiences.

#LI-Remote

For Colorado Only: Minimum salary of $113,000 + equity + benefits. Disclosure as required by sb19-085 (8-5-201) of the minimum salary.

At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We look forward to reviewing your application!


Decision Science Analyst Senior

Purpose of Job
We are currently seeking a Decision Science Analyst Senior to join our Small Business Insurance team.  This Analyst will work in a 100% remote (Work@Home) capacity.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (P&C) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (P&C).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Commercial lines insurance experience
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: $97,200.00 - $175,000*( 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 NOTavailable for this position.


Senior Decision Analyst

Purpose of Job
We are seeking a talented Senior Decision Analyst to join our Marketing Analytics team.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (Marketing) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (Marketing).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Demonstrated analytical experience to support strategies, manage high impact initiatives and deliver ongoing results within a complex matrix environmentExperience collaborating with key resources and stakeholders, influencing decisions and driving analytics to achieve strategic goals in the areas of marketing, planning, media, to also include incorporating industry practices and emerging trendsStrong knowledge of paid media, member segmentation, acquisition and deepening patterns and their associated impacts on financials (e.g. Product revenue, Pre-tax income) and Objectives & Key ResultsAbility to drive change within processes, to include risk and compliance, process flows and the associated documentation; incorporating those enhancements into ongoing work flows across the marketing team.
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: $97,200 - $175,000*(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.


Decision Science Analyst I

Purpose of Job
We are currently seeking a Decision Science Analyst I to join our Small Business Insurance team.  This Analyst will work in a 100% remote (Work@Home) capacity.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (P&C) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years’ experience in data/analytics or functional business experience within the respective industry of responsibility (P&C).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Commercial lines insurance experience
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: $72,900.00 - $131,400*( 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 NOTavailable for this position.


Manager Of Computer Vision

Overjet is on a mission to improve oral healthcare for all.
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.
All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Manager of Computer Vision to join us in our journey to build impactful and bleeding edge Dental AI and research.

What you will do

Lead a team of talented AI/ML scientists who like to tackle hard Computer Vision and NLP problems in the dental domain and productionalize it.
Have the technical expertise to understand and support scientists when making technical decisions, including choosing model architectures and techniques, and labeling and training strategies .
Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of incidents.
Take responsibility for the team’s short-term and long-term strategy. Define the team's roadmap, success metrics, and priorities in close collaboration with other engineering teams and multi-functional partners.
Own your team’s deliverables and ensure we develop scalable, repeatable AI/ML solutions and rapidly iterate on them to delight our users and customers.
Be an aggressive source of AI/ML talent and be comfortable closing high potential candidates from diverse backgrounds.

Responsibilities

Develop and maintain scalable machine learning pipelines for regulated and non-regulated applications
Implement and maintain metrics for tracking ML models performance.
Design and develop microservices and APIs related to data ingestion, machine learning, and product quality.
Seeing through a project from conception to finished product.
Meeting both technical and consumer needs.
Provide leadership and Mentorship to other team members
Develop and maintain Good Machine Learning Practice (GMLP)

Qualifications

2+ years of experience managing ML Teams
5+ years of production experience
2+ years of experience with Google Cloud Platform (GCP) or AWS
Strong knowledge of Computer Vision in some combination of Transformer, CNN, Self-supervised learning, Representation learning, Multi-modal learning and other promising areas.
Recent publications in leading industry conferences like NeurIPS, CVPR etc or medical imaging specific conferences is a strong plus.
Computer science or engineering background with Software Engineering experience; MS or PhD in machine learning or equivalent work experience a plus. Computer vision experience and/or medical imaging experience is a strong plus.
Experience building auto-scaling ML systems
Experience building tools for ML scientists
Experience with database systems including BigQuery, Postgres, MongoDB
Strong programming skills in Python