Data Scientist Pricing

About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.

With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.

The Role:
Our company is looking for a team player who is data-driven, organized, and curious to work on Gametime's core infrastructure that determines prices and curation across the site. As a Pricing Analyst, you will support and inform various functions throughout the company to resolve critical business issues. In this role, you will analyze user behavior, pricing, marketplace, and competitor data to provide insights which will impact major business decisions that will determine Gametime's success. The ideal candidate will be able to thrive in a fast-paced environment and be able to adapt to changes within the business and the industry.

Daily Responsibilities:

Deeply understand, propose, and implement new ideas within Gametime’s pricing and curation infrastructure
Analyze user behavior data and funnel metrics, generating recommendations to enhance and improve our pricing and curation programs
Analyze our competitive position in the marketplace and determine how that impacts our ability to conquest market share
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

Our Ideal Candidate Has:

 4-5+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with Python or R
Understanding of Economic principles and Pricing theories
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong problem-solving skills
Strong collaboration and communication skills

Nice to Have:

Experience with a data visualization software a plus
Experience with A/B testing a plus
Experience analyzing user-centric products, preferably in the gaming or marketplace industries

What we can offer:

Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
Equity
New equipment setup provided
Wellness programs
Tenure recognition

Base Salary Range
$140,000 - $185,000

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Data Science Manager

About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.

With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.

The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, marketing, finance, and operations teams. As a data scientist manager, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

What you'll do/own:

Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Manage a team of 5 data scientists across multiple areas of the business to deliver high caliber results and insights
Help grow and maintain the culture of the organization as we scale
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

Our ideal candidate has:

5+ years of Data Analyst experience, ideally at a technology company
2+ years of Management experience
Proficient in SQL
Experience with A/B testing
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software

What we can offer you:

Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition
Equity in the company

Base Salary Range:

$195,000-  $220,000
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Lead Data Scientist

Company Description
Blend360 is a Dynamic, marketing and analytic consulting company that provides marketing solution services to some of the world’s best known and most respected organizations. We are seeking a Data Science Manager to contribute to our next level of growth and expansion.
As Data Scientists, we work with business leaders to solve clients’ business challenges and improve clients’ marketing results. We contribute our Advanced Data Science subject matter expertise to the recommendations and solutions delivered to our clients.
Job Description
We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time.
Main Responsibilities
The role will also include significant consulting / client facing work comprised of:Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approachWork with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timelinePerform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science PlatformConduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findingsCreate insightful and/or predictive summary variables from granular-level dataDevelop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and toolsDocument predictive models / machine learning results that can be incorporated into client-deliverable documentationDocument key insights, recommend actions client could take, and quantify business impactAssist client to turn models and algorithms into implementable production codes
Qualifications
Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimizationExperience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)Comfortable with cloud-based platforms (AWS, Azure, Google)Experience with Google Analytics, Adobe Analytics, Optimizely a plusExperience in digital marketing a plusThe starting pay range for this role is $100,000 - $145,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Additional Information
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.
This is not the work of the moment, and this requires continued learning and purposeful actions.  We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire, and ultimately the workforce we provide our clients. We will communicate our journey in the spirit of transparency and shared learning.


Risk Portfolio Modeling Analytics

Global Risk Decision Analytics and Capabilities is a key team in Risk & Compliance organization that ensures WEX’s products and processes deliver robust fraud and credit decisions while providing a great customer experience and supporting WEX’s growth. We are a team of data-driven experts with an outstanding ability and sense of mission to find solutions through innovation and collaboration. We are looking for Risk analyst(s), Portfolio Monitoring, who will  be responsible for end to end portfolio monitoring for credit and fraud risk – ensuring full transparency including early indicators and actionable insights, leading to best-in-class credit and fraud results while enabling profitable growth and customer experience for WEX. The successful candidate will have deep knowledge and experience in portfolio transparency including KPI selection and dashboarding, in Risk analytics across the credit and fraud lifecyle and processes, preferably in commercial and small business payments. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report to the Senior Manager, Portfolio Monitoring. Major Roles and Responsibilities
Develop and manages comprehensive portfolio health monitoring consisting of dashboards and alerting approaches for credit and fraud risk, with KPIs, portfolio trends, root cause analysis and actionable deep dives, across products and line of business in WEX
Synthesizing complex data insights into actionable insights and powerful storytelling and concise communication, tailored to audience including senior leadership and C-suite
Performing qualitative and quantitative analysis (leveraging standard tools such as SQL and Python) on credit and fraud risk trends, and working together with Operations, Decision Science, Risk Strategy, Second line and WEX Bank teams to define, evaluate, and implement potential solutions.
Leveraging relevant quantitative methods  including statistical techniques to improve forecasts and produce business insights; leverage visualization and reporting tools (e.g. Tableau)
Continuously monitor additional external data, e.g. credit, fraud and collections performance, conduct deep-dive analyses to explore areas of opportunity, and implement credit controls to address potential/emerging risks
Continuously monitor macro-economic data and industry trends and relate those to trends at WEX; also survey the marketplace to understand industry best practices.
Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML.
Leverage quantitative skills to provide decision support on key initiatives
Partner across Risk, Finance and Business to derive strategic insights and evaluate profitability
Job RequirementsEducation and Experience:
Bachelor’s degree required; advanced degree strongly preferred
3+ years of experience in the Credit or Fraud risk analytics and Commercial Risk space, ideally focusing on portfolio monitoring; Payments industry experience a plus
Experience using analytics/statistics and the underlying tool kit to solve complex business problems - Big Data, Python / SQL, ML studio, Data visualization tools
Skills and Abilities:
Strong data visualization, communication and storytelling skills, that distill complex data and systems issues to both technical and non-technical audiences
Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company
The ability to learn quickly, solve complex problems, and perform in a fast-paced environment
Understanding of and experience with risk decision engines and/or payment technology
Leadership qualities that motivate collaboration with others, guiding the prioritization of initiatives
Willingness to learn and continuously build technical skill set
Ability to prioritize and work on multiple projects and tasks at the same time
Adaptable and comfortable working collaboratively and independently in a self-starting manner
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $61,500.00 - $82,000.00


Data Scientist

BlocPower is a clean energy leader creating smarter, greener, healthier buildings for all by reducing the barriers to money-saving, quality-of-life-improving green building upgrade. We provide engineering, financing and project implementation services for our clients, with a special focus in historically left out communities across the country. These communities, and their buildings, are underserved by traditional energy services companies because they are considered too small, too costly, or too risky. Our portfolio of projects include houses of worship, schools, non-profits, small businesses and multifamily buildings. Through our work, we save our clients money, reduce greenhouse gas emissions, improve health and create local employment opportunities.

At BlocPower, we value our mission. We are trusted advisors that get things done for our customers by using data to make the right decisions. We support and expect excellence from our team members. We treat both our customers and ourselves with care and respect.

As our work is centered around systematically disenfranchised communities – including people of color, people from working class backgrounds, women and LGBTQ people – we strongly encourage applications from people with these identities or who are members of other marginalized communities.

About the Role

To further this mission, BlocPower is looking for a friendly, collaborative, and affectionate  Data Scientist to join our growing team.  This data scientist will be responsible for building truly large-scale, data-driven predictive models and integrating within our organization. You should have a depth of experience with the model development life cycle, and see yourself adding to as much as benefitting from a supportive team environment.

This role will utilize machine learning methods and tools like Python, Scikit learn, and Spark ML to examine business questions, uncover novel insights, and explore new opportunities. It will also will work closely with data engineers, data analysts, and other data scientists in the team to integrate results into operational platforms. The position includes analytic computing, data analytics, predictive modeling, and the communication of results.

Our ideal teammate is someone who is self-directed, believes in our mission, and is an excellent written communicator.

What You'll Do

Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
Mine and analyze data from company databases and data lake to drive optimization and improvement of product development, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use supervised and unsupervised machine learning, predictive modeling, and other statistical techniques to increase and optimize opportunities to retrofit buildings, improve customer experiences, refine sales targeting, and support other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy

Who You Are

Able to stand up and maintain a MDLC pipeline with little to no supervision, using tools such as AWS Sagemaker, Data Robot, Databricks
Able to perform exploratory data analysis with little to no supervision
Able to perform feature engineering with little to no supervision
Able to evaluate which algorithm is best fit to the use case (egs gradient boosting, decision trees, random forest, or deep-learning)
Able to perform hyperparameter tuning with little to no supervision
Able to implement a deep-learning algorithm using tools such as Keras or TensorFlow
Experience with big data analytics using Spark, Kafka/Kinesis etc
Strong project management and organizational skills

Education & Experience
BA/BS or equivalent combination of work experience and education preferably in degree/course work/experience in computer science/data science
2+ years of experience as a Data Scientist

What You'll Get from Us

Base salary between $120,000 and $130,000
Competitive equity in a growing, Series A startup
Health, dental, vision, 401(k) benefits, plus perks like a One Medical membership and commuter benefits

Bonus Points

Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue, Sagemaker
Microservice architectures
Docker, Kubernetes, Docker-Compose
Git and Jenkins
Experience working with IoT/Sensors

This job description is not intended to be a comprehensive list of the duties and responsibilities of the position. The duties and responsibilities may change without notice.

BlocPower™ provides equal employment opportunities(EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlocPower™ complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

BlocPower™ expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of BlocPower™ employees to perform their job duties may result in discipline up to and including discharge.


Data Scientist

We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.

Over 1 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.

We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.

Copy.ai continues to scale, and we are ready to bring on our 1st Data Scientist to join our newly formed Machine Learning Team. Reporting directly to our Head of Machine Learning, our Data Scientist will be a passionate and data-driven expert who will partner closely with internal stakeholders to work with state of the art models and  solve open-ended problems and business challenges in the Natural Language Processing (NLP) space. Aside from training models and applying advanced statistical methods to innovate our product, we are looking for someone who isn’t afraid to take risks and experiment.  If this sounds like you, we’d love to hear from you!

What you'll do:

Partner closely with the Data and Engineering teams to do initial research, develop functional prototypes, and carry it through to production
Brainstorm creative ideas to conduct fast and reliable online experiments to test our hypotheses.
Apply advanced statistical methods to innovative our product and continuously solve problems
Translate real-world problems into well-posed data science questions with product-oriented goals
Identify and train models and algorithms to discover innovative approaches to solve product challenges and improve operational efficiency
Build, implement, and test your concepts in Jupyter notebooks, and Python, using large-scale data sets.
Evangelize a data-driven culture

About you; You are:

2+ years of experience in delivering machine learning models to production
Proficient with standard SQL and relational databases, and Python and its relevant packages
Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systems
An effective communicator meaning you can break down very technical concepts and data to various audiences both technical and non-technical.
Passionate about data, experimentation, and PLG-startups
Experience working with engineers and product managers to launch successful software products
Preferably you have a Masters or Ph.D. or advanced degree in a related field

Copy.ai is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.

What We Offer 😎:

👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 30 team members as of 08/2022
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝  IRL / In-Person retreats throughout the year

Copy.ai Organizational Values:

⭐ Customer focus
⭐ Transparency
⭐ Data driven
⭐ Dog-fooding
⭐ Writing
⭐ Creativity
⭐ Learning
⭐ Ownership


Data Scientist

Full-time, US-based remote
Compensation: $150k - $180K

Our mission is to protect enterprises and government agencies from disinformation attacks by uncovering threatening online trends and neutralizing them.

PeakMetrics is a cybersecurity solution that extracts insights and creates actionable data from millions of unstructured, cross-channel media datasets in real-time. We use ML to spot adversarial online messaging, understand the audiences behind them, present context such as source credibility, and help customers respond.

PeakMetrics has been battle-tested on some of today’s most complex media issues – from responding to crisis management situations to combating state-sponsored disinformation.

As a Data Scientist you will work directly with our product, engineering, and leadership teams to develop data-heavy products. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

You will report directly to the Vice President of Engineering.

What you will do at PeakMetrics:

Research and develop algorithms for detection of social media narratives within large volumes of online content.
Conduct and establish data quality assessments.
Conduct data-driven research into misinformation and provide product data science support.
Analyze data to drive optimization and improvement of product development.
Use predictive modeling to increase and optimize customer experiences
Develop company A/B testing framework and test model quality.
Collaborate cross functionally to better understand the end-user and the features needed to solve their problems/pain points in the product.
Grow and develop the data science capabilities, processes, and team within PeakMetrics

We would love to hear from you if:

Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages  (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Experience in NLP, ML and Data Visualization.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.

It would be nice if you have:

5-7 years of experience manipulating data sets and building statistical models.
Advanced experience in pattern recognition and predictive modeling.

Benefits

We are looking to build a truly diverse, equitable, and inclusive engineering team. We have a number of outstanding benefits to support that.

We are a fully distributed team. Without a central office, everyone’s on an equal footing wherever you’re based in the United States.

We offer flexible schedules and unlimited time off. Take vacations to recharge! We’re about long-term growth and success, so that means working sustainably.

We provide outstanding health care and vision coverage for you and your family.

We offer a 401(k) and HSA programs.

We are an equal opportunity employer and are committed to building an organization that empowers and promotes diversity, inclusion, equity and belonging (DEIB). We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.


Lead Data Scientist Us

Please read the IMPORTANT section at the end of this posting.

About Very
Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time.

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role
As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On
At Very, there is a never-ending supply of variety to the projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner.

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.
- Working with our marketing team to generate high-quality content (blog posts, conference presentations)
- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data
- State classification and prediction for geospatial time series data
- Regression and classification using a variety of deep learning and ensemble tree-based methods
- Clustering/segmentation
- Dimensionality reduction or latent space representation
- Classical statistical analysis and signal processing

Our Current Tooling
Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)
- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)
- SQL/Postgres
- Docker
- Jupyter notebooks for prototyping
- Cloud architecture and resources for production systems. eg)
-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker
-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning
-- 3rd party: TimescaleDB
- Serverless or Terraform for Infrastructure-as-Code
- MLflow
- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)
- React & React Native
- Swift & Objective C
- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves
- Embedded C and other lower level languages such as Rust
- CI/CD including hardware and end-to-end testing and verification
- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities
-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)
-- Communicate how data science can deliver value to the client
-- Estimate quantity of work required to unlock this value
-- Identify related assumptions, risks and dependencies

- Take ownership of the data science components and related systems to ensure project success
-- Architect, build and deploy reliable end-to-end data and ML pipelines into production
-- Ensure the highest level of testing across the full data pipeline and operating envelope
-- Execute and document all algorithm verification testing for certification
-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain
-- Facilitate complex conversations to achieve alignment to drive positive outcomes

- Continue to expand and evolve the Data Science (DS) practice at Very
-- Provide technical guidance to DS and non-DS team members
-- Pairs with mid team members to develop their skills and deliver on projects
-- Continually learn, share and refine your DS skills and knowledge
-- Establish and enact DataOps and MLOps best practices

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects
- - Build reliable product roadmaps with technical implementation strategies
- - Monitor and optimize the technical implementation and coordination of the project
- - Identify and mitigate risks and seek assistance when required

Qualifications
Required
- Master’s degree in Data Science related field
- 5+ years of related experience
-- Deployed statistical, ML or other analytical models to production
-- Lead teams with hardware and software engineers
-- Performed real-time signal processing or lead teams that did so
- Strong written and spoken communication skills in English
- Proficient in Agile development
- Mastery in analytical framing
-- Breaking down solutions into “thin vertical slices” of work
-- Guiding interdisciplinary team to successfully estimate and execute these slices
- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive)
-- Translating desired client outcomes to the appropriate type
-- Understanding the data requirements and techniques to achieve each type
- Experience using a cloud computing platform like AWS, GCP, or Azure
- Expert level Python development skills related to Data Science
-- Object-Oriented Programming
-- Automated testing, code coverage, model building & evaluation
-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch
-- GitHub CI/CD best practices
- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred
- Proficient developing in Linux including and light administration

Nice-to-have
- 7+ years of related experience including with connected devices
- Proficient in embedded real-time signal processing
- AWS Professional level certification
- Familiarity with Elixir, Phoenix, and Nerves
- Hands on experience with Single-Board Computers such as RPi

Compensation

We believe in a fair compensation structure and use a transparent salary matrix.

Base Compensation
Between USD $175,000 and $185,000 per year, commiserate with experience.

Variable Compensation
Up to 15% in the first year

We also offer world-class perks:
- 401k Match

- Insurance (Dental, Vision and Life)
- Paid Parental Leave (95th percentile for the U.S.)

- Home Office Stipend - We can provide help to build your home office/workstation. (Limitations apply).
- $250/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)
- PTO / Sick Time
- Variable Compensation based upon performance
- MacBook Pro (Provided)

Why Work for Very
You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team.

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT:

1. We don't currently provide H1B Visa Sponsorship. Don't apply if you require this.

2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote


Data Scientist

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.

One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.

We
- come from various fields - engineering, mathematics, physics and arts.
 - are allergic to over-engineering.

 - are anarchists at heart and like to hack around the status quo.

- love playing board and video games.
 - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.

 - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.

 - have a sense of humor (well, we think we do).

As an early member of our data science team, you will help
 - push the limits of what can be done with data.

 - build the team and drive the direction of the company.

 - shape our product and culture.

 - experience the direct impact of what you build on hundreds of millions of people’s financial lives.

The following are required
 - the tools: Python, Pandas / Polars, Matplotlib, sklearn, etc.

 - SQL and fundamental database operations.
 - recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).

 - fluency in statistics and probability.

FAQ

Where is Ntropy located?

We are fully remote, with a virtual base in New York, US.

What time-zones do you work with?

We hire anywhere in GMT-7 to GMT+1.

Do you consider part-time work?

Not at the moment. Full-time roles only.

How are you funded?

We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.

Do you already have a product and customers?

Yes. We have been in production since 1st April 2021 and have been rapidly growing since.

Do you plan to sell customer data?

Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.

What is the interview process like?

1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).

2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.

3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.

Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.

What are your hiring plans?

We aim to be 30-40 people by the end of the year. Mostly engineering roles.

What is your current stack?

back-end - Python + Rust (where performance matters)
compute - AWS, GCP
ML - PyTorch, ONNX, Triton

Work / life balance?

We are a startup which requires you to put in a lot more work and soul  than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.

What is the compensation?

$130k (adjusted for location) • 0.09%


Sr Data Scientist

At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Senior Data Scientist – Job Description
Our team is currently looking for a Senior Data Scientist who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. You’ll be flexible, proactive, and solution focused.
Job Responsibilities:
Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them
Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), advanced analytics solutions
Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Contributes to identifying new statistical methods, technologies, and design patterns
Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc.
Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
Partner closely with machine learning engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models
Mentor less experienced data scientists
Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, infrastructure to design and deliver advanced analytic solutions
Work with analysts to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies
Tuning production models
Assists with building data science and advanced analytics roadmaps
Adhere to established coding and ML standards
Work with the defined source control and change management processes
Stay current with the approved enterprise technology and ML stack
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 5 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 5 years of experience working with Database Management Systems, Data Lake, and cloud based ML Ecosystems such as Spark or Azure Databricks
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled in creating operational production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric
Strong desire to uphold best practices
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Remote work option – we’re where you are!
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.


Data Scientist Ii

At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Data Scientist II – Job Description
Our team is currently looking for a Data Scientist II who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. You’ll be flexible, proactive, and solution focused.
Job Responsibilities:
Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them
Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), advanced analytics solutions
Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Contributes to identifying new statistical methods, technologies, and design patterns
Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc.
Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
Partner closely with machine learning engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models
Mentor less experienced data scientists
Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, infrastructure to design and deliver advanced analytic solutions
Work with analysts to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies
Tuning production models
Assists with building data science and advanced analytics roadmaps
Adhere to established coding and ML standards
Work with the defined source control and change management processes
Stay current with the approved enterprise technology and ML stack
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 3 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 3 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Databricks
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled in creating operational production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric
Strong desire to uphold best practices
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Preferences:
Ph.D. preferred
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.


Director Data Science

At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Director, Data Science – Job Description
Our team is looking to bring on a Director of Data Science who is passionate about creating awesome AI/ML solutions for our customers and our teammates. You’ll be responsible for guiding the data science team in developing a strong strategy, best practices, spearheading advanced analytic projects, and managing the team. You’ll be a strategic partner to management and teams across the enterprise to champion innovative, data-driven solutions to optimize healthcare staffing services. The ideal candidate will practice servant leadership, encouraging the team to be flexible, proactive, and solution focused.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services.
Job Responsibilities:
Strategy & Direction
Develop and champion Medical Solutions’ data science initiatives and strategy, with a strong vision for revolutionizing the healthcare staffing industry
Oversees the building of data science and advanced analytics roadmaps and manage strategic portfolio
Partner with business leaders and teams to gain deep understanding of their data requirements to oversees applying advanced analytics solutions to optimize them
Leadership and Team Management
Build a high-performing team of Data Scientists and Machine Learning Engineers, capable of designing, developing, evaluating, and deploying predictive modeling, machine learning (ML), advanced analytics solutions
Act as a servant leader who guides the team to reach their goals
Oversees project teams of data scientists and supporting roles (e.g. data engineers) to deliver end-to-end innovative, high-quality advanced analytic solutions with measurable business value
Coach, mentor, and guide data scientists and machine learning engineers to advance their career development in both technical and non-technical areas
Manage Data Science team headcount and operational budget
Solution Delivery
Build relationships with partner teams and executives
Collaborate with stakeholders/SMEs to ensure business expertise is available throughout the project lifecycle
Work cross-functionally with resources such as analysts, data engineers, architects, DBAs, and cloud infrastructure to design and deliver advanced analytic solutions
Employ expert-level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Identify new statistical methods, technologies, and design patterns for the enterprise data science/ML capabilities
Technical Direction
Oversees and contributes to architectural design discussions
Guide teams in ML-Ops implementations, standards and best practice definition and enforcement, as well as testing processes for the team
Prioritize data pipeline and model testing within the team to ensure a high level of code coverage and quality
Stay current with the approved enterprise technology
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 5 years of demonstrated experience with utilizing machine learning and analytics to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 5 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Databricks
Minimum 6 years in a people management capacity in the data science and analytics space
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g. Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled using DataOps and ML-Ops processes and tools and creating operational, production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric servant leadership
Provides feedback in a constructive way to team members
Expert problem solver
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Ability to capacity plan at a team level
Preferences:
Staffing Industry experience
Travel Nursing experience
Medical field or terminology background
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment) and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Remote work option – we’re where you are!
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.


Data Science Intern Machine Learning Phd

What you'll be doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of product, users, and communities
Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture.
Apply rigorous mathematical/algorithmic foundations and creative solutions to solve challenging problems
Collaborate with other data scientists,  product, engineering, and business teams to make sure the developed machine learning solutions/models achieve high leverage and drive impact.
You’ll Thrive In This Role If You Are/Have (Role Requirements)...
Currently pursuing a PhD in Computer Science or related technical field
Experience with at least one of the following ML areas:

Segmentation and Clustering
Natural Language Understanding
Personalization & Recommender Systems
Causal Inference
Deep Learning Model Optimizations
Computer Vision, Graphics, image and video processing
Search & Conversational AI

Experience writing or shipping ML models as part of coursework, personal projects, internships, competitions or research
Proficient programming in Python.
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
Curious, passion for learning, self-motivated, and excited about solving open-ended challenges.
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
Salary of $89/hour*
*Note: Disclosure as required by NYC Pay Transparency Law and CO Disclosure as required by sb19-085(8-5-20)
*Benefits listed below may differ from those available depending on terms of employment*
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Data Scientist Machine Learning

What you'll be doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
Build predictive models on massive data sets to support high impact company projects
Brainstorm, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure
What you should have
Expertise in at least 2 of the following domains: linear models, neural networks, tree-based models, and unsupervised learning
2+ years of industry experience in developing and productionizing applied machine learning for internal use cases (i.e. low, batch models)
Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics
Proficiency with Python
Knowledge of SQL
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
Curious, passion for learning and excited about solving open-ended challenges.
The ability to explain complex findings and technical approaches to a variety of audiences
Desire to work with amazing, passionate all kinds of partners who care about solving challenging problems to improve Discord for its users
Last but not least - a collaborative attitude and natural curiosity!
Bonus Points
Experience visualizing and auditing model outputs to ensure models are performing as intended
New York City residents only: Minimum salary of $155,000 year + equity and benefits*Note: Disclosure as needed by NYC Pay Transparency LawColorado residents only: Minimum salary of $139,500 year + equity and benefits*Note: Disclosure as needed by sb19-085(8-5-20).
#buildbelonging #LI-JF1
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Data Scientist Personalization

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. In this role, you will work closely with the world class personalization and user understanding teams, who are building signals, fundamental machine learning innovations, and generating leaps that make Pinterest the best place for you to discover and realize your inspiration.
What you’ll do:
Collaborate with Product and Engineering to shape the future of how personalization on Pinterest looks and feels with data driven decision making Define success for new features, projects, and initiatives in a holistic manner that balances trade-offs between multiple other product areas, and generate top line impact  Design and analyze experiments that causally establish core learnings around progress towards goals and Pinner experiences Perform deep dive analysis to understand and optimize the key levers of personalization product team  Work cross-functionally to build and communicate key insights, identify product opportunities and offer recommendations to leadership Work with product managers and engineers to design and operationalize data products that enable them self serve insights
What we’re looking for:
4+ years experience doing quantitative analysis or statistical modeling in a fast-paced, data-driven environment; strong experimentation expertise Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and Python or R A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Knowledgeable about best practices around data manipulation, building data pipelines, feature engineering, and creating dashboards Ability to lead end to end initiatives and communicate findings with leadership and product teams to quickly turn insights into actions Excellent communication skills and ability to explain learnings to both technical and non-technical partners Experience working with recommendation systems, or ML teams is preferred
This position is not eligible for relocation assistance.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$145,700—$218,600 USD
Our Commitment to Diversity:
At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.


Senior Data Scientist Martech

📍Location | UK remote
About us:
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Data Science Team:
We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2023 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
What you’ll be working on
You'll work with our wider MarTech team, which provides our communication platform, AdTech integrations, as well as our web infrastructure. In close collaboration with our engineering, product and marketing colleagues, you will build data products and self-service tools that help our Marketing teams to supercharge user growth and deepen the user engagement with our product.

Your day-to-day

You'll be a member of our central data discipline and fully embedded within the MarTech team where you will
Apply your expertise in data science, data modelling and software engineering best practices, causal inference, quantitative methods, and data visualisation to build self-service data tools and products empowering stakeholders to gain insights and optimise budget decisions.
Leverage our cloud-native data infrastructure (e.g., BigQuery, Looker) and your knowledge about experimentation, performance marketing, AdTech, and CRM to improve our platform capabilities for the effective delivery of campaigns across a growing number of channels.
Partner with our advertising partners and their analytics measurement teams to ensure best practice integration and utilisation of partner capabilities.
Work closely with marketers in our Marketing Tech team to define requirements and guide the implementation of impactful self-service and automation tools.
Stay up to date with the latest marketing measurement strategies in industry

You should apply if:
What we’re doing here at Monzo excites you!

You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well

You're commercially minded and can put numbers into business perspective

You’re as comfortable getting hands-on as taking a step back and thinking strategically

You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so

You're a team player whom your colleagues can rely on

You have solid grounding in SQL and preferably Python

You have experience in conducting large scale A/B experiments

The Interview Process:
Our interview process involves three main stages:

Initial Call
Take home task
Final interview including a case study and a collaboration interview

Our average process takes around 2-3 weeks but we will always work around your availability.
You will have the chance to speak to our recruitment team at various points during your process but if you
do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com
What’s in it for you:
✈ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog,  2021 Diversity and Inclusion Report and 2021 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
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Lead Data Scientist Deep Learning Peacock Video Streaming

Company Description
NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.
Job Description
Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you’ll find more than a job. You’ll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicenter of technology, sports, news, tv, movies and more. We work hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.
As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us.  We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.
Position Overview
As part of the Peacock Data Science team, the Lead, Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service.
Responsibilities include, but are not limited to
Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies.Drive the collection and manipulation of new data and the refinement of existing data sources.Translate complex problems and solutions to all levels of the organization.Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.Drive innovation of the statistical and machine learning methodologies and tools used by the team.
Salary Range: $145,000 - $175,000
Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.4+ years of combined experience in advanced analytics in industry or research.Experience with commercial recommender systems or a lead role in an advanced research recommender system project.Working experience with deep learning, particularly in the areas different form the computer vision.Strong experience with deep learning using TensorFlow.Experience implementing scalable, distributed, and highly available systems using Google Could Platform.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficient in Python.  Java or Scala is a plus.Experience in data processing using SQL and PySpark.
Desired Characteristics
Experience in media analytics and application of data science to the content streaming and TV industry.Good understanding of reinforcement learning algorithms.Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineeringKnowledge of enterprise-level digital analytics platforms (e.g., Adobe Analytics, Google Analytics, etc.)Experience with large-scale video assetsTeam oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
Remote Exceptions: This position can be designated as fully remote or hybrid, meaning that the position is expected to contribute from either a non-NBCUniversal worksite, or most commonly an employee’s residence.


Data Scientist

What You Will Do
A Data Scientist at Goodway Group is at the center of the drive for a data-informed culture. We create models using data from the billions of ad impressions served daily across hundreds of advertisers. We productionalize models with Python, Airflow, and Kubernetes. We test models statistically rigorous AB-tests that impact thousands of advertising campaigns. We work closely with product managers, engineers, and analysts to elevate the use of data at Goodway Group.

Design, build and deploy models that optimize the performance of advertising campaigns.
Work with stakeholders from across the business to gather, understand, and develop actionable use cases for data science products.
Combine data expertise and domain knowledge to elevate and maximize the use of data at the organization.
Perform analysis that generate actionable insights and construct data narratives that convey complex ideas to non-technical stakeholders.
Be constantly learning the latest technologies and trends.
Provide expertise and leadership on making technical decisions

Who You Are
The ideal candidate has multiple years of hands-on experience with modeling and statistical analysis, as well as exposure to the digital marketing and advertising space. You work in Python, know SQL, and have a familiarity with engineering tools like Airflow and AWS. Most importantly you’re curious and have a desire to drive impact with your work.
Preferred qualifications:

Degree in computer science, math, statistics or another quantitative field

Adept with Python and exposure to modern software development practices like version control with GitHub

Knowledge of statistics and modeling best practices

Experience with digital advertising and marketing

Excellent at communicating complex ideas and can convey ideas accurately and concisely to both technical and non-technical stakeholders

Curious and eager to learn new paradigms, tools, and processes; can do so quickly and thrive in a fast-paced, rapidly changing, work environment

Independent and able to responsibly work from home


Senior Data Scientist

Who We Are
Ro is a direct-to-patient healthcare company providing high-quality, affordable healthcare without the need for insurance. Ro is the only company to seamlessly connect telehealth, in-home care, diagnostics, labs, and pharmacy services nationwide. This is enabled by Ro's vertically integrated platform that powers a personalized, end-to-end healthcare experience from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has facilitated more than eight million digital healthcare visits in nearly every county in the United States, including 98% of primary care deserts. Visit Ro.co for more information.

Ro was named #2 in Wellness on Fast Company's 2019 list of the World's Most Innovative Companies, recognized as a CNBC Disruptor 50 in 2022, listed by Inc. Magazine as a Best Place to Work in 2022 for our third consecutive year, and named one of FORTUNE's 2022 Best Medium Workplaces.

The Role
Ro is looking for a versatile Senior Data Scientist with a strong machine learning background to take on a central and multi-faceted role in our Data organization. You will report to the Director of Data Science and Machine Learning and serve a key role at Ro. You will build the systems that define and support  experiences of Ro’s patients, providers, and internal teams, from assessing opportunities to developing and deploying machine learning models to working on research projects you can expect to have a deep impact on Ro and our patients.

What You'll Do:

Architect, build, and deploy robust ML models across a variety of domains (e.g. supervised learning, NLP, causal inference, etc) to explain or predict patient behavior and business outcomes
Ideate, build, and iterate on machine learning models and pipelines in collaboration with stakeholders including business and clinical leaders, product managers, researchers, analysts, and engineers
Present ideas and results, including translating business objectives to DS/ML problems and vice versa
Independently utilize large data sets to uncover, size, and advocate for DS/ML opportunities that improve the experience for patients, providers, or internal teams
Contribute to solving opaque, unstructured problems by developing core DS/ML frameworks that shape the company's approach to data
Contribute to Ro’s IP portfolio by designing and building novel ML solutions that result in peer-reviewed publications or patents
Make Ro an even better place to work by increasing data literacy and expertise through mentorship, hands-on training, development of DS/ML best practices, and documentation

What You'll Bring:

4+ years of hands-on professional experience building ML models for large-scale applications
MS/PhD in a quantitative or scientific discipline or comparable professional experience
Track record of successfully owning projects from conception to completion, including operationalizing problems, conducting independent research, evaluating experiments, deploying ML models, and inventing novel Machine Learning techniques to solve complex problems
Interest in being an early DS/ML team member, including the ability to work across a range of DS/ML methodologies to build a portfolio of high value work, and a preference to work iteratively with your teammates and stakeholders rather than working alone for long periods of time and presenting results intermittently
A bias for action, and sense of comfort working in a highly collaborative, nuanced environment where the problems you’re tackling span a range of domains and stakeholders, or lack established solutions
A deep understanding of what makes for well engineered software systems, and experience building production grade ML models
A love for learning new skills or domains and sharing your knowledge freely, proactively, and effectively with others who are interested
An attitude of generosity and fun - you can take your work seriously without taking yourself too seriously

Bonus Points:

Experience working with healthcare data, personal interest in improving the state of healthcare
Peer reviewed publications in relevant outlets (e.g. IEEE, JMLR, ACL, JAMIA, etc), ML or healthcare related patents or meaningful open source contributions
Experience using Domino Data Lab for deploying ML models and experimentation

Tools We Use:

Python, including common ML/DL packages like NumPy, Tensorflow, Scikit-Learn, SciPy
Snowflake + DBT
Git + GitHub
Domino Data Lab

We've Got You Covered:

Full medical, dental, and vision insurance + OneMedical membership
Healthcare and Dependent Care FSA
401(k) with company match
Flexible PTO
Wellbeing + Learning & Growth reimbursements
Paid parental leave + Fertility benefits
Pet insurance
Student loan refinancing
Virtual resources for mindfulness, counseling, fitness, and physical therapy

The salary range for this position is $182,200 - $209,300. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Ro recognizes the power of in-person collaboration, while supporting the flexibility to work anywhere in the United States. For our Ro’ers in the tri-state (NY) area, you will join us at HQ on Tuesdays and Thursdays. For those outside of the tri-state area, you will be able to join in-person collaborations throughout the year (i.e., during team on-sites).

At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we are committed to building an inclusive environment where you can be you.

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