Applied Ml Scientist

Working hours
Given that we are an all-remote company and hire almost anywhere in the world, we don’t have a particular time-zone preference for this role. However, you may need to be available for non-recurring urgent meetings outside of working hours.
Why this job is exciting
We are creating a machine learning team at Sourcegraph, aimed at creating the most powerful coding assistant in the world. Many companies are trying, but Sourcegraph is uniquely differentiated by our rich code intelligence data and powerful code search platform. In the world of prompting LLMs, context is everything, and Sourcegraph’s context is simply the best you can get: IDE-quality, global-scale, and served lightning fast. Our code intelligence, married with modern AI, is already providing a remarkable alpha experience, and you can help us unlock its full potential.
We are looking for a polyglot AI/ML hacker, versed in programming language semantics, with a strong AI/ML background, who can help us deliver the world’s best coding assistant, built on our mature, robust, and open code intelligence platform. And if you happen to have an entrepreneurial streak, you’re in luck:  We have an enterprise distribution pipeline, so whatever you build can be deployed straight to enterprise customers with some of the largest code bases in the world, without all the go-to-market hassle you’d encounter in a startup.
You will be a scientist at Sourcegraph Labs doing R&D, and pushing the boundaries of what AI can do, as an IC on our new ML team. You will have the full power of Sourcegraph’s Code Intelligence Platform at your disposal, and you’ll be working on a coding assistant that is already awesome even after just a few weeks of work, so this is a greenfield opportunity to multiply dev productivity to unprecedented levels.
Within one month, you will…

Start building a trusting relationship with your peers, and learning the company structure.
Be set up to do local development, and be actively prototyping.
Dive deep into how AI and ML is already used at Sourcegraph and identify ways to improve moving forward.
Ship a substantial new feature to end users.

Within three months, you will…

Be seen as a subject matter expert in all things AI at Sourcegraph.
Be contributing actively to the world’s best coding assistant.
Be following all the relevant research, and conducting research of your own.

Within six months, you will…

Be fully ramped up and owning key pieces of the assistant.
Be ramped up on other relevant parts of the Sourcegraph product.
Be helping design and build what might become the biggest dev accelerator in 20 years.

About you
You are a polyglot hacker in the AI/ML space who wants to be part of a world-class team to push the boundaries of AI, with a particular focus on leveraging Sourcegraph’s code intelligence to leapfrog competitors.
First, you have a deep understanding of programming languages, and tools that manipulate code. This could have taken any number of forms; e.g.:

You’ve worked with grammars and parser generators, or Treesitter
You’ve worked with compilers and semantic analysis, e.g. type systems
You’ve written an interpreter, or worked on a virtual machine
You’ve done static analysis involving scanning source code for semantic information

It doesn’t really matter how you know it, but it’s important that you’re familiar with the basic concepts of semantic representations of source code, and how they’re produced and consumed by tooling.
Second, your AI background could look like a few different things:

You’ve worked on AI systems and have built ML at large tech companies.
You have a deep ML background and have demonstrated an ability to be customer and company focused. You are hands-on and can build machine learning
You are a Prompt Engineer and can take models and figure out how to speak to it in a way that yields different results
You are an entrepreneurial engineer who can hack together prototypes quickly, get things out the door, and iterate
You are an LLM hacker or a thought leader in the LLM space and can craft a roadmap that takes advantage of the space, especially with code intelligence
You’ve worked in NLP or language models at a top-tier research lab

If you’ve been anywhere near the field lately, you can probably pick up enough about LLM capabilities to be able to drive this space, as it’s all greenfield.
Finally, you shouldn’t be a purist about languages. We may need to integrate the coding assistant into a wide variety of tooling contexts, each with its own programming language. You may find yourself writing in several programming languages along the journey, and hopefully you already know most of them a little anyway.
Level
This job is an IC4.  You can read more about our job leveling philosophy in our Handbook.
Compensation
We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. You will have the flexibility to work and live anywhere in the world (unless specified otherwise in the job description), and we’ll never take your location or current/past salary information into account when determining your compensation.  As an open and transparent company that values equitable and competitive compensation for everyone, our compensation ranges are visible to every single Sourcegraph Teammate. To determine your salary, we use a number of market and data-driven salary sources and target the high-end of the range, ensuring that we’re always paying above market regardless of where you live in the world.
The target compensation for this role is $190,000 USD base.
In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.
Interview process
Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!

Introduction Stage - we have initial conversations to get to know you better…

[30m] Recruiter Screen

[60m] Hiring Manager Screen

[60m] Resume Deep Dive

Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team…

[60m] Technical Interview

[60m] Cross-functional Team Collaboration Interview

[60m] Peer Interview

Final Interview Stage - we move you to our final round, where you meet cross-functional partners and gain a better understanding of our business and values holistically…

[30m] Values Interview

[30m] Leadership Interview
We check references and make you an offer!

And that’s it! Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.


Data Scientist Marketing

Product Data Scientist
About Stitch Fix
Stitch Fix is the world’s leading online personal styling service, combining data science and human judgment to deliver apparel, shoes, and accessories personalized to its clients’ unique tastes, lifestyles, and budgets. We delight customers with a personalized experience that helps them build a wardrobe that fits their style so they look and feel their best. Over the last 10 years, Stitch Fix has delighted customers with convenient styling services by integrating the power of data science together with human stylists. The company recently  expanded its experience beyond the personal styling experience delivered via fixes by adding new offerings including a direct shopping experience in a personalized feed. This new shopping feed represents the beginning of a new chapter for the company,  and delivers a superior shopping experience by presenting shoppers with items that fit them and their style. We envision a future in which we continue to disrupt traditional models by leveraging our stylists and our data science capabilities to delight customers in new ways with enhancements .
About the role
Product Analytics is an integral part of the future success of our business. Our clients want clothes that will help them look and feel their best -- without the burden of sifting through thousands of items that don’t. As an experienced Product Analyst, you will help to provide the data and insights that will inform our product decisions. You will proactively uncover insights that influence the product roadmap, our merchandising and marketing decisions.  You will define and monitor the metrics that best measure the customer experience and are most impactful to the business, design experiments to test hypotheses and inform launch decisions. The role reports to the Director of Product Analytics.
Minimum qualifications

4+ years in a product data science or Analyst role
2+ years of experience in working with event/log data
Exceptional coding skill in SQL and in Python
Experience with data mining, transforming and analyzing data across databases
Experience in working autonomously and taking ownership of projects.
Exceptional skill in structuring analyses, dashboard design and data visualizations to communicate meaningful metrics within the business.
Exceptional communication skills that allow you to effectively distill highly complex data analyses to non-technical business partners.
Ability to  prioritize and focus on the questions that matter most to the business
Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)
Experience partnering with product managers and algorithmic data scientists to answer tough business problems
2+ years of experience with data visualization tools (e.g. Looker, Tableau)

Preferred qualifications

Degree in a business or quantitative field (e.g., business, economics, statistics, computer science)
Experience working with product and engineering teams and technologies on platforms with existing, significant user adoption.
Experience with Spark

Responsibilities

Own analytics, within several development work streams, from KPI definition and data instrumentation design to ongoing reporting, deep-dive and generative research
Establish curated dashboards that will serve as the primary source of by which the business views results
Develop data-driven business insights to help make better decisions that power our business by partnering with cross functional teams (Product, Marketing, Eng, Design and leadership to drive maximum business impact
Help define metrics and design event-based analytics implementation by working with Engineering. Audit metric trends and collaborate across product, marketing and merch organizations to  inform decisions and future investments.
Design, Implement and evaluate A/B tests with championing best practice experimentation methodologies to optimize customer journey with our products.
Run queries to support ad-hoc product questions and create Looker dashboards and other visualizations for stakeholders.
Understand funnels, user behaviors, and long-term trends in our data to identify opportunities for new features.

Why you’ll love working at Stitch Fix:

We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

Employment Type: Full-Time.  Location - remote (US) with quarterly travel to San Francisco, CA


Director Data Science

Meet Upside
We created Upside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.
Upside was named on Deloitte's 2021 & 2022 list of Fastest Growing 500 Tech Companies and #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.
Meet the Data team:
We are a close-knit group of hardworking, fast-learning individuals that believes in a data-driven approach to decision-making. We encourage a culture that emphasizes learning from mistakes. Our Data team debates and deliberates on the best ideas to improve our processes, and strives for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates. We build and produce data science and machine learning models that are pivotal to Upside's mission.
About the job:
The Director, Data Science operates as a player/coach, engaging in analysis and R&D, as well as leveling up data literacy with each business partner. This role’s impact will reach across Finance, Marketing, Operations, Product, Engineering, and Sales to design experiments, develop prediction models, and perform causal analysis to inform strategy. As a leader, the Director will grow the team and impact the direction and evolution of the data practice and the company as a whole.
What you’ll do:

Lead an initial team of 6 Data Scientists and actively recruit to grow the data science function
Build partnerships across Upside and seek to understand data and modeling needs
Establish team priorities, align with key objectives and deliver results
Decide on technical experiment designs, statistical analysis and modeling methodology
Communicate technical and quantitative concepts to non-technical audiences and tie recommendations to business goals and outcomes

What you need:

10+ years of predictive analytics, data science, or machine learning experience
Exposure to personalization such as for product recommendation, rank order and offer pricing
Experience with marketing experiment design, decisioning and optimization across channels (e.g. paid search, paid social, organic search, direct mail, radio and TV)
Knowledge of transactions and payment fraud detection and risk management
5+ years of experience with managing a team
Ph.D. or Master’s degree in a quantitative or similar field
Experience in SQL, Python and a visualization tool (ideally Looker)
Ability to simplify complex problems, synthesize data, and create compelling narratives to inform decision making
Analytical and organizational skills, along with a strong attention to detail and eye for quality

Our technology stack:

SQL
Python
Snowflake
AWS
Looker
Jupyter
Sagemaker

The fine print:

Location: This is a fully-remote role that may sit anywhere in the United States. You're welcome to work from our DC, Austin, Chicago or New York office if you're in-region!

Notice to recruiters and placement agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

At Upside, we believe that diversity drives innovation. Our differences are what makes us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here. Come join us!
#LI-SJ1


Data Scientist

About the Opportunity
As a Data scientist, you will be working on analyzing, developing, and translating state-of-the-art machine learning models to generate direct impacts on the care pathway of heart disease diagnosis and prognosis. You’ll be working with other data scientists, data engineers, biostatisticians, regulatory team members, and senior leadership to understand clinical requirements, develop novel solutions, and support product release and regulatory activities. You will also work closely with the world’s renowned research labs on research collaborations.
Salary: $140,000 - 190,000

Responsibilities

Researching and developing prototypes of state-of-the-art machine learning models with applications in coronary CT angiography imaging
Conducting analyses of the algorithms and prototypes being researched and developed
Researching new methods of measuring and analyzing large and highly complicated data sets
Working with engineers to deploy machine learning algorithms in clinical practice
Presenting findings and recommendations to peers and other stakeholders
Preparing patents and publications
Managing collaborative research projects with key academic partners

Requirements

The position requires a minimum of a Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field or a MS degree with 4 years of relevant experience
Strong theoretical and practical background in image science, applied mathematics, machine learning, and deep learning
Research experience in applying machine learning / deep learning in medical imaging processing, i.e. segmentation, registration, classification, reconstruction, detection, etc.
Strong track record of publications in top medical imaging or computer vision journals/conferences, i.e. Medical Image Analysis, MICCAI, IEEE TMI, CVPR, etc.
Strong skills in Python to access large amounts of data, execute multiple analysis steps, visualize intermediate and final results
Ability to quickly translate clinical application requirements into machine learning solutions
Demonstrated critical thinking and project management skills
Excellent interpersonal skills, cross-group and cross-culture collaboration

Impress us more…

2+ years of postdoctoral experience
Experience in developing and applying state-of-the-art deep learning models, e.g. vision transformer, LSTM, semi-supervised machine learning, incremental or continuous learning techniques, etc.
Strong knowledge of CT imaging


Lead Data Scientist

The Opportunity
In your role as  Lead Data Scientist, you’ll be responsible for the line management of a team of Data Scientists, acting as both a coach and a mentor. You’ll manage complex deliveries of Featurespace machine learning models into customer environments, managing client teams, and helping to accelerate critical work.
You’ll be involved in the improvement of internal processes, both operational and technical, and act as a senior point of knowledge and escalation of data science-related technical questions from the EMEA delivery team.
This role can be based remotely across the US, with our main office based in Atlanta.
Day to Day
Developing and nurturing a team of Data Scientists
Managing team members on projects from the smallest to the very largest customer deployments
Ensuring that projects are run according to best practice as documented by the Data Science team’s ways of working
Monitoring the quality of the deliverables output by the Data Science team, ensuring that these are produced to an industry leading standard
Sharing knowledge of best practice relating to methods for data preparation, data visualisation, feature generation, feature selection and model governance
Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Improving team processes to increase team efficiency and quality of output
Providing input into future data science strategy and product development
Acting as product owner for critical tools in the data science workflow, ensuring that important functionality is delivered to specification by the responsible engineering team
Leading discussion with development teams to support and enhance the analytical infrastructure
Evaluating and improving the analytical results on live systems
Being an expert of industry data structures and processes
Develop expertise in the ARIC analytical tool stack and ARIC system architecture
Apply now


Head Of Data Science

Fairmarkit is looking for a Head of Data Science to lead a talented and growing team of data scientists, machine learning engineers, data engineers, and analysts in our next phase of growth. In this role, you will leverage our expansive spend data – hundreds of billions of dollars to date – to develop data and ML solutions for our customer’s most critical needs. As a leader, you will have an impact on data-based decision-making across the company and will collaborate across departments, from product and technology to sales and customer success.
You are a great fit for this role if your greatest strengths include:

Translating business requirements into statistical problems that can then be attacked with data and models.
Communicating effectively with both technical and non-technical audiences and acting as the “go-to” source for answers to all things data.
Working with CTO and product team on the company data strategy and ML team roadmap
Leading, mentoring, and growing an A+ team of data scientists and engineers.

About the role

You will report to our CTO and will directly lead our team of data scientists, data engineers, and machine learning engineers.
You will define, measure, and monitor metrics that indicate success, both for specific products and in aggregate, communicate them to both internal and external stakeholders, and use them to make prioritization and release decisions.
You will continually evaluate the competitive landscape and monitor developments in available data and state-of-the-art methods to ensure that our solutions are best-in-class and our value proposition remains strong and unique.

About you

You are available for meetings and collaboration between 9a and 5p ET.
You have an advanced academic degree in a technical discipline such as CS, mathematics, statistics, or operations research. A research degree (PhD or equivalent) is preferred but not required.
You have 5 or more years of industry experience as a practitioner, with at least 2 years of experience as a leader and people manager.
You have experience managing and working with large-scale datasets (i.e. datasets that would be impossible to load and interact with on a top of the line MacBook Pro).
You have expertise in commonly used languages and frameworks for data work, such as SQL, R and Python (languages) and pandas, pySpark, and tidyverse (frameworks).
You are comfortable with industry-standard containerization and virtualization technologies, such as Docker, k8s, and helm.
You have experience with most of the technologies (or similar technologies) that we use in our data stack:

Data processing (e.g. Spark, Hadoop, EMR, Databricks)
Data cataloging (e.g. Glue, Data Factory)
Data formats (e.g. Avro, Parquet)
Stream processing (e.g. Kafka, Flink)
Workflow orchestration (e.g. Argo, Airflow)
General machine learning frameworks (e.g. PyTorch, LightGBM, XGBoost)
NLP frameworks (e.g. NLTK, spaCy, fastText)

For this role we are looking for a candidate based in the United States. Remote work opportunities may be limited to designated states. The compensation range for this position is between $225K-245K per year base salary + equity and benefits, and is dependent on years and depth of experience.


Data Scientist

This role is posted in anticipation of projected business needs. We are seeking talented Data Scientists at varying career levels. Job DescriptionBe part of the growing team that’s poised to transform the fight against cancer. Backed by the strength of a Fortune 8 company, our entrepreneurial organization develops technologies used by the oncology provider community to deliver evidence-based, personalized care, as well as insights used by biopharma companies to accelerate drug development and support the entire treatment journey. Our work powers informed decision-making at every pivotal moment in oncology – from the treatment options presented to patients, to the operational considerations for oncology practices, to the design of clinical trials, to the assessment of real-world effectiveness of treatments, to the commercial launch plans for new therapies. We are looking for a self-motivated, capable, enthusiastic, and dependable person to join our growing Data Science & Analytics team in this collaborative and results-oriented position that is focused on helping to execute our Market Insights and Advisory Solutions strategies. Position SummaryThe team draws upon deep expertise in data science, data analytics, and real-world clinical data to deliver innovative data-driven strategies and insights for clients in the life sciences industry across all phases of product development and commercialization. Our work helps clients define markets, demonstrate value and effectiveness, and inform business decisions throughout product lifecycles.  The Data Scientist will have the opportunity to work on complex business problems leveraging our in-house data sources within a collaborative environment. This role will be responsible to support healthcare data initiatives by providing accurate and timely data preparation, analysis and insights, quality assurance and ongoing system and process maintenance. This person will be responsible for obtaining and validating raw data, performing analysis, producing mock-up and production reports and visualizations from available sources. The person will have an in-depth knowledge of software, documentation, utilities & program scripts as well as excellent written & verbal communication skills. Key responsibilities:
With minimal supervision, synthesizes business rules and methodological approach to answer questions posed by internal or external clients
Analyzes raw healthcare data from multiple sources, such as, electronic health records and claims data, using algorithms and statistical programming
Formats output of data analysis for customer readiness
Ensures data sets and reports are built to specifications
Facilitates and participates in peer review meetings for each of the deliverables
Works on multiple projects simultaneously in a fast-paced, dynamic environment
Leverage data visualization and interactive dashboards to effectively communicate insights and help clients make better decisions from our clinical data products
Interacts with clients to clarify needs and in reviewing results
Proactively communicates, collaborates, and builds relationships with external and internal clients
Translating the findings from reports for clients into implications or recommendations for business decisions
Ability to formulate and implement effective data strategies, and identify areas for significant efficiency gain through automation
Provides quality assurance on all assigned reporting and data extracts
Audits database contents for accuracy and validity
Obtains proper approvals on each of the deliverables
 Minimum RequirementsDegree or equivalent and typically requires 3+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications. Educational BackgroundBachelors/Master’s degree in Healthcare, Public Health, Statistics, Research Methods, or related fields preferred. Master’s degree a plus. Critical Skills

3+ years of experience in programming on enterprise or department servers or systems

3+ years of programing in SAS, Python, SQL

Minimum two (2) years of work experience in clinical data analysis and/or supporting healthcare information systems

Experience or a strong interest in statistical programming, data analysis, visualization and applying quantitative methods to real-world business problems in the life sciences industry
Experience in mining Claims and EMR data, preferably oncology related data
Passion for using data, analytics and visualization to solve business challenges our clients face
In-depth knowledge of software, documentation, utilities & program scripts, & excellent written & verbal communication skills
Demonstrated analytical, quantitative, and organizational skills
Self-starter, able to work with limited supervision
Healthcare consulting experience
Demonstrates curiosity and a creative approach to problem solving
Strong interpersonal, oral and written communication skills
An excellent academic record
Effectively work independently and within a team
Excellent attention to detail
A desire to continuously learn and develop professionally
Proficient in Microsoft Word, Excel, and PowerPoint
Our Pay Range for this position: $103,100 - $205,500At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. Our Base Pay Range for this positionMcKesson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.Current employees must apply through the internal career site.Join us at McKesson!


Sr Data Scientist Rwd

Join the fight against cancer.Location: Remote, USATravel: up to 15%Role type: Full TimeBacked by the strength of a Fortune 9 company (McKesson Corporation), Ontada® develops technologies used by the oncology community to deliver evidence-based, personalized care, as well as insights used by biopharma companies to accelerate drug development and support the entire treatment journey. We help Oncology providers make data-driven decisions, so patients have the best treatment options. Together with our partners, we are fighting against cancer and changing the lives of cancer patients.How You can Make an ImpactThe Ontada team draws upon deep expertise in data science, data analytics, and real-world clinical data to deliver innovative data-driven strategies and insights for clients in the life sciences industry across all phases of product development and commercialization. Our work helps clients define markets, demonstrate value and effectiveness, and inform business decisions throughout product lifecycles.The Senior Data Scientist will have the opportunity to work on complex business problems leveraging our in-house data sources within a collaborative environment. This role will be responsible to support healthcare data initiatives by providing accurate and timely data preparation, analysis and insights, quality assurance and ongoing system and process maintenance. This person will be responsible for obtaining and validating raw data, performing analysis, producing mock-up and production reports and visualizations from available sources. The person will have an in-depth knowledge of software, documentation, utilities & program scripts as well as excellent written & verbal communication skills.How you’ll spend your day:
With minimal supervision, synthesizes business rules and methodological approach to answer questions posed by internal or external clients
Analyzes raw healthcare data from multiple sources, such as, electronic health records and claims data, using algorithms and statistical programming
Ensures data sets and reports are built to specifications and formats output of data analysis for customer readiness
Facilitates and participates in peer review meetings for each of the deliverables
Works on multiple projects simultaneously in a fast-paced, dynamic environment
Leverage data visualization and interactive dashboards to effectively communicate insights and help clients make better decisions from our clinical data products
Interacts with clients to clarify needs and in reviewing results
Proactively communicates, collaborates, and builds relationships with external and internal clients
Translating the findings from reports for clients into implications or recommendations for business decisions
Ability to formulate and implement effective data strategies, and identify areas for significant efficiency gain through automation
Provides quality assurance on all assigned reporting and data extracts
*This is not an exhaustive list; other relevant duties and responsibilities may be assigned at the needs and discretion of the business.  What You’ll Need
Bachelors/Master’s degree in Healthcare, Public Health, Statistics, Research Methods, or related fields preferred. Master's or PhD preferred.
7+ years of work experience in clinical data analysis and/or supporting healthcare information systems
5+ years of programming in SAS and SQL
Experience or a strong interest in statistical programming, data analysis, visualization and applying quantitative methods to real-world business problems in the life sciences industry
Experience in mining Claims and EMR data, preferably oncology related data
What Will Help You Excel?
Python or R programming experience in addition to SAS/SQL is strongly preferred
Strong interpersonal, oral and written communication skills
Self-starter, able to work with limited supervision
Demonstrates curiosity and a creative approach to problem solving
Effectively work independently and within a team
Excellent attention to detail and desire to continuously learn and develop professionally
Proficient in Microsoft Word, Excel, and PowerPoint
Healthcare consulting and oncology experience
Why Ontada?
Generous salary with bonus opportunities (adjustments made based on market location)
Medical, dental, and vision plans with the opportunity for generous discounts through our Vitality partner
3+ weeks of paid time off a year to spend however you want and 12 paid holidays
Up to 14 weeks of paid parental leave and five to 10 days of paid care and bereavement leave
McKesson contributes a percentage of your total 401k contributions each year towards your retirement fund
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. Our Base Pay Range for this position$117,500 - $195,800McKesson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.Current employees must apply through the internal career site.Join us at McKesson!


Senior Data Scientist

Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop best-in-class machine learning and advanced statistical models to achieve business objectives. You’ll accomplish this by clarifying requirements, scoping projects, identifying appropriate algorithms from ideation to launch and iteration. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.
This position is based in Seattle, WA or remote.
As a Senior Data Scientist at Shelf Engine, you will:

Research, build, and launch machine learning and advanced statistical models to solve complex problems
Learn and share knowledge with the team to determine strategies, solutions, and initiatives
Provide technical mentorship and expand training to improve data science best practices
Design, analyze, and interpret the results of experiments
Work closely with Engineering, Operations, and Customer teams to identify problem areas and develop robust, scalable solutions
Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers

What we are looking for in a candidate:

You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic
3-5+ years industry experience with some combination of:

Experience putting models into production or with a live online system
Experience working with big data and standard tooling (e.g. Python, SQL, Spark)
Experience with performance monitoring and automated alerting
Experience with production ML tooling (e.g. Airflow, Databricks, Azure, AWS, or GCP)

You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflow.
You have experience in advanced machine learning, statistics, experimentation, and optimization.
Nice to have: experience building supply chain or inventory management solutions
You have a Masters/PhD degree in a STEM field.
You are authorized to work in the U.S. for any employer.

What Shelf Engine offers you:

A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environment
An inclusive work environment that emphasizes each team member’s personal and professional growth
Competitive salary in the range of $140,000 to $165,000 depending on skills and experience
Pre-IPO equity with a four-year vesting schedule
PTO that is unlimited and self-managed for full-time employees
100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependents
Coverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance Program
Optional employee contribution of pre-tax dollars to medical and dependent care FSA accounts
401k plan through Guideline to contribute to your financial future

Seattle only: Company-paid ORCA transit card


Senior Product Data Scientist Global Markets

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for a Senior Product Data Scientist to join our Global Markets team and help build Cash App, the fastest growing financial app in the world, globally. Data Science is at the core of everything we do, and this is no different as we enter new markets. If the thought of trying to understand questions like, Who are our early adopters? Where are we growing in this country? What do we need for product market fit? How can we grow faster? excite you, then this is the role for you. In this role, it is especially important to be able to tell a powerful story, backed by data, to a broad range of team members, from product to operations, to help us be as successful as possible in new markets.
As a PDS at Cash App you will:
Work in collaborative team environments including Product, Marketing, Engineering, Design and Research to shape Cash App in new markets.Effectively communicate your work with team leads and cross-functional stakeholders on a regular basisAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product team
Qualifications
You have:
Intellectual curiosity and a passion for what Cash App is buildingAn appreciation for the connection between your work and the experience it delivers to customers3+years of data science and analytics experience in industryA graduate degree in the physics, economics, statistics, or a similar STEM field or Experience with scripting and data analysis programming languages, such as Python (preferable) or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environment
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Product Data Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building

Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Decision Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
This role is part of Cash App's ML team and will be deeply embedded within our Customer Support Workstream. This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions.
Qualifications
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, etc.)MySQL, Snowflake, GCP/AWS, Tableau, Looker
You have:
Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLPSolid experience with data analysis and scripting in Python and proficient in SQLFamiliarity with ML techniques, applications and best practices in solving real world problemsProficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Lead Data Scientist Finance

About this Role
We are seeking a Lead Data Scientist with experience in finance to help grow the figment data team.
We're looking for someone who has strong technical data science skills and the ability to interact with the business units. The candidate should be able to identify issues, use data to propose solutions, and clearly convey how to leverage data driven results for effective decision making.
If you enjoy solving data driven solutions and providing real business impact, then this role may be a good fit for you. Ideal candidates are comfortable working in an unstructured environment, dealing with uncertainty, minimal direction, and working across a range of projects.
What you will be doing

Scoping, planning, and delivering data driven solutions for the Figment finance team, Sales and customer success team.
Using analytics and machine learning tools to produce solutions.
Be the team interface with Finance & CS for supporting ad hoc EDA and various reports.
Data extraction (python scripts, json files, etc) to building pipelines from various external sources such as; blockchain block explores, APIs, and webscrapers
Establish new systems and processes and look for opportunities to improve the flow of data
Evaluate new and emerging technologies
Stay up to date with the latest technology, techniques and methods

What you will bring to the team

Significant experience with Data Science and Data Solutions
Familiar with a modern data stack (databases and pipelining, Vis tools, ML platforms )
Results oriented individual with a high EQ and attention to detail
Desire to try new ideas if the first one doesn't work
Team working skills and a collaborative approach to sharing ideas and finding solutions
Experience in one of the following - financial reporting, digital assets, securities
Familiarity of working with Blockchains or in the Web3 space
Experience with data engineering tasks
Background interacting and working with a finance team
Working knowledge of:

Our stack (AWS, Snowflake, jupyterhub, Dagster, dbt, Fivetran, Monte Carlo)
Our tools (Python, Selenium, metabase/signal, GitHub, Jira, Slack)

One of Figment’s core principles is “Making the Invisible Visible” - ensuring transparency and information sharing in all communication. Figment is committed to transparency regarding pay, benefits, and other compensation types for all internal roles as well as all roles being hired for.
Base Salary: The US base salary range for this position is $160,000 to $200,000 USD. The Canadian base salary range for this position is $160,000 to $200,000 CAD. This range reflects base salary only, and does not include additional compensation or benefits. For candidates in other countries, the pay range will be disclosed upon your first interview with Figment (being a globally remote company, the list of salary ranges would simply be too long to note here!). The range displayed reflects the minimum and maximum range for a new hire across all of the US. A candidate’s specific pay within the range will be determined by various factors including job-related skills, relevant education, and training.
Benefits: All full-time employees of Figment receive the following competitive benefits. For candidates beyond Canada and the US, benefits will be outlined during your first interview with Figment.

100% remote-first environment, with co-working spaces in our employee “hubs” across the globe for those who enjoy a hybrid model
4 weeks of PTO that kick in day one, with an additional 1 week of flex days
Extended company-paid health benefits that kick in day one
Best in class parental leave and flexible arrangements
A home office stipend to create a space that you enjoy working in
Monthly Wifi reimbursement
A yearly Learning & Development budget
401K (US) or RRSP match (Canada)
Stock Options in the company
Competitive bonus (based on company performance) that is distributed quarterly - we believe that the company’s success should be shared with our employees often

For roles listed within the Sales Department, there is instead a competitive commissions structure which will be outlined during your first interview with Figment

Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!
A culture of honesty, professionalism and risk taking in a high-growth environment


Data Scientist

About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You and The Role
We are looking for a highly skilled data scientist to join our growing Data team. As a key member of the Data team, you will be primarily responsible for designing algorithms that improve operational efficiency. In this role, you’ll work cross-functionally with members of our Operations, Engineering, and Data teams to identify opportunities, brainstorm solutions, and implement production-quality algorithms. The ideal candidate is excited about solving ML, optimization, and causal inference problems and partnering with our Engineering teams to deploy your solutions in our software. You'll tackle exciting challenges like designing algorithms to optimize aircraft allocation at our various distribution centers and improve on-time delivery rates for incoming orders. Secondary responsibilities include analyzing data produced by our hardware devices and contributing to our internal data science libraries to help teams across the company. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do

Partner with engineers, product managers, and business partners to identify algorithmic problems, come up with possible approaches, and recommend the best path forward.
Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
Define success criteria for your models so that you can measure impact and changes over time. You’ll be expected to communicate findings and drive continuous improvements.
Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
Collaborate with stakeholders to prioritize projects and define requirements.
Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.

What You'll Bring

Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib.
Strong understanding of machine learning algorithms, data modeling, and statistical analysis.
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to communicate clearly with both technical and non-technical audiences.
Ability to work independently and manage multiple projects simultaneously.
Nice to haves:

Experience with Databricks or PySpark
Experience with productionizing data models

What Else You Need to Know
Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you’re based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most).
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Please Note
We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.
Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.
If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.


Data Scientist

Who we are

Aquicore was founded in 2013 in the early hours of the morning on the belief that smarter and more connected buildings will have a global impact in curbing our climate challenges and make buildings technologically ready for the next century.
We create global impact by bettering the built environment every day.
Our next generation of software facilitates smarter building operations used by the largest real estate owners and operators around the world. We are changing the industry from the ground up and we’re looking for the right people to achieve our mission!We’re amped by the work we do and driven to constantly propel our values and culture. While awards aren’t the goal, we are humbled to be recognized as one of the coolest places to work by organizations such as DC Inno. Our people come first and it’s the combination of our culture and our mission that has been our greatest differentiator. We take our core values as a company seriously and aspire to level-up our Aquicorians in their careers and professional growth.

 Our Challenge

We are seeking a Data Scientist who will continually find ways to make Aquicore innovative. This individual will generate creative solutions to the hardest problems in CRE sustainability while making product improvements in a scalable way.

The Impact you’ll have

You will work with cutting-edge technology to improve the commercial real estate industry to be more efficient, intelligent, and sustainable by bringing in smart machine learning products. You will generate meaningful insights for customers to run their buildings more efficiently and keep them excited about Aquicore. You will automate processes to multiply value to customers and develop tools to assure high data quality which is the backbone of Aquicore. You will help the team make intelligent decisions with data-driven insights.

Who you will work with

Data scientists collaborate with industry experts from many disciplines: software engineers, data engineers, and product managers. You will also work closely with domain experts across the company such as building systems engineers or customer service specialists to understand the core problems and customer needs. You will be expected to report and present to senior leadership on team initiatives.

The skills we are looking for…

3-5 years of experience in the Data Science field
“Must have” technical skills: Python, Pandas, scikit-learn, SQL, Jupyter notebooks, Databricks, GitHub, machine learning
“Nice to have” technical skills: Spark, Databricks, object oriented programming, natural language processing, AWS, REST APIs
Completed a degree program in the fields of mathematics, statistics, computer science, engineering; or related field
Work effectively in a collaborative environment
Strong communications skills to both technical and non-technical audiences
Persistent, proactive, and autonomous while driven by continuous self improvement
Interest in sustainability, building sciences, commercial real estate industry a plus but not needed

Within 1 Month you will…

Complete our training & certification program designed to get you up to speed with our business and our customers. You’ll learn about our business, product, vision, and team, and gain an understanding about how your role fits into the AQ family. You’ll learn about our business, product, vision, and team, and gain an understanding about how your role fits into the AQ family.
Speak fluently about our customer segments and the businesses that buy and sell real estate who use our product. Understand the fundamentals about real estate, how buildings work, and why the real estate industry buys and sells iconic skyscrapers across the cities of the US.
Understand the key personas within real estate who use our product and why they use it.
Participate in weekly team meetings that get you up to speed with our development process
Develop familiarity with our current codebases and data science software applications.
Get familiarized with different data sources, databases, and data warehouses at Aquicore and be comfortable with querying data from different sourcesImprove data quality pipelines to enable AQ engineers
Establish a regular cadence of reporting your weekly accomplishments and challenges to your manager

Within 3 Months you will…

Perform exploratory data analysis with various data sources and generate meaningful insights
Generate reports and deliver presentations on your findings.
Participate in your team’s successful completion of multiple milestones for a Data Science team epic.

Within 6 Months you will…

Work closely with domain experts to understand the problem and find solutions to solve the real business problem using data science expertise you have.
Build end to end pipelines with which you pull data from existing databases, generate insights through various data mining techniques, build models to make accurate predictions, and write outputs to a database that will be integrated into the product.
Host an internal Lunch-and-Learn with the data science team to share knowledge on a new algorithm, a new feature or tech tips that will benefit the team

Within 12 Months you will…

Make suggestions to our Roadmap and what we should be building based on your technical knowledge.
Mentor team members
Own ongoing interactions, priorities, and roadmap for data science solutions.
Have developed close relationships with customers and fellow Aquicorians to get a deep appreciation for the management of real estate portfolios.

Is this role not a perfect fit?
Sign up to stay in touch. We have new positions regularly and we’d love to reach out to you first when it opens up!

We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. Aquicore is an EEOC.


Sr Data Scientist Product Analyst Contractor

ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you'll do:
Data is core to how ClassDojo makes informed choices. As a Data Science contractor, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestone: serving 100 million+ families, and 100 million+ in revenue, while deepening love for our brand.
The Data Science function at ClassDojo is an equal partner to product, engineering, and design. As a DS on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy across our entire business.
You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.

Drive orders of magnitude of growth in ClassDojo's network and revenue growth
Design and evaluate product experiments and improvements, working with cross-functional teams to translate insights into action
Define product strategy and direction, in collaboration with cross-functional peers
Empower teams with the skills and tools to get their own insights

You will be a match if:

You have at least 4 years of data science experience
You can work 24-40 hours per week with us

You might be a good fit if:

You have 5+ years experience in a data science or similar role at a consumer company, ideally with a stint on a high-quality growth team or monetization team
You have good business judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast

Bonus:

Experience with data pipelines: transforming raw production and external data into user-friendly tables.

[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.


Director Of Data Science

SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with the eCBSV and testified before the United States House of Representatives.

As the Director of Data Science at SentiLink, you will be responsible for machine learning model development and maintenance. You will lead a team of experienced data scientists in improving these products. You will work with risk operations, engineering, analytics, and product teams across the company to ensure full end-to-end quality of the models. Success will additionally be judged by growth of team capabilities. Hiring strong talent, successfully onboarding and training data scientists, and setting a high performance standard are core parts of the role.

Remote: the team is remote-primarily within the US, but for this role we have a preference for someone who would be able to travel on a monthly basis.

Responsibilities:

Scoring product quality. End-to-end model development: feature engineering, versioning and online-offline consistency, model development and deployment, productionalization, interpretable ML, calibration, monitoring, etc.
Model/score release lifecycle management
Driving product roadmap execution, including close work with the engineering and product orgs
Uphold a high level of technical excellence within the team
Hire, train, and manage a high-performing team
Working with data engineering around data access
Partnering with finance and other teams around sourcing and evaluating new datasets
Model governance (Model risk management, fair ML) and external communication
Being available as necessary for on-call duty

Requirements:

6+ years of experience working in machine learning or model-focused data science development
Graduate degree in technical field or additional experience
4+ years of production code development
3+ years of experience managing a high-performing team of 4+ people
Outcome-focused: has excelled at production model development in the past
Experience in at least one of fintech, payments, fraud, financial services, or identity verification
Strong communication skills: both internally within the company and with external stakeholders
Willingness to develop deep domain expertise
Experience with Python, AWS, SQL

Perks:

Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
Employer paid group health insurance for you and your dependents
. . . and other typical start-up benefits (e.g. 401(k) plan with employer match, flexible paid time off, etc.)

Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart

Salary Range:
$210,000/year - $290,000/year


Data Scientist Forecasting Us

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a strong Data Scientist with statistics and economics background who can work on banking deposit products and forecast fund flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Director Of Data Science Spain

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Director of Data Science to lead a cross-disciplinary team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact You Will Make:

Lead a group of Data Scientists and Machine Learning Engineers to successfully deploy elegant solutions
Foster a culture of collaboration and excellence
Continue the buildout and improvement of our ML infrastructure and platform
Develop and mentor team members professionally and technically
Identify hiring needs and work with our talent team to find the best people
Collaborate closely with our product team to understand customer needs and build ML solutions that meet them
Work alongside our data and engineering leaders to build new features and capabilities
Develop best practices for ML and ML engineering, covering data processing, monitoring, experimentation etc

Who you are:

PhD in machine learning, statistics or comparable field, or MS/BS degree with significant industry experience.
6+ years of data science/machine learning experience applied to business problems
4+ years of experience leading machine learning teams
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep learning as well as traditional modeling techniques
Experience with modern ML development stack, open source libraries and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, etc.).
Experience with ML engineering, able to propose and design ML solution, comfortable reviewing production code
Experience with MLOps, comfortable designing and operating a system that can deploy and manage ML models in production

The following experience would be a plus:

Knowledge of distributed tools and frameworks, like Spark/Hadoop for large scale data processing
Ad tech and/or mobile space

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely.
Private health insurance
Life insurance
Optical complement for glasses or contact lenses.
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist

Who is Flock?
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global.  Now surpassing a 3B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information

How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center

The Role
Flock is looking for a passionate Ops Data Scientist to explore, mine, and build data, and leverage it using advanced analytical techniques to help drive critical business decisions.
How you’ll make an impact:

Perform analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities

We’re looking for people who have:

BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
3+ years proven experience as a data scientist, ML engineer, or BI engineer
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Experience modeling data to drive analytics
Experience in Tableau
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
Our Values
Our values define how we approach our work every single day:

Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community

To read more about our values click here.
Why Join Us?
While being surrounded by a bunch of cool people working to eliminate crime is its own reward, we have plenty more to offer:

We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more
91% of our employees recommend working here
We have an audacious goal of reducing crime in the United States by 25% over the next three years
3% of crimes in the US are solved by Flock, and we help to solve ~200 crimes a day

We partner with 2100+ cities and 1500+ agencies across the US and process 1.1B+ images a week (we process more images than Instagram 🤯)

The Perks
💰Salary & Equity: In this role, you’ll receive a starting salary of $120,000-$140,000 as well as stock options
🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
⚕Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility.
🧠Mental Health: All employees receive an annual subscription to Headspace
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.