Data Scientist Healthtech Algorithms

Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in America. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We launched Pearl Health because we believe primary care providers, armed with the proper tools and resources, can have an outsized impact in achieving high-quality, affordable healthcare. We foresee a shift to an increasingly value-based future where physicians and provider groups will participate in the value they create for the healthcare system and will increasingly require proper tooling, information systems, capital support, and technology to succeed in these models.
We are a team of physicians (Groups), practice-enablement experts (VillageMD, Steward, Stellar), technologists (athenahealth, TrialSpark, Flatiron Health) and health plan leaders (Oscar, Clover, Centivo) who believe that primary care providers (PCPs) are the key to America’s future health.  Today, we support over 100 providers in value-based Medicare models and are on track to substantially increase the Medicare population we will be responsible for managing with our physician partners for 2023 (+$300M of Medicare benchmark risk). Our investors include Andreessen Horowitz and AlleyCorp.
What we hope you can do...
We are seeking a brilliant Data Scientist with a track record of propelling business strategies through analytical insights and algorithmic systems.  Your work will be a core asset of our company, allowing us to more efficiently provide better care to our members and to create novel financial arrangements for each of our aligned physicians.  You should be a strategic and analytical thinker, an effective communicator, an expert in analytical and data infrastructure systems, comfortable working with actuaries on complicated risk analyses, and performing sophisticated modeling exercises independently.  We anticipate that AI, ML, and NLP will be central elements of our product, so you should have a deep familiarity with and passion for these technologies.
What a Data Scientist means to us...

Translate the company’s goals and vision into its strategy and operations by conducting sophisticated quantitative analyses while informing decisions about our infrastructure and approach
Help us change the future of work for doctors in America by applying state of the art technology solutions, including machine learning, natural language processing, and explicable AI - likely in partnership with key external partners.
Experience developing and deploying sophisticated algorithmic approaches to prioritizing patient care in a clinical setting (or comparably sophisticated spaces).
Support all business lines, including sales and business development, by enabling those teams to nimbly make data-driven decisions, balancing competing goals, and making difficult trade-offs when required.
Partner effectively with our Chief Product Officer and Chief Technology Officer toward best-in-class analytics systems to give our physician partners insight into their patient panels.
Support the technology needs of various departments by creating a data-literate ecosystem.

Who you are…

4-7 years of experience in performing results-driven quantitative analysis in a collaborative environment.
Degree in statistics, applied math, computer science, engineering or a related field.
SQL expertise and strong foundation in at least one of the main data science programming languages. Python is our current primary language and is preferred.
A proven ability to conduct research and empower data-driven aspects of our product through a mix of internal resources and external vendors, especially in AI, ML and NLP domains.
Experience collaborating with data engineering teams to define needs for an ETL pipeline and familiarity with the most common ETL tools.
Thoughtful collaborator, able to manage multiple demanding stakeholders, assimilate complex information quickly, and scope work in a way that balances deep insight and fast turnaround.
Prior experience working with healthcare data in any part of the industry (payor, provider, pharmacy, etc.); familiarity with population health data is preferred but not essential

The First 90 Days….
We aren’t the over-prescriptive types but to give you a sense of what we think we’ll do in your first 3 months together:
First 30 Days: Get your hands dirty really understanding the universe of doctors we will be partnering with in our first year in the Direct Contracting model. Help us profile risk, identify opportunities for performance improvement, and lay the foundation for the work we will do in the year ahead. Take a crash course in the still new DCE model to ensure Pearl’s continued leadership in understanding and explaining its value.
First 60 Days: Navigate the crucial launch window for the 2022 Performance Year where we will receive our first batch of data from our DCE partners and begin providing our service to our doctors. Become a subject matter expert on our datasets and define the measures we will use to guide our work throughout the performance year.
First 90 Days: Own the ongoing performance analysis and improvement process as we do both bespoke work with our practices and productize insights into the platform. Dig deep on the opportunities for growth within our existing universe of doctors and potential acquisitions for Performance Year 2.
Our Values
We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things.
We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment.
Covid-19
We are a remote-first company, largely congregated on the East Coast, with concentrations of team members at our NYC headquarters and in the Boston area.  While the world is in lockdown, we’re all working remotely, but hope to facilitate more in-person time as the Covid situation improves.  We expect a large part of our workforce to be remote after the pandemic ends.
#LI-Remote


Senior Data Scientist

What you'll be doing:

Work with midsize and large waveform and patient datasets and apply advanced analytical methods to derive clinically relevant metrics and indications.
Conduct end to end analyses. Create requirements specifications, processing, analysis, ongoing deliverables, and presentations.

Build and prototype analysis pipelines. Optimize database and computational resources for the data science team.

Manage a data science team. Work closely with engineers and managers to identify opportunities for design improvements and operational efficiency.

Collaborate with clinical research team to design end-to-end study infrastructure and pipeline to collect data from clinical sites.
Prepare and present statistical analysis of algorithms performance at academic and medical conferences.
Participate and engage in thought leadership working groups around the regulation of AI in clinical practice.

What we're looking for:

MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience

5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics

Deep understanding of both classical machine learning and modern AI/deep learning concepts
Ability to effectively communicate requirements, manage tasks, and relay results to management team
Experience with analytic database design and application
Understanding of good machine learning practice for medical device development (preferred)
Experience in team management or leadership (preferred)
Experience with wearable health sensors and related biometric algorithms (e.g. PPG, ECG, respiratory signals) (preferred)

Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist

WHO WE ARE
Northern Labs is on a mission to lower the barrier to entrepreneurship in Canada and help companies grow to a massive scale. As a Venture Studio, we use our deep technology expertise, capital, and vast network to assist founders in turning ideas into viable companies.
We specialize in blockchain, fintech, marketplaces, analytics, and gaming, and partner with top-tier venture-backed startups to build out highly scalable, enterprise-grade products and platforms.

WHO WE’RE LOOKING FOR
We are looking for a skilled Data Scientist to leverage our internal platform data and public blockchain data to generate machine learning models to detect potential fraud and deliver insights to improve our business. Our ideal candidate is passionate about data and relentlessly pursues improvement in themselves, their work, and their team.

WHAT YOU’LL DO

Join an engineering-focused team building applications in the blockchain and gaming space
Create machine learning models for identifying fraud in payment processing systems
Identify, propose, and conduct analytics using machine learning with internal and external teams
Explore public blockchain data
Collaborate closely with data engineers and internal product and development teams

ABOUT YOU

3+ years of relevant professional experience in a data scientist or similar role
Programming skills in Python
Experience with creating, tuning, and implementing supervised or unsupervised machine learning models
Solid understanding of SQL
Experience with cloud-based data warehouses (Snowflake, Redshift, BigQuery, etc.)
Ability to operate in a fast-moving startup environment
Ambition, eagerness to learn, a positive attitude, and the ability to work within a team environment
Strong written and verbal communication skills
Familiarity with development best practices

BONUS IF YOU HAVE

Experience with blockchain technologies (bitcoin, ethereum, etc.)
Familiarity with Unix/Linux systems
Experience with financial systems and trading
Experience with payments processing
Experience communicating with remote teams or working in a remote environment


Data Scientist Tech Lead Trusted Identity

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
Square's Payments Platform is an open, global financial services platform for developers who serve sellers. It provides the necessary components to manage identity, process payments across multiple channels, hold and transfer funds, and provide accounting, reconciliation, and reporting in a secure and compliant way.
You'll be the data science tech lead for Trusted Identity - the product organization that enables sellers to start taking payments with Square. Trusted Identity ensures that we know who we're doing business with and keep up-to-date with our sellers as their businesses change and grow. Customers rely on this platform to make it painless to stay within the bounds of the law regardless of how their business evolves. You will partner directly with engineering managers, product managers, and software engineers on Trusted Identity, and you will report to Wafa Soofi, manager of data science and machine learning for the Payments Platform.
You will:
Work directly with engineering, design, and product leaders to develop and execute a multi-year data strategy for Trusted Identity.Drive the Trusted Identity product roadmap via data-driven insights. You will work with product and engineering to ensure data models and instrumentation are in place, defining organizational north-star metrics, and interpreting those metrics for critical roadmap decisions.Monitor and optimize product experience and processes via automation. You will design and build schemas and data pipelines/ETLs, build dashboards, and design/run A/B tests.Direct the work of, and provide mentorship to, junior team members through feedback, coaching, and hands-on technical guidanceIdentify new opportunities for the data science team to pursue in partnership with product and engineering teams.
Qualifications
1+ year(s) of technical leadership experience in a data science or product analytics role5+ years of hands-on experience in data science and product analyticsExperience designing and executing a multi-quarter roadmap for a data team.Experience applying data engineering, data analytics, and data science techniques to business and product problemsExpertise with SQL, Python, and/or other analytics languages/tools and visualization
Additional Information
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.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
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.


Staff Data Scientist Enterprise

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced data scientist to support the enterprise product area at Slack. The enterprise ecosystem is a critical component of Slack’s strategy to become an even more convenient and powerful tool for collaboration for full spectrum of async and synchronous work. It provides our grid customers with rich and enhanced experience on our platform with targeted features and integrations. In this role, you will work closely with the enterprise product organization to understand and improve the product experience of enterprise segment. As Slack builds out its next generation of enterprise experiences, you’ll work on unearthing insights that will help point to the direction of future enhancements. You will also help establish the foundational data infrastructure to enable success measurements. You will partner with researchers, designers, and engineers to uncover user experience gaps and opportunities. Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. What you will be doing
Apply various data science methods to understand usage patterns of grid customers
Perform evidence-based evaluations of the most important drivers of increased adoption of the enterprise specific features
Build out key success metrics and reporting for the enterprise product organization
Prototype foundational data pipelines and partner with the data engineering org to elevate these into canonical sources of truth for enterprise metrics
Identify and clearly communicate potential opportunities to improve the end user experience
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product strategy
What you should have
5+ years of data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools.
An advanced degree (MS, PhD) in a quantitative field (e.g. Stats, Maths, Computer Science, Economics, Physics, etc) a plus
Expertise in at least one programming language for data programming (e.g. Python, R, Scala)
Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow.
Comfortable and skilled at written and verbal communication to varied audiences
Experience collaborating with and influencing cross functional partners
Experience in building advanced data pipelines and designing data scheme and table infrastructure
A related technical degree required
Plus: Experience with statistical and machine learning methods to build non production models
For Colorado-based roles: Minimum annual salary of $150,200. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/*LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services

This is a full-time, salaried position. Immigration sponsorship is not available.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.).

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.
Karat is an E-Verify company.


Data Scientist Us

OVERVIEW:Do you see patterns or opportunities that others don’t see? Do you enjoying asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find the best way to tackle a problem and share the approach with others? General Mills is seeking a Data Scientist to join our Data Science, Digital and Technology team that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
KEY RESPONSIBILITIES
Develop novel ways to help business partners achieve objectives through analysis and modellingThink outside the box to identify and test new sources of information that unlock new business valueCurate and connect external data sets for broad enterprise-wide analytic usageBe a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teamsEngineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal resultsUtilize machine learning to create repeatable, dynamic, and scalable modelsHave passion to advocate and educate on the value and importance of data driven decision making and analytical methodsIdentify and develop long-term data science processes, frameworks, tools, and standardsBe a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
MINIMUM QUALIFICATIONS
Bachelor’s Degree required; 3+ years of relevant experienceComfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insightsExperience with Python and R, comfortable working with DataFramesAbility to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)Experience writing complex SQL queriesUnderstanding of data warehousing and databases is criticalExperience with data visualization toolsNumber sense, ability to identify questionable data, dig in and address itExemplary organizational skills with attention to detail and accuracyBias for action with ability to deliver outstanding results through task prioritization and time managementStrong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs
PREFERRED QUALIFICATIONS
Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred6+ years’ experience with at least 2 years of relevant experience in Data ScienceExperience with machine learningMathematical and statistical backgroundExperience with Google Cloud Platform or other cloud platformsExperience with Hadoop, Hive, and/or Spark
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Data Scientist

POSITION SUMMARY:
Be The Match is looking for a Data Scientist to join our Data Analytics team.  This role will report to the Manager, Data Analytics and will be instrumental in supporting the organization to achieve its five-year strategy.  If you have ever desired to be part of a truly mission driven organization – now is the time!
The scope of work for this role will include model creation for various operational processes which is inclusive but not limited to the following: model selection, feature selection, model accuracy and measurement while providing transparency and collaboration with internal partners. The person in this role will provide input and analytics expertise to teams and leaders in the organization and serve as a leader to help drive adoption and acceptance of analytical approaches.
As a Data Scientist, you will also be expected to mentor and train other data scientists on technical solutions. This role will have the credibility and technical acumen to influence business stakeholders and peers by providing analytical insight and transparency throughout development. You’ll work directly with various cross functional teams to share insight and provide accessible statistical output. You’ll engage with stakeholders to review analysis and recommend additional data points and analytical techniques to be applied.  This position can be remote (US) or hybrid.  #LI-Remote #LI-Hybrid
Check out our video Saving Lives: It’s the Best Job Ever
ACCOUNTABILITIES:
Interpret data, analyze results using statistical and analytical techniques and lead cross functional working groups to share data and recommend strategies
Independently identify, analyze, and interpret trends or patterns in our data using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
Understand and articulate complex mathematical and computational learning concepts
Develop sophisticated custom data models and algorithms
Assist in the development of processes and tools to monitor and analyze model performance and data accuracy
Assist in complex analysis of business data to identify patterns and correlations among the various data points
Collaboration with key stakeholders and data partners to define data requirements needed to support the business processes, translate insights, and facilitate key decision making
Assist in developing process improvement solutions and systems that are designed based on data and analytics
Contributes to the design of new initiatives that require test and measurement before full implementation
Applies acceptable statistical techniques to ensure tests are properly conducted
Proactively leads in statistical data mining and other analytical tasks
Participate in projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills
Conducts risk assessment and offers options, when possible, to stakeholders
Acts as the source of unbiased data-supported insights to the organization; confidently challenges norms
Continue to support and work closely with data analysts as needed
Work in close collaboration with Senior Data Scientist
REQUIRED QUALIFICATIONS:
Knowledge of:
Strong computer skills including experience with Microsoft office software
Experience writing queries (SQL) and experience with large data sets and complex integrated systems
Experience using SAS, SAS JMP, R, Python, Uniex or Perl. Understanding of data quality methods, statistical analysis (SAS, R) and predictive modeling preferred.
Knowledge of programming tool like AWS cloud computing, Docker, Spark, Microsoft Azure ML
Data science, bioinformatics, machine learning, data mining, operations research, statistical modeling techniques and applications for high volume and complex datasets
Knowledge of best coding practices
Understanding of how to operationalize a model
Ability to:
Explain statistical concepts in easy to understand language to colleagues with little to no background in data analysis
Display data visually, creating powerful presentations and stories which effectively quantify and justify value created to both analytical and non-analytical audiences
Speak courageously, challenge ideas and propose alternatives
Grasp the diversity of our systems and network and the ability to make recommendations and implement solutions
Strong attention to detail and excellent organizational skills
Well- developed interpersonal skills dealing with people of different cultures and styles
Advanced communication skills to include writing and oral abilities to connect with a wide range of people
Demonstrate excellent analytical, problem solving with a strong customer focus
Manage multiple assignments simultaneously with minimal direction or supervision
Work and deliver under tight timeframes
Perform quality assurance/validation, innovate in application of methodologies, and troubleshoot and reproduce analyses.
Demonstrate coding and documentation skills and in-depth knowledge for handling of complex datasets.
Code in one or more of R, Python, and Java and learn or utilize others as needed.
Education and/or Experience:
Bachelor’s Degree in Computer Science, Bioinformatics, Economics, Statistics, Mathematics, Physics, Finance, or other quantitative disciplines. However, upon evaluation, equivalent related experience and/or education may be substituted for degree requirement.
A minimum of 3 years professional hands-on experience translating analytics including statistical modeling, data mining, and predictive modeling/forecasting into actionable insights
PREFERED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)
Master’s degree or higher
Experience in biosciences and bioinformatics preferred.
Proof of being up-to-date on COVID-19 vaccination, including a booster when eligible, with acceptable documentation is required for employment. NMDP will consider all requests for medical or religious accommodation.
Additional Information
Number of Openings: 1
Pay Basis: Yearly
Schedule: Full-time
Driver Policy: No


Data Scientist Ii

Caterpillar E6Be1C0C A3A3 4B0E 9A2F 56Ea9932B440

Career Area:
Information Analytics
Job Description:
 JOB SUMMARY:
For over 90 years, our products and services have helped improve the lives of people around the world. Our customers use our products and our services to build the basic infrastructure that enables higher standards of living so that people have access to water, electricity, roads, bridges, hospitals, schools and so much more.
The Data Strategy Data Scientist II uses quantitative methods such as data mining and advanced statistical techniques to solve business challenges for internal and external Caterpillar Financial customers. The Data Scientist II contributes to this mission by leveraging his or her quantitative analysis, data management, modeling, and data visualization skills as an individual contributor to project teams tasked with solving business problems.
  Caterpillar Financial uses quantitative techniques to solve problems. Typical problems include enhancing customer solutions by delivering key insights to our business partners to determine the principal drivers to best align Caterpillar Financial products and services with our customers.     The principal responsibility of the Data Scientist II is to be an independent contributor to a team of Data Scientists within the Business Excellence Division. This position has a depth of knowledge in quantitative analytic methods, data management, and associated digital technologies suitable to handle complex issues. Data Scientists are expected to be familiar with the company’s processes, products, and organization, as well as its internal customers.     Work is typically directed by a direct supervisor, project, or team lead through a review of work requested by the business. Challenges include meeting expectations in delivering results, refining solutions from complex situations, making timely decisions, and communicating effectively with all project stakeholders.     Enhance the stakeholder experience by fully understanding the data requirements, use Lean methodology to add value to the initial requirements, and communicate the enhanced data solution back to the stakeholder.     Mentor and develop the capabilities and organizational knowledge of more junior data scientists and associates.     Demonstrates thorough knowledge of statistical approaches, data management techniques, and related digital technologies, and the ability to handle complex issues.     The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they will exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Financial Products Division its products and services; its internal systems, processes, and procedures.
 REQUIRED QUALIFICATIONS/EXPERIENCE:
  Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of analytics experience utilizing quantitative analysis, or a Master’s degree and 2-3 years of experience.     Incumbent will have exhibited the ability to work on increasingly more complex assignments and will have demonstrated teamwork, initiative, interpersonal skills, and the ability to communicate effectively.     2-4 years experience with Caterpillar, working with a different unit or working with different products, processes or systems is highly desirable.     Excellent presentation, communication, interpersonal, and collaboration skills.     Capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions and communicate effectively.     Must be comfortable working in MS Office, and industry standard statistics and data visualization packages such as SAS, R, Python, SQL, Business Objects, Tableau, Power BI and Alteryx. Candidates with experience on handing data in AWS and Snowflake is a plus.
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Relocation provided
#LI #LI-Remote
Relocation is available for this position.
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .


Head Of Data

About the Role
Coalition’s mission is to protect the unprotected.  To do this, we are reinventing an experience for organizations that helps them be secure in the uncertain world of digital risks.  This means providing security at multiple levels: cyber, financial, and emotional through our innovative, end-to-end product suite.  This product suite enables a new category that we are pioneering called Active Insurance. As the Head of Data Science at Coalition you will own our entire data platform and all of the ways that we derive value from it including analytics, machine learning, and artificial intelligence. Making effective and innovative use of our data is a fundamental pillar of our Active Insurance Strategy. Your organization will drive innovative end-to-end solutions from understanding our business requirements and historical data in the areas such as risk assessment, underwriting, and classification. You will collaborate closely with both engineering peers and business stakeholders.  We are a human centric organization that is building for the long-term. We celebrate diversity and work hard to build a culture that is inclusive for all. Our culture is built around humility, purpose, authenticity, and responsibility. We have embraced distributed and remote work and our product and engineering teams are clustered in California, Washington, Colorado, Texas, and Portugal. Our ideal candidate will form insights and find innovative ways to meet current and evolving customer needs. We are looking for an experienced leader with a track record of successfully leading and growing a world-class data science and analytics organization.
Responsibilities

Build a world-class team. Hire excellent data scientists, machine learning engineers, and engineering managers. Mentor them and lay a clear growth path for your team.
Develop our data science strategy and vision. Your goal is to drive impact across different aspects of our business through innovative use of data science and machine learning
Follow and share industry trends in data science and machine learning engineering
Deliver machine learning models into production. Operate your services at scale with high operational rigor
Create, enhance, and maintain technical documentation for all aspects of our data platform. Use this to drive engagement in the organization
Work with executive stakeholders across the company to help incorporate company goals and initiatives into the vision and plans for your area
Make Coalition a better place by modeling our cultural values and taking on the unseen, unforeseen, and important items that come up along the way

Skills and Qualifications

Computer Science or Engineering degree, or a related technical discipline, or equivalent work experience
10+ years experience in data science, data analytics, and machine learning
5+ years management experience and must have led a multi-team data science or machine learning engineering organization
Demonstrated success delivering and operating machine learning capabilities in production

Bonus Points

Prior fintech or insuretech experience


Data Scientist Underwriting Analytics

About the Role
Coalition is looking for a data scientist to join our rapidly growing data science team to find a solution to underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us identify and improve our underwriting system. you will be accountable for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing further automation opportunities.

This role requires an aptitude to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company.
Responsibilities

Evaluate our current underwriting practices and compare them against industry trends
Assess intricate processes and workflows to identify and implement improvements to increase productivity and improve cycle time.
Assist reporting, analytics, and machine-learning needs of the entire Underwriting team
Proactively drive conversations with key business stakeholders to drive continuous underwriting improvements
Guide the company's underwriting + pricing KPIs, assessments, and data visualizations
Assist the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems
Create and maintain documentation that will assist the effective implementation of repeatable processes and workflows
Spread data science top practices to both data science and underwriting team

Skills and Qualifications

2+ years of experience in a professional analytics / data science capacity
Experience writing SQL queries to extract and prepare data for modeling and assessments
Strong logical skills with the experience to collect, organize, assess, and disseminate significant amounts of information with attention to detail and accuracy
Experience to think objectively and interpret meaningful themes from quantitative and qualitative data
Experience to build constructive and effective relationships with a broad and diverse group of business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong communication skills and aptitude to convey intricate topics to non-technical audiences
Passionate about subjects such as experimental design, data visualization, and statistical assessment techniques

Bonus Points

Experience working in Tableau/Looker or similar data visualization tool a big plus
Experience within the insurance or financial services industry, with a focus on underwriting
Experience with Python or R
A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field


Senior Data Scientist Css Workforce

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a people presence who values helping partners strategize data-driven projects? Do you relish the opportunity to dive headfirst into vast projects and contribute across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services (CSS) team supporting our Workforce Data Science organization, you will partner with important business leads, focus on some of the most exciting challenges Atlassian faces.
We understand and acknowledge that any one person may not have all of the below expertise. We encourage you to apply even if you do not satisfy every requirement.
Some examples of what you'll do:
Work with partner teams to improve efficiency in a scaling and changing customer support environment, bringing analytic capabilities and insights to bearPartner with our growing Talent Enablement team comprised of several diverse roles (learning enablement and development, talent tech, communications, change management and more) to deliver analytical insightsBe a people analytics specialist to serve our Customer Support employees by defining and implementing analytics solutionsTell compelling stories with data and analyticsDevelop partnerships with business, people, and operations leadersManage partner needs and serve as a powerful analytics champion to support growing a successful data cultureProvide technical expertise in data management, analytic and statistical methods, and data visualizationAddress challenges, performance bottlenecks and growth opportunities with analytic solutionsPlay the role of analytic expert across teams, focused on measurement of new strategies or projects, sizing of opportunities, and understanding of complex systems; always with a mind towards applicable insights and growth
Some skills and tools you'll use are:
Analytics: Statistics, data science, machine learning, data visualization, summary/aggregation methods, operational metric development, ongoing OKR measurement, experimental design, survey design, attribution, data engineering, data storytellingTools: Python / R, SQL, Tableau, Redash,  IDEs (Databricks, Jupyter)Collaboration: Confluence, Jira
More about you:
You've worked with data daily and intimately for 5+ years and have a Bachelor's degree or equivalent years of experience.You have exposure to the HR side of an organization. You like to talk about what makes People Analytics different.You have experience with data science, machine learning, and predictive modeling and the associated statistical foundations.You have experience building end-to-end business-affecting analytic solutions and experience using data to influence operational, people, or human resources teams.You are comfortable combining different data sources together to obtain impactful insights from the data.You can break down technical concepts (like regression) to fit a non-technical partner. You've presented your work to leaders a couple of levels up.You can take an ambiguous assignment and deliver iterative value.You are comfortable using multiple tools and methods to find trends and correlations by mining data, and couple that with light-weight tests to prioritize how to propel through complicated problems.You love collaboration, working with other smart data professionals and acting both as a student and teacher with team members and partners.You've used your analytics skills to influence a major business decision. You can tie a measurable growth back to your own analysis.You can get yourself up to speed with new concepts quickly. You love learning (online courses, blog posts, reaching out to SMEs) and don't wait for instruction.You combine curiosity with critical thinking and judgment, and like asking 'why' to unravel a seemingly complex problem and get to the cause.You can gather, document, and interpret requirements, and always know how to ask the 'why' underpinning all requests.You think about the 'big picture' and can design a solution to support our needs. When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and lead ahead.Data governance, data security, sensitivity are important to you and underpin all aspects of your work.You can collaborate with other data scientists and have business acuity and analytics expertise to push through uncertainty and up-skill those around you.You understand the basics of data engineering and ETL automation enough to write your own SQL and work with pipelines.
More about our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly trying new things. We are a thoroughly collaborative team, who enjoys seeing others succeed, delivery great value, and learn from others.


Senior Data Scientist Central Analytics

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 90 billion 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.

As a senior member of the analytics team, you will deliver re-usable data products for use by executive, operations, partnerships, product, and engineering teams. You will collaborate with data engineers, data scientists, product managers, and operations analysts to develop and drive the data analysis strategy for Chartboost’s data platform. You will create re-usable, and easily maintainable data products, dashboards, design and execute A/B tests. Our data is massive ~4.3PB, with ~100TB ingested daily.
If you’re looking for the rare opportunity to solve complex challenges at scale and impact the ad-tech ecosystem in a meaningful way, you will find this role compelling and rewarding.
Impact you will make:

Deliver analyses and reporting to the leadership team to track achievement and performance of financial targets. Deliver weekly deep-dives on opportunities and gaps in business performance. Empower the leadership to make critical business decisions.
Design and execute A/B tests to compare performance of new features and strategies vs. benchmark. Empower product team to evaluate product performance.
Design and execute analyses to key operational questions to improve yield revenue, and profitability of advertising campaigns. Empower the operations and business teams to prioritize advertisers, and publishers and test operational strategies.
Define, prioritize and deliver analytics roadmap and product features based on business requirements.
Take ownership of the data and visualization strategy for the analytics team.
Mentor junior members of the team

Who you are:

BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
3+ years of experience as a data analyst ideally with 1+ years of experience in digital advertising
Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
Strong written and oral communication skills
Ability to work effectively in a fast-paced environment with changing priorities
Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact

Perks:

The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Director Data Science

ATB Ventures: Building The Future Together.ATB Ventures is the research and innovation arm of ATB Financial. ATB Ventures was started back in 2018, knowing that the convergence of data with powerful emerging technologies such as blockchain, artificial intelligence, and machine learning would pave the way for major disruption and value creation that exceeded the digital transformation of the past 20 years.ATB Ventures is a team of developers, data scientists, product managers, and business operators who having been building emerging solutions from scratch - including Open ATB> Open AI, Open Data, API Sandbox, Oliu (Self-Sovereign Digital ID platform), Proof (Digital credential wallet) and more.ATB - ATB VenturesJob Number: REQ4930Location: Canada (remote)Paygrade: NSystem Title: Leader 9, Data SciencePositions available: 1Leader Name: Nav Dhunay About the role | What we are looking for... ATB Ventures is looking for a Director Data Science to join our Technology team and help build products of the future that leverage data and machine learning in our MVP products. In this role, you will leverage leading edge technologies and enable our talented team of data scientists to bring our ideas to life. You wear many hats with ease and continuously draw on both the breadth and depth of your expertise to experiment and develop meaningful solutions for the customers of tomorrow. You are an analytical thinker and enjoy working with deep tech, microservice architectures, serverless code, cloud-native software, and other cutting edge technologies. You have a deep understanding of fundamental architectural and coding design patterns and principles and evangelize their benefits with the data science team, while rolling up your sleeves to lead by example. Key competencies | What competencies we need in an ideal candidate…  Strategic and systems thinking: You are someone who can design and build scalable systems with the capacity to support growth. You’re an analytical thinker with depth and experience in high impact data science methods and applications. You know how to work on diverse, interdisciplinary teams. You stand by your data - lending insights and providing causes for action.Customer-focused approach to solutions: You possess the ability to distill and abstract complex concepts into simple designs, easily understandable by customers and users.Growth and performance-oriented: You are someone who is focused on adding value, achieving revenue growth, and other outcomes. You don’t shy away from taking charge to get things done.Summary of responsibilities | What you will be responsible for day-to-day... Lead, motivate, mentor, and inspire a team of talented data scientists, data architects and data engineers - create learning and career paths for each of your direct reports. Implement best practices to drive efficient data/ML product development processes that integrate with other teams (e.g. software engineers). Lead team ideation sessions on data and AI based products and initiatives. Design, develop and deploy ML/AI algorithms & work with engineers to apply algorithms to products. Research and analyze data to find deep relations within data to be used in the ML/AI algorithms. Participate in code reviews, pair-programming, and other activities to promote mastery of data science practices. Support deployment of new data management processes and solutions. Work with the team to explore new ideas through experimentation, prototypes and fast feedback. Focus on open standards and open source before seeking a proprietary solution to a problem. Live, breathe, and work in the Cloud. Utilize Scrum and other Agile methodologies to complete tasks and accomplish workflows. As a teammate at ATB Financial, you will agree to uphold our values and Code of Conduct.   Degree in Engineering, Science or related field at an accredited college or university. 5+ years experience in designing and developing data science solutions. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data mining experience including data auditing, aggregation, validation and reconciliation. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Knowledge with Javascript, Node.js, React, Webpack, Babel, and other leading-edge web technologies would be an asset. Self-starter, with the ability to establish OKRs, KPIs, milestones and keep projects on task and strong strategic thinking skills. Work in an agile environment with various stakeholders to iterate on value propositions for product development Bonus points if you’ve built a startup, can demonstrate your unique contributions to open source projects and/or have experience with human interfaces. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are what we are looking for, please consider applying.Interested? If you know one of our team members, BEFORE applying reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please reach out if you require any accommodations.Perks & Benefits | What can ATB Ventures offer you?Create the future: ATB Ventures offers a unique opportunity for creatives, innovators, and engineers alike to invent - and reinvent - how we experience technology. It provides the ability to work on a talented, anti-disciplinary team that rapidly experiments with ideas, products and technologies whilst being immersed in a culture that brings the best of both the banking and start-up worlds. Imagine excellent benefits, banking perks, opportunities for career advancement, and being at the forefront of the future – now you’re talking about a career with an organization and team that enables you to grow.As an award-winning employer-of-choice – we have the best of the best working not only for Albertans, but the world.Learn more about what we’re up to at ATB Ventures


Associate Director Analytics Consulting

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Work directly with client stakeholders to translate business problems into high level analytics solution designs Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution  10-14 years of professional work experience with at least 5 years in data analytics Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Solid understanding of statistical and machine learning algorithms Strong project management and team management skills and ability to work with global teams Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business Analytics or MBA or equivalent work experience Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.


Lead Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team.  You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers.  You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars:   DIGITAL ANALYTICS:  Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion.  EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations.  Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs.   RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance.  Productization: Maintain code which can be productise and packaged as python packages in any cloud environment.  Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production.  5+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).  Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders.  Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.  Strong data querying skills (SQL) and experience with a OOPs framework language (Python).  Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development.  Great teammate who enjoys collaborating with others.  BENEFICIAL BUT NOT REQUIRED  Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc 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. #LI-remote


Senior Data Scientist Canada

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


Sr Director Data Science And Analytics

Webflow is a visual web development platform that empowers non-coders to create incredible experiences for the web. At Webflow, we are reinventing the way people build things online. With less than one-half of one percent of the world’s population able to write code directly, we’re on a mission to empower everyone to create for the web – and leading impactful, fulfilling lives while we do it. Since our founding, Webflow has amassed over 3.5 million active users, extended well beyond $100 million in annual recurring revenue, secured partnerships with top-tier investors including Accel, CaptalG, and Y Combinator, and built a diverse team of more than 500 distributed around the globe. We’re actively growing and are adding new team members in all departments who are excited about our vision to build the world’s most powerful no-code development platform.
We’re looking for a Sr Director, Data Science and Analytics to help us grow and evolve our centralized Data Science and Analytics team.  The team works closely with strategic teams across Webflow; help to understand the complex questions facing the business and use data to guide strategic decisions. Our data informs us of how well we are progressing on our mission to empower people to build software visually. This team develops our connected understanding of capabilities and customer experience, promoting a centralized source of truth and building stakeholder partnerships to improve data literacy and inform Webflow’s strategy. The team creates data science and analytics and frameworks that provide scalable, accurate, and accessible information for anyone in the company to consume so we can make data informed decisions, track progress towards our goals, experiment and innovate with our product. As our data and organization matures, we are looking for a leader who can balance ownership of a strong, reliable data foundation with an eye for opportunity, setting a strategic vision that will scale our data capabilities to improve our product for our customers.
About the role

Location: SF-HQ or US Remote
Full-time
Exempt

As a Sr Director, Data Science and Analytics you’ll …

Lead Webflow’s Data team, comprised of data scientists, data analysts, and analytics engineers, to shape a data literate culture
Empower stakeholders to make data-informed decisions and roadmaps; align data partnerships within Webflow, guiding stakeholders with analysis and quantitative research and improving data literacy
Provide clear understanding of business drivers across teams including sales, marketing, product, and finance unlocking opportunities for growth and development
Define KPIs and metrics that map closely to business levers
Expand team strategy, identifying and executing high value data science and analytics opportunities where data can help drive Webflow’s mission and improve customer experience.
Strengthen data foundation, working cross-functionally to manage and evolve data architecture with business needs
Engage stakeholders at all levels of the organization, presenting data strategy to Sr Leadership, Investors and Board
Focus the data team on a high-value roadmap, balancing competing requests and high priority investigations with long term vision.

That said, these responsibilities are just the start! At Webflow, we encourage you to contribute wherever your interests take you — and shape your role accordingly.
About you
You’ll thrive as Sr. Director, Data Science and Analytics if you have:

Successfully attracted, developed, retained, and led high performing, cross-functional data teams at scale with 4+ years of experience managing data analysts, scientists, and/or engineers
A passion for and track record of leveraging data to understand and drive impact, especially in a SaaS environment
Ability to drive operational improvement across data science & analytics excellence, balancing creativity with measurable outcomes that align with the needs of a dynamic organization
Strong understanding of the modern data stack and a track record of scaling data products to match organizational needs. We use fivetran/snowflake/dbt/tableau and are exploring adding machine learning pipelines, improving BI solutions and working with data engineering on new near-real time streaming pipelines.
Experience identifying and prioritizing business needs, scoping business questions into well formed data projects.
Ability to write complex and performant SQL queries to extract data and coach teams in analyzing complex data sets
Experience navigating stages of data maturity, from building a reliable source of truth to leveraging machine learning to drive decisions at scale.
Ability to collaborate with and brief senior leaders with a wide range of technical understanding of data intelligence and data science
Identified ability to create data-driven business decisions
Ability to influence paired with strong stakeholder engagement skills that span both up and downstream
A track record in applying advanced analytics solutions to solve real-world business problems
Strong communication and presentation skills, including the ability to interact with and communicate with all level of employees and partners, and present information and recommendations to Sr Leadership, Investors and Board
Collaborative leadership, professional focus, and drive, comfortable directing the work of others and championing change
Ability to juggle competing priorities and maintain the team’s focus on high-value deliverables

Added bonus (but not required):

Proficiency in at least one programming language (Python, R, Java, Scala, Rust, Go or C/C++
Extensive experience with a cloud platform (e.g. AWS, GCP, Azure)
Experience with big data technologies like Spark & Kafka
Experience working with Docker, Kubernetes, CI/CD pipeline

If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
About us
At Webflow, we believe that what we’re doing doesn’t define our success -- so we focus on our “why” and “how”:
Our Mission
To empower everyone to create for the web — and lead impactful, fulfilling lives while we do it.
Our core behaviors (how we act)

Earn customer trust
Get it done, do it right
Practice candor with care
Dream big, ship often

Our commitments to you

We’ll pay you! This is a full-time, salaried position that includes equity
We’ll invest in your physical and mental well-being with health, dental, and vision benefits and a monthly stipend for health and wellness expenses
We’ll pay you to take a vacation … seriously. We’ll give you a $1,000 bonus for taking your first vacation with us that is more than 5 days
We offer flexible parental leave
We provide remote employees with the equipment they need to create a great remote work environment
We will offer you the support you need to help you grow as an impactful Sr. Director, Data Science and a human being

Ready to apply?
If you share our values and enthusiasm for empowering the world, we’d love to review your application! We promise we do take the time and care to review every application we receive. However, as much as we wish we could interview everyone who submits an application, we cannot guarantee an interview or feedback due to the unprecedented volume of applications we are receiving today. We are rooting for you, and hope you do consider applying.
Note: To join Webflow, you'll need valid U.S. or Canadian work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow requires all new employees to submit proof of their COVID-19 vaccination status as a condition of their employment.  As such, your failure to timely provide such information, upon Webflow's request, may result in the revocation of your offer or the termination of your employment with Webflow, as applicable.
At this time, Webflow does not require fully remote employees to be vaccinated against COVID-19.  However, you must be fully vaccinated against COVID-19 and provide proof of vaccination to work out of any Webflow office, visit an office, or attend any in person work events, including company off-sites, company sponsored social gatherings, and meetings.  As such, at this time, we will only consider individuals who are fully vaccinated against COVID-19 for roles which require any in person work.  If, due to the nature of your role, you are at any time during your employment required to work in person, but you are not fully vaccinated against COVID-19, subject to applicable regulations, your employment may be terminated.
We are committed to maintaining a safe and inclusive workplace, and our vaccination policy will evolve in response to the changing risks and regulations associated with COVID-19.


Data Scientist

About Us
KeyMe is revolutionizing lockout solutions for homes, cars and businesses. Via artificial intelligence and robotics, KeyMe allows users to store, share, and duplicate their physical keys and RFID cards. Fully automated self-service key duplicating kiosks can be found in over 4,000+ locations across the country in major retailers such as Bed Bath & Beyond, Kroger, Rite Aid, 7-Eleven, Menards, AutoZone, and many others.
Additionally, KeyMe offers customers a one-stop solution for all their locksmith needs ranging from lockouts and re-keys to complex installations and custom jobs.  All KeyMe locksmiths have extensive experience and are fully vetted to ensure our customers receive the utmost quality experience. With upfront set pricing, customers know they will never be confronted with last minute charges. KeyMe’s smart routing gives customers the ability to monitor their Locksmith’s arrival, job progress, and receive instant receipts. KeyMe is providing unrivaled service quality, prices, and customer experience into the $12B/yr locksmith industry.
KeyMe is an exciting, well-funded (over $150M raised to date), tech company that is solving real consumer pain points. KeyMe is proud to have an open, collaborative and relaxed atmosphere where bright professionals work hard and enjoy what they do. With the added benefit of a friendly, flexible and creative working culture, you’ll be joining a forward-thinking, expanding team to continue opening doors for our customers.
We’re committed to providing a diverse, equitable and inclusive workplace where team members from all backgrounds, ethnicities, cultures, and experiences feel welcome and thrive. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.
About the Role
The Data Scientist will join our growing Data & Analytics team to build models and conduct analysis across all of KeyMe’s business components, including senior leadership, operations, sales, and product development. The candidate will report directly to our Head of Analytics and work with our CEO, CFO and other senior leaders to improve access to accurate and actionable data insights.

What You’ll Be Doing

Building production quality machine learning models
Conducting ad-hoc analysis for executive leadership
Performing exploratory analysis to understand relationships and opportunities to improve business outcomes
Reviewing and improving models currently being generated and deployed in production
AB testing kiosk product enhancements
Refining our ELT processes
Building dashboards and reports

How We Know You Can Do It

2-4 years of experience as a practicing Data Scientist or Data/Analytics Engineer
B.S., M.S. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field
Good problem decomposition skills and autonomy when faced with solving data problems
Must have experience accessing and manipulating data using SQL and programming languages like Python and/or R
Experience deploying code and maintaining models through production lifecycles
Experience using version control to work collaboratively with others
Understanding of different statistical and modeling methods, how they work and when they should be leveraged
Ability to quickly iterate over common feature transformation and model types in order to build the best predictive models
Experience presenting complex analytical topics and findings to executive and non-technical stakeholders
Experience with analytics and business intelligence reporting (PowerBI, Tableau, etc)
Able to work independently and efficiently in order to meet organization goals
Extreme attention to detail
Must be able to multi-task and thrive in a fast paced environment
Proven ability to work effectively within a cross-departmental team

What You’ll Get

Compensation package that includes salary and stock options
Health, dental, and vision insurance
Remote budget to set up your home office
401K plan with match
Flexible PTO Policy
Flexible Spending Account (FSA)
Health Savings Account (HSA)


Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and local businesses around the globe, from a user reviewing a neighborhood coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners, and the general public.

The Data Science team performs analyses, builds models, and designs experiments that directly impact Yelp’s business and users. Our centralized team is the most wide-ranging consumer of data at Yelp, adept at tasks from modeling content growth and user behavior to sharing insights about the health of local economies. With varied backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity requires you to be located in the United Kingdom.

We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

Where You Come In:

Define and build key metrics to track Yelp’s performance and inform product decisions.
Assess and frame questions from partners into actionable deliverables.
Design, execute, and analyze complex experiments impacting millions of users.
Devise and evaluate predictive as well as causal models for diverse business needs, such as identifying growth opportunities, exploring drivers of retention, and predicting what drives success at Yelp for businesses.
Own analyses from start to finish and communicate key insights to stakeholders.
Share your technical skills to develop and maintain high-quality, reusable analysis tools.

What It Takes to Succeed:

Several years of experience as a data scientist and industry experience in a quantitative role.
Fluency with SQL and Python for data analysis.
Enthusiasm for clean code and sharing reproducible results.
Solid understanding of statistical inference, experimental design, and analysis.
An eye for great data explorations using advanced statistical tools to draw meaningful insights.
Experience developing predictive models using statistical techniques.
Knowledge of causal model building, inference, and analysis.
Communication skills to work with partners on product, engineering, and other data science teams.

What You'll Get:

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
£150 monthly reimbursement to help cover remote working expenses.
£75 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
£56 per month to use toward qualifying wellness expenses.
Quarterly team offsites.

#LI-Remote

Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Data Scientist M F D

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and local businesses around the globe, from a user reviewing a neighborhood coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners, and the general public.

The Data Science team performs analyses, builds models, and designs experiments that directly impact Yelp’s business and users. Our centralized team is the most wide-ranging consumer of data at Yelp, adept at tasks from modeling content growth and user behavior to sharing insights about the health of local economies. With varied backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity has the option to be fully remote throughout Germany.

We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

Where You Come In:

Define and build key metrics to track Yelp’s performance and inform product decisions.
Assess and frame questions from partners into actionable deliverables.
Design, execute, and analyze complex experiments impacting millions of users.
Devise and evaluate predictive as well as causal models for diverse business needs, such as identifying growth opportunities, exploring drivers of retention, and predicting what drives success at Yelp for businesses.
Own analyses from start to finish and communicate key insights to stakeholders.
Share your technical skills to develop and maintain high-quality, reusable analysis tools.

What It Takes to Succeed:

Several years of experience as a data scientist and industry experience in a quantitative role.
Fluency with SQL and Python for data analysis.
Enthusiasm for clean code and sharing reproducible results.
Solid understanding of statistical inference, experimental design, and analysis.
An eye for great data explorations using advanced statistical tools to draw meaningful insights.
Experience developing predictive models using statistical techniques.
Knowledge of causal model building, inference, and analysis.
Communication skills to work with partners on product, engineering, and other data science teams.

What You'll Get:

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
30 days paid vacation per year plus one floating holiday.
€150 monthly reimbursement to help cover remote working expenses.
€89 caregiver reimbursement to support dependent care for families.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
Complementary elective German lessons for international employees.
€67 per month to use toward qualifying wellness expenses.
Quarterly team offsites.

#LI-Remote

Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Staff Data Scientist Feeds Ranking Analytics

Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are excited to open a new Data Scientist role within our Feeds Ranking Team! This team builds the experience of Reddit Feeds, by building and improving the systems that decide what content each user gets to see when they land in Reddit.
As the Staff Data Scientist embedded on the team, you will define the product strategy through measurement design, experimentation and causal analyses and support product decisions that will keep making Reddit the best place to hang out online.
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help drive community growth and discovery, and user participation and engagement.
Responsibilities:

Help build the long term product vision and strategy for the ranking and personalization function.
Become the expert at understanding how our recommendation systems work, and what their effects and outcomes on business metrics and the ecosystem of communities is.
Build out ML capabilities, features and offline models.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product feature experiments to understand the effectiveness of product strategy
Work cross functionally with a variety of teams that feeds ranking serves.
Scale your work through reproducibility to make it extensible to newer personalization problems

Required Qualifications:

Have proven experience in quantitative or data science, or product analytics roles (6 or more years)
Have worked with teams leveraging Machine Learning for ranking or related roles
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have a strong customer and business focus
Entrepreneurial and self-directed
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems

Benefits:

Annual Personal & Professional development funds
401k Matching Plan
Flexible PTO
Paid holidays + Wellness days

#LI-Remote #LI-NH1


Senior Actuarial Analyst PC

We’re looking for a senior-level actuarial analyst with a passion for data and insurance.
In this role, you’ll be managing rate levels, building advanced pricing tools, and bringing actuarial discipline to all kinds of questions — from distribution to underwriting, claims, and everything in between. You’ll also leverage competitive data and data science to optimize our customers’ experience and ensure fairness and accuracy in pricing.
In this role you’ll
Become an owner and expert on our insurance state rating plans and rate indications
Contribute to predictive modeling projects while working closely with the Data Science team
Craft rate filing support for new machine learning models
Identify areas for pricing and underwriting action based on ongoing monitoring of results
Build a knowledge base of competitor rating strategies and the overall competitive landscape
Further your own actuarial education through CAS exams and industry research while applying those learnings on the job
What you’ll need
3 years of P&C actuarial experience; near ACAS or greater preferred
Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related degree
General knowledge of data science programming languages such as R or Python (preferred), and proficiency in database query tools such as SQL
Familiarity with predictive modeling concepts, including supervised and unsupervised machine-learning approaches (GLMs, decision trees, gradient boosting machines, random forests, clustering, etc.)
Sensitivity to model transparency/ethics