Senior Data Scientist

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.Job Description:
Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

Reporting to the AVP, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value.  The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Sun Life views success in this role in demonstration of these key attributes:
Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems.  The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What will you do?

Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.
Be able to work in cross functional teams to develop an ML/data science product
Be able to break down broader data science development milestones into smaller goals, activities, and a work plan
Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.
Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling
Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model.  Advise junior members on the same.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders
An active contributing member to the analytics community to help foster and grow the data science community at Sun Life
Champion and support diversity and inclusion

What will you need to succeed?

BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
Proficient in using one or more statistical programming languages (i.e., Python) for data science
Experience with AWS services including SageMaker
Experience with machine learning including supervised and unsupervised models
Demonstrated experience in data transformation & data manipulation
Experience working with Structured vs. Unstructured data
Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Ability to document work and effectively prioritize documentation
Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

What will be nice to have?

Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
Past experience working in Agile delivery model
Past experience in developing and deploying production grade model in cloud infrastructure

Unique Requirements

The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

What's in it for you?

Remote/ Hybrid Work environment
Competitive salary and bonus structure influenced by market range data
20 days vacation per year and an innovative sabbatical program
A friendly, collaborative and inclusive culture
Being part of our Analytics community, where we share best practices and broaden skill-sets
Flexible Benefits from the day you join to meet the needs of you and your family
Pension, stock and savings programs to help build and enhance your future financial security
Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

The Base Pay range is for the primary location for which the job is posted.  It may vary depending on the work location of the successful candidate or other factors.  In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance.  Certain sales focused roles have sales incentive plans based on individual or group sales results. Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.Salary Range:80,000/80 000 - 130,400/130 400Job Category:Advanced AnalyticsPosting End Date:28/05/2023


Senior Data Scientist Enterprise

About the Team
Since Opendoor first started operating in 2014, we’ve learned a lot about buying, managing, and selling real estate. The Enterprise business unit with Opendoor aims to share our learnings by offering our technology and processes to institutional single-family-home investment partners. The Enterprise team is building a modern platform for transactions, offering a wide range of services such as brokerage and title.
As the first Senior Data Scientist at Opendoor Enterprise Analytics team, you will work on projects that help the future of our Operations, Product, Engineering Design teams – to drive our business forward with recommendations you uncover through data. You will own analytics and models for one of Opendoor Enterprise’s fulfillment products and partner with stakeholders to help shape its direction. The Senior Data Scientist will contribute individual analytics and modeling work, as well as coaching and up leveling the technical bar of the team.
Role Responsibilities:

Build and evolve statistical and machine learning models (e.g. conversion, forecasting, staffing, text mining) that drive business impact
Partner with stakeholders across leadership to improve business outcomes by monitoring business health, planning and executing AB and Quasi experiments, and making data-driven recommendations to help Opendoor Enterprise product and platform scale.
Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
Produce convincing structural, causal and data-driven analyses to falsify ideas or move them forward
Collaborate with Engineering and Product teams to build long-term learning agendas
Clearly and concisely articulate the business impact of your work
Work pragmatically at a high cadence to ship modeling and analytical opportunities, such that we generate high learning throughput

Skills Needed:

Expertise in statistical inference, study design and machine learning modeling
Proficiency in working with complex and fast-evolving data sets
5+ years of industry experience post academia, with advanced degree in a quantitative field
Proficiency in numeric programming (Python and/or R) as well as SQL or any other database languages
Desire to identify, perform, and automate repetitive work to scale the team
System thinking and creativity to solve complex problems by going deep and understand its core drivers

Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations

Bonus Points if:

Proficiency in a relevant modeling or statistics specialization, such as macroeconomic modeling, optimization or causal inference, data engineering
Mentoring: Experience guiding and mentoring other members of the data analytic team
Ability to quickly (1-2 weeks) build proofs of concept and identify the highest-leverage areas to iterate efficiently

Location:
Remote roles in the US are available in all states EXCEPT Hawaii, Alaska, Montana, or any US Territories.
Compensation:
The base salary range for this position in Colorado, Connecticut, Washington, and New Jersey is $$164,000 - $253,000 yr., and in California and New York City is $164,000 - $253,000 yr. Base salary may vary depending on relevant experience, skills, geographic location, and business needs. We offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/
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More About Us
To learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.

We Offer the Following Benefits and Perks
• Full medical, dental, and vision with optional 85% coverage for dependents
• Flexible vacation policy
• Generous parental leave
• Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.


Data Science Manager

Data Science Manager
SF, NY, Toronto, Portland, or remote in US/Canada
Full-time
Mercury
In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.
We’re looking for a Data Science Manager who can help us build, support, and develop the team building our analytics engine.
In this role, you’ll be responsible for a team of 5-7 data scientists embedded across product teams, and will critically influence how we invest in and build Mercury’s future. You’ll be early in building a data-informed culture across Mercury so that stakeholders across the company can determine what’s happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:
Build, manage, and develop a team of 5-7 data scientists to help Mercury make better business banking* and product decisions informed by data.Influence analytics culture and rigor across our Core Products (dashboard, cards, etc) by working with different levels, from executives to individual product and operations teams, ranging from deriving insights of our core products to advanced statistical methods for risk and credit underwriting.
You should:
Have 4+ years of experience in a quantitative role, including 1+ years managing a team of quantitative experts (e.g. data scientists, product analysts, machine learning engineers, or financial mathematicians).Be able to partner with business leaders and GMs to ensure that they and their teams have the tools, reporting, and support to consistently make the best data-informed decisions. Proactively provide advanced analytics and insights to leaders that stakeholders may not be seeing.Be opinionated on the ways to most effectively use data to make business and product decisions.Strong knowledge and hands-on experience with data science, machine learning, statistics, financial calculations, or experimentation for commercial applications.
*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust®; Members FDIC.
Our salary ranges are based on paying competitively for our size and industry, and all employees receive salary + equity + benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
The ranges shared are for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced or more senior than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
The salary range for candidates in the US  is $205,000–$250,000.
The salary range for candidates in Canada is CAD 182,000–228,000.
Apply NowWhy work at Mercury


Senior Data Scientist

When passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. That’s the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!
Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
About the Role
The Data Science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Senior Data Scientist, you will use rigorous quantitative methods to deliver value to the customers and enable data-driven product development. This would be an outstanding fit for an individual who is hands-on, has the ability to work autonomously, and can drive technical efforts building robust AI/ML solutions. If you love to apply your data science skills against massive interconnected datasets with immediate business impact, then this will be the role for you.
What Will You Do

Technically lead AI/ML initiatives with other data scientists through the design, development, and deployment phases of ML oriented product features.
Follow data science methodologies around model selection, training data set sampling strategy, model validation and monitoring.
Develop the technical skills of junior team members by providing hands-on reviews and mentorship.
Partner with the Data Science Infrastructure team through every stage of ML workflow including data ingestion, model building, and model ops.
Collaborate actively with Product Management, Engineering and UX to measure the impact of product launches, including validating behavior tracking, defining success metrics, aligning on experimental approaches and communicating metrics impact.

What Skills You Posses

8+ years of Data Science experience for software products, e.g. networking software, online shopping, financial services etc..
Masters/PhD in Statistics, Operations Research, Applied Mathematics, Computer Science, or a quantitative field preferred
Demonstrated leadership in delivering on high visibility projects with minimal oversight.
Proficiency with Python (or R), SQL, Statistical modeling, AWS tools.
Strong written and oral presentation skills. Able to communicate complex concepts to a variety of audiences

Bonus Points For:

2+ years of data mining experience of large datasets.
1+ years of experience in the Networking industry

We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.
At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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Senior Data Scientist

Job Summary
Who we are
Comcast brings together the best in media and technology to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Enterprise Business Intelligence (EBI) is a multidisciplinary group that owns the lifecycle of data to support cable goals.  EBI consists of data engineers who democratize data, visualization experts who build reports, and data analytics subject matter experts that turn data into insights for the business.  The Data Science team within EBI builds the end-to-end systems and tools that democratizes machine learning to meet the needs of business by partnering with key internal and external stakeholders.

Job Summary
The Data Scientist is responsible for supporting data science projects from idea generation, stakeholder management, modeling and deployment.  A Data Scientist is expected to be a trusted partner to the business and create models with actionable results.

Who does the data scientist work with?
The data science team is composed of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis.  Data Scientists work with internal EBI teams  as well as leads in the marketing, base management, customer experience, network engineering and finance departments.

What are some interesting problems the data scientist will solve?
Data Scientists in EBI work on a wide variety of interesting business questions from subscriber and prospect propensity models, customer segmentation, and real-time decisioning.

Where can you make an Impact?
Success in this role requires a wide range of skills including: technical acumen, stakeholder management, product ownership and collaborative problem solving.
Job Description
Core Responsibilities
Own all or part of the data science solution process:
Resourcing – Work with the Project Management Organization to clearly define project timelines and resources.  Manage timelines, identify implications and impacts to leadership.Feature Selection – Partner with EBI Data Stewardship team to define proper data sources for feature selection.  Engage the engineering teams to ingest new datasets that are useful for modeling.Solution Development – Use expert knowledge of data science and machine learning to create the best method to solve the business problem.  Fit an accurate and actionable solution.  Ability to simplify the data science story.Validation – Validate the solution and defend that solution in front of your peers.  Explain model validation to a non-technical audience.UAT Testing – Work with the Machine Learning Operations (MLOps) team and stakeholders to perform user acceptance testing of the model.  Help determine if the data science solution is solving the business problem.Deployment and Feedback Loop – Work with MLOps team to set up deployment, DQ and monitoring of solutions.
#EBICareers
Core Competencies – Some or all of the following
Data Science and Machine Learning:
Regression (Linear, Logistic, stepwise, etc)Regularization (Ridge Regression, LASSO, Elastic Net)Instance-base algorithms (kNN, Support Vector Machines, etc)Decision Trees (CART, CHAID, etc)Bayesian Algorithms (Naïve, Bayesian Network)Clustering (k-Means, Hierarchical)Neural NetworksDeep LearningDimensionality Reduction (Principal Components)Ensemble algorithms (XGBoost, Random Forest, etc)
Data and Tools:
PythonSQL w/ strong pysparkDatabricksGitDistributed/cloud computing (AWS familiarity or similar)Notebook computing (Jupyter)Data lakes (minio, S3)Data formats (parquet, delta)AutoMLStreaming data sourcesBatch processingREST APIs
Preferred Education Level
Master's degree or higher in Computer Science, Engineering, Operations Research or other quantitative field.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.
Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is proud to be an equal opportunity workplace.  We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law.

Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.


Principal Data Scientist Cnet Group

We are seeking a highly skilled Principal Data Scientist with expertise focused on the latest techniques in causal inference and experience applying those within a marketing setting. The ideal candidate will have extensive experience working with large and complex datasets to generate performance and attribution models. They will be responsible for developing and implementing cutting-edge causal inference techniques to help drive business decisions and optimize marketing strategies.
What You'll Do:

Develop and implement state-of-the-art causal inference techniques to measure the impact of marketing campaigns on business outcomes.
Analyze large and complex datasets to identify causal relationships between marketing campaigns and business outcomes.
Build and deploy machine learning models to optimize marketing strategies and improve business outcomes.
Work closely with cross-functional teams including marketing, product, and analytics to develop insights and recommendations based on data analysis.
Communicate findings and insights to key stakeholders through clear and compelling data visualizations and presentations.
Collaborate with data engineers to develop and maintain data pipelines and infrastructure necessary for data analysis and model deployment.
Stay up-to-date with the latest advancements in causal inference techniques and contribute to the development of new methodologies and/or tooling to optimize and drive performance.

What We're Looking For:

A PhD,  Masters, or equivalent years of experience in a quantitative field such as statistics, mathematics, computer science, economics or related field.
Extensive experience with various causal inference methods such as double/debiased machine learning, instrumental variables, and synthetic control methods.
Proven experience applying causal inference techniques in a marketing setting.
Strong proficiency in machine learning techniques and programming languages such as Python or R.
Experience deploying ML models using APIs
Strong communication skills and ability to communicate complex data insights to non-technical stakeholders.
Ability to work independently and as part of a cross-functional team in a fast-paced and dynamic environment.
Strong problem-solving skills and ability to think creatively to identify new opportunities for business growth.
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them

Compensation:

Cash Compensation Range: $200,000- $250,000*Note actual salary is based on geographic location, qualifications, and experience.
This position is not eligible for visa sponsorship.

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linked here.
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Staff Data Scientist New Initiatives

Role Description

How many times you get an opportunity to be at the ground floor on a very big and important mission?  What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission?  As a Staff Data Scientist for this new division, you will exactly get to do that.  You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this staff DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution!

Responsibilities

You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach

You will partner closely with leadership across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and Research

You will have the seat at the table for every key decision for AI-first strategies

You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growth

You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale

You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps

You will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques

Requirements

Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company

5+ years serving as a AI/ML technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact

Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap

Ability to analyze large datasets and have first-hand experiences of owning ML models from A to Z including data collection to deploying the models in the production environment, with a track record of driving directly measurable product or business impact.

Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment design

Previous experiences coaching and mentoring Jr data scientists to scale the team productivity

Total Rewards

For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $210,800 - $248,000 - $285,200.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $189,700 - $223,200 - $256,700.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $168,600 - $198,400 - $228,200.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).


Data Scientist Statistician

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:
Our Advanced Analytics & Intelligent Automation team members help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.
What You Will Need:
Ability to obtain a Public Trust clearance.
2+ years of professional experience.
B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Data Science, Data Analytics, or similar quantitative/computational discipline.
Strong understanding of statistical topics such as: linear regression, multivariate regression, logistic regression, time-series analysis, statistical sampling, hypothesis testing, clustering, classification, other machine learning topics, simulation.
Experience in performing statistical analysis and modeling using Python or R.
Proficiency in querying data using SQL.
Proficiency in handling and analyzing data using Excel/Access.
Experience in developing visualizations/dashboards in Tableau/PowerBI/Qlik.
Ability to determine and apply the appropriate analytical methods.
Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members.
What Would Be Nice To Have:
Active Public Trust or Secret Clearance
M.S./M.A. in Statistics, Data Science or other field with concentration in statistical methods.
Prior Federal Government experience, preferably in financial management/accounting role.
Additional Requirements:
The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.
Selected Candidate must be able to work Eastern Standard Hours.
This is an exempt level role that may require more than 40 hours of work per week.
The annual salary range for this position is $72,700.00-$130,900.00.  Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


Staff Data Scientist

About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a large company, our growing business is looking for data scientists to join us in revolutionizing retail.
About the Role
This role is for the Growth Algorithms team. We focus on optimizing the experience of prospective and new clients as well as reengaging our existing clients. This role is focused on existing client re-engagement and we are looking for a thought leader to consolidate our existing efforts in this space and work closely with cross functional partners to expand. This role will have a large scope across traditional marketing channels (Email, Facebook, etc.) as well as integrations with the Stitch Fix core product (e.g., Homefeed). The Growth Algorithms team generates personalized content tailored to client preference, and selects targeted tactics to drive client engagement. Cross-functional collaboration is deeply meaningful to us and is how we’ve built up immense trust with our partners in Marketing, Product, Strategy, and Engineering. You'll have the opportunity to bring your ideas to life by building on a foundation of strong business support, clear vision, engaged internal users, and bright, kind teammates.
You're excited about this opportunity because you will…

Have access to a wealth of unique data and best-in-class algorithms, providing a solid foundation to build on
Own full life-cycle model creation and deployment
Be a data steward, ensuring that our raw inputs, intermediate results, and finished data products are accessible and useful in perpetuity
Holistically understand ambiguous business problems and frame appropriate work streams
Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems
Be empowered to take initiative and follow your innate curiosity

We’re excited about you because…

Have 3+ years of experience working with cross-functional partners to develop and push forward strategies that impact multiple projects.
Have 6+ years of applied data science experience, e.g. not just fitting a model but being held accountable for creating business value.
Have an expertise in Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, Computer Science, or another quantitative field.
Have strong software engineering and design skills and can work within a shared (Python) code base.
Have experience applying data analysis, machine learning, or statistical modeling to real world applications.
Like a good challenge and are driven to make a tangible business impact.

Why you'll love working at Stitch Fix...

We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
We cultivate a community of diverse perspectives— all voices are heard and valued.
We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
We boldly create the future while keeping equity and sustainability at the center of all that we do.
We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
We offer comprehensive compensation packages and inclusive health and wellness benefits.

About Stitch Fix
We're changing the industry and bringing personal styling to every body. We believe in a service and a workplace where you can show up as your best, most authentic self. The Stitch Fix experience is not merely curated—it’s truly personalized to each client we style. We are changing the way people find what they love. We’re disrupting the future of retail with the precision of data science by combining it with human instinct to find pieces that fit our client’s unique style. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. This results in a simple, yet powerful offering to our customers and a successful, growing business serving millions of men, women and kids throughout the US and UK. We believe we are only scratching the surface and are looking for incredible people like you to help us boldly create our future.


Senior Staff Data Scientist

The role
The Marketing Data Science team is looking to add a Senior Staff Data Scientist who will help shape Credit Card targeting decisions and strategy.. The Senior Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Credit Card into a top choice for consumers to “Get Your Money Right”.
You will be subject matter expert on Credit Card Pre-screening/Pre-approval acquisition strategy; credit bureau data; consumer profile and behavior; revenue economics; optimizing onboarding experience; and our internal customer performance and marketing datasets.  You will also contribute to building audience segmentation, models and solutions that spans across acquisition, attribution, forecasting, and budget allocation across our marketing channels.
What you’ll do:

Develop a holistic Credit Card pre-screen/pre-approval marketing and offer strategy spanning across multiple channels; and developed in partnership with cross-functional teams
Develop an end-to-end offer strategy framework to constantly experiment and optimize offer construct, product preference, and audience selection spanning across credit card products.
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Establish and maintain a framework for measuring impact of targeting, segmentation and offer strategy on business outcome such as acquisitions, consumer profile, post acquisition performance, and revenue economics
Should be able to work with ambiguity and have strong problem solving skills when determining offer performance
Work with cross functional stakeholders across Marketing, Business Unit, Risk, Finance, Product and Engineering to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Support partners with ad hoc analysis requests that come up during normal course of  business
Synthesize data into succinct presentations that influence senior management decision making
Own comprehensive daily, weekly, monthly reporting of all member engagement KPIs & build the right dashboards to track and communicate performance
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

What you’ll need:

Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
8+ years of relevant work experience in credit card growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns
Industry experience in Credit Card is a must and Marketing Analytics highly desired
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with using Airflow to build Data Pipelines in Snowflake
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills


Senior Manager Data Science Credit Card Marketing

The Role
The Marketing Data Science (MDS) team is looking to add a Senior Manager who will help shape Credit Card targeting decisions and strategy. The Senior Manager will be working closely with cross functional teams such as Marketing, Business Units, Compliance, Product & Finance Partners to build and grow SoFi Credit Card into a top choice for consumers to “Get Your Money Right”.
You will be subject matter expert on Credit Card Acquisitions Strategy and have demonstrated experience in Pre-screening/Pre-approval acquisition strategy; credit bureau data; consumer profile and behavior; revenue economics; optimizing onboarding experience; and our internal customer performance and marketing datasets.  You will also contribute to building audience segmentation, models and solutions that spans across acquisition, attribution, forecasting, and budget allocation across our marketing channels.

What you’ll do:

Build and lead a high performing team of data scientist and institute a data-driven culture for targeted acquisition growth in Credit Card
Be a trusted advisor to our credit card marketing team and leadership on what drives marketing performance, and provide guidance on how to accelerate our growth and impact on SoFi’s long-term plan
Define and execute on a vision for the MDS CC analytics team, making the difficult tradeoffs necessary to ensure on-time deliverables and high-quality work product where it will have the highest impact
Drive the evolution of SoFi’s Credit Card acquisition strategy, including pre-screen/pre-approval marketing/offer strategy, profitable product growth, segmentation strategy and audience optimization; spanning across multiple channels; and developed in partnership with cross-functional teams
Lead analytical efforts in an unstructured environment to identify key insight that can impact efficiency and scalability of credit card acquisitions across the marketing team, including direct mail, digital, addressable/broadcast TV, and Brand
Own end-to-end Credit Card acquisition strategy, experimentation and roadmap; and manage regulatory, compliance and audit alignment associated with Credit Card marketing
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Work with cross functional stakeholders across Marketing, Business Unit, Risk, Finance, Product and Engineering to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Synthesize data into succinct presentations that influence senior management decision making
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

What you’ll need:

At least 3+ years in people leadership and management experience
10+ years of professional experience in business analytics (consulting to external clients and/or internal business partners), with a focus on credit card marketing, risk, business operations, or strategy
Deep expertise in Credit Card Industry, product economics and Marketing strategy is highly desired
Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
Ability to coach analysts to translate data into actionable business recommendations and distill findings in a way that non-technical and non-marketing teammates will understand
Proven ability to prioritize between the short-term demands and long-term needs of credit card portfolio
Track record of delivering impact. Can both develop but also help implement solutions to ambitious problems
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills


Senior Manager Data Science Science And Machine Learning

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We’re looking for a Senior Data Science Manager that will help in changing the way ads have been delivered over the last 20 years, breaking models, assumptions and thinking innovatively about protecting Pinner experience while generating revenue. The team is responsible for supporting all the surfaces in the Pinterest app – Home Feed, Search, Related Pins, Shopping Surfaces, Idea Streams etc. Each of them brings its own complexity and challenges which will provide exposure to a wide variety of data science problems to solve. This person would work with world class data science and ML talent in building the next generation advertising products and become a leader of leaders, developing a best in-class team of technical data scientists.
What will this person do?
Build, inspire and grow a high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space Working with product and engineering partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Help improve the measurements, metrics and decision making framework for improvements to our ads quality stack. Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner. Continuously research and stay up-to-date with the latest developments in data science, causal inference, and advertising technology to drive innovation within the Ads Team. Be a champion for building a highly talented and diverse team with an inclusive culture.
What we’re looking for:
MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc. Data Scientist, ML engineer or SWE in Digital Ads  6+ years of experience as a data scientist, algorithmic engineering, or machine learning 3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company Experience with related technical areas:  Statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL) Data science models (Regression, Decision Trees, K-Means, etc.) Experience with large data sets and analytical tools, e.g. Hive, Spark  Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills. Experience with hypothesis driven product development.
This position is not eligible for relocation assistance.
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.


Data Scientist I Oscar Modularization

Hi, we're Oscar. We're hiring a Data Scientist I to join our Product Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
+Oscar is Oscar's software platform and Campaign Builder is a tool that providers, payers, and partners use to engage with their members and customers. The Data Scientist I, Product Analytics will play a critical role in developing the data pipeline management and reporting infrastructure for +Oscar Campaign Builder clients. Additionally, they'll partner with the Customer Success function to conduct outcomes analytics and reporting based on client needs and interest.
Campaign Builder is an engagement and automation platform that enables scalable, personalized interventions and automates workflows to drive growth, manage risk, and optimize admin operations. Built for non-technical users, risk bearing entities can use the tool to build "campaigns" that deliver interventions with multiple touch points over time to drive behavior change. The solution has been a key differentiator for +Oscar clients and we're excited about bringing the technology to more users nationwide.
You will report into a Senior Data Scientist. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The potential base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.
You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.
Responsibilities:
Help establish and maintain strategic +Oscar Modular Solutions roadmap for the Data team
Work with key stakeholders to strategize, implement, and manage the productization of data science models related to Campaign Builder
Assist with the evaluation of the financial impact of campaigns with both external and internal audiences
Requirements gathering for data pipeline management and reporting infrastructure build out and enhancement; includes obtaining regular stakeholder and end-user input
Help establish success metrics for projects and work with business to track and communicate metrics through dashboards and metrics
Requirements:
A bachelor's degree and 2+ years of relevant work experience OR a master's degree in a quantitative field and 1+ years of relevant work experience
Experience working with and building data models using common tools like Python or SQL
Experience with product analytics
Experience managing projects and partners across the organization with the ability to visualize a process, identify and resolve bottlenecks
Bonus Points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.


Actuarial Analyst Ii

Hi, we're Oscar. We're hiring a Actuarial Analyst II to join our Actuarial team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role
The Actuarial Analyst II role works directly with other actuaries, data scientists, insurance and tech professionals to help Oscar's innovative model to succeed as we grow. We understand technology, so this can become a powerful part of your tool kit.
You will report to the Manager, Actuarial.
This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $78,400 - $102,900 per year. The base pay for this role in all other locations is: $70,560 - $92,610 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.
Responsibilities
Maintain pricing models and methodologies, perform multiple trend analyses and experience monitoringImportant contributor in developing and submitting regulatory filingsProvide an actuarial viewpoint across teams for Oscar's ACA-compliant Individual and Small Group markets as we grow in our marketsPromote and shape Oscar actuarial best practices concerning automation and documentationMaintain relationships, relationship, and lines of communication with all partners
Qualifications
A bachelor's degree in Statistics, Mathematics, or FinanceActively take exams in pursuit of becoming an Associate of the Society of ActuariesSuccessfully passed a minimum of 2 actuarial examsMinimum of 2 years of relevant actuarial experienceUnderstanding of foundational actuarial principles, including but not limited to pricing, forecasting, valuation, modeling, and product development
Bonus Points
Experience with SQLFamiliarity with the Affordable Care Act and related financial & regulatory reporting
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.


Health Care Data Science Phd Intern

Internships at Optum. If you want an intern experience that will dramatically shape your career, consider a company that’s dramatically shaping our entire health care system. Optum, part of the UnitedHealth Group family of companies, is a leading health services and innovation company dedicated to helping make the health system work better for everyone. With more than 94,000 people collaborating worldwide, Optum combines people, technology, data and action to improve the delivery, quality and efficiency of health care. Our internship opportunities provide a view of a rapidly evolving, incredibly challenging marketplace of ideas, products and services. Here, you’ll work with some of the smartest people in the business on assignments that matter. Join us and you may end up staying for a career in which you can do your life’s best work.(sm)
Opportunities at Change Healthcare, part of the Optum family of businesses. We are transforming the health care system through innovative technology and analytics. Find opportunities to make a difference in a variety of career areas as we all play a role in accelerating health care transformation. Help us deliver cutting-edge solutions for patients, hospitals and insurance companies, resulting in healthier communities. Use your talents to improve the health outcomes of millions of people and discover the meaning behind: Caring. Connecting. Growing together.
Change Healthcare's AI & data science team is looking for PhD interns to join our team and work on some challenging projects. These projects include but are not limited to, document processing, image processing, clinical decision support, responsible AI, and predictive analytics. The ideal candidates should have solid problem-solving and analytical capabilities. The ideal candidate should be very detail-oriented and is able to deliver high-quality work.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Given a business problem, design and propose solution architectures and potential algorithms Use data and business requirements to justify the design Implement the solution by training AI/ML models or implementing needed logic Provide performance measures and analysis to illustrate the pros/cons of the design and implementation Present the solution and performance to the customers
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
Currently enrolled in a PhD program with a concentration in computer science, electrical engineering, data science, mathematics, statistics, and other engineering & science disciplines Demonstrated ability to work independently with minimum instructions Demonstrated ability to coordinate with team members Demonstrated ability to be a fast learner and is able to adapt to changing requirements Must be legally authorized to work in the United States without any restrictions (Consideration may be give given to F-1 students with practical training.)
Preferred Qualifications:
Basic knowledge of Machine learning & AI Developed coding skills with Python, SQL, and or other scripting languages Proven capable of handling large data manipulation & analysis Proven comfort talking with people with both technical and non-technical background
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York City, or Washington Residents Only: The hourly range for California, Colorado, Connecticut, Nevada, New York City, or Washington residents is $31.78 to $56.88.. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.          Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.     UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.


Principal Data Scientist Fintech Lending Capital

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands. As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team.  An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models.
About this roll* (Responsibilities)

Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance.
Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives.
Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices.
Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed.
Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization.
Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team.
Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities.

Do you have the right ingredients*? (Requirements)

Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline
8+ years of experience in data science, with a focus on credit risk modeling and lending growth strategies, preferably within the fintech lending space.
Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting.
Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc.
Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling
Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry.
Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders.
Strong leadership skills, with experience mentoring and guiding junior data scientists

Bonus ingredients*:

Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders

Our Spread of Total Rewards

Unlimited Vacation
Sabbatical opportunity after five years
Professional Development Reimbursement Program
Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
Various peer and company recognition programs
401(k) and matching
Medical, Dental, & Vision Coverage
Mental Health Benefits
Subsidized backup childcare

*Bread puns encouraged but not required
#LI-REMOTE


Senior Data Scientist Product

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate. You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions. Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day.
What You’ll Do

Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets
Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
Strong python experience (numPy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, analysis, A/B testing best practices)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

Experience at a high-growth startup
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

Compensation

The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
One Medical annual membership

401k (including employer match)

Please note only 401k contributions made while employed by Ramp are eligible for an employer match

Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance


Senior Data Scientist Inference Estimation

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do

Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Experience working with large datasets in Python, Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup

Compensation

The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
One Medical annual membership

401k (including employer match)

Please note only 401k contributions made while employed by Ramp are eligible for an employer match

Unlimited PTO
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance


Assistant Director Director I Data Science Machine Learning Innovation

Description
The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role
As a Data Scientist in Solaria Labs, you will be part of a team working on challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities:
Develops, customize novel machine learning algorithms for insurance-related applications.Able to Understand state-of-the art machine learning algorithms from the literature.Communicate complex concepts related to machine learning to stakeholders with varied backgrounds.Mentors a serves as a tech lead for a team of data scientists and advanced analytics staff.Collaborates with business partners to develop tools and solutions using advanced machine learning techniques.Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction.Supervises and performs highly complex, technical and creative predictive analytics projects.Regularly engages with the data science community and leads cross-functional working groups.
Please note this posting is open to multiple locations or remote. Compensation will vary based on location, experience and education.
Qualifications
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience required for Assistant Director level.Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 8+ years of relevant experience required for Director I level.Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. Provides tactical input on highly technically complex projects that drive change across function, SBU or Corporate Department. Supervises and performs highly complex well-defined work, containing technical and creative predictive analytics projects.Regularly engages with the data science community and leads cross functional working groups.Extensive experience analyzing data and a broad understanding of core statistical and ML techniques.Expertise with Python, Pytorch, Hugging face along with standard machine learning libraries.
About Us
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.


Director I Data Science

Description
Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyondDetect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV) Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practicesExplore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ dataEngage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiativesWorking cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners. Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.Drives innovation in the application and development of tools and practices.Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.Responsible for larger components of highly complex projects.Guides aspects of project design as a technical expert for the team.Regularly engages with the data science community and leads cross functional working groups.
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.Advanced knowledge of predictive toolset; reflects as expert resource for tool development.Demonstrated ability to exchange ideas and convey complex information clearly and concisely.Ability to establish and build relationships within and outside the organization.Ability to give effective training and presentations to management and other groups.Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.Broad knowledge of business drivers and market context.Has a value driven perspective with regard to understanding of work context and impact.Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of  6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of  8 years of relevant experience.NLP and CV experience preferred.
About Us
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.