Sr Countrywide Auto R D Analyst

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Countrywide Auto R&D Analyst?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Countrywide Auto R&D Analyst?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Countrywide Auto R&D Analyst?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty is required.
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Auto Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty is required
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Machine Learning Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. ML Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. ML Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Lead Machine Learning Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead ML Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead ML Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Strategize with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Experience strategizing with key stakeholders and multiple business units
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Data Scientist

At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe fitness starts with what you eat. We provide the tools and resources to reach your fitness goals.
The MyFitnessPal Data Science Team embeds artificial intelligence and machine learning into our product portfolio and business to create coaching solutions and personalized experiences to help our users achieve success on their fitness journeys. We encourage creative solutions and strive to maintain rigorous scientific and engineering standards.
Our diverse team of technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company.
Technologies and languages we work with include: Airflow, Amazon RDS, MySQL, Snowflake, Databricks, Elasticsearch, Scala, Python, SQL, Segment, Amplitude, Branch, Kubernetes, Docker, Okta. We care more about your general engineering skill than your knowledge of a specific language and or framework.

What you’ll be doing:

Analyze various data sets and build sophisticated machine learning models
Design and optimize algorithms to achieve the best solutions
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Communicate results and ideas to key decision makers
Keep up-to-date with latest technology trends
Help build us next generation data science solutions
Live our core values in all you do:

Be Kind and Care
Live Good Health
Be Data-Inspired
Champion Change
Leave it Better than You Found It
Make It Happen

Qualifications to be successful in this role:

MS/Ph.D. in Computer Science, Applied Mathematics or other quantitative disciplines with a focus on statistical modeling, artificial intelligence, and mathematical algorithms
Experience with one or more of the following: Natural Language Processing, text understanding, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
3-5 years of industry experience with machine learning
Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where data science and AI can be utilized
In-depth knowledge of Statistics/Probability/Machine learning
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.


Staff Data Scientist Ads Experimentation Analytics

Location: US remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Staff Data Scientist to be a part of the Ads Data Science team. You will work closely with product managers, engineers, and data scientists to up-level the experimentation capabilities of the ads organization. You have a strong understanding of experimentation, are not afraid to challenge the status quo, and thrive in a cross-functional environment.
Responsibilities:

Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases.
Lead an experimentation council that can approve/guide experiment designs for various product launches.
Explore new experiment designs/techniques such as budget split experiments, switchback testing, small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business.
Liaise with the centralized experimentation team in building platform features to accelerate ads experimentation.
Guide various ads product teams in understanding network effects and novelty effects when running experiments.
Track and own the experiment calendar for the ads org. Run weekly experiment review discussions.
Create frameworks for making metric trade-off decisions, especially when they span multiple organizations (e.g. ads vs consumer metric tradeoffs).

Required Qualifications:

Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
4 years of experience with experimentation, preferably for a consumer-facing service/app.
6+ years of experience in quantitative/modeling roles.
Proficiency with statistical analysis and programming languages (Python, SQL).
Understanding of experimentation and causal inference techniques.
Experience with digital advertising is preferred, but not required.

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $297,300.
#LI-Remote #LI-NH1


Senior Data Scientist

We all have important information we need to manage, and protecting it should be easy. Over 100,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online.

1Password is seeking a Senior Data Scientist to build tools and models that will guide better decision making. Your work will contribute to our understanding of our customers and prospective customers while being sensitive to their privacy expectations. You will partner with marketing, product, customer success and finance teams to measure the success of and optimize marketing activities, experimentation, product initiatives, and many others. All of this work feeds directly into the decisions made daily, giving our internal teams the information they need to answer the toughest questions.

Come join our team if you can think strategically and critically, and you are passionate about using data to guide decisions.

This is a Remote opportunity within Canada and the US.

What we're looking for:

Extensive experience using various methods to model relationships in data (regression, clustering, decision trees, anomaly detection, trend prediction, time-series, forecasting, etc.)
Extensive experience with design of experiments, preferably on the web
Expert SQL skills, expert Python for data analysis and data science, familiarity with Python for data engineering, expert level BI tool user (Looker preferred, but experience across Tableau, PowerBI, etc. welcome)
Skilled at extracting insights from messy data
Expert at using inferential and descriptive statistics to guide decisions
Ability to use NLP to derive insights
Good at identifying and evaluating novel, complementary data sets
Creative thinking and willingness to find novel solutions to tricky problems
Impeccable attention to detail and data quality
Understanding of data infrastructure
Naturally curious and highly motivated to jump in, analyze, experiment and learn
Comfortable working with data engineers, analytics engineers, marketing leads, product managers and financial analysts
Strong ability to communicate and visualize the “so what” of your work to technical and non-technical audiences with ease
Ability to think ahead and build models that are easy to iterate on as more data become available
Exposure to software development standard practices, including version control, unit testing, and code review
Experience deploying and maintaining models in a production environment
Great if experience with marketing and product data in a technology environment

What you can expect:

Drive marketing decisions from day 1 through A/B testing, developing ROI and attribution models, etc.
Help 1Password understand what our users like about 1Password, how they use it and how they think we could improve it
Impact our forecasting and prediction models
Support our customer service team through insights
Exposure to data and analytics engineering, marketing and product analysis, and product, marketing and finance teams
Thoughtful conversations about how to balance the need for data to understand our users and respect for our users’ privacy

United States-based roles only: Minimum annual salary for this role is $123,000USD, plus immediate participation in 1Password’s benefits program (health, dental, 401k and many others), utilization of our generous paid time off and, where applicable, participation in our incentive programs. All employees are owners of 1Password and receive an equity grant as part of their total package. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

What we offer:

We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:

Health and wellbeing

> 👶 Maternity and parental leave top up programs

> 👟 Wellness spending account

> 🏝 Generous PTO policy

> 💖 Company-wide wellness days off scheduled throughout the year

> 🧠 Complimentary Headspace membership

> 🩺 Comprehensive health coverage

 Growth and future

> 📈 Employee stock option program for all full time employees

> 💸 Retirement matching program

> 💡 Training budget, 1Password University access, and learning sessions

> 🔑 Free 1Password account (and friends and family discount!)

Flexibility and community

> 🤝 Paid volunteer days

> 🌎 Employee-led DEI&B programs and ERGs

> 🏠 Fully remote environment

> 🏆 Peer-to-peer recognition through Bonusly

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are being considered for a role at AgileBits, Inc. (dba 1Password, 1Password, we, us, or our), your information is stored in Lever, in accordance with Lever's Service Privacy Notice. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background.

Candidates may also optionally choose to self-identify their race/ethnicity, gender identity, sexual orientation, age, and disability. These answers will help us evaluate our diversity and belonging efforts. You do not have to answer these questions—your answers will not be linked to your name or job application, will not be visible to the hiring manager reviewing your application, and will in no way affect your job application. If you have any questions about the collection or use of this information, please contact [dpo@1password.com].

When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how we use or process your information, or if you would like to ask to access, correct, or delete your information, please contact our privacy team at [dpo@1password.com] or through 1Password Support.


Senior Data Scientist

Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.

We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.

Responsibilities, including estimated time of how much of an average week is spent doing each item - this is subject to change:
25% - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
20% - Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
15% - Create automated anomaly detection systems and quality assurance metrics to track performance constantly.
15% - Communicate best practices in quantitative analysis and develop cross-functional partnerships.
15% - Perform Ad-hoc analysis and present results.
10% - Keep up to date with the latest technology trend to apply them to our business challenges.

Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization, and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to communicate insights effectively.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to: marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote


Senior Data Scientist Decision Engine

We are looking for a Data Scientist to build out our pricing, forecasting, and advertising algorithms that allow Perch to grow our brands at scale. Sitting within our Decision Engine team, the ideal candidate will have 2+ years of data science experience working on causal inference, classification, or time series prediction problems, and has worked in a production environment workflow. The person filling this role should have strong analytical skills and business acumen to advance our strategic thinking beyond just building machine learning models.
Responsibilities

Use observational data and generate experimental data to estimate pricing and advertising lever impact on demand.
Develop models to predict elasticities for new products, channels, and markets.
Work closely with Growth team product managers, engineers, and data analysts to carefully curate high dimension time series data sets that unlock new insights.
Consult with other analysts within the Growth team to aid in improved causal inference and in identifying opportunities for data science solutions.
Build the engine that surfaces causal and demand estimates to marketing, supply chain, and business leaders to improve the business response to changes in market demand.
Evangelize rigorous data driven decision making across Perch to elevate the business.
Develop deep expertise in the inputs that feed pricing logic and identify opportunities to improve accuracy.

About You
You have a B.S. in a quantitative field from a top rated program. Building optimization solutions, data pipelines, and analyses in python comes as second nature. You are thrilled to engage in brainstorming of economic hypotheses and can’t wait to dive into the data to validate or invalidate your ideas. You recognize the pursuit of better and cleaner data never ends, but brings great value to your work. Most importantly, you seek to innovate, to do what has not been done, and to measure what has not been measured.
About Us
Perch is one of the fastest growing eCommerce companies in Boston. Perch acquires and develops great ecommerce brands. We are backed by amazing investors (SoftBank, Spark Capital, Tectonic Ventures, and Boston Seed). Our team has deep expertise in ecommerce, technology, and M&A. We are disrupting one of the largest and most exciting spaces of ecommerce and are building an industry-shaping platform. Our aim is to have a workplace and company that positively impacts the lives of others, including our employees, their families, the entrepreneurs and vendors we work with, and our end customers.
Perch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
The expected base pay hiring range for this role is USD $135,000 - $155,000 per year. This role is also eligible for an annual bonus, equity, and benefits. A summary of benefits we offer our U.S. - based employees can be found here.
The compensation range listed above reflects the minimum and maximum target for new hire salaries for this position across all US locations. Within the range, individual pay is determined by several factors, including, but not limited to, work experience, technical skills, certifications, etc.


Senior Data Scientist Ii

Job Description:Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Senior Data Scientist to join our Advanced Analytics team in Newport Beach, CA. This role can be on-site or 100% remote.As a Senior Data Scientist, you’ll play a key role in Pacific Life’s growth and long-term success by providing model driven insights to business partners such as Operations, Sales, Marketing, Actuarial sciences, Compliance, and IT in a Do/Partner/Support model. If you have worked on projects with business partners to deliver insights through analytical modelling and rapid hypothesis testing, you’re a great fit for this role. Currently, our profitable team is employing Machine Learning, and cutting-edge data structures, while also working to drive ROI through traditional methods such as General Linear Models, Clustering, and Decision Trees. We also enable business functions to build models and perform analysis themselves through our Community of Practice.Reporting to the Director of Advanced Analytics, the individual contributor will be able to work with business units to understand their needs and work independently to deliver a potential analytical solution be it actionable insights or an operational model in production that drives quantifiable value. How you will make an impact:Modeling and Hands-on Analytics (40%):  This will involve opportunities to choose the right model to and obtain insights for the business use case.  Models include time series, clustering, statistics and more advanced methods.   Model design includes envisaging metrics related to eventual “value provided”.Client engagement and project management (40%):  The Analytics team members work with our internal clients and function as the SME liaison for their area of business.  This includes engaging with the business partners to frame “the right question to ask”.  The scope of engagement includes managing the analytics project life cycle in an agile framework.Analytics Practice Research and advancement (20%):  The Senior data scientist will have an opportunity to be an ambassador for the Advanced Analytics team and to opine on / participate in sourcing and assessing new technologies in the analytics space.  Data scientists also help propagate the knowledge of their craft across the business.The experience you will bring:
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Fluency with design and analysis of experiments (A/B testing) and adaptive sampling methods
Experience working directly with business partners to provide solutions to complex problems
Technical skills in modeling (AI/ML), R and/or Python), SQL, DataRobot, H2O driverless AI, Knime,
Strong communication and interpersonal skills that align with the people-first culture at PL
Passionate about achieving results and comfortable operating in uncharted territory
Ability to challenge status quo and help others achieve while working in an “Agile” mindset
Undergraduate Degree in Engineering, Mathematics, Statistics or similar quantitative discipline
8+ years of experience, including 4+ years in analytical modelling
PhD or Master’s degree in operations, statistics, engineering or related quantitative field
What will make you stand out:
Operations efficiency experience including processing modeling, call center analytics and Salesforce Service Cloud is highly preferred
Six-sigma or lean process improvement credentials and experience
Financial Services experience, particularly in the Insurance and Retirement industry
Consulting, client relationship and project management experience
Knowledge of visualization tools (Tableau, Power BI, etc.)
Track record of collaborative delivery; strong willingness to teach others
#LI-RemoteBase Pay Range:The base pay range noted provides a basis to determine the appropriate offer dependent upon several factors including but not limited to geographic location, experience, skills, education and pay equity. Also, most employees are eligible for additional incentive pay.$135,000.00 - $168,800.00 - $227,900.00Your Benefits Start Day 1   Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
EEO Statement:Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.


Senior Manager Data Science

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 100 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
As the Senior Manager of the Product Data Science team, you will be leading and growing an established team of 8+ Data Scientists working on our marketplace and merchant facing products. The team works closely with Product Managers, Engineers, and Designers to:
Research opportunities and build business casesDesign A/B experiments and logging strategiesAnalyze results of experiments to derive actionable insightsBuild models that power current and future products
As a successful leader for this team, you must possess a strong technical background, especially working with large data sets, quantitative research, and experimental analysis. You should be results-driven, highly motivated, and have a track record of using data analytics to drive the understanding, growth, and the success of a product.
Aside from technical mentorship, you will be tasked with managing and growing the team to keep up with the scale of the product. You should be comfortable working with people from diverse data skill sets and structuring a team for success at scale.
What You’ll Do:
Manage a team of diverse data skill sets including Data Scientists and Business AnalystsStructure a medium to large sized data team for successResearch product opportunities and help build business casesDesign A/B experiments in a fast moving environmentCollaborate with product, engineering and design teamsStay up-to-date with the latest analytical trends and motivate your team to do the sameServe as the data point of contact for the entire Product organization
Qualifications
Bachelor's degree in Statistics, Computer Science, Engineering, or equivalent experience5+ years experience in Data Science, Business Analytics, Deep Learning, Statistical Research or a related fieldHands-on experience with large scale data processing software and tools (Hadoop, Spark, MapReduce etc)Strong coding experience and knowledge of object-oriented programming
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
The estimated base salary range for this position varies by the candidate's location as follows:
Candidates located in California: $207,000 - $291,500 annuallyCandidates located in New York and Washington: $233,000 – $291,500 annuallyCandidates located in Colorado: $180,000 - $225,000 annuallyFor states not listed, the estimated base salary range for this position starts around $180,000 annually
Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Senior Data Scientist District Success

ABOUT KHAN ACADEMY
Khan Academy is a nonprofit organization on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly, and right now we’re hard at work helping learners address any unfinished learning that the COVID-19 pandemic may have caused. We also know that not all communities have been impacted equally by this pandemic, which makes our work focusing on providing equitable solutions to historically under-resourced communities even more important.
WE ARE DRIVEN BY OUR COMMUNITY
Our students, teachers, and parents come from all walks of life and so do we. We are fun, diverse, quirky people that come from a variety of backgrounds. Our team includes people from academia and from high tech companies and tiny startups. We hire great people from diverse backgrounds and experiences, not just because it’s the right thing to do, but because it makes our company stronger. Valuing diversity, equity and inclusion is necessary for us to actualize our mission and truly impact the communities we serve. We believe that the best way to provide impactful education is to create a diverse team of people from different backgrounds, races, religions, genders, sexual orientations, ages, and experiences.  We’re a hardworking team that’s passionate about helping learners and teachers around the globe! We strive to be world class in investing in our people and commit to developing you as a professional.
THE ROLE
Khan Academy is looking for an experienced data analyst/scientist to join our growing team. This role will partner with our district partnerships team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.
JOB RESPONSIBILITIES

Identify and measure success of initiatives through goal setting, forecasting, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around investments and initiatives
Use your expertise in experimentation and causal inference to quantify the impact of various programs and interventions
Contribute to development of self-service analytics tools to enhance data access for the district success team
Work with our engineering teams to improve the tools and datasets we have for our district operations

YOU MAY BE A FIT IF YOU HAVE

A passion for Khan Academy’s vision and a desire to change the world

Background in applied math, statistics, economics, or a related technical field
3-5 years experience in data science or analytics
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Knowledge about experiment design and causal inference
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgement, with a knack for asking the right questions
Prior experience working with B2B or schools business is a plus

PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team extremely well!

Competitive salaries
Ample paid time off as needed – we are about getting things done, not face time
Generous parental leave
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Affinity groups where Parents, Black, Hispanic/Latino, Women and Gender Minorities, and LGBTQIA+ identified folks come together
And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.
For this position, our hiring salary range is $140-170k USD. This is determined by several factors including experience and skills, regular job market evaluations, and location. In an effort to maintain competitive market rates, these ranges reflect the minimum and maximum targets across all locations.For more information, your recruiter can share more about the salary range for your desired location.
MORE ABOUT US

Sal’s TED talk from 2011
Sal’s TED talk from 2015

Our team:  http://www.khanacademy.org/about/the-team

OUR COMPANY VALUES
Live & breathe learners
We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.
Take a stand
As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.
Embrace diverse perspectives
We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.
Work responsibly and sustainably
We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.
Bring out the joy
We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.
Cultivate learning mindset
We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.
Deliver wow
We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.


Senior Manager Of Data Science Us

The GridX product team is looking for a Senior Manager of Data Science  to help us build out our Data Science organization. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems, bringing scientific thought and statistical methods to leverage the vast amount of data. Ultimately enabling the product team to build, develop and improve products that will revolutionize the energy industry. The Senior Manager of Data Science will work primarily remotely, with occasional working sessions in our Oakland, CA office.
Roles & Responsibilities
Build a Data Science organization, allowing the company to harness the power of data in developing and marketing new products.
Mentor a team of analysts.
Liaise with Product and Business Leaders to understand issues, priorities and support them through relevant product and business analytics.
Deliver data backed analysis and statistically proven solutions.
Ability to work across time zones in a dynamic start-up setting.
Analyzing vast amounts of data to identify patterns and create thought leadership on customer usage patterns and rates.

REQUIRED Qualifications
Experience with load forecasting or forecasting algorithms pertaining very large data sets
Experience in the Utility or Electricity industry

Qualifications
Bachelor’s degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines.
5+ years data science and analytics experience.
Strong project management and leadership skills.
Demonstrated ability to build processes and implement tools from the ground-up.
Ability to coach and mentor analysts on technical and analytical skills.
Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
Ability to employ statistics and anomaly detection techniques for data-driven analytics.
Ability to process, cleanse, and verify the integrity of data used for analysis and modeling.
Solid experience with common data science toolkits, such as scikit-learn, Spark ML, pandas, Scipy, etc.
Strong SQL knowledge; working experience with standard Business Intelligence tools a great plus.
Experience dealing with large quantities of data across relational and NoSQL databases, cloud storage, and distributed compute systems.
Ability to scale data science solutions with a keen understanding of how to optimize performance and mitigate computing cost.
Experience with data visualization tools.
Ability to rethink existing processes and design new processes for more effective analyses.
Good knowledge of statistics and machine learning.
Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
Excellent written and verbal communication skills for presenting findings to technical and non-technical audiences.
Possess strong organizational and time management skills, with attention to detail.
Excellent communication, presentation, and interpersonal skills.

Benefits
Flexible PTO
Excellent Medical, Dental and Vision Insurance
401k Match
Stock Options
Parental Leave
Be part of creating our clean energy future

About GridX
GridX is the catalyst of our clean energy future. Utilities and energy technology providers rely on our analytics solutions to tell people exactly what they can expect to pay when making clean energy decisions, like changing to a time-of-use rate plan, buying an electric vehicle, installing solar and more. The result is less strain on the electric grid, happier customers and increased consumer investment in sustainable technologies. Working at GridX puts you at the center of realizing our clean energy future.


Data Scientist Risk Analytics

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities Support the implementation of models by working closely with the software engineering team and performing post release checks and analysisAssist with development of technical tools and platforms to standardize and streamline model development and monitoring processesEstablish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendationsWork with cross-functional teams to explore new ways of finding insights from data and provide recommendationsCommunicate concise and actionable business strategies to senior management
Requirements:
Bachelor's degree required2+ years of experience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detailExperience supporting and working with cross-functional teams in a dynamic environment
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)Experience working with specialty finance or FinTech
Benefits:
Competitive salary and benefits packageFlexible, remote workFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer


Data Scientist Risk Analytics Intern

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
Establish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
Requirements:
Bachelor's in (or senior majoring in) math, statistics, computer science, engineering or related fieldExperience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detail
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
Benefits:
Flexible, Remote WorkFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer


Modeler Risk Analytics

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities Support the implementation of models by working closely with the software engineering team and performing post release checks and analysisAssist with development of technical tools and platforms to standardize and streamline model development and monitoring processesEstablish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendationsWork with cross-functional teams to explore new ways of finding insights from data and provide recommendationsCommunicate concise and actionable business strategies to senior management
Requirements:
Bachelor's degree required2+ years of experience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detailExperience supporting and working with cross-functional teams in a dynamic environment
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)Experience working with specialty finance or FinTech
Benefits
Competitive salary and benefits packageFlexible, remote workFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer


Senior Manager Of Data Science

Nav is democratizing small business financing. In other words, we give small business owners access and control.  Yes, this challenges the norm, but it means working with curious, purpose driven, dedicated, and inquisitively smart people who push themselves, our company and the community to the next level (and every level after that). We are the people behind the tech. And when it’s good, we look for better. We don’t over think the value we bring nor spend time trying to revamp mantras. We also do not come up with some crafty way to tell you who we are and what we offer. We are Nav!  Here, you’ll gain a wealth of experience, learn the tricks of the trade, and work with winners. All companies say people are connected to their mission but in our case our mission and our people are one – it is a way of being not just a cause you are committed to.  And since 2013, Nav has holistically and organically developed its own ideology because Nav can only be Nav.
Join Nav as we build the leading SMB financial health platform on the market. As the Senior Manager of the Data Science team, you will help lead the data science vision and delivery roadmap to advance Nav's business.
YOU WILL:

Own areas of the Data Science roadmap. Lead and contribute to projects on the Data Science roadmap to advance Nav’s business.  Consult on projects of defined scope being performed by junior team members.
Work with stakeholders to detail project design and timeline estimates.  Understand business use cases and success criteria of each project.
Identify strategic research components within a project and execute approved research.  Push to extend the capabilities of the data science team.
A demonstrated ability to translate business strategy and goals into optimal strategies and business requirements that are scalable, simple, customer-focused, and adaptable to unique and changing business needs.
Perform all aspects of a machine learning model development including data analysis, feature engineering, modeling and evaluation of models.
Provide updates to team members during team and project stand-ups.  Update jira tickets with progress.
Conduct code reviews of teammate’s work and follow best practices such as comments and unit tests.
Ensure project documentation and organization of exhibits.
Present work to stakeholders throughout the projects.
Actively work to continually improve data science practices and processes.
Identify data science tool needs and build out tools to enable the data science team as a whole.
Mentor and guide junior team members.
Lead and contribute to data science knowledge sharing sessions.

ABOUT YOU:

8+ years as a data scientist
3+ years with people management experience.
Fluency in at least 1 programming language: Python, PySpark, R, Java.
Experience with Git, Jira, AWS.
Experience leading data science projects.
Deep understanding of multiple model metrics and evaluation techniques.
Experience partnering with stakeholders to understand business use cases and success criteria.
Equally comfortable setting future-oriented strategy and vision as they are designing and delivering capabilities today.
Can operate in a rapidly changing environment with a sense of urgency and a high level of intellectual curiosity and comfort with ambiguity.
Ability to work with highly integrated systems and think holistically about solutions.
A proven track record of prioritizing work appropriately to ensure alignment with success metrics and effectively communicate prioritization to stakeholders. You are able to determine when progress is not being made and suggest alternative approaches.

.
More about Nav
Inclusion at Nav:
At Nav, we celebrate what makes our employees unique because the businesses we serve are progressively diverse and distinctly original. Navericks are diverse, side hustlers, immigrants, veterans, queer, and we push generational boundaries. We are college dropouts, PhDs, special needs parents, allies, pet owners and community leaders. Navericks are human. We are committed to upholding a safe, supportive environment where everyone matters. We are committed to making a better future for all of us. We have created a workplace where people of all backgrounds can express their identities authentically. To put it simply, we want you to be proud to be you.

Our Compensation Philosophy is simple but powerful:
At Nav, we are  transparent about our total rewards, including pay, across all levels and roles. We believe great, enduring relationships are grounded in trust and transparency. Compensation shouldn’t be a distraction, and employees should understand how pay and career advancement decisions are made. Providing equal pay for equal work is table stakes for being a great place to work. Gender and ethnic inequity should only be something that our children read about in history books. We believe providing Navericks with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, our recruiter will be explaining how our rubrics work across all of our total rewards ( base, equity, bonus, perks, and benefit) offerings . The base salary for this role is targeted between $145K - $170K per year. Final offer amount is determined by your proficiencies within this level.
Our impact on you:
Competitive Pay. Company Ownership. Unlimited Vacation. Benefits Day One. 6 Weeks Paid Parental Leave. Work From Anywhere (yes we were distributed before it was cool). Flexible Work Arrangements. Free Telehealth and Telemental Health For All Employees. Employee Networking and Events. Community Network Groups (women’s, PRIDE, culture). Meaningful Perks and Rewards. Learning and Development Opportunities. Pet Insurance.

A Naverick’s DNA:

We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
We practice straight talk and listen generously to each other with empathy. We value different opinions and point of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
We hold ourselves accountable for delivering results. We choose to not to be a victim of circumstance. We make decisions & take responsibility so that we can act & support each other, rather than adopting defensive, and “finger pointing” behaviors.
As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.


Data Science Manager

Nav is democratizing small business financing. In other words, we give small business owners access and control.  Yes, this challenges the norm, but it means working with curious, purpose driven, dedicated, and inquisitively smart people who push themselves, our company and the community to the next level (and every level after that). We are the people behind the tech. And when it’s good, we look for better. We don’t over think the value we bring nor spend time trying to revamp mantras. We also do not come up with some crafty way to tell you who we are and what we offer. We are Nav!  Here, you’ll gain a wealth of experience, learn the tricks of the trade, and work with winners. All companies say people are connected to their mission but in our case our mission and our people are one – it is a way of being not just a cause you are committed to.  And since 2013, Nav has holistically and organically developed its own ideology because Nav can only be Nav.
Join Nav as we build the leading SMB financial health platform on the market. As the Manager of the Data Science team, you will help lead the data science vision and delivery roadmap to advance Nav's business.
YOU WILL:

Own areas of the Data Science roadmap. Lead and contribute to projects on the Data Science roadmap to advance Nav’s business.  Consult on projects of defined scope being performed by junior team members.
Work with stakeholders to detail project design and timeline estimates.  Understand business use cases and success criteria of each project.
Identify strategic research components within a project and execute approved research.  Push to extend the capabilities of the data science team.
A demonstrated ability to translate business strategy and goals into optimal strategies and business requirements that are scalable, simple, customer-focused, and adaptable to unique and changing business needs.
Perform all aspects of a machine learning model development including data analysis, feature engineering, modeling and evaluation of models.
Provide updates to team members during team and project stand-ups.  Update jira tickets with progress.
Conduct code reviews of teammate’s work and follow best practices such as comments and unit tests.
Ensure project documentation and organization of exhibits.
Present work to stakeholders throughout the projects.
Actively work to continually improve data science practices and processes.
Identify data science tool needs and build out tools to enable the data science team as a whole.
Mentor and guide junior team members.
Lead and contribute to data science knowledge sharing sessions.

ABOUT YOU:

5+ years as a data scientist
3+ years with people management experience.
Fluency in at least 1 programming language: Python, PySpark, R, Java.
Experience with Git, Jira, AWS.
Experience leading data science projects.
Deep understanding of multiple model metrics and evaluation techniques.
Experience partnering with stakeholders to understand business use cases and success criteria.
Equally comfortable setting future-oriented strategy and vision as they are designing and delivering capabilities today.
Can operate in a rapidly changing environment with a sense of urgency and a high level of intellectual curiosity and comfort with ambiguity.
Ability to work with highly integrated systems and think holistically about solutions.
A proven track record of prioritizing work appropriately to ensure alignment with success metrics and effectively communicate prioritization to stakeholders. You are able to determine when progress is not being made and suggest alternative approaches.

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More about Nav
Inclusion at Nav:
At Nav, we celebrate what makes our employees unique because the businesses we serve are progressively diverse and distinctly original. Navericks are diverse, side hustlers, immigrants, veterans, queer, and we push generational boundaries. We are college dropouts, PhDs, special needs parents, allies, pet owners and community leaders. Navericks are human. We are committed to upholding a safe, supportive environment where everyone matters. We are committed to making a better future for all of us. We have created a workplace where people of all backgrounds can express their identities authentically. To put it simply, we want you to be proud to be you.

Our Compensation Philosophy is simple but powerful:
At Nav, we are  transparent about our total rewards, including pay, across all levels and roles. We believe great, enduring relationships are grounded in trust and transparency. Compensation shouldn’t be a distraction, and employees should understand how pay and career advancement decisions are made. Providing equal pay for equal work is table stakes for being a great place to work. Gender and ethnic inequity should only be something that our children read about in history books. We believe providing Navericks with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, our recruiter will be explaining how our rubrics work across all of our total rewards ( base, equity, bonus, perks, and benefit) offerings . The base salary for this role is targeted between $145K - $170K per year. Final offer amount is determined by your proficiencies within this level.
Our impact on you:
Competitive Pay. Company Ownership. Unlimited Vacation. Benefits Day One. 6 Weeks Paid Parental Leave. Work From Anywhere (yes we were distributed before it was cool). Flexible Work Arrangements. Free Telehealth and Telemental Health For All Employees. Employee Networking and Events. Community Network Groups (women’s, PRIDE, culture). Meaningful Perks and Rewards. Learning and Development Opportunities. Pet Insurance.

A Naverick’s DNA:

We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
We practice straight talk and listen generously to each other with empathy. We value different opinions and point of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
We hold ourselves accountable for delivering results. We choose to not to be a victim of circumstance. We make decisions & take responsibility so that we can act & support each other, rather than adopting defensive, and “finger pointing” behaviors.
As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.


Clinical Data Analyst R Month Contract Extendable

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.

This role is part of Biostatistics group within the Clinical Development team at GRAIL. The clinical data analyst contractor contributes to the analysis of clinical study data through their statistical programming expertise. This individual will develop programs for and maintain complete and auditable documentation of the analysis of GRAIL’s clinical studies.

Term: 6 months with the potential to extend

Responsibilities;

Provide statistical programming support to pre-defined and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies
Work closely with biostatisticians to review the statistical analysis plan (SAP), and create data and analysis program specifications based on the SAP
Maintain complete and auditable programming documentation for analysis of clinical studies
Contribute to the development, documentation, and maintenance of a reusable programming code library
Serve as a member of clinical study teams
Have the opportunity to work with data scientists closely on machine learning projects, as applicable
Have the opportunity to work on engineering-oriented projects like dashboarding and scaling up efforts with large-scale genomic data, as applicable
May act as a biostatistician on small-scale projects
Stay abreast of industry developments in the Statistical Programming field and apply to appropriate systems and processes

Requirements;

1-3+ years of data analysis and statistical programming experience in academia or industry.  Molecular diagnostics industry experience preferred
B.S. or M.S in Statistics or related field
Proficient in R (strongly preferred) or Python or SAS
Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA
Ability to work independently on multiple concurrent projects in a fast-paced environment
Strong team player with demonstrated track record of success in cross-functional team environment

The expected, hourly pay scale for this position is $60 - $76. Actual rate will consider skills, experience, and location.

Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.

In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.

GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL.


Senior Data Scientist

Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.

Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded one of Inc's Best Workplaces 2019 and 2020 Forbes #8 Startup Company, Curology is a leader in direct-to-consumer e-commerce and has been featured in Vogue, Allure, Harper’s Bazaar, and Business Insider.

Curology is building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life.

As a Data Scientist, you will be focusing on measuring and optimizing our Marketing investments across Curology and Agency brands. You will work with business teams, data engineering, data analysts, and product teams to turn data science ML models into product solutions.. This role will include projects ranging from MMM, Propensity models, Customer Profiling & Segmentation, Clustering, Incrementality, Attribution, A/B Testing and Design, ad hoc advanced analysis, etc.

In this role you will:

Work with business partners and cross-functional tech partners to deeply understand data, customer lifecycle touchpoints, business opportunities, and core business KPIs to continuously build test, validate and deploy ML models and advanced analytics techniques
Support the marketing team on MMM (marketing mix modeling), incrementality testing, and customer segmentation to drive higher LTV/CAC ratios
Work closely with the marketing team on forecasting marketing $ allocation based on channel response curves and ROI
Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting, and optimization to drive business growth
Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
Innovate with new approaches, staying abreast of current research in the field and the broader machine-learning community

You will be successful if you have:

A passion for data including problem-solving, critical thinking, and diving into data in order to understand specific areas of the business better than anyone else and become an expert in their domain and sought out by business partners for that expertise.
Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable; bonus points for experience with ReCast
Experience supporting marketing teams and with digital media (bonus points for having worked on a consumer brand - ideally DTC & subscription!)
Expertise in statistical experimentation or A/B testing principles
Acute business judgment and the ability to see past the noise and are able to work autonomously in an unstructured environment
An exceptional communicator, attentive listener, and compelling explainer with the ability to focus on a problem, ask insightful questions, and gain expertise quickly
A curious nature and the drive to dig into data insights and proactively answer the "why" questions
You have 3+ years of experience in data science, ideally with a MS/Ph.D. In CS, Math or Statistics
You have proven expertise in SQL, Python, R or similar programming languages Java, Scala

You will love working at Curology because:

Amazing team culture and environment
Awarded Great Place To Work & Inc.’s Best Workplace
Competitive salary and equity options
Unlimited, flexible PTO for exempt employees
Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k
Paid maternity and paternity leave
Free subscription to Curology!
Company-sponsored happy hours and outings

Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.


Head Of Marketplace Intelligence

About Veho

Veho's mission is to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.

For too long, parcel delivery companies have focused solely on efficiencies and cost-management. Veho focuses on the end-customer. As the first technology company of its kind, Veho replaces the old delivery trucks with a platform of crowdsourced drivers and a network of hyper-local delivery stations. We partner with some of the most recognized consumer brands such as Warby Parker and Hello Fresh to provide an incredible experience with every delivery, and give customers control on how, when and where their package is delivered.

Customers LOVE us. Despite growing at a record-speed over the past two years, we maintain an incredibly high customer satisfaction rating of 4.9/5 stars, and an unprecedented on-time delivery rate of 99.9% - far above every other company in the country.

In short, we are building the logistics platform of the future.

Veho is backed by former top executives and board members at Uber, FedEx, UPS, eBay and Amazon, three former public company CEOs, early investors in Lyft and Instacart, as well as prominent venture capital firms General Catalyst, Tiger Global, and Softbank. We are a team of leaders who are passionate about building an incredible company that will change the face of this industry.

As the Head of Marketplace Intelligence, you will build and lead the Marketplace Algorithms data organization at Veho to shape the future of how we serve our drivers at Veho. As the leader of the Marketplace Intelligence organization and the first Data Science leader at Veho, you will build a data science team that partners  with engineering teams across Veho to embed data and actionable insights into our products. In this role, you will report to the Head of Engineering at Veho.

We are on a mission to re-invent package delivery by creating a best-in-class experience for our users. Our data and engineering teams build products that power our operations (warehouse, transportation, and marketplace), help drivers successfully deliver packages with care, and provide consumers visibility into everything that is happening. Data and AI is central to our roadmap and you will be critical to its success. Your thought leadership as well as judgment on how we leverage data towards our mission will be critical to your success.

In this role, you will combine subject matter experience in data science, and data engineering will be expected to hire and bring on board high-caliber data scientists, data analysts, and data engineers. This role will own both the tactical and strategic direction of the data and AI strategy at Veho and will be expected to work closely with stakeholders across all of Veho. Marketplace is the heart of the entire Veho operations and the data science team is central to driving innovation in how we operate our marketplace.

Tactically, you will be responsible for hiring data scientists that can be embedded across the Marketplace intelligence team in different organizational areas and will be accountable for the craft of data science in Marketplace Intelligence. You will also be responsible for thought leadership and partnering with our data platform team that is building the best-in-class experience for data scientists and machine learning engineers.

Responsibilities Include:

Define and lead strategy for Marketplace data as well as partner with the engineering teams in building data-centric Marketplace products.
Provide roadmap, delivery timeline, as well as strategy for the evolution of the data science algorithms while ensuring continued roadmap execution.
Lead the craft of data science at Veho and help build the Data Science organization
Working with product, design, and engineering as an equal partner and is adept at translating business problem spaces to priorities and learning agenda for the team
Hire, develop, and retain a high-performing, talent dense, and diverse team (both ICs and people managers)

What You Bring:

5+ years of experience in people and engineering management as a Director or VP of Data Science.
Outstanding problem framing, strategic thinking, and communication skills. You are adept at surfacing insights to a variety of stakeholders.
A broad technical background that spans multiple areas such as data products, experimentation, advanced metrics, statistics, machine learning, and causal methods
Experience thinking through organizational strategy and establishing stable scopes of teams
Strong executive leadership experience leading teams of data scientists, data engineers, analysts, engineers, and software engineers.
Experience building data organizations from the ground ups.
Experience engaging with top executives and collaborating with business leaders to leverage the value of data to drive and influence the business.
Demonstrated success driving team and delivering quick results in a startup environment
Thrives in a fast pace and evolving environment.

Bonus:

Prior experience in shipping logistics, marketplace optimizations, route planning and solves.
Experience with working with data at tens of petabytes scale.
Experience with MLops and machine learning/recommendation algorithms and platforms.

The starting salary for this role is $208,000. The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.

#Li-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.