Sr Data Scientist Capital Modeling

We are Farmers!
We are… more than just your favorite commercials. We are a passionate, award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture! We are Farmers!
Do you thrive in a high-volume, fast-paced environment? Do you enjoy the challenge of a position where no two days are alike? We are looking for positive, high-energy professionals who are not just looking for a job, but a meaningful career!
Job Summary
This role has responsibilities for the operation, development and use of the capital model within Farmers Insurance.
Provides data modeling services (exploratory and predictive modeling) for line(s) of business and/or shared service functions.
Works on end to end solutions as an individual contributor and as part of the project team, starting with partnering with business leaders to identify project opportunities and clarify modeling requirements.
Conceives and designs complex and innovative analytic models both that include traditional and contemporary data mining technologies, applied to both structured and unstructured data sets.
Responsible for pulling and cleaning datasets, building and testing the models, and presenting results to internal teams and business leaders to demonstrate the business value of each project.
Essential Job Functions
Understands the technical working of the capital model.
Helps explain the capital allocation results from the capital model.
Recommends new and innovative ways to produce insurance risk parameters that balance accuracy and efficiency.
Coordinates with other departments to ensure model calibration is done with accuracy and completeness.
Prepare reports for regulatory submissions and internal documentation summarizing the key drivers of risk and movements in risk.
Leads the design, build and test/validate process for quantitative models (descriptive, predictive, optimization/simulation and others) built using a variety of modeling techniques.
The modeling results could be presented to end users as reports, scorecards, dashboards, web applications or be implemented directly into the line of business workflow with an automated process.
Partners with business leaders to identify project opportunities and clarify modeling requirements, including understanding who will use the potential solution and how it fits into the business process.
Presents modeling results to business leaders and discusses interpretation and application of using the model.
Performs research and development on new modeling algorithms, modeling concepts or technical tools to find applicability to Farmers projects.
Presents results to the senior leadership team and recommends whether researched items should be added to the Farmers Analytics toolkit. Leads team meetings, knowledge sharing and individual learning activities
Perform other job duties as assigned.
Experience Requirements
5-7 years as Data Scientist, Actuary, or related technical role in a delivery oriented environment required. Experience within the insurance industry and insurance data preferred.
Experience with capital modeling preferred.
Experience with programming languages  such as Python, R, SQL.
Education Requirements
High school diploma or equivalent required. Bachelor's degree preferred. Masters degree in statistics, operations research or other quantitative analytical field preferred.
Special Skill Requirement
Additional Qualification
Benefits
Farmers offers a competitive salary commensurate with experience, qualifications and location.
	o CA Only: $114,080 - $165,400
	o CO Only: $107,200 - $142,600
	o New York City, NY/Westchester County: $132,320 - $165,400
	o WA Only:  $114,080 - $152,600
Bonus Opportunity (based on Company and Individual Performance)
401(k)
Medical
Dental
Vision
Health Savings and Flexible Spending Accounts
Life Insurance
Paid Time Off
Paid Parental Leave
Tuition Assistance
For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer
Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.


Senior Data Scientist Sause Team

The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture.
How you'll have an impact:

Be directly responsible for the performance of enterprise merchants with household names.
Research real-time new fraud patterns with our Risk Intelligence team
Improve the important components of the Signifyd Commerce Protection Platform
Communicate complex ideas to a variety of audiences, including executives
Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Collaborate with engineering teams to strengthen our machine learning pipeline

Past experience you'll need:

A degree in computer science or a comparable analytical field
4+ years of post-undergrad work experience required
Experience leading projects
Strong verbal and written communication skills
Strong machine learning and statistical background and a track record of being able to deliver under pressure.
Write code and review others' in a shared codebase in Python
Practical SQL knowledge
Design experiments and collect data
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD

Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
#LI-Remote
#LI-Remote
(Colorado and New York City only*) Minimum salary of $140,000+ bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Mental wellbeing resources
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag


Predictive Analyst Ii

We are Farmers!
We are… more than just your favorite commercials. We are a passionate, award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture! We are Farmers!
Do you thrive in a high-volume, fast-paced environment? Do you enjoy the challenge of a position where no two days are alike? We are looking for positive, high-energy professionals who are not just looking for a job, but a meaningful career!
Job Summary
Farmers Group (Warwick, RI) seeks a Predictive Analyst II to work in the research area within the Countrywide Product Management department. Specific duties include: develop and implement advanced analytics and predictive modeling solutions to improve business processes, generate insights, and support business goals and strategy development, using enterprise-caliber data science tools and predictive and statistical models; perform datamining from various sources; identify and integrate new datasets that can be leveraged to improve product, validate data accuracy, and verify data quality to ensure consistent use across the business; develop, deploy and maintain predictive models and monitor model performance to identify opportunities to improve business profitability and operational efficiency across Property & Casualty business; collaborate with stakeholders in different functions to define data collection and analysis requirements and establish adequate business understanding to provide effective analysis; evaluate new technologies, vendors, and cloud services to further strengthen business; and develop new modeling techniques and tools for analytics and reporting. Option to work remotely is available.
Position requires a Master’s degree, or foreign equivalent, in Statistics, or a closely related field of study, plus 2 years of experience in the job offered, or as a Research Consultant, or similar position performing descriptive data analysis, statistical analysis, predictive modeling, and data processing position. Must have 2 years of experience performing descriptive data analysis, statistical analysis, predictive modeling, and data processing. Specific experience must also include: performing descriptive, statistical and predictive data analysis to address real business problems; implementing new programs and initiatives, using SQL, SAS, Python, and R; processing large datasets from different sources for reporting; and working with the following software: Tower Watson Emblem, ArcGIS, and IBM SPSS Modeler. Option to work remotely is available.
Full time position. Apply by submitting your resumes at Farmers.com/Careers, Job ID: 17215.
.
#LI-DNI
LIXfarmers1
#nodice
Benefits
Farmers offers a competitive salary commensurate with experience, qualifications and location.
Bonus Opportunity (based on Company and Individual Performance)
401(k)
Medical
Dental
Vision
Health Savings and Flexible Spending Accounts
Life Insurance
Paid Time Off
Paid Parental Leave
Tuition Assistance
For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer
Job Location(s): US - RI - Warwick-700
Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.


Sr Data Scientist Ads Prediction Machine Learning

Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Machine Learning Data Scientist to work within the Ads Data Science team. You will work closely with engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has solid business acumen and understands what is important to advertisers.
Responsibilities:

Build optimization algorithms that improve ad yields and efficiencies. Some of the models we developed over the last year are CTR (Click Through Rate) and CVR (Conversion Rate) Prediction models for the ads. You will not only work on improving existing optimization Machine Learning models but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some algorithms/techniques are Logistic Regression, Gradient Boosted Decision Trees and Deep Learning methods,
Be involved in all phases of modeling, such as ideation, offline modeling, online implementation,experimentation,deployment and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in designing and running experiments.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

Required Qualifications:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Experience collaborating with engineers, product managers, and other cross-functional teams
A minimum of 5 years of experience (minimum of 2 years with a Ph.D.) in one or more of the following: ML Modeling, Ranking, Recommendations, or Personalization systems.
Experience in online 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: $183,500 - $275,300.
#LI-Remote #LI-NH1


Data Science Intern

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

Who We Are
The data team strives to build out the central nervous system for the whole company in order to drive better and faster decisions via data. Our charters include both Data Engineering and Data Science. It is our responsibility to build world class data infrastructure and tooling to enable company-wide analytics, create insights & models and data products to drive business growth at scale.

We are passionate about helping our graduates kick start their careers through our Development Program. Our graduate training program is underpinned by a development framework that broadens and deepens your knowledge. As a member of the team you will:
-Hone your technical toolkit and soft skills
-Learn from hands-on coaching and an outstanding variety of work
-Develop business, personal and technical skills to use throughout your career
-Be part of an organization who enables development teams to improve Confluent Quality

Your Impact & Who You Are:
As a Data Scientist Intern, you will:
 -Partner with Product and Engineering teams to solve problems using data, identify trends and opportunities, and extract useful product insights

 -Define, evaluate, and productize success metrics to improve understanding of our products

 -Apply modeling techniques to optimize results and guide strategic decisions

-Currently enrolled in Computer Science, Statistics, Operational Research or related Masters or Ph.D program with at least 1 semester/ year of school remaining
-Able to code using SQL or Python (data manipulation)
-Someone who has excellent communication skills both written and verbal
-Smart, humble, and empathetic
-Maintains a positive can-do attitude
-Have a strong sense of teamwork and put team’s and company’s interests first
-You work to a high standard and have a healthy appetite to learn from the team and autonomously
-Driven and excited about challenges of a fast-paced, team oriented & innovative software startup environment
-You display an excitement and passion for your work

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Senior Data Scientist

Why Divvy?

At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.

We’re searching for a Senior Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.

Skills & Experience

You have 3+ years of experience working in data science
You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience

Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers

Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.


Data Scientist

Why Divvy?

At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.

We’re searching for a Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.

Skills & Experience

You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience

Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers

Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.


Senior Data Scientist

Job Title: Senior Data Scientist
Location: Remote - US

WHY YOU’LL LOVE SALESLOFT:
Put Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
These are the values that define who we are, that have empowered our staggering growth, and could be instrumental to your career development
Headquartered in Atlanta, Georgia, with offices in San Francisco, New York, London, Indianapolis, and Guadalajara, Salesloft is growing rapidly and is looking for future Lofters to join our team.  As a testament to our Organizational Health, Salesloft has been named by Forbes as one of America’s Best Startup Employers in 2020, twice by Deloitte as a ‘Fastest-Growing Technology Company in North America,’ featured by The New York Times as a start-up on a path to a $1B valuation, and has been recognized as a ‘#1 Best Place to Work in Atlanta’ three separate years.  Salesloft is ranked #1 in the emerging category of Sales Engagement software and is on a mission to equip companies to maximize revenue by creating a fantastic buying experience.
We’re redefining an age old industry! This is challenging work – but our team of brilliant creatives makes the journey thrilling.  We’re fast-paced, innovative, and collaborative.  We pursue excellence in everything and have a lot of fun along the way.  Come join us!

THE OPPORTUNITY:
Although we’re proud of our history, we’re just as excited about the future.  We want to create a world-class culture and company that attracts, develops, engages and retains elite talent.
At Salesloft, our data scientists are pivotal to our company’s success.  You will be a key member of our fast-growing and high-performing data science team and will conduct innovative machine learning research and build product feature prototypes that will deliver value to our customers.
On a day-to-day basis, you will be responsible for solving business problems using our in-house data and your technical prowess.  Specifically, you will:

Drive critical data science projects and initiatives using your technical expertise and leadership.
Apply advanced statistical techniques and concepts to analyze data from the company databases and other unstructured data sources to build innovative product features, marketing content, and internal services.
Invest in the sales engagement domain; collaborate with product, engineering, sales, customer success, and other teams to understand business and customer needs, and translate them to tangible data science problems.
Develop the next generation of AI/ML product features that propel sellers across the world to success.
Design ML architectures and mathematical solutions that are innovative, context-specific and speed up research-to-production timescales.
Contribute to the rapid growth of the research organization, being flexible in data engineering, algorithmist, and analyst responsibilities as they arise.
Always work to “explain your math”. This means both sharing your knowledge with your peers in the team and building interpretable model architectures to programmatically explain results to users and customers.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to leverage your mathematical skills and technical expertise to transform the sales engagement space.  You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:
We are seeking a hungry and passionate person who will be instrumental in growing the data science organization at the most successful early stage SaaS company in Atlanta. We are looking for a skilled senior data scientist who exhibits exceptional data science know-how, strong business sense and deep understanding of software development principles, who chose this profession not just because they love all things data, but also (and even more so) because they want to make an impact and help customers.
If you’re looking for an opportunity to learn more, do more, and become more than previously possible… If you're passionate about innovation, growth and serving customers and thrive in a fast-paced, developmental environment, then becoming a Senior Data Scientist at Salesloft is the career path for you!

THE TEAM:
Our Salesloft’s Data Science team is comprised of seasoned and up-and-coming data scientists, machine learning engineers and a product leaders who are all aligned on one vision and mission:

Vision: Every seller is loved by the buyers they serve (#saleslove)

Mission: Equip companies to maximize revenue by creating a fantastic buying experience

The Data Science team consists of results-oriented technology professionals who are hungry, humble and smart. They are passionate about making Salesloft the leader in AI technologies in the sales engagement space and believe in leveraging data science and machine learning to guide and help our users. They are also the epitome of our core values - Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.

THE SKILL SET:

5+ years experience as a data scientist or machine learning engineer

2+ years experience with deploying data science features in production

Strong knowledge/experience with Python (or similar object oriented programming language) and SQL (any dialect). Experience with Spark or Dask preferred.

Expert in a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.), has a fundamental understanding of their real-world advantages/drawbacks as well as ability to build their own novel techniques

Excellent verbal and written communication skills and visualization abilities
Prior experience of working with unlabeled and unstructured data

Experience with time series forecasting and/or natural language processing preferred

WITHIN ONE MONTH, YOU’LL:

Attend Salesloft’s New Hire Orientation, where you will learn our Salesloft story and understand what makes our “Lofters” unique
Begin 1:1’s with your manager, understand your 30-60-90 plan, meet & shadow current members of the Salesloft team, and delve into your territory
Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them
Meet key partners in Product, Engineering, Customer Success etc.
Begin your first data science project

WITHIN THREE MONTHS, YOU’LL:

Create a shadowing plan and begin executing it to understand the Salesloft platform.
Apply various machine learning and data science techniques to solve sales business problems.
Lead and deliver your first research project.
Communicate research results to product and engineering leadership in verbal, visual, and written mediums.
Mentor other team members and assist them in tackling new problems.
Get into the habit of receiving and providing feedback regularly and freely with your teammates

WITHIN SIX MONTHS, YOU’LL:

Significantly contribute to team planning and estimation.
Continue to focus on your OKRs and delivering data science research.
Advise product leadership on data science data capture and collection requirements.
Collaborate with our machine learning engineers and software engineers to put your models in front of our customers.
Guide team and set direction on architectural and tooling best practices.

WITHIN TWELVE MONTHS, YOU’LL:

Be a key advisor on team direction and Salesloft’s long-term data science strategy.
Lead strategic initiatives to improve team processes, strengthen technical capabilities and/or inform our AI/ML product roadmap.
Collaborate with subject matter experts to develop success criteria to deliver new products, features and models.
Push the state of the art and apply the latest advances in deep learning and mathematical modeling to improve buyer and seller experiences.

IS THIS ROLE NOT AN EXACT FIT? Keep an eye on our Careers Page for other positions!

WHY SHOULD YOU WORK AT SALESLOFT:

You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
You will work with an amazing team you can learn from and teach
You will experience joining a high-growth/high-traction organization
You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
We have a vibrant, open office that utilizes modern technology

You will grow more here than you would anywhere else, that is a promise

Salesloft is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.


Data Scientist

Job Title: Data Scientist
Location: Atlanta / NE Remote

WHY YOU’LL LOVE SALESLOFT:
Put Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
These are the values that define who we are, that have empowered our staggering growth, and could be instrumental to your career development
Headquartered in Atlanta, Georgia, with offices in San Francisco, New York, London, Indianapolis, and Guadalajara, Salesloft is growing rapidly and is looking for future Lofters to join our team.  As a testament to our Organizational Health, Salesloft has been named by Forbes as one of America’s Best Startup Employers in 2020, twice by Deloitte as a ‘Fastest-Growing Technology Company in North America,’ featured by The New York Times as a start-up on a path to a $1B valuation, and has been recognized as a ‘#1 Best Place to Work in Atlanta’ three separate years.  Salesloft is ranked #1 in the emerging category of Sales Engagement software and is on a mission to equip companies to maximize revenue by creating a fantastic buying experience.
We’re redefining an age old industry! This is challenging work – but our team of brilliant creatives makes the journey thrilling.  We’re fast-paced, innovative, and collaborative.  We pursue excellence in everything and have a lot of fun along the way.  Come join us!

THE OPPORTUNITY:
Although we’re proud of our history, we’re just as excited about the future.  We want to create a world-class culture and company that attracts, develops, engages and retains elite talent.
At Salesloft, our data scientists are pivotal to our company’s success.  You will be a key member of our fast-growing and high-performing data science team and will conduct innovative machine learning research and build product feature prototypes that will deliver value to our customers.
On a day-to-day basis, you will be responsible for solving business problems using our in-house data and your technical prowess.  Specifically, you will:

Apply advanced statistical techniques and concepts to analyze data from the company databases and other unstructured data sources to build innovative product features, marketing content, and internal services.
Invest in the sales engagement domain; collaborate with product, engineering, sales, customer success, and other teams to understand business and customer needs, and translate them to tangible data science problems.
Develop the next generation of AI/ML product features that propel sellers across the world to success.
Design ML architectures and mathematical solutions that are innovative, context-specific and speed up research-to-production timescales.
Contribute to the rapid growth of the research organization, being flexible in data engineering, algorithmist, and analyst responsibilities as they arise.
Always work to “explain your math”. This means both sharing your knowledge with your peers in the team and building interpretable model architectures to programmatically explain results to users and customers.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to leverage your mathematical skills and technical expertise to transform the sales engagement space.  You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:
We are seeking a hungry and passionate person who will be instrumental in growing the data science organization at the most successful early stage SaaS company in Atlanta. We are looking for someone who enjoys, and is unafraid of, getting their hands dirty with unstructured, unlabeled data and can think out of the box to solve business problems.
If you’re looking for an opportunity to learn more, do more, and become more than previously possible… If you're passionate about innovation, growth and serving customers and thrive in a fast-paced, developmental environment, then becoming a Data Scientist at Salesloft is the career path for you!

THE TEAM:
Our Salesloft’s Data Science team is comprised of seasoned and up-and-coming data scientists, machine learning engineers and a product leaders who are all aligned on one vision and mission:

Vision: Every seller is loved by the buyers they serve (#saleslove)

Mission: Equip companies to maximize revenue by creating a fantastic buying experience

The Data Science team consists of results-oriented technology professionals who are hungry, humble and smart. They are passionate about making Salesloft the leader in AI technologies in the sales engagement space and believe in leveraging data science and machine learning to guide and help our users. They are also the epitome of our core values - Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.

THE SKILL SET:

2+ years experience as a data scientist or machine learning engineer

Strong knowledge/experience with Python (or similar object oriented programming language) and SQL (any dialect). Experience with Spark or Dask preferred.

Proficient in a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.) and has a fundamental understanding of their real-world advantages/drawbacks
Excellent verbal and written communication skills and visualization abilities

Experience with deploying data science products in production or collaborating with engineers to deploy in production preferred

Prior experience of working with unlabeled and unstructured data. Experience with time series forecasting and/or natural language processing preferred.

WITHIN ONE MONTH, YOU’LL:

Attend Salesloft’s New Hire Orientation, where you will learn our Salesloft story and understand what makes our “Lofters” unique
Begin 1:1’s with your manager, understand your 30-60-90 plan, meet & shadow current members of the Salesloft team, and delve into your territory
Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them
Meet key partners in Product, Engineering, Customer Success etc.
Understand our various data sources and get your hands dirty with them
Explore our technical stack and infrastructure and get comfortable with them

WITHIN THREE MONTHS, YOU’LL:

Create a shadowing plan and begin executing it to understand the Salesloft platform.
Apply various machine learning and data science techniques to solve sales business problems.
Create custom ETL capabilities to support your research efforts.
Complete and deliver your first research project.
Communicate research results to product and engineering leadership in verbal, visual, and written mediums.

Get into the habit of receiving and providing feedback regularly and freely with your teammates.

WITHIN SIX MONTHS, YOU’LL:

Contribute to team planning and estimation.
Continue to focus on your OKRs and delivering data science research.
Advise product leadership on data science data capture and collection requirements.
Collaborate with our machine learning engineers and software engineers to put your models in front of our customers.

WITHIN TWELVE MONTHS, YOU’LL:

Mentor other team members and assist them to tackle new problems.
Be a key advisor on team direction and Salesloft’s long-term data science strategy.
Collaborate with subject matter experts to develop success criteria and deliver new products, features and models.
Push the state of the art and apply the latest advances in deep learning and mathematical modeling to improve buyer and seller experiences.

IS THIS ROLE NOT AN EXACT FIT? Keep an eye on our Careers Page for other positions!

WHY SHOULD YOU WORK AT SALESLOFT:

You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
You will work with an amazing team you can learn from and teach
You will experience joining a high-growth/high-traction organization
You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
We have a vibrant, open office that utilizes modern technology

You will grow more here than you would anywhere else, that is a promise

Salesloft is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.


Senior Data Scientist

Senior Data Scientist
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will require a hands-on Data Scientist with experience in modeling challenging Data Science use cases.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes.  We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities

Drive Turntide business insight through data and machine learning techniques in combination with engineering and domain expertise
Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders and external customers
Represent as a subject matter expert (SME) in Data Science and predictive maintenance solutions within Turntide
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our ourselves and our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline
Specific innovation focus areas include building solutions to allow for community data scientist activation (accelerating time to insight / value), leveraging AI/ML for task automation and the development of autonomous systems through advancements in simulation capability, digital twins and control optimization

The Requirements

7+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
M.Sc. Degree in Mechanical Engineering, Computer Science, Math or equivalent. Ph.D. Degree is preferred
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability

Bonus Points

Experience with cloud based data science platforms like AWS, Azure or DataIku
Experience in technology innovation practices
Proven track record of successful publications

The Upside

Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry

Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note:  Direct applications only.  No unsolicited Staffing Recruitment Firm submissions will be accepted.  Any unsolicited CVs received will be treated as the property of Turntide Technologies.


Data Scientist Building Automation Systems
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will involve the conception, planning, research, analysis, and implementation of advanced analytics for Building Automation Systems (BAS). Your work will minimize energy costs, reduce unplanned downtime, and deliver operational insights to our Building customers.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes.  We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities

Drive Turntide business insight through data and machine learning techniques in combination with engineering and domain expertise
Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders and external customers
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our ourselves and our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline
Specific innovation focus areas include building solutions to allow for community data scientist activation (accelerating time to insight / value), leveraging AI/ML for task automation and the development of autonomous systems through advancements in simulation capability, digital twins and control optimization

The Requirements

4+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
M.Sc. Degree in Mechanical Engineering, Computer Science, Math or equivalent. Ph.D. Degree is preferred
Experience in developing analytics for HVAC/Refrigeration or Building Automation Systems (BAS)
Knowledge of a variety of machine learning techniques (time series models, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability

Bonus Points

Experience with cloud based data science platforms like AWS, Azure or DataIku
Experience in technology innovation practices
Knowledge of data visualization best practices and tools (Tableau, QlikView, PowerBI, Python plotting libraries)
Knowledge of Variable Refrigerant Flow (VRF) systems

The Upside

Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry

Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note:  Direct applications only.  No unsolicited Staffing Recruitment Firm submissions will be accepted.  Any unsolicited CVs received will be treated as the property of Turntide Technologies.


Data Scientist

Data Scientist
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will require a hands-on Data Scientist with experience in modeling challenging Data Science use cases.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes.  We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities

Drive Turntide business insight through data and machine learning techniques in combination with mechanical engineering expertise

Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders, external customers, and other teams to build trust in Data Science
Become a  subject matter expert (SME) in Data Science and predictive maintenance solutions within Turntide.
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline

The Requirements

3+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
B.S. Degree in Mechanical Engineering, Computer Science, Math or equivalent. M.S. Degree is preferred
Experience using machine learning to solve predictive maintenance use cases on machinery.
A strong technical understanding of mechanical devices and mechanical principles
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability

Bonus Points

Experience with cloud based data science platforms like AWS, Azure or DataIku
A strong technical understanding of battery and electric vehicle systems, fault detection & diagnostics (FDD) and mechanical systems
Experience deploying machine learning pipelines into production, including setting up recurring data ingest and model training as well as recurring alerts and assisting stakeholders to derive direct value.
Experience in deep learning or image recognition

The Upside

Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry

Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note:  Direct applications only.  No unsolicited Staffing Recruitment Firm submissions will be accepted.  Any unsolicited CVs received will be treated as the property of Turntide Technologies.


Applied Data Scientist

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for
We are currently seeking Applied Data Scientists to support our work within our Research and Insights department at all levels. The sectors within our ADS Research and Insights departments that we are currently hiring for are related to our political and nonprofit work, as well as our commercial business clients. Your level will be determined during your interview process based on the current and future needs of the business.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science.
Responsibilities

An Applied Data Scientist is responsible for the end-to-end execution of new client engagements utilizing data science, which includes:

Unifying large 1st- and 3rd-party datasets and building predictive models
Deriving clear, actionable, and timely insights from analyses
Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
Working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions

Other job responsibilities of an Applied Data Scientist include:

Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages

Travel requirements: < 5%

Minimum Qualifications

Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
Proven affinity for and experience working with large or messy data sets

SQL experience a plus

Experience with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Experience with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization

Preferred Qualifications

Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.)

Who we are
At Civis, we have opportunities for applicants who are newcomers, seasoned professionals, and anywhere in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily and we trust and encourage you to act on your ideas – no matter how big they are. We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo and finding new ways to grow our company and each other.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.

To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.

Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact internalrecruiting@civisanalytics.com
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Data Scientist

We are building the future of freight

Mothership's groundbreaking technology is unlocking the world's potential by making freight delivery more efficient. Founded in 2017, we're backed by some of venture capital's best investors and have already become the logistics backbone for many of today's most innovative companies.

Mothership is looking for our first Data Scientist to help better understand our carriers, identify how we can optimize our routes, elevate demand density and strengthen traffic recognition.

As the first Data Scientist, you will exude a passion for developing powerful mission-critical statistical and machine learning models, as your goal will ultimately be to investigate and develop a core strategy that will make us the strongest and fastest freight provider in the United States. In order to work cross-functionally across the organization, great communication and willingness to take risks and push boundaries will be required.

What You'll Do

Make significant and early contributions to the direction and role of data science at Mothership
Help the product and engineering teams make data-driven decisions
Hands on work with geospatial data
Design, implement, and evaluate A/B tests
Build datasets and train machine learning models
Build dashboards and data visualizations
Work with and learn from leaders from all departments within the organization

Qualifications

Bachelor’s degree or higher in Statistics, Computer Science, or equivalent
Experience working within a well-established organization or at a high-growth company
Proficiency in data science, machine learning, descriptive and inferential statistics, and A/B testing
Experience using statistical techniques to answer business questions and make data-driven decisions
Ability to select, train, and evaluate machine learning models for a variety of use cases
Ability to jump in and fix or extend open-source projects
Excellent communication skills, and ability to communicate complex technical information to both professionals and non-specialists

Technologies We're Working With

ETLs
SQL
Looker
Python
Jupyter Notebooks
Pandas
Scikit-Learn
SciPy
Tensorflow
PyTorch

Benefits & Perks

Highly competitive salary and the opportunity to earn employee stock options
Full health, dental and vision insurance coverage (PPO)
401k (4% matching)
Unlimited paid time off
Equipped with the latest technology
Remote workplace stipend

Culture at Mothership

We’re an ambitious, endlessly curious, and open-minded group. Our team is passionate about our mission and eager to produce work at the highest level. The environment is upbeat and supportive because we care about each other and believe positive momentum equals better outcomes.

If this sounds like a place you’d be a great addition to, let’s chat.


Senior Product Data Scientist

Lucid is a research technology (ResTech) platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.

As a Senior Data Scientist at Lucid you will have the opportunity to collaborate with product and engineering teams to work on survey design and measurement, identity resolution, trust & safety and more. This includes product analyses, validation and establishing statistical methodology and modeling standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.

This role is open to candidates living in the United States to work remotely or from one of our US-based office locations (New Orleans, Dallas, New York)

The ideal candidate for this role will have 3-5+ years of hands-on professional data science experience

#LI-Remote
#LI-AV2

Responsibilites

Lead research, discovery and development phase for new and existing products. The primary areas include: identity, outlier detection, survey design and measurements, conversions, feasibility and funnel optimization.
Independently and confidently carry out project planning, development and maintenance - end to end with minimum or no supervision.
Analyze large and diverse datasets to extract impactful insights that can drive product strategy.
Collaborate with cross-functional teams to design, implement, and test new and existing products - develop and maintain statistical modeling and methodologies.
Ongoing evaluation and validation of both internal and external products to ensure Lucid’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

Must have minimum 3-5 years working experience in data science capacity.
Must have a minimum Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
Ability to manipulate, analyze, and interpret large data sources independently.
Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling and more).
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision-trees etc) and their real-world advantages/drawbacks.
Must have working knowledge in application of statistical and modeling techniques.
Comfortable in researching and learning new methods, tools and techniques.
Must be able to independently and confidently carry out projects end to end with minimum or no supervision.
Proficient in Python (as statistical and ML package tools).
Proficient in SQL and working with large-scale databases.

Nice to have

Experience in media measurement and digital attribution
Experience in multivariate testing
Experience in online survey methodologies
Experience employing causal inference methods
Experience in Identity graphs and fraud detection methodologies
Experience working with big data technologies (e. g. Spark)

Lucid's Hiring Commitment

We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.

We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.

At Lucid we foster a collaborative and inspiring workplace.  We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.


Product Data Scientist

Lucid is a research technology (ResTech) platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.

As a Data Scientist at Lucid you will have the opportunity to collaborate with product and engineering teams to work on survey design and measurement, identity resolution, trust & safety and more. This includes product analyses, validation and establishing statistical methodology and modeling standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.

This role is open to candidates living in the United States to work remotely or from one of our US-based office locations (New Orleans, Dallas, New York)

The ideal candidate for this role will have 2-3+ years of hands-on professional data science experience

#LI-Remote
#LI-AV2

Responsibilites

Support research and discovery phase for new and existing products. The primary areas include: identity, outlier detection, survey design and measurements, conversions, feasibility and funnel optimization.
Collaborate with cross-functional teams to design, implement, and test new and existing measurement products - develop and maintain statistical modeling and methodologies.
End to end development and maintenance of Lucid’s measurement products.
Ongoing evaluation and validation of both internal and external products to ensure Lucid’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

Must have a minimum 2+ years solid working experience in data science capacity.
Must have a minimum Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
Ability to manipulate, analyze, and interpret large data sources.
Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling and more).
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision-trees etc) and their real-world advantages/drawbacks.
Must have working knowledge in application of statistical and modeling techniques.
Proficient in Python (as statistical and ML package tools).
Proficient in SQL and working with large-scale databases.
Comfortable in researching and learning new methods, tools and techniques.

Nice to have

Experience in media measurement and digital attribution
Experience in multivariate testing
Experience in online survey methodologies
Experience employing causal inference methods
Experience in Identity graphs and fraud detection methodologies
Experience working with big data technologies (e. g. Spark)

Lucid's Hiring Commitment

We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.

We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.

At Lucid we foster a collaborative and inspiring workplace.  We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.


Data Scientist Trust Safety

Clubhouse is a new type of social product based on voice. It allows people everywhere to talk, tell stories, develop ideas, deepen friendships, and meet interesting new people around the world.

Our early users love the product and we have been featured in publications like The New York Times, Forbes, The Telegraph, TechCrunch, CNBC, and WIRED. Today, we are a small and productive team with a strong background in consumer products. We are well funded, with recent backing from top-tier VCs and many of the best angel investors from Silicon Valley and beyond.

We are seeking to add a few extraordinary people to our growing team. If you think you would be a good fit, please let us know! 🙏

The Role

As a Trust & Safety Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings.

In this role, you will report to our Head of Data Science. We are a remote friendly-company — with our headquarters in San Francisco, a second office in LA, and a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S.

Who you are

You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.

You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis. You have experience as a data scientist at a fast growing company and have a proven record of impact.

You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.

You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets, and are able to catch data issues as they arise.

You bias towards action. You like to build and ship - favoring practical choices, speed and a respect for sequencing. You focus on the things that matter and push back on things that don’t. You make deadlines for yourself and you move fast.

You’re scrappy and entrepreneurial. You thrive in fast-paced environments and are comfortable with not knowing the answer to something. You are willing to roll up your sleeves no matter what the challenge is.

You take pride in what you do. You care deeply about your work. You read through details and think about every bit of the user experience. If something seems off, you come up with a good solution and fix it without being asked to do so. You’re proactive with suggestions and people know they can count on you to get things done.

You enjoy your work. You love what you do, not because you feel you have to, but because you’re so excited to create something big for the world. Your favorite thing to do is to take on a huge challenge and pull it off.

You care about doing the right thing. You value diversity and go out of your way to ensure others feel welcome. You enjoy hanging out with your teammates, have a low-ego, and make the workplace more fun for everyone.

What you will do

In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that affect millions of people.

There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in new feature launches, ensuring that we understand the impact of policy changes on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.

You’ll grow and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, challenged by your teammates, and growing your skills on a daily basis.

You’ll shape the product strategy. You will get to use your own product (and talk with others while they are using it) every day, and have significant input into its development. Your ideas will always be heard. Your work will vary over time and will cover a variety of areas. On a given day, you may be launching a new way of ranking support tickets, analyzing trends in different types of user behavior, or finding ways to proactively identify content in violation of our policies.

You’ll be an owner. We believe in hiring smart people and giving them as much responsibility as they can handle.

You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together for deep and meaningful conversations, creates new relationships, builds empathy across cultures, entertains people, and helps people develop ideas that change the course of their lives.

As an early team member at Clubhouse you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you!


Data Scientist

OnlineMedEd’s purpose is to change how education is approached, delivered, and learned. We leverage education, technology, and research together to drive it all forward. Our philosophy is simple: medical knowledge belongs to no one, so medical education should be accessible to everyone. So we made a quality baseline education available to the world, for free. Today, we are one of the most widely used medical education platforms globally, playing a key role in creating the next generation of health care professionals. Equipped with enhanced knowledge, reasoning skills, and empathy, this generation of doctors is improving the lives of millions of patients.
We are looking for a full-time Data Scientist to be responsible for shaping, executing, and improving the way we design, implement, and analyze A/B tests at OnlineMedEd. The Data Scientist will also deep-dive our data to provide insights and help stakeholders to make more data-informed decisions.
Why You'll Love Working with Us
You'll be helping transform digital health care education, improving mobility and access for 300k+ users in 193 countries. Our team of talented employees and contractors is aligned to the same purpose and values, with the opportunity to bring our own unique strengths to our roles. Thanks to our welcoming company culture and comprehensive benefits, OnlineMedEd was ranked #4 Best Small Places to Work in 2021 by BuiltInAustin and one of the top Austin-based companies to work for overall.
What You’ll Do as a Data Scientist at OnlineMedEd:
Formulate, design, and execute A/B tests in collaboration with teams and stakeholders across the company, including Product, Marketing, and EngineeringPerform statistical data analyses, including analyzing A/B tests and hypothesis testing Translate analyses into actionable recommendations and communicate findings with both technical and non-technical audiences Track, merge, and share learnings across A/B tests to build internal knowledge and improve the quality of our tests Deep dive product and business data to unearth insights and ideas; leverage data findings to help stakeholders make data-informed decisions Work symbiotically with the business intelligence team to leverage their data and artifacts and extend their work into new analyses Identify potential data science projects that are aligned with organizational goals which will drive value for end-users, internal teams, and our company
Qualifications That Will Help You Excel
2+ years experience with deep data analysis, data wrangling 2+ years experience with designing and analyzing A/B tests Data visualization skills to present and highlight data analysis results Experience with building and wrangling new datasets for analysis Excellent communication skills, including written, interpersonal, and presentation skills, ranging from technical audiences to executive leadership Strong programming skills in SQL Strong programming skills in R and/or Python
Bonus Points If You Have These Skills
Experience with machine learning models
Our Benefits
Salary Range: $110,000 - $140,000 depending on experienceGenuine flexibility in work:Location: Work in the Austin office, work from home, or opt-in to our hybrid model so you can experience the best of both. This role may be fully remote within the United States.Hours: Work a schedule that makes sense for your life.Time off: Unlimited time off lets you celebrate, relax, recharge, recover, or travel the way that works best for you.Preferences: We provide funding to set up your home office space, plus you’ll pick your own laptop, and own it after a year.Enterprise-level health, dental, and vision insurance: OnlineMedEd covers 100% of the premium costs for employees, plus 80% or more of dependent premiums.Health and wellness perks include ClassPass credits, gym membership reimbursements, and virtual coaching for mental health.
Our Core Values
Selflessness: The best results happen when we put the users first, the team second, and ourselves last.Lifelong learning: Monthly Lunch and Learns, weekly presentations, funding for professional development, and 1:1 coaching provide frequent opportunities to learn and grow.Accountability: Take responsibility for your day without being micromanaged. We're focused on doing great work; when and how you do it is up to you.Transparency: We have an open-door policy and a no-blame culture. Salary ranges are transparent to foster pay equity. We value honest communication at every level of the company.Excellence: Focus on being great. Use the equipment you want, take advantage of the flexibility of unlimited as-you-need-it time off, and work when and where it makes sense. We strive to set you up for success.
Diversity in Doing Good
OnlineMedEd is a purpose-driven organization focused on doing well by doing good. We recognize that doing good is best achieved by uniting the unique contributions of individuals with different backgrounds, cultures, perspectives, and experiences. Beyond our equal opportunity employer status, we are committed to recruiting, hiring, training, and supporting the professional development of diverse individuals, regardless of differences, who demonstrate outstanding performance and exemplify our core values.


Data Scientist

Now Brewing – Data Scientists! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
The data scientist will support growth at Starbucks by expanding the reach and scale of forecasting and measurement capabilities to support future planning and decision measurement. In this role, you’ll leverage statistical analysis, time series methods, machine learning, product development, data visualization, and storytelling. Day-to-day work will balance providing short-term analytical guidance and supporting long-term forecasting and measurement product development. You will also have the opportunity to collaborate and immerse with teams across Starbucks, including finance, demand planning, store development, marketing, and loyalty.
As a data scientist, you will…

Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting.

Leverage predictive and inferential advanced statistical and machine learning techniques to solve business problems, including methods to surface uncertainty intervals to provide increased context.

Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.

Drive innovation by proposing and testing novel techniques and technologies to solve known problems and identify new business problems that can be addressed using data science products developed by the team.

We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline
Minimum of 2+ years industry experience in data science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong SQL, databases and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Retail and eCommerce experience preferred
Experience on Cloud platforms such as Azure, AWS, preferred
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark or Scala, preferred

Starbucks and its brands are an equal opportunity employer of all qualified individuals.

We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at applicantaccommodation@starbucks.com


Senior Marketing Data Scientist Partnerships

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ that changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!

We are looking for a Senior Data Scientist, Partnerships, to join our Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately delight our customers.

Partnerships, specifically technology partners, are industry peers with products that complement the Atlassian product suite. Through integrations that unlock combined use cases, our customers are able to accomplish more with their teams from these ‘better together’ capabilities. You’ll be responsible for working with our Marketing, Partnerships, and Product Integrations teams to measure success of rich partnerships and integrations between Atlassian products and popular services such as AWS, Slack, Zoom, Okta, Google, Microsoft, and others (examples appear in Atlassian’s recent investor letter). These partnerships help drive customer acquisition and growth and you’ll play a pivotal role in the company's future success.

In this role you'll get to:

Develop comprehensive program views of go-to-market performance by defining customer journeys, measuring partnership performance and making strategic recommendations for improvement
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and marketing roadmap
Drive the measurement culture and understand the impact our partnership marketing strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. Lead by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On the first day, we'll expect you to have:

Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Marketing, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's great, but not required, if you have:

Previously worked in global teams and high growth companies
An understanding of B2B marketing, business model and metrics
Exposure to two-sided marketplaces
Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
#LI-AW1

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.