Applied Research Scientist Machine Learning

At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers.

While more and more people share their little stories that make your day better or declare manifestos that change the world, our recommendation algorithms and our understanding of natural language have to handle new topics, new interests, new styles, and new audiences every day.

Research at Medium is about helping our team discover connections between readers and writers, from professional journalists to amateur cooks, shared on a beautiful, collaborative tool. Methods we use span from collaborative filtering approaches to supervised and unsupervised learning models, from deep learning to natural language processing techniques.

How do we introduce a new article just published by the Economist about Elizabeth Taylor? Are the movie enthusiasts or the jewelry fans the right audience? Is 'origami' the art of paper folding or a new software? Answering these questions will require you to apply well-studied machine learning approaches, and invent your own algorithmic solutions.

We are looking for an Applied Research Scientist in Machine Learning that will work closely with other engineers to build and train models to recommend the articles that our readers will love, and understand natural language in Medium posts better. You will build machine learning model prototypes, use statistical learning tools to discover structure in our data coming from millions of interactions daily.

  What will you do?

You will select and tune machine learning models and measure their performance for recommendation tasks and many other natural language processing tasks.
You will work closely with system engineers to get your research ideas into production and run experiments.
You will use tools to extract and transform data, engineer features for your model, build offline evaluation tools.
You will apply state-of-the-art machine learning technologies to find the most interesting and relevant content for readers on Medium and help them get value from Medium by measuring model performance in offline and online settings.
You will collaborate with data scientists, product managers, and other engineers across the company.

Who are you?

You have worked for 2+ years on machine learning models for item recommendation and NLP applications.
You have experience working on production machine learning systems at scale, analytics, search, ranking, recommendations, and/or natural language processing.
You have a deep understanding of machine learning models, feature engineering, and how to evaluate model performance.
You are fluent in Python and are familiar with Python ML libraries such as sklearn, TensorFlow and/or PyTorch

Nice to have:
Experience getting models into production, preferably at scale

This role can be based in San Francisco, New York, or be remote within the U.S.

At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.

Interested? We'd love to hear from you.


Data Analyst Scientist Philanthropy

OVERVIEW
Khan Academy is a nonprofit on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of high-quality instructional and practice resources that empowers learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
Khan Academy is looking for an experienced data analyst/ scientist to join our growing team. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.
JOB RESPONSIBILITIES

Identify and measure success of our philanthropy initiatives through goal setting, forecasting, and monitoring/analysis of core metrics
Perform advanced exploratory analyses on large sets of data to extract insights around our donor behavior to guide our philanthropy investments and initiatives
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of our donation campaigns and suggest improvements
Support data-driven narratives across our fundraising activities (i.e. funders, grant commitments)
Contribute to development of self-service analytics tools to enhance data access for the philanthropy team

YOU MAY BE A FIT IF YOU HAVE...

A passion for Khan Academy’s vision and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
2-3 years experience in data science or analytics
Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions
Prior experience working with Marketing/Sales functions is a plus
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)

WE OFFER THE FOLLOWING BENEFITS
We offer the following benefits
We may be a non-profit, but we reward our talented team well!

Competitive compensation salaries
The opportunity to work on high-impact content that's already defining the future of education and improving students’ lives
Ample paid time off as needed – we’re about getting things done, not face time
Generous parental leave
Flexible work and time-off schedules to encourage work-family balance and holidays
Oh, and we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
Affinity groups where parents, Black and Latinx, women and gender minorities, and LGBTQ+ identified folks support one another

HOW TO APPLY
Please submit your resume through the form on our careers page and respond to all of the question prompts to be considered.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status.


Data Scientist Product Analytics

The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for a Data Scientist to work with product partners by understanding our users, contributing to product/growth strategy, and developing fundamental measurement frameworks. This person will be a trusted subject matter expert who will uncover new insights to inform product/growth strategy. Data Scientists at Grammarly work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and need someone with deep technical and analytical skills to break down complex business problems to provide solutions.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Have a broad scope and an evolving role in a rapidly growing company.
Do deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new Product and Growth opportunities.
Opportunity size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Would be an influential and effective thought partner to our product teams who shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
We are looking to hire candidates with varying years of experience in Data Science.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, admission discounts, and more.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.


Senior Data Scientist India

Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform.

Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA.

Chargebee has raised over $230 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we’re on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model.

Summary
The Senior Data Scientist role is a high-impact opportunity to influence decision making and customer opportunities through continuously exploring, finding and sharing actionable recommendations to the Leadership team. You will work with people across functions and teams to deliver business value. You will also help shape the Data Science Team by contributing to hiring and mentoring less experienced members of the team.

We want to work with a technically stellar, forward-thinking individual who can collaborate well.

Responsibilities
Explore, find and share actionable recommendations from dataBuild predictive models and learning systems to enable business strategyEngage with people across functions to surface questions, build hypotheses and test themInfluence the organisation's data science strategyShape the Data Science team through hiring, mentoring and leading projects

Must have
7+ years experience in an analytics role4+ years experience in data science, or similar role Experience in developing machine learning models to run in a production environment

Good to have
Strong communication and narrative skills to present outcomes from analyses and make actionable recommendations Masters or Higher in Computer Science, Statistics, Applied Mathematics, Physics, or other quantitative majors

What makes us who we are:
We are Globally Local: With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood.We value Curiosity: We believe the next great idea might just be around the corner. Perhaps it’s that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, figure out answers to them, and foster a continuous learning environment.Customer! Customer! Customer!: Everything we do is driven towards enabling our customers’ growth. This means no matter what you do, you will always be adding real value to a real business problem. It’s a lot of responsibility, but also a lot of fun.

If you resonate with Chargebee, have a monstrous appetite for curiosity, and an insatiable urge to learn and build new things, we’re waiting for you!
We value people from all backgrounds and are dedicated to hiring and employing a diverse and inclusive workplace.

Come be a part of the Chargebee tribe!
Chargebee might be the opportunity you’re looking for

						If you’re interested in how subscription businesses can get more efficient.

						If you’re hungry to give and receive feedback, fully understanding that challenging perspectives are the only way that you can grow.

						If you can bring empathy to problem solving.

If this sounds interesting but you’re not sure you'll tick all the boxes, apply anyway! There’s tons of room to grow at Chargebee.
Let’s talk
apply with your résumé to get the conversation started

							Apply Now


Senior Data Scientist

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Senior Data Scientist - United States or Canada

Duration: Permanent
Location: United States or Canada
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:

We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions.
Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search.
This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.

Your Next Challenge:

Build industry-leading algorithms for search, personalization, and recommendations, using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Guide and mentor other data scientists and data analysts in formulating and implementing our technical roadmap
Contribute to development our technical ranking strategy alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms and models in the production process

What You’ll Need:

Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 3 years validated experience
Proven expertise providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred

Mental and Physical Demands:

Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Scientist

See yourself at Twilio
Join the team as our next Data Scientist
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to help scale our understanding of the Twilio user experience by modeling customer attributes and behaviors across multiple touchpoints in order to achieve three important outcomes.  First, we want to identify optimizations that can accelerate the path from signup to production.  Second, we want to identify product characteristics that lead to satisfying long-term user experiences.  And finally, we want to classify different types of users based on their characteristics and behaviors.
Our team is small but growing quickly.  You will have the opportunity to make a big impact on a team that is getting a lot of visibility and tackling novel challenges in data modeling.
Responsibilities
In this role, you’ll:

Model the relationship between user characteristics + behaviors and key business outcomes.

Classify different types of users based on their characteristics and behaviors.

Partner with stakeholders from multiple disciplines (PMs, data scientists, data analysts, data engineers, qualitative researchers) to clearly define the problems to be solved.
Communicate insights from your analyses to diverse audiences including non-technical and technical roles.
Plan your work for each quarter (e.g. a deliverables roadmap) and for each 2 week sprint (using Jira).

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:

Significant experience modeling and classifying data using machine learning techniques, including clustering techniques, using Python and/or R in a full time position.
Proficient working with SQL and relational data, including joining, aggregating and filtering data.
A degree in data science, analytics, or related field and relevant experience.  The following are guidelines: Ph.D. + 2 years of relevant experience or a Masters + 5 years of relevant experience or a BS/BA + 7 years of relevant experience.
Strong knowledge of statistics and probability including descriptive statistical concepts like mean, median, mode, variance, the standard deviation;  inferential statistical techniques and concepts like regression, t-test, ANOVA and maximum likelihood estimators; and characteristics of different distributions.
Ability to influence and build effective working relationships with all levels of the organization.
Significant experience with communicating insights from your analyses to diverse audiences including both non-technical and technical roles, including executives.
Data visualization experience, especially Tableau.

Desired:

Experience with time series and/or forecasting methods.
Experience with AWS (Sagemaker, EC2, Lambda, etc.).

Location
This role will be remote, and based in Denver CO, USA.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
*Please note this role is open to candidates outside of Colorado as well. The information below is provided for those hired in Colorado only.
*If you are a Colorado applicant:

The estimated pay range for this role, based in Colorado, is $109,824 - $151,008

Sales Commission: Additionally, this role is eligible to earn commissions and eligible to participate in Twilio's equity plan.
Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.


Senior Data Scientist

About Transfix:

Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology.

Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry.

By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.

The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.

About the Role:

We are seeking a Data Scientist to join and play a critical role in our growing and evolving Data function. In this position, you will implement machine learning models into critical business processes, forecast industry trends, and build data pipelines. You’ll utilize your expertise querying databases, programming, and experience with machine learning and advanced statistical techniques to solve high-priority problems and generate strategic insight for stakeholders. The Data Science team has an ambitious roadmap and we’re looking for someone to elevate the team by upgrading current models and building new ones.

If you have experience building models that have been deployed to solve business problems, love manipulating data, and are looking to grow as a data scientist in a fast paced environment, then this role could be for you!

What You’ll Do In this Role:

Build and upgrade models related to improving our ability to price effectively in the freight auction marketplace
Utilize industry data and key indicators to build forecasting models that predict freight market price changes
Collaborate with and provide analytic and machine learning support for key teams across the organization (such as Sales and Operations)
Query databases and utilize programming languages (such as Python or R) to constantly improve our modeling capabilities and continuously look for ways to add value to the business
Partner with the larger data team on data-driven analysis, key insights, and reports on KPIs

How You Know this Role is For You:

You have a Bachelors and/or Masters degree in Statistics, Mathematics, Computer Science or another quantitative field
You have 5+ years of experience manipulating data sets and building statistical models
You have working experience building models that have been deployed to production and have added tangible value to a business
You have extensive programming experience in a language such as Python or R
You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker
You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning
You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting
You're looking to grow your career in Data Science!
You’re intellectually curious, have a bias for action, show humility and pragmatism, are detail oriented and an outstanding communicator

Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to):

-Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and        protect to prevent inequalities
-Building relationships among our employees, customers, and supporters that are reflective of our community
-Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership
-Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity
-Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice

Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages.

To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.


Data Scientist

Skylight is at the forefront of a civic movement to reinvent how the government serves the public in a digital world.We’re looking for a Data Scientist to join our talented team of technologists in driving this movement forward.You’ll be a key part of our small, but rapidly growing team, which consists of former Presidential Innovation Fellows, founders of 18F, and members of the U.S. Digital Service.We work in small, fast, agile teams to create exceptional customer experiences and enduring solutions out of the government’s most complex design and technology challenges. The work is challenging, but highly rewarding.What you’ll do:   Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data  Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Select and use the right tools, frameworks, languages, and technologies for the job, with a preference for open-source solutions Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists Represent Skylight's culture of delivery when interacting with government stakeholders and other contractors  What we’re looking for:  In-depth knowledge of computer science, statistics, and/or mathematics Experience using advanced statistical and data-mining techniques such as regression, properties of distributions, and statistical tests Expertise in programming languages/frameworks such as Java/Scala, R, Python, and SQL Experience with distributed data/computing tools such as Spark, Hadoop, and Hive Experience using web services such as Redshift and S3 Expertise in machine learning and deep-learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, and Apache Spark MLlib Experience using business intelligence tools such as Tableau, SAS, Microstrategy, and Looker Experience working with notebooks such as Jupyter, Zeppelin, and Databricks Notebook Experience visualizing/presenting data to stakeholders using tools such as Matplotlib, Seaborn, and D3 Strong analytical and problem-solving skills Strong business acumen and curiosity  A drive to learn and master new technologies and techniques Ability to select and use the right tools for the job, particularly open-source solutions Ability to communicate clearly to technical and non-technical audiences Experience working within a multidisciplinary, agile team format A mindset and work approach that aligns with our core values Ability to travel from time to time (when it's safe) We focus on supporting you in a variety of ways: Competitive salary Medical insurance, dental insurance, vision insurance Short-term and long-term disability insurance Life and AD&D insurance Dependent care FSA, healthcare FSA, health savings account Dollar-for-dollar 401(k) match up to 10% of your salary Flexible paid-time-off policy (minimum of 29 days), which covers any type of leave (such as holiday, sick, and vacation) that you need or want to take Minimum of 9 weeks paid time off for all eligible new birth, adoption, or foster parents Performance rewards, including annual salary increase, annual performance bonus, spot bonuses, and stock options Business development / sales bonuses Referral bonuses Annual $2,000 allowance for professional development Annual $750 allowance for tech-related purchases Annual swag budget of $50 to display your Skylight pride with some merchandise (hoodies, hats, and more) Dollar-for-dollar charity donation matching, up to $500 per year Access up to $1,000 before payday to cover emergency expenses Remote-friendly work environment An environment that empowers you to unleash your superpowers for public good We participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.We're an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.


Data Scientist Risk Modeler

Imagine what we can INSPIRE with you
Moody’s empowers people to make better decisions and achieve brighter futures. This is what motivates us to bring out the best in our products and our people. Join us. Forward Together.
Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more atmoodys.com.
Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.
Department
We are looking for a senior risk modeler to join our Moody’s Analytics business analytics team. Our team is directly involved in the development of a wide range of analytical solutions, including credit risk, interest rate risk, liquidity risk, ESG and climate risk. On this role you may also participate in consulting projects with major banks and other institutions worldwide. Being a part of truly global Moody’s Analytics team, risk modelers contribute to diverse projects in every phase, including data analysis, methodology design, model development and enhancement, documentation writing, results delivery and interpretation. We are looking for collaborative, highly motivated individuals with strong quantitative and communication skills, willing learn and develop in a very dynamic and multicultural environment.
Role/Responsibilities
Moody’s Analytics Economics Division, located in New York, NY, is a leading independent provider of economic, financial, country, and industry research designed to meet the diverse planning and information needs of businesses, governments, and professional investors worldwide. You would be responsible for credit modeling, including the development, implementation, and validation of probability of default (PD) and loss given default (LGD) models using state-of-the-art statistical and econometric techniques.  Emphasis is on retail credit but with some exposure to corporate and other forms of risk modeling in partnership with sister companies within Moody’s. You would also be responsible for forecasting and simulation exercises, with emphasis on stress testing under alternative scenarios; contract consulting work with major financial institutions and other industry players worldwide.  The successful applicant would be involved in proposal writing, modeling specification, estimation and validation, final reports and documentation writing; meeting with clients to discuss proposed and current projects; making presentations at conferences; and general client service, including serving as primary point of contact for credit modeling issues.
Qualifications
The ideal candidate would have a BA or Master’s degree in Finance, Statistics or Economics. Industry experience in quantitative risk modeling and/or loss forecasting is preferred though candidates with strong analytical backgrounds and programming skills (Ex: Stata, SQL, R, Matlab, C++, Python) will be considered.  Ability to communicate technical subject matter clearly and concisely to individuals from various backgrounds is a plus.  Excellent writing, presentation, project management and interpersonal skills are required.
Moody’s is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.  Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws.  If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please emailaccommodations@moodys.com.  This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.  For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act.  For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law.  Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position.  Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.


Data Scientist Sr Data Scientist

Job description
About Us
vidIQ’s mission is to advance the creator's journey with actionable data-driven insights. We pursue this through our values of being creator obsessed, lean and fast, and being scientific. We have already helped millions of creators take their channels to the next level. Simply put, we change lives.
Why Join Us?
Our work is exciting as we are transforming the creator analytics space. This has provided many of us the opportunity to work on new and exciting projects. Equally, we’ve set up our people for success by giving them professional development opportunities like courses or conferences that will help them acquire desirable skills/experience.
Our company has met the future of work head on, with a fully remote company, capable of giving you flexibility to balance work and life.  When it’s time to go on a break, we have an unlimited vacation policy so you can recharge. Lastly, we celebrate our wins and try to enjoy work by going on fun retreats to exciting destinations, such as Spain, Portugal and amazing places to come.
We are committed to diversity and inclusion. We work hard to enable creators of all kinds to succeed and, to that end, we prioritize diverse talent and an inclusive environment that encourages collaboration and creativity. We’re committed to building a company and a community where people thrive by being themselves and are inspired to do their best work every day.
What you will be doing
Help build the machine learning-powered algorithm products that make vidIQ a leader in the video analytics spaceDesign, prototype, help engineers to implement, and A/B test innovative algorithms that work at scale, drawing on recommender systems, natural language processing, computer vision, and other relevant domainsBe an advocate for and help to identify new machine learning and AI product opportunities for the businessWork closely with cross-functional teammates, including product managers, engineers, designers, and product analysts, to deliver the highest impact to our users

Job requirements
Who you are
3+ years of relevant industry experienceAdvanced degree in machine learning, computer science, statistics, biostatistics, mathematics, or related quantitative fieldExperience shipping at least one commercial product using deep learning in the area of NLP or computer vision at B2C-like scale  as well as working with cross-functional teams in an agile-like environment.Strong understanding of various neural network architectures (CNN, RNN, LSTM) specifically applied to solve NLP and/or computer vision problems, with an emphasis on Transformer-based architecturesDeep understanding of word embeddings, BERT, GPT, text classifiers, transfer learning, text mining, and text labelling conceptsSubstantial experience with multiple technologies and libraries from the following list: Tensorflow/Keras, PyTorch, pandas, sklearn, Huggingface, Gensim, and spaCyYou have a strong grasp of machine learning fundamentals and ability to design intuitive, working ML solutions in response to complex business problemsYou have a strength in the “design and prototype” part of the ML development pipeline, beginning with pulling datasets using SQL and ending with serializing ML models and assisting engineers to productionize model retraining and model serving systemsYou have no problem with communicating ML/algorithm designs clearly to cross-functional team members, especially engineers and product managersYou are well versed in SQL data warehouses such as Redshift and Snowflake, have worked on current ML tools such as TensorFlow, PyTorch, and Python, and feel comfortable with recommender systems, natural language processing, or computer visionTo take it one step further, you are effective at translating and blending traditionally distinct ML concepts such as recommender systems, NLP, regression, and classification into a common framework such as TensorFlow


Senior Analyst Data Science Sportsbook

The strategy behind the game.
We’re growing rapidly and are searching for a Senior Analyst to drive insights for our Data Science Product team while focusing on our Sportsbook vertical. The Data Science Product team is in charge of crafting the overall strategy for Data Science and defining the project requirements and goals for our Data Science Engineers.  In this role, you’ll be responsible for partnering with our Product Managers and using data to prioritize our product roadmap and measure the success of key initiatives. You will help guide the future of our products, specifically Online Sportsbook. You will work cross-functionally to identify high-value opportunities to implement data science and generate insights to improve the performance of existing products. Sound good to you? Join us.
What you’ll do as a Senior Analyst, Data Science Product:
  Conduct open-ended analysis on Sportsbook product navigation and customer journeys to create and prioritize the Data Science roadmap for recommendations.     Define measurable goals for existing and future Data Science products and create dashboards to monitor the performance of these critical success metrics.     Set up and analyze experiments comparing Data Science algorithms against each other to test hypotheses and drive value for the business.     Partner with the data science team to develop algorithms and models to best personalize the experience for Sportsbook customers.     Mentor and coach other analysts across the business.
What you’ll bring:
  2+ years of analytics or data science experience.     Bachelor’s degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, or another relevant discipline.     Ability to take complicated problems and create simple, analytical frameworks.     Comfortable synthesizing technical analysis and presenting to cross-functional audiences.     Expertise with SQL, Excel and R, Python, or another statistical programming language.     Familiarity with Tableau or similar data visualization tools.     Experience with inferential statistics and predictive modeling.     Ability to work autonomously, with a strong desire to produce high-quality work.
This position can sit in either Boston, MA or remote; however, this work is to be performed entirely outside of Colorado.
#LI-DC1

Who are we a good fit for?
We love working with talented people but more than that, we seek out compassionate co-workers with a collaborative spirit. Our work moves quickly and we’re great at coming together to find creative solutions to some of tech’s most interesting problems. If that sounds good to you, join us.
We are DraftKings.
We’re inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space propelled by constant curiosity and diverse perspectives.Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence.
Join Us!
We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
Ready to build what’s next? Apply now.
As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.


Data Scientist People Analytics

Love data? We do too.
The People Analytics team is a new and rapidly growing function within the People organization. We are using analytics and data science to help DK employees work better, be more engaged and reach their full potential.  We are searching for a data scientist who is a self-starter, creative, and passionate about conducting impactful applied research.
Our rapid growth and global expansion presents an opportunity for driving efficiencies across the business, especially for our most valuable asset - our people. In this role, you will leverage advanced quantitative methods to derive actionable insights and make related programmatic recommendations. You’ll focus on key People Analytics opportunity areas such as - performance, productivity, organizational effectiveness and quality of hire.
What you’ll do as Data Scientist, People Analytics:
  Generate new insights using large data and make recommendations on additional data collection     Conduct research and build predictive models for the integral points in the employee lifecycle.     Translate stakeholder needs into analytical requirements through close collaboration with the People team leaders.     Communicate key insights and recommendations to executive leaders across the organization.     Be a thought-leader on the People team by elevating analytical knowledge and maturity across all People functions.
What you’ll bring:
  Master’s or PhD degree in a qualitative field (such as Economics, Psychology, Statistics, Computer Science)     1+ years of experience in an applied data science role      Experience applying statistical concepts in research (such as regression modeling, causal inference/quasi-experimental methods, data transformation); Knowledge of Bayesian methods     Experiencing managing and analyzing data using R or Python (or a similar language; Proficiency in SQL      Strong analytical and critical thinking skills.     Ability to work in a fast-paced, results-driven environment.     Comfortable working autonomously with a strong desire to produce high-quality work.     Passion for continued learning and growth in the applied analytics space

Who are we a good fit for?
We love working with talented people but more than that, we seek out compassionate co-workers with a collaborative spirit. Our work moves quickly and we’re great at coming together to find creative solutions to some of tech’s most interesting problems. If that sounds good to you, join us.
We are DraftKings.
We’re inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space propelled by constant curiosity and diverse perspectives.Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence.
Join Us!
We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
Ready to build what’s next? Apply now.
As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.


Data Scientist

Jellysmack is the global creator company that detects and develops the world's most talented video creators on social media. We're an optimistic crew who naturally goes the extra mile, has a glass-half-full mindset, and sees challenges as opportunities. We look for positive people who think outside the box, are inventive, bold, lead change, and believe that teamwork matters.
The Team Culture
Our job is to take numbers and turn them into reasons to celebrate! Data drives everything we do at Jellysmack and is thus essential to the company. Data is at the heart of our success, and it drives the content we create and how we edit videos so we can optimize everything we publish. Everyone on our team is capable of going above and beyond the call of duty. Our goal is to gather and analyze data to help the company grow. Do you have what it takes to be part of our team?
The Role
As a Data Scientist, you will be responsible for product development using data science, all in a strong spirit of collaboration. You will also participate in a guild made up of thirty data scientists to date to share knowledge. You will also have the opportunity to be a mentor for more junior profiles at the algorithmic level and work on our current Data Science projects-- we already have over 40 algorithms in production.
The Responsibilities
Understanding the financial business challenges and converting them into a Data Science problem. Setting up Time Series POCs and measuring the business impact. Working on Pricing and Budget allocation models.  Industrializing and deploying MVPs in production while ensuring quality throughout the process. Supporting junior profiles, be able to popularize complex algorithms and take on a mentoring role on the Data team. Jellysmack’s technical Stack: Language : Python, C++, Julia (to be “re”-tested) Databases : Aurora, Redshift, ElasticSearch on AWS Librairies : Pandas, PyTorch, Tensorflow, Scikit-learn, SQLAlchemy,... Visualisation : PowerBI, Plotly, Seaborn, bokeh DevOps: Gitlab, Airflow, MLFlow, Docker Environment : We use Pycharm, VSCode, VIM and Jupyter but we’re open to anything on any OS!


Data Scientist Customer Analytics

We are an international AgTech startup pioneering an ambitious mission in a high-growth industry where agriculture meets technology to solve our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced partner ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer.
As a Data Scientist on our Customer Analytics team you will leverage your knowledge ofadvanced analytics of customer data, as well as your experience writing scalable code to enhance our understanding of Indigo clientele. Collaborating closely with business stakeholders, and other Data Scientists and Engineers, you will help the team apply cutting edge statistical methods to complex problems and large datasets, ultimately owning your own production models. This is a unique opportunity to play an integral role on a close-knit team that is dedicated to solving complex and meaningful problems.

Responsibilities:

Build a deep understanding of existing systems and data assets; contribute to
components of in-flight analyses and models
Partner with business stakeholders to understand their pain-points, identify and
resolve ambiguities, and address those pain-points using data-driven solutions, as
appropriate
Take ownership of discrete analyses, delivering on challenging deadlines
Independently plan and execute modifications and improvements to existing
customer analytics predictive models, leading to measurable improvements in
results
Collaborate with Engineering on scaling/productionizing your work
Serve as an ambassador for the customer-centric data products and insights
being produced by the Customer Analytics group

Competencies:

Comfortable working with messy datasets and in an environment with complex
and evolving data systems
Strong coding skills, able to contribute to team codebase; write well-documented,
clean, maintainable code in a collaborative environment
Strong communication skills: ability to translate results of complex analyses into
interpretable results, both visually and verbally
Strong people skills: ability to understand other’s perspectives and collaborate
with empathy
Ability to translate theoretical principles learned in an academic setting into a
professional setting
Proactive and confident in voicing business ideas
Thrives in a fast-paced, growth environment
Hunger to learn

Qualifications:

2+ years relevant experience working in industry
Masters or PhD degree with a quantitative focus preferred
Fluent in Python (R also a plus)
Experience with git or a similar version control software
Fluent in PostgreSQL
Practical experience building predictive models
Familiarity with CRM systems preferred
Experience working in AWS  environment preferred
Experience working in an Agile software and/or product development
environment preferred
Familiarity with geospatial data preferred

Benefits:

Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
Commuter benefits
401(k) plan

Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.


Data Scientist Ii

What we do
 Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive 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 with integrated open source tools. 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.
Responsibilities

Helping to design, build, document, evaluate, and maintain statistical models and related data pipelines
Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer  to develop data science products
Following best practices with respect to engineering standards, including data privacy and security

Minimum Qualifications

A Master’s/Ph.D. in a quantitative field, or equivalent work experience in data science, statistics, or machine learning

Work experience related to data science, statistics, or machine learning. This could include research work in a PhD program.
Familiarity and willingness to work with the Python and R programming languages
US work authorization

Preferred Qualifications

Extensive experience with any of the following:

Machine learning engineering (e.g., developing and maintaining models in production)
Survey analysis methods (e.g., survey weighting) or causal inference methods
Political data or government data (e.g., Census Bureau data)

Extensive experience developing software in Python and R

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone 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 help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech organization 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 have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups 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 their domestic responsibilities.

Civis 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 Civis 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 us 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
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Applied Data Science Lead Media Insights

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive 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.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
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. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment

Preferred Qualifications

Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone 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 help our company—and each other—grow.
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 have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups 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 their domestic responsibilities.

Civis 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 Civis 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 us 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 Contract

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive 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 with integrated open source tools. 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
Civis collects millions of survey responses every year for message testing, brand tracking, political forecasting, and much more. As a Data Scientist on the Surveys Team,  you will be responsible for the data science needed to turn survey data into insights. You will be responsible for developing production tools to clean, weight, and analyze survey data. You will also develop and maintain novel reference data sets for survey weighting. You will be working as part of a cross-functional team of data scientists and engineers to implement data science methods as production tools that will be used by teams across Civis.
You will support our Applied Data Science team to ensure that our survey methods are effective across political, public sector, advocacy, and commercial domains.
A successful candidate will be able to work independently and in close collaboration with other data scientists and engineers. The role requires a person who can think critically about the technical and methodological implications of their work, and is enthusiastic about building tools to enable data scientists and research managers.
Note: This opportunity is a temporary, full-time, salaried position with benefits lasting one year.
Responsibilities

Develop and maintain survey infrastructure in a cross-functional team of data scientists and engineers
Productionize novel and off the shelf data science models using Civis Platform
Provide support to internal users and act as a subject matter expert in statistical methods relevant to survey analysis
Validate our weighting and analysis methods using known sources of truth and simulation studies
Research and prototype novel approaches for survey weighting, forecasting, and causal inference
Identify possible new data sources for survey weighting, and automate refreshes of existing data
Contribute to knowledge sharing and training across the company

Minimum Qualifications

Knowledge of Python or R and willingness to work with both languages

Preferred Qualifications

Master’s or Ph.D. in a quantitative field
Prior work experience or internships related to data science, statistics, or machine learning
Experience writing software tools for use by others
Experience communicating about technical topics to a non-technical audience
Academic or industry research experience experience in at least one of the following: working with survey data (e.g., survey weighting), causal inference, machine learning engineering (e.g., developing and maintaining models in production) or data engineering

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone 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 help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech organization 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 have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups 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 their domestic responsibilities.

Civis 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 Civis 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 us 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


Vp Data Science

About the Role:
We are seeking a VP, Data Science to lead a team of Data Scientists and Strategic Analysts. This role has responsibilities across the business -  from building core product capabilities using cutting edge machine learning techniques, to working closely with our customers to help them optimize their business to partnering closely with our executive team on making key strategic decisions.
What You’ll Do:

Lead and manage a team of 25+ people both in the US and internationally
Solve complex industrial problems using advanced ML, DL, AI, and mathematical modeling and optimization techniques with involvement in the whole cycle of data science tasks. Work with engineering to build scalable solutions that are deeply integrated into every aspect of our product suite.
Work closely with the executive leadership team to inform company strategy and drive a data driven decision making culture across the organization.
Meet with and work with customers on understanding their most complex problems and identifying solutions using the rich data that our systems collect.
Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities

What We’re Looking For:

12+ years of combined industry and post-graduate academic experience in a quantitative field and a proven ability to apply scientific methods to solve real-world problems
5+ years of leadership experience managing a team of 15+ data scientists and product analysts across multiple locations at a technology company. Experience in leading an organization with managers, ICs, and technical leads.
5+ years working in SaaS
5+ years of experience in M/L

Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.
Please review our Candidate Privacy Notice here.


Senior Data Scientist Product Analytics

You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
VSCO is looking for a Senior Data Scientist to take our data practice to the next level. You will work with our Director of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.
The day-to-day

Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team

Qualifications

Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
4+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines

Nice to have

Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts

About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.

Job Perks
Equity, health, vision, and dental insurance for families, and flexible vacation policy.

Why VSCO?

Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.

The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.

It Won’t Be Boring
Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.

Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.

VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.

#LI-Remote


Data Scientist Applied Machine Learning

We believe each moment in sports can change the plan, change the game and change lives. That’s why our mission is to build the world’s most powerful network of sports video and data to empower teams to make every moment count.
How? By hiring people around the world who want to help us support coaches, players, analysts, recruiters, teams, clubs and fans. Hudl customers use our products to capture video, analyze data, share highlights and a lot more. They stay ahead of the game with the latest technology and we help them achieve their goals.
Want to join us?

We’re looking for a Data Scientist to join our team and work to improve Hudl products by integrating them with machine learning. You will be part of a team currently focused on optimizing video tagging workflows by leveraging data generated from machine learning algorithms. You’ll build both interfaces, intermediary algorithms and evolve current algorithms that transform raw ML output into measurable workflow improvements for users. There will also be opportunities to get more involved with the existing low level computer vision algorithms and also develop new models from the ground up.
You are

A data scientist who likes to build products. You have 1+ years of experience in a data science role. You enjoy building algorithms that will be used to improve a user’s experience. Software engineering isn’t your primary skill, but if needed you’re comfortable enough with coding to make small changes in various parts of an application.

Interested in digging into data to solve problems. Systems and processes don’t always work as expected, we need to evaluate data to make sure everything is operating as intended and has the effects we desire.

Flexible and excited to learn totally new domains and technologies. Your team will do whatever it takes to get an algorithm into production, which often means having to make small updates to other systems or adjust requirements as we go. You see the opportunity in this and are ready to learn something new.

Willing to maintain and support a production system. Hudl’s Applied Machine Learning (AML) Team is looking to ship real updates that have an impact directly on the company’s bottom line. By doing so, we’re responsible for what’s released and need to take care of it.

Someone who enjoys iterating from prototypes to production systems. It’s not always clear what the best implementation will be and we’ll have a lot of ideas that need to be evaluated. You know how to balance quick iteration with production quality updates, when requirements need to be adjusted, and when to push for more or less time on an experiment.

You Will

Build algorithms and services that generate data and have an impact on the final product. You’ll do so using a variety of technologies including Python and Docker.

Optimize Hudl’s processes with a data-driven approach. For example, optimizing tagging workflows via new interfaces, steps, or features.

Learn how to build algorithms that directly solve real-world problems

Collaborate with multiple product teams and users.

Have an impact directly on your users by integrating machine learning into their workflows to make their work more efficient and enjoyable.

We Will

Teach you. You’ll be ramped up on the various technologies and domains that AML uses, when applicable. This includes AWS infrastructure, machine learning, Python utilities, web applications and more!

Challenge you. We’re breaking new ground on how machine learning can be applied to products. The problems are not solved and patterns are not set. You’ll have the opportunity to establish these standards, processes, and approaches for yourself with the help of your team.

Support you. We’re committed to building solutions for each other in addition to our stakeholders. Our team members make time to help, advise, and remove roadblocks, with regular collaboration across groups.

Include you. We’ll invite you to all our AML game days and let you in on all our fantastic inside jokes.

Diversity at Hudl
Hudl is an equal opportunity employer. We understand the power of a diverse team, celebrate differences and promote inclusion.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
https://www.hudl.com/jobs/hudl-applicant-and-candidate-privacy-policy