Data Scientist

Per the New York state statute, the estimated range of compensation for this job at the time of this posting, is $126,250-$194,400. This position may be eligible for incentive pay, for openings where this is applicable.
At HP, we believe in the power of ideas. Our vision is to create technology that makes life better for everyone, everywhere — every person, every organization, and every community around the globe. This motivates us — inspires us — to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze.
The Data Scientist applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. They will frequently contributes to the development of new ideas and methods. They will work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors, and lead and/or provide expertise to functional project teams and may participate in cross-functional initiatives.
Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees.
Responsibilities
Mines data using modern tools and programming languages. Defines and implements models to uncover patterns and predictions creating business value and innovation. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Ties insights into effective visualizations communicating business value and innovation potential. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives. Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance. Collaborates and communicates with project team regarding project progress and issue resolution. Communicates and drives data insights/innovation into the business. Represents the data science team for all phases of larger and more-complex development projects. Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges. Solid understanding of generative pre-trained transformers, large language models, etc. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Ability to define and create complex models to pull valuable insights, predictions and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Strong analytical and problem-solving skills. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate data insights and negotiate options at senior management levels.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team. Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams. Leads multiple projects requiring data engineering solutions development. Drives design innovation.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computational Linguistics, Computer Vision, Natural Language Understanding and Generation OR Neuro Physics.  Typically, 6-10 years’ experience including graduate or postgraduate research.
HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225


Data Science Lead

Data, Research & InsightsData Science
We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans and ultimately live off their work.
Location
New York or Remote Americas
Job type
Permanent
Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners and deepen their connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.
We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy by working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incrementally testing while at the same time setting up the data infrastructure to support our long-term marketing vision.
In this role, you’ll report to the Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers and ideally a passion for music.
What you'll do:
Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thriveDeliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan StudyUse data insights to advise Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership teamDevelop metrics & marketing attribution models to improve our understanding of the impact and enable us to iterate Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customersBuild out and maintain dashboards to support data-driven decision-making across the wider Creator Marketing organization.
Who you are:
8+ years of experience working with data to drive marketing initiativesExperience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference, or marketing mix modeling.Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etcYou are capable of solving loosely defined problems and translating complex thinking into practical applications for diverse audiences.You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real-world product or feature decisions
Where you'll be:
We are a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be within the Americas region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $134,236-$191,765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Senior Data Scientist Machine Learning Nlp

What you'll be doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
Build predictive models on massive data sets to support high impact company projects
Brainstorm, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure
What you should have
4+ years of industry experience in developing and productionizing applied machine learning for solving business problems
Expertise and experiences in both supervised and unsupervised learning
Expertise and experiences in neural networks or reinforcement learning
Expertise and experiences in modern NLP, large language models or generative AI
Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics
Proficiency with Python
Knowledge of SQL
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
Curious, passion for learning, self-motivated, and excited about solving open-ended challenges.
The ability to explain complex findings and technical approaches to a variety of audiences
Desire to work with amazing, passionate all kinds of partners who care about solving challenging problems to improve Discord for its users
Last but not least - a collaborative attitude and natural curiosity!
Bonus Points
Expertise and experiences in explainable and trustworthy ML/AI
The US base salary range for this full-time position is $204,000 to $235,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Associate Director Product Analytics And Data Science

What you’ll be doing:

Conceptualize, design and execute an ambitious data science roadmap for our member experience team in partnership with product, engineering and care team leads.
You will lead, mentor and manage a team of data scientists in building out product analytics across our member experience team, helping shape goals, metrics, experimentation and dashboards
Coach and mentor data scientists on the team to ensure their continued growth

Define the key success metrics that provide insight into the complete member journey and experience and uncover opportunities to improve these metrics

Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.
Perform analytical deep-dives to proactively identify opportunities to accelerate member growth and engagement and inform experimentations and product roadmaps.
Partner with cross functional leads in the development of data-centric product features like search and personalized recommendations
You will lead the team in building out the analytical infrastructure and insightful, automated dashboards necessary to track member and engagement metrics and KPIs

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity.
Proven track record of success in product analytics (acquisition, activation, engagement, and retention)
You have experience working with product development/design process in the context of a software product
Proficiency with SQL, and tools like MixPanel/Amplitude and Looker.
Familiarity with a statistical analysis language (Python or R)
Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with data
Ability to work in a fast-paced, mission-driven environment
Passion for successfully navigating ambiguous problem areas and learning new approaches
General willingness to occasionally travel (at least 1x/year) to NYC for collaborative sessions/offsites with the team

What we'd love to see (Bonus):

Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA
Some level of comfort with data modeling and pipelining via dbt or similar tools
Experience collaborating with user research teams
Previous experience working in a fast-paced environment

The target salary range for this position is $190,000 - $232,500, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!
Ready to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values
Hypergrowth meets impact
What to expect working here:

You will be held accountable to an exceptionally high bar and impact
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
You will be challenged to set and protect your own boundaries
You will create processes & products that have never existed before
You will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows

And…

You get to be surrounded by some of the brightest minds in the field
You get to learn and grow at an extremely accelerated pace
You will experience transparency, integrity, &  humility from leadership
You will be empowered to constantly challenge the status quo
You get the space to experiment & innovate
You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly
You will become more resourceful and resilient
You get to be part of a winning team that opens doors in the future

Benefits provided by Spring Health:
Your Total Health:

Generous medical, dental, vision coverage available day 1 + access to One Medical
20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Flexible paid time off in addition to 12 paid holidays throughout the year
$500 per year Wellness Reimbursement

Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.

Spring Health provides access to QuitGenius, a platform with technology-tailored, personalized addiction treatment plans for substance use (*QG is available to benefit-enrolled employees, spouses, and dependents age 18+)

Sabbatical Leave: When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave.

You And Your family:

4-4.5 months of fully paid parental leave
Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.

Access to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience.

Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses

Supporting you financially through:

Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.

On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
Employer sponsored 401(k) match of up to 2% after 90 days of employment

Creating a culture you can thrive in:

Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Focus Fridays: no meetings, no distractions, just time for you to get work done.
Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members.
Up to $1,000 Professional Development Reimbursement per calendar year.
$200 per year donation matching to support your favorite causes


Senior Data Scientist Reinforcement Learning

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with Reinforcement Learning, Deep Learning, knowledge in AI,      and DL modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to write      complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. Experience with supply chain/retail      forecasting is a must.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Healthcare Analytics And Research Consultant

How will this role have an impact?
We are looking for a highly motivated and talented Senior Analytics Consultant to join our fast-growing organization. The Senior Analytics Consultant will be a key person on the Signify Intelligence team that evaluates the impact of our population health initiatives and helps the organization make data-driven decisions to drive better patients’ outcomes. The successful candidate will have extensive knowledge of and experience in working with large healthcare dataset and conducting statistical analysis, and possess strong programming skills.
This position can be remote, but preferences will be given to candidates located in Dallas, TX, Fort Myers, FL, and New York
What will you do?

Analyze various sources of patient care and claims data, including 100% Medicare data or VRDC, to provide actionable insights to stakeholders
Conduct descriptive and predictive analyses to identify opportunities to target population health interventions, improve care delivery, contribute to product and services development, and inform Signify Health’s growth strategy
Designing field experiments, including randomization and quasi-experimental approaches. Monitoring study implementation and data collection. Designing and executing rapid cycle data analyses.
Assist with model development for identifying and implementing clinically viable tools and initiatives for provider behavior change
Proactively identify and communicate issues affecting a project plan
Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries and quantitative analyses
Present analysis results to internal and external audiences, including company executives, subject matter experts, delivery teams, and clinical teams within Signify Health

We are looking for someone with:
Required Education and Experience:

Bachelor’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field.
3-6 years of relevant industry experience.
Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, econometrics, health informatics, healthcare analytics or related field.
Strong SQL, SAS, Python, or R skills, ability to perform effective querying involving multiple tables and subqueries.
Demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations and reports.
Expertise in descriptive and predictive analysis methods. Experience with regression and classification techniques.
Experience with causal analysis including designing and conducting experimental and quasi-experimental studies (e.g., randomized trials; regression discontinuity, difference-in-differences, instrumental variables, and matched designs).
Deep experience with healthcare data sources such as claims, electronic health record, event notification, clinical, and patient reported data. Experience with commercial payors’ data and programs highly preferred.
Advanced data manipulation and data mining skills, including experienced level in SQL programming, and R or Python.
Knowledge of standard methods for measuring health care utilization, spending, quality, and outcomes; risk adjustment; provider profiling; and related analytical tasks.
Examine, interpret and report results of analytical initiatives to stakeholders.
Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner
Ability to work independently and in team environment
Proven ability to work in a fast-paced environment where client satisfaction is key

Preferred Education and Experience:

Master’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field.
Experience with VRDC (CMS 100% Research Identifiable Files RIF) and/or LDS (5% Sample Data)
Preferred experience in one or more of the following areas:

Medicare Advantage, ACO, MSSP
Healthcare Economics
Pricing
Reserving
Forecasting
Data Analytics
Prior experience in value-based care settings.
Actuarial background is preferred but not required
Proficient in Excel, Word and PowerPoint software

About us:
Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.
Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs. We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com.


Quantitative Risk Analyst Ii

At Earnest, we believe in a world where paying for your education takes less time than earning your degree.  Join us on our mission to empower anyone seeking higher education to reduce the total price tag of their degree, supercharge their ability to pay down student debt, and get on the right financial track fast.
A little background on Earnest: We're a remote first FinTech company with an accomplished team who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to:

Build products that simplify the lending process
Personalize loans to suit the needs of our customers
Engage with our customers through more human experiences

What makes an “Earnie” culture:
Earnies define our culture as:

Earn Happy Customers

Our success comes from anticipating their needs and providing the solutions they’re looking for.

Better is Better

The path to great means getting better every day. We push ourselves, and each other, to remain curious and think differently.

 PhD in Moving Fast

Our customers are tired of long wait times and large student loan bills so we constantly seek out ways to deliver faster.

 Passion for Challenges

Perseverance and optimism are just the start to take on the inertia of a national trillion-dollar problem.

 Impact is a Team Sport

We maximize our impact when we act as one team.

Our Earnie's are fun, innovative, and willing to roll up their sleeves to help their team succeed in a fast-paced environment. If this sounds like you, and you want to join us on our mission to radically disrupt a trillion dollar fintech industry, keep reading to find out how.
As the Quantitative Risk Analyst II, you will report to the and:

Want to play a key role in shaping our future at Earnest? We're looking for a Quantitative Risk Analyst II, who is excited to jump into the nuts and bolts of our loan portfolios. You'll be involved in everything from production, maintenance, to development of models and processes to monitor risk.
You'll be part of our essential Portfolio Risk team. Our main mission? To dive deep into the performance of our current and future loan portfolios, uncovering risks and generating insights. We're about crafting smart strategies that minimize risk and boost returns.
Your role will be hands-on, analyzing our loan portfolio and getting materials ready for big meetings - whether that's with executives, the Board of Directors, Rating Agencies, or financing due diligence.
If you're passionate about mitigating risk, and want to be part of a team that makes a big impact, we can't wait to hear from you. Let's explore the possibilities together!

Experiences you will bring with you:

Join our  team and bring your data experience into play! We're searching for someone with a solid 3+ years in a data-focused role, preferably within credit risk, finance, or forecasting.
We value attention to detail and accuracy, especially when handling vast amounts of data.
Are you adept at using SQL for data analysis? Do you have experience with statistical analysis in R or Python? Great, you're the person we're looking for!
Your understanding of loss forecasting methods and, ideally, familiarity with consumer loan products will be of immense value.
Experience with Looker or a similar BI platform would be a bonus.
We believe your unique skills can help shape our future.
If you're excited about making a difference with data, we can't wait to hear from you. Let's explore the power of data together!

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits that include:

Health, Dental, & Vision benefits plus savings plans
Work anywhere in the U.S.
Mac computers + work from home stipend to set up your home office
Monthly internet and phone reimbursement
Employee Stock Purchase Plan
RSUs
401(k) plan to help you save for retirement plus a company match
Robust tuition reimbursement program
$1,000 travel perk on each Earnie-versary to anywhere in the world
Competitive days of annual PTO
Annual “my day”
Pet insurance!
Competitive parental leave
Plenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual events

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

#LI-GA1


Product Data Scientist Ranking Homes

About the job

Hopper Homes is building the best place to book vacation rental homes at the best price. We are hiring a Product Manager to focus on improving search rank. Our goal is to enhance the visibility and discoverability of the best vacation rental homes in search results among our massive pool of listings, ensuring that our customers easily and quickly find the best options for their needs.

In this role, you will leverage your expertise in ML, data analysis, and search optimization to drive significant improvements in our ranking algorithm. Working closely with the engineering team, you will be responsible for conducting thorough analyses to develop strategies that will enhance search performance. You will also collaborate with our supply team to set and drive acquisition targets based on ranking.

The ideal candidate is passionate about leveraging data-driven insights to drive business impact, skilled in analyzing large datasets and search behavior patterns, capable of collaborating with & leading cross-functional teams, and executes with a strong bias towards action.

This position offers a unique opportunity to drive a substantial impact on defining and evolving our ranking system, as well as drive revenue for the entire business as a whole.

Note: Title and level is flexible based on the candidate’s relevant background, experience, and interview performance.

Responsibilities

Develop and implement metrics and frameworks to measure and optimize our search ranking performance for vacation rental homes
Analyze user search behavior, industry data, and competitive benchmarks to gain insights and identify opportunities
Collaborate with the engineering team to implement algorithm improvements across the end-to-end ranking stack
Conduct experiments and analyze the impact of ranking and product changes to continuously refine and drive business impact
Work closely with cross-functional stakeholders, including other engineers, designers, etc., to align efforts
Drive the long term vision and roadmap

Minimum Qualifications

2 to 4+ years of relevant work experience
Strong analytical and creative problem-solving skills
Strong background in relational databases, SQL, and machine learning systems
Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required, both verbally and written
Lead and align a full cross functional team towards a common vision and extended roadmap
Proven ability to communicate complex technical work to a non-technical audience
Enthusiasm and curiosity for conducting research and answering hard questions with data
The ability to work with minimal guidance, be proactive, handle ambiguity, and the challenge of quickly evolving goals

Preferred Qualifications

Experience with ranking or recommendation systems
Experience using Amplitude, BigQuery
Experience with building and deploying machine learning models

Benefits

Well-funded and proven startup with large ambitions, competitive salary and stock options
Unlimited PTO
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams = massive impact
100% employer paid medical, dental, vision, disability and life insurance plans
Access to a 401k (US) or Retirement Savings Plan (Canada)

More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue.

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month.

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.

Come take off with us!


Director Of Applied Data Science 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.
Job Description
Civis Analytics is seeking a Director of Applied Data Science (ADS) to lead the Media & Insights (M&I) ADS Team, responsible for setting and executing the vision for the M&I ADS team to drive departmental growth, build knowledge of data science applications within Media, improve employee satisfaction, and broaden Civis’ success with our clients that leverage Civis’ media offerings.
The Applied Data Science Team is the advisory arm of Civis Analytics, working closely with some of the largest publishers, advertisers, and agencies, as well as governments, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
Responsibilities
Vision and Direction.

Develop and execute a vision for the M&I ADS team in partnership with the Chief Operating Officer
Collaborate closely with cross functional leaders to address evolving business needs and create solutions for internal Civis teams as well as our clients

 Do good work.

Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission.
Partner closely with Engineering and Product leaders to oversee the development and delivery of  industry leading media measurement tools

Support the team.

Manage a team of data scientists and analysts
Be a mentor and coach to the members of the M&I ADS team, building a culture where team members feel valued, supported and challenged with clear paths for growth.

Grow the business.

Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and leveraging expertise and credibility applying data science to media use cases
Support Business Development by leading conversations to understand prospect clients’ needs, translating those needs into Civis’ solutions, and illustrating those solutions with clear support such as case studies and client success stories.

Grow our brand.

Serve as a brand ambassador within the Media space through Civis presence at relevant conferences, panels and other networking events or authoring thought leadership pieces
Travel requirements <15%

Minimum Qualifications

Bachelor’s degree
A strong foundation in statistics and data analytics to solve real-world business challenges
Experience writing proposals and presenting in front of senior business leaders
Experience managing teams to complete projects within scope and on time
Excellent interpersonal and communication skills; ability to engage with both business and technical collaborators
Demonstrated history of delivering high-quality analytic work to decision makers
Experience advising or working within a data science or analytics function within an advertising agency or publisher, or in support of marketing initiatives for a brand

Preferred Qualifications

Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Advanced degree in an analytical subject (statistics, math, economics, physics, business, etc.).

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.
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?

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.

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.
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


Junior Data Scientist

As a member of the Data Science team, you will focus on working on cutting edge customer projects in diverse area from product recommendations, fraud detection, supply chain optimization and demand forecasting.

Full of energy, fresh ideas, and ambition, you are the sort of person who loves learning new things, is open to being challenged and has the confidence to challenge us too. We are looking for fresh graduates (with < 1 yr of post-graduation experience) with the enthusiasm, creativity and business acumen to drive real innovation, and become our future leaders.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our customers analyze trends to make better decisions.

Responsibilities

To develop analytical models for insight generation that improves business decision making.
Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
Will contribute to data science team discussions, providing insight on current approaches and methods,
Follows established MLOps practices in software development.
Data science model selection and implementation.
Working independently while collaborating well within the team.
Have worked autonomously and delivered results on schedule.

Requirements

Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
Proficient with machine learning and statistics
Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
Software development experience
Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
Excellent communication skills
Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
Participated in numerous data science projects.
Utilized several data science methodologies.
Attention to detail
Multi-tasking
Strong analytical skills

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.


Senior Data Scientist

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. We connect consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to sexual health, hair care, mental health, skincare, primary care, and more.
With products and services available across all 50 states and Washington, D.C., Hims & Hers is on a mission to help the world feel great through the power of better health.  We believe how you feel in your body and mind transforms how you show up in life. That’s why we’re building a future where nothing stands in the way of harnessing this power. We normalize health & wellness challenges—and innovate on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so we provide access to personalized care designed for results. At our core, our mission is deeply personal—because we too are customers.
In January 2021, the company was listed on the NYSE and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
About the Role:
As a Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, build models and create innovative ML solutions in telehealth that drive improvements for our business.
We are looking for someone with strong experience building and deploying data science and machine learning solutions in marketing, business analytics, and operations. You’ll be someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!
You Will:

Identify opportunities to apply data science and machine learning solutions across marketing, business analytics, and operations
Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques
Drive projects in areas like customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
Contribute to marketing mix modeling and marketing attribution models
Supervise and shape marketing and growth experimentation practices
Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
Contribute to the development of maturation of data science ecosystems, playbooks and best practices

You Have:

3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields
Expert-level knowledge in statistical experimentation or A/B testing principles
Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python or R
Expert use of SQL to support analysis and data science methods
Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus
Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration)
Experience with cloud-based platforms, such as Google Cloud Platform or AWS
Results-oriented with strong project management and communications skills

Our Benefits (there are more but here are some highlights):

Employee Stock Purchase Program
An inclusive culture where we are always looking for improvement and cherish your input
Great compensation package, including equity
Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
Generous Parental Leave
High-coverage medical, dental & vision
Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
Employee discounts on hims & hers & Apostrophe online products, and at the Apple Store
$75 monthly connectivity stipend (phone/internet)
401k Match

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

#LI-Remote


Data Scientist Ii

Posting Details

                        Posted:
                        June 21, 2023

                Full-Time

Locations

                        Showing 1 location

                        Remote - USA

+2 more

Job Details
Description
To apply for the Data Scientist II role please click on the iCIMS link below. The link will guide you to ConstructConnect's new Careers page portal.
Data Scientist II in Remote -US | Careers at Remote - US (icims.com)
Please do not apply via UKG, use the link above to submit your application.
Privacy Notice
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)


Senior Data Science Manager

Join the team reinventing healthcare!

Included Health is on a mission to raise the standard of healthcare for everyone. Data Scientists at Included Health work on a problem core to the future of healthcare: how can we use data, technology, and advances in AI to disrupt the cumbersome and confusing healthcare system in the United States today? The time is NOW to leverage the latest technology to reinvent a very broken system! We strive to use personalization and automation to get our members to better clinical outcomes at lower healthcare costs, while streamlining the experience of accessing care. We are looking for an experienced manager to lead our Data Science Applications team…someone who can help establish and deliver a vision around how to use Data Science to accelerate the delivery of value to our members and clients.

The Role

Included Health has several Product verticals that deliver our Navigation and Virtual Care offerings. We take pride in a close Engineering-Product-Data-Design partnership through each of these verticals to help our products come to life. You will be the Data representative in these leadership quads. Your reports will embed in these Product verticals to deeply understand/influence the needs and visions of each group, and then work together to deliver value through the verticals. You will also partner closely with our Data Science Platform team. The Data Science Platform team looks for the common denominator across the Product verticals, and creates the scale required to support the Applications team.

This is a relationship driven role. We are looking for someone who has experience in and enjoys cross-functional partnerships, and has a track record of influencing partners to use data-capabilities to deliver value faster. We are a company with ambitious goals, and are looking for someone who will accelerate our delivery of clinical outcomes, healthcare cost savings, member experience, and gross margin. This manager will start with 5-6 direct reports and grow the team as the company grows. Included Health has a strong culture of personal development and we are looking for leaders with a track record of coaching and mentoring their teams.

Responsibilities

A desire to work with a diverse, driven team to help improve clinical outcomes for hundreds of thousands of members
Ambitious, humble, people smart, and problem smart
At least 3 years of experience managing a Data Science team
Strong technical background in Data Science, Computer Science, Mathematics, Statistics or related field
Experience, aptitude, and interest in cross-functional partnerships and cross-functional influence
Strong business intuition, and a track record of partnering with Data Science, Product, Engineering, Design, and Analytics teams to establish vision, strategy, and roadmaps that accelerate business value
A track record of delivering impactful data-driven products from conception to production
A track record of growing teams (including hiring, retaining, growing individuals, and scaling team impact)
Experience or interest in healthcare
Experience delivering personalization- or automation-related products

Project Examples

Example 1: Think about the last time you had a basic insurance coverage question. How long did you wait on hold? Was the question answered? Did the answer make sense/resolve your need? Accessing and paying for care often seems unnecessarily difficult. We are trying to create automated/self-serve experiences to quickly, easily, and accurately get basic “healthcare logistics” questions answered. Using Natural Language Processing to understand a member’s question and Large Language Models to generate responses to questions, we aim to make what should be painless in healthcare, painless.

Example 2: Not all members want or need the same healthcare experience. A relatively healthy member wants a quick and easy experience. Members with rising risks may want more education about their options. High risk members may need help with complex care management. We use various methods to segment members in order to understand their risk profile and journeys. Then we partner with our various Product teams to determine where we can apply personalization through our products to cater the experience to each member. For example, we are working on smart recommendations on our homepage, to highlight the services/benefits that we think will be most relevant to our members when they login.

Example 3: When a member is looking for a new provider, it is really difficult to know which providers are going to be best suited for their needs. Included Health is marketing-leading in our Provider Match capabilities. This is a set of hundreds of models that aims to predict the most safe, effective, accessible, relevant, and cost-efficient providers for a given member. As we move forward, we want to expand on our capabilities, and enable match to a broader set of in-person and virtual services and benefits. We also want to translate the complex logic that resides in our models to transparent member-facing tidbits to enable informed decision making.

So, what are you waiting for? Come apply your data and leadership chops to a problem that is central to all of our lives! Come make a difference with Included Health!

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Lead Data Scientist Product Growth

The Role
We’re looking to add a Lead Data Scientist to our growing Product Data Science & Analytics team to help us measure the impact of our Product Growth initiatives and identify opportunities to expand the network of people who use async video at work. In this role you will help the Growth PM team drive initiatives that range from big bets that inflect Loom’s growth trajectory to quick wins that continuously remove friction for our users.
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
Responsibilities

Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and measure impact of initiatives
Provide data insights through A/B testing, dashboards, user behavior analyses and ad-hoc requests
Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction
Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
Lead A/B experiments from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout
Build analytics plans for new products and features, helping the Product Growth team understand which metrics need to be measured and which events need to be tracked
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user acquisition and activation behavior
Lead and mentor team members with processes and analytical and technical expertise for executing experiments, building pipelines and answering open ended business questions

What We're Looking For

7+ years of experience in an analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with the SaaS customer lifecycle from acquisition to retention
Experience with designing and analyzing experiments
Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
Experience with a Business Intelligence tool (e.g. Tableau or Mode)
Experience with a statistical scripting language (e.g. R or Python) is a plus
Experience with ETL tools such as Airflow or DBT is a plus
Experience in data modeling and ETL development is a plus
Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights
A Bachelor’s Degree in a quantitative field or higher


Product Data Scientist

Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth, engagement, and retention-related problems across our streaming service. You’ll be working closely with other data scientists and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department.
Some of the recent projects our Data Science team members have worked on include:

Modeling to determine which early product behaviors predict conversion
Creation of minimum detectable effect calculators for experiment sizing
Deploying new content recommendation engines
Identification of trending regional content
Price sensitivity research and competitive market analyses

Qualifications
Philo is seeking a Product Data Scientist with demonstrated understanding of statistical modeling, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle.
Responsibilities:

Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features
Own analytics, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features.
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings

Key Qualifications:

6-10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience

More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Projected Start Date: ASAPStatus: Full-timeLocation: San Francisco, NY, Boston, or remoteCompensation: Includes annual salary between $130K-$210K depending on experience and location, company stock options, and health benefits.
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5000 annually for professional development and educational assistance
$500 “TV stipend” for new employees to upgrade their home watching setup
$1000 annual home office stipend for employees to upgrade their home work setup
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!

For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors


Data Science Team Lead

Who We Are:
We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!
Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agri-food industry.
Our customers are frontrunners in agri-food and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals.
We're backed by leading investors, such as Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.
Our Mission:
Agriculture has the power to reverse climate change. We believe science and technology can help us get there.
Our goal is to use farmland to cool the earth. We are currently monitoring 200 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.

Growth You’ll Foster
As the Data Science Team Lead at Regrow, support and guide a team of 10+ remote sensing scientists and machine learning engineers as they create the data products behind our sustainable supply chain and MRV product offerings. Regrow uses a range of tools to identify regenerative agricultural practices globally, you will be working with the team as they develop production ready models for a range of agronomic activities and use cases. The data products connect directly to our end users, allowing growers and the companies that depend on them to build more sustainable supply chains.

What you will do:

Drive and be accountable for the conception, architecture, engineering and delivery of the machine learning frameworks and infrastructure used by the Data Science team
Oversee, mentor, and inspire a diverse team of scientists and engineers with a high degree of empathy and emotional intelligence.
Grow the team to support the needs of the broader business over time.
Manage the Data Science team as they design and deploy the models behind our derived data products.
Assist with and coordinate the planning, design, and execution of all project deliverables across multiple simultaneous workstreams in support of programs reliant on remote sensing and data science.

Qualifications:

Advanced degree or equivalent experience in Earth Science, Remote Sensing, Computer Science, Statistics, or a related field.
2+ years of experience in a technical or scientific leadership role managing, mentoring, and providing technical project management guidance to other tech team members.
Exceptional skill and knowledge of Python (or other scientific programming languages).
Excellent English language communication and interpersonal skills, with a proven ability to build strong, productive relationships and teams.

Desirable Skills: (bonus if you have them)

Experience managing a data driven, customer facing product or service
Familiarity with Google Earth Engine or other cloud-based satellite imagery analysis environment

Envision Yourself Here
Does this sound like your dream job? If so, go ahead and apply for the position and we’ll be in touch. We appreciate your interest in Regrow.
While it may go without saying once you see the diversity on our current team, we encourage diversity on our team at all levels of the company. We are committed to fostering a diverse, inclusive environment and to encourage these values in everyone on our team. We provide an environment of mutual respect where opportunities are available without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion for people from all walks of life is key to our success as a company.


Data Scientist

Reporting to the Director of Analytics, the Data Scientist is responsible for designing and developing data enabled solutions that have strategic impact on the business and are built on the latest technologies. This individual will need to balance a strong command of technical skills along with outstanding soft skills so as to communicate with both senior executives and technical team members.
This position can be located in any geography in the US or Canada.
Responsibilities:

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights for decision makers
Partner with Data Engineering teams to solve problems, identify opportunities, and build data infrastructure
Analyze data independently to deliver insights about operational performance and proactively drive improvements
Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings
Effectively plan and collaborate with functional teams (Product, Service, Revenue) on data driven initiatives to solve complex operational problems
Collaborate with operations and data-focused teams within and functional areas of the business to solve problems, develop solutions and share insights
Apply data expertise to successfully support cross-functional operational needs
Build Reporting tools for different functional areas of the organization for self-serve options
Query, transform, analyze and communicate findings effectively to answer ad-hoc analytical needs
Drive data strategy in a continuous improvement framework by working with Data professionals

Qualifications:

BA/BS/MS in a quantitative field; Full Time diplomas in Data Science is an applicable option
3+ years of experience in data, reporting, analytical problem solving
Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ
Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)
2+ years hands on experience in SQL, Python, R, and other programming languages
1+ years of experience in project managing data-centric projects
SaaS experience preferred
Strong communication skills with experience explaining technical concepts to technical and business partners

Nice to Have:

Hands on experience building Interactive Visualizations such as Tableau, Mode, Google BQ.
Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)
Ability to make impactful presentations
Demonstrated experience collaborating with multiple stakeholders across functions and time zones
Working experience within operational ecosystems

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
Remote first environment.
Annual company-wide meetup.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
Stipend to help support the growth of your home office.
Unlimited access to tutoring for children of Paper employees.

#LI-AB01 #LI-remote


Associate Research Scientist

About HarvestHarvest is an industry-leading, independent software company that makes tools to help businesses run more smoothly. We believe that businesses only succeed by using their time intentionally. Our products support our customers through time tracking, reporting, and forecasting features. Harvest started in 2006 as a team of three and has grown to today’s current team of over 70 with Harvesters working from around the globe. We’ve worked as a remote team since the beginning and we continue to hire the right people for the job no matter where they call home. We strive to create a workplace culture where everyone feels valued, included, and heard. One important aspect of this is continuing to create spaces for diverse life experiences and work histories. If you are a member of a group that is historically underrepresented and disadvantaged in tech, business, and society in general, we want to meet you and we encourage you to apply.About the RoleThis is an opportunity to join Harvest’s nascent data team (we’re about a year and a half old). In the short term, you will learn about Harvest’s data infrastructure from end to end. Medium-term, you will conduct research, run experiments, and help stakeholders realize their long-term vision. The team is small and there is flexibility in how you can grow as long as you bring kindness, honor time, and seek impact. Leveling for the role will be commensurate with experience. You should consider applying if: You have both a teacher and a student mindset. 16 years worth of data excites you. You're interested in growing a data practice from the ground up with a small team You value a distributed and diverse work culture. Working side-by-side with co-workers from around the world is something you cherish. You value simplicity over complexity and practicality over theory. You are skeptical, curious, and not afraid of failure. While we are quite flexible in terms of your experience level and will seek to match you to a level that works for Harvest, we require that you have at least 3 years of direct work experience that you can draw from for this role beyond formal schooling. Responsibilities Munge data, analyze and interpret results to provide both ad-hoc and scalable ongoing reporting Gather requirements from stakeholders, understand the intent of their requests along with potential business impact, and guide and execute upon those requests Guide your colleagues through the scientific method by designing and leading experiments Develop an understanding of how data moves through Harvest Build upon Harvest’s logic layer to ensure scalability and accuracy Grow in both depth and breadth in order to become a subject matter expert in given technologies and/or parts of the business  Working knowledge of SQL and at least one scripting language (R or Python preferred) Knowledge of experimental design with a focus on AB testing  Knowledge of statistics, hypothesis testing, and/or probability Knowledge of how a relational database works Strong written and oral communication A desire to learn and grow  Nice to HaveExperience with SAAS productsWhen You ApplyPlease include responses to the following: What excites you about joining a data team in its early stages? Why did you apply to Harvest specifically? Share with us a recent project involving hypothesis testing and/or probability analysis.


Data Scientist Growth Analytics Channels

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.
The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like how we communicate with our users, churn prediction and user segmentation.
As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:

Today, Growth touches a large swatch of features at Reddit. As a key member of the team, you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth.

What You’ll Learn:

You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the onboarding strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation that will impact the entire company.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers)
Conduct exploratory analyses to size new opportunities for onboarding or further engaging Reddits on the platform
Partner with Eng and Product to define and execute Core Growth’s roadmap and initiatives
Design and evaluate A/B tests and product feature experiments to influence product strategy
Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
Present findings to senior leadership and inform product decisions

Who You Might Be:

4+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Familiarity with causal inference techniques and causal models
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)


Data Scientist

Marley Spoon is the new way to cook. We bring delightful, market fresh and easy cooking back to the people while building a sustainable supply chain for a waste-free world. We’re a well-funded and publicly listed company (ASX: MMM). We operate across 3 continents and in 8 countries with over +900 employees worldwide. Being passionate foodies, we are using technology to reinvent the global food supply chain to reduce food waste. In the end, it's simple: We started Marley Spoon because we love cooking! We now have an exciting opportunity to bring a Data Scientist on board our team, working across all brands and territories. This is a once-in-a-lifetime opportunity to be part of the food revolution and join our food-tech start-up as we take our growth to the next level. As a part of the team, you'll be responsible for: Building a range of analytical models (Prescriptive, Predictive, Diagnostic, Descriptive) Building predictive and segmentation models (e.g. RFM segmentation, churn prediction, sentimental analysis, recommendation engines, next best offer, propensity scoring models, etc.) making use of relevant data from multiple data sources Deploying, maintaining and improving the models using various types of algorithms and techniques Mine data from multiple sources and to build/enhance stored procedures/functions Providing deep-dive analytical support for the business  MSc or Ph.D. in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related fields Experience in a Data Science related role Hands-on experience in building segmentation and prediction models with large datasets using various algorithms and techniques (decision trees, logistic regression, neural networks, clustering, etc.) Hands-on experience in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, and PySpark) Good software engineering practices e.g. unit tests, logging, CI/CD pipelines, software patterns and experience developing production software Sound knowledge of classic prediction processes (classification, regression, ranking, time series), and inferential statistics (tests, interpretation of models) Experienced dealing with large amounts of data and knowledge of big data technologies (e.g. SageMaker, AirFlow, Snowflake, Looker)  Autonomy, Impact, Collaboration, Learning & Growth Being part of a profitable company in full-blown scale-up phase - offering immense opportunities for personal & career growth Flexible working hours, a hybrid work environment and/ or full remote Spend 5% of your working time on personal learning and development Conference / Training budget Food allowance of 7.62 euros per worked day Health insurance to all employees Company training in different areas Company equipment Company Events Extra Annual leave days (total 24)


Sr Data Scientist Customer Insights Portal

Role: Sr. Data Scientist, Customer Insights Portal
Reports to: Chief Technology Officer
Department: Customer Insights Portal
Location: Remote, US
Job Type: Full Time, Exempt

Help us Shape the Future of Data
Anaconda is the world’s most popular data science platform. With more than 26 million users, the open-source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a talented Sr. Data Scientist, Customer Insights Portal to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You’ll Do:

Help develop the roadmap and strategy for a brand new product bringing real-time insights into the world of numerical computing to decision-makers and strategists across the industry
Build models to generate unique insights about how numerical computing professionals are doing their work
Identify new data sources which can be used to extend and improve those models
Work with data engineers, software developers, and the user experience team to design visualizations for users of the customer insights portal
Interface with other product development  teams, Anaconda data scientists, and data engineers to identify new sources of data in Anaconda products and ensure correct telemetry is added
Be accessible and responsive as the subject matter expert for your part of the business.

What You Need:

5+ years of experience as a data scientist building tools for production environments
Experience working as part of cross-functional teams
Experience with agile scrum
Ability to work in a fast-paced startup environment
Ability to define and measure success with data
Understanding of Python
Team attitude: “I am not done until WE are done”
Embody our core values:

Ability & Humility
Innovation & Action
Empathy & Connection

Care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

Experience working in a fast-paced startup environment
Experience building products with a Lean Startup approach
Experience working in an open-source or data science-oriented company
Technical undergraduate or work experience
Experience with NLP and sentiment analysis
Experience working with large datasets

Why You’ll Like Working Here:

Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
Dynamic company that rewards high performers
On the cutting edge of enterprise application of data science, machine learning, and AI
Collaborative team environment that values multiple perspectives and clear thinking
Employees-first culture
Flexible working hours
Medical, Dental, Vision, HSA, Life, and 401K
Health and Remote working reimbursement
Paid parental leave - both mothers and fathers
Pre-IPO stock options
Open vacation policy and monthly company days off known as Snake Days
100% remote and flexible working policy – we embrace this fully through how we operate as a company.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.