Vp Data Analytics

ABOUT BESTOW

Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.

We strive for work-life balance and believe happy employees make for better experiences and happier customers.  It’s a model that helped us land on Forbes’ Best Startup Employers 2021 and 2022 lists!

The Bestow Data & Analytics team is highly visible, working across the company to support analysis of business performance, data-driven decision making, and predictive insights.  We are responsible for data through its lifecycle from acquisition, processing into trusted and easy-to-use data sets, reporting, and driving the business to new opportunities through the application of data science.

The role can be based in Austin, Dallas, or Remote (US)  #LI-Remote.  Due to specific job requirements, remote employees may be required to travel up to 2 weeks per quarter.

THIS ROLE REPORTS TO
CTO

ABOUT THE ROLE

Shape and champion a holistic vision for the use and leverage of data, ML, and AI in the organization, make data science a key aspect of our product offering and drive bottom-line growth for our direct business and b2b partners.
Lead an organization of 20+ BI analysts, data analysts, and data scientists.
Focus on the application of analytics and data science to drive measurable business results
Partner closely with senior and executive leaders across the organization to drive operational excellence through data and create new business opportunities.
Partner with the Data Engineering team to ensure the best use of data tools, data sets, and data environment to support analysts and data scientists.
Lead data governance, ethics, and compliance in collaboration with legal privacy and compliance teams.
Support marketing teams by building attribution, propensity, and self-learning response models to gain deep knowledge and comprehensive understanding of the customer and run better targeting, funnel optimization, and audience selection experiments to drive towards automation of campaigns.
Working alongside the underwriting and actuarial teams to drive innovation in life insurance risk and price modeling.
Think outside of the traditional industry methods and use new data sources available to us to create new ways of modeling mortality, eligibility, and pricing.
Support revenue teams for Bestow’s own sales channels and those managed on behalf of enterprise customers with reporting and analytics

YOUR EXPERIENCE

5+ years experience in management, including indirect management of cross-functional teams.
10+ years experience in analytics and data science and demonstrable experience in building data science capability
Senior-level people leadership including the development of people leaders, and an understanding of organizational design strategies.
Flexible leadership style and willingness to be hands-on while building out teams and practices in a growing organization.
Expert in the selection and application of current technologies for analytics and data science (data warehouse systems, data visualization, data science platforms) including scalable data science environments
Technical depth to guide a team of AI/ML experts in applying the most appropriate techniques emphasizing driving business impact
Our data stack includes Tealium, DBT, Astronomer, Atlan, Python, Big Query, Arrikto, and Tableau. Familiarity with these and similar tools is required, as well as an eagerness to engage with teams on technical details. .
Familiarity with data vendor ecosystem and leveraging of third party data sets as extensions of first-party data

TOTAL REWARDS

Competitive salary, bonus & stock options
Open PTO plan
100% paid premiums for medical, dental, and vision insurance
Annual bonus based on individual and company performance
Generous equity grant based on level
Flexible work-from-home policy and open to remote

TOTAL REWARDS

Competitive salary and equity based on role
Annual bonus based on company and individual performance
Flexible PTO plan
100% paid premiums for medical, dental, and vision insurance
Paid parental leave
Annual lifestyle spending account to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Learning & Development opportunities

We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.


Data Scientist Machine Learning Ads Planning Opportunities

We are looking for a Machine Learning Data Scientist to work within the Ads Planning, Forecasting, and Opportunities team. This is a new team in Reddit Ads with the mission of building data intelligence and ML solutions for ads planning, optimization and automation. Some of the areas this team is responsible for include:

Planning advertiser engagements and ad campaign execution - develop scalable data processing pipelines and data analytics services for advertiser facing products that derive marketplace insights and leverage them to help Sales, Account Managers, and Advertisers to plan, execute, and optimize their ad spend on Reddit.

Forecasting the effectiveness of an ad campaign - employ machine learning to forecast the outcomes of an ad campaign to help advertisers plan their campaigns.

Opportunities - automatically analyze the performance of ad campaigns; derive and surface actionable suggestions (e.g. bid recommendation) to advertisers and account/campaigns managers on how to optimize the performance and improve return on investment.

You will work closely with engineers and product managers from our Ads team to 1) develop ML algorithms and toolings to empower various advertiser facing products, 2) shape the product roadmap and strategy. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Develop time series forecasting models using the most cutting edge algorithms to empower various advertiser facing products.
Work with product managers, engineers, designers, marketing, sales and a wider set of cross-functional partners to design, implement, and launch delightful products that improve business performance.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will focus on offline model prototyping and feature/model pipeline building, while relying on engineers for model serving. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations.
Partner with the Advertiser Platform team to enhance Reddit’s Ads Manager. Build tools that allow account managers to perform advanced campaign optimization on their own.

What We Can Expect From You:

Working knowledge in predictive forecasting models (e.g. time series modeling)
Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
Master’s or PhD degree is preferred but not required
Proficiency in machine learning, statistical modeling, and optimization
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Strong skills in SQL and programming (Python or R)
Experience in online advertising is preferred but not required


Sr Data Scientist Analytics Ads Measurement

We are looking for a Senior Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases.
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain


Data Scientist

What You’ll Be Doing

 Work with stakeholders to identify opportunities for leveraging company dataset to drive business solutions including new product features.
 Discover actionable insights from data sources and develop novel algorithms and models through the use of statistical, machine learning or deep learning methodologies.
 Optimize and improve performance of the algorithms and models to meet product and business strategies requirements.
 Assess the effectiveness and accuracy of data sources and data gathering techniques.

What’ll Help You Be Successful

 Degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Computer Science, or related STEM discipline.
 5+ years of relevant experience.
 Knowledge and experience in advanced statistical techniques and concepts (regression, properties of distribution, statistical tests, etc.) and experience with applications.
 Knowledge and Experience in a variety of machine learning and deep learning techniques, e.g. NLP and its real-world application.
 Proven ability to develop and deliver data science projects to production with large scale dataset.
 Experience in Pytorch, Tensorflow, Pandas, Numpy, scikit-learn, Matplotlib.
 Experience querying and analyzing data from various data sources: Postgres, MongoDB, etc.
 Experience in at least one programming language (Python etc.).
 Experience visualizing data for stakeholders.
 A drive to learn and master new technologies and techniques.

About Betterworks
Betterworks closes the loop between people, strategy, and results, enabling organizations to align even their most sprawling, dynamic teams. Industry leaders such as Intuit, Freddie Mac, Asurion, Udemy, Vertiv, HCSC, and the University of Phoenix rely on Betterworks to accelerate strategic growth by supporting transparent goal-setting, enabling continuous performance, and gleaning real-time employee engagement insights.
Betterworks is backed by Kleiner Perkins and Emergence Capital. John Doerr, iconic investor, OKR pioneer, and author of New York Times Best Seller "Measure What Matters," is a board member, and Josh Bersin, global HR thought leader, serves as an advisor.
Why Betterworks
At betterworks, we prioritize our people. In that spirit, we’ve put together a great benefits program to support our employees’ health and wellness that includes the the following:

Health Benefits. Employer paid comprehensive medical, dental, and vision insurance; Employer paid life, long-term disability, short-term disability insurances

Rest and Relaxation. Second Friday of the month off, end of year shutdown, flexible PTO policy

Family and Parenting. One hour/day calendar blocks for personal time, 12 weeks paid parental leave

Learning and Development. Free courses from top learning and upskilling platforms to support both your career goals and personal passions

Discounts and Perks. Discounts on health & wellness, travel, television, internet & cell phone, entertainment and more. Reimbursements for work-from-home setup and internet.

Betterworks is backed by Emergence Capital (Series B), Kleiner Perkins Caufield & Byers and 8VC.  BetterWorks has an experienced team from innovative companies like Amazon, Box, Google, LinkedIn, Palantir, Salesforce and Yammer.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse betterworks. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global betterworks Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.


Data Scientist

About the Role
We are hiring a Data Scientist to guide our product and business decision-making abilities. This position will involve creating data pipelines and extracting new knowledge from the telemetry data (e.g., AWS Performance Insights metrics) that OtterTune collects from customer database instances. An example of a question that our Data Scientist could answer with this data is what is the most common performance problem in a category of databases. Another could be how the performance of a customer's database changes when they upgrade software versions and what factors could account for such changes. The data artifacts that the Data Scientist will produce will guide critical strategic decisions as we scale up our product. You will work closely with leadership, the product team, and the engineering team to carry out your work. You will also work with the marketing team to publicly discuss and present findings from your analysis outside of the company to promote OtterTune's ability to help database users. This could also involve creating external-facing dashboards that provide aggregate information about interesting database trends.

We are interested in someone with a strong data analyst / mathematical background and not just having experience with using machine learning tools.

This role is a unique opportunity to join OtterTune in the early stages of its development where you can make a significant impact on the growth and adoption of our state-of-the-art product.

Who We Are
At OtterTune, we make database optimization simple. Our main offering is a cloud service that uses machine learning (ML) to automate the difficult process of database performance tuning. Based on cutting-edge database and ML research at Carnegie Mellon University, OtterTune analyzes a customer's database activity and learns the best configuration for it, thereby boosting database performance and lowering costs. OtterTune's recommendations frequently outperform those of experienced database administrators.

You Will

Design, build, and deploy analytics pipelines to empower business and product analysis and help us better understand our users.
Build dashboards and visualizations for both internal and external consumption (e.g., blog posts, social media, presentations).
Watch data trends and work with leadership to drive prioritization decisions.
Work with the marketing team to develop novel insights about how customers use databases across different application domains.

You Might be a Fit for the Role if You Have

3+ years working as a Data Scientist (or related role).
A degree in a quantitative field (such as Statistics, Mathematics, Computer Science, Engineering, or related field).
Experience building data visualizations and dashboards powered by statistical analysis used to inform business decisions.
Experience with implementing anomaly detection pipelines.
Experience with scripting languages such as Python, R, or a similar language.
Advanced experience with SQL and using data warehouse or database technologies (e.g., dbt, Legend).
Some experience using and administering MySQL or PostgreSQL databases (only a bonus).

Our Benefits

Comprehensive medical, dental, and vision plans for you and your dependents
401k plan with matching
12 weeks of paid family and medical leave
Flexible hours

We Would Still Like to Hear From You
Humans never stop learning. Everyone learns on the job, no matter what job it is. OtterTune employees are encouraged to take time to level up their skills. Even if you do not check all of the boxes, please reach out to us about this position if you are interested.

Building an Inclusive Workplace
OtterTune is an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. OtterTune embraces diversity and provides equal employment opportunities to all employees and applicants for employment. OtterTune prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Data Science Product Manager Fusion Team

Lucidworks is seeking a Product Manager with a data science background to work within our Product Strategy team to define and support the development of AI-powered applications and features on the Fusion platform. The role plays a critical part in growing Lucidworks’ brand presence and driving new business.

About Lucidworks:

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and healthcare providers. By fusing the power of search and AI, Lucidworks creates connected experiences for shopping, work, research, and support. Brands like Lenovo, Reddit, and Red Hat rely on Lucidworks to power personalized experiences that delight customers and empower employees.

Fusion is our cloud-native, ML-powered search platform that integrates open-source projects Spark and Solr with our proprietary code for user intent prediction, low latency search, hyper-personalization, and smart app creation. Our products include applications that run on the Fusion platform including Predictive Merchandiser, which helps eCommerce teams harness the power of ML to improve eCommerce conversion, Smart Answers, which enhances chatbots and virtual assistants with natural language processing and deep learning, and Never Null, which uses semantic vector search to deliver relevant results where lexical search yields zero results. We believe in building a team to deliver these products that make searching for insights a uniquely personal experience for a worldwide community of users.

Our Ideal Candidate:

You will collaborate with Sales, Marketing, Customer Support, and Partners teams to understand market opportunities, and with R&D and Solutions teams to define product initiatives and features. Your background in data science will enable you to collaborate with data scientists on the R&D and Solutions teams to identify opportunities to apply ML and deep learning approaches. You will be responsible for describing product features that are associated with measurable outcomes. You will succeed by managing a portfolio of ML features that delivers outcome-oriented results, rather than by delivering a number of features at some tempo.

Essential Functions and Responsibilities:

Manage the definition, vetting, and scoring of product features by synthesizing ideas for product improvements and new features with data from market research.
Collaborate with the Product team to help manage the product roadmap.
Apply data science to evaluate potential approaches involving data analysis and ML/deep-learning models. Involves creating training data, training models, and aggregating data to support actionable insights.
Write product initiative and feature requirements incorporating what the feature must do, the expected measurable outcomes of the feature, and how the outcomes will be measured.
Work in cross-functional teams to build field enablement materials delivered in the form of product documentation, best practices blogs, and training workshop curriculum.
Support Sales Cycles conversations in the capacity of product ownership and roadmap.
Represent Lucidworks at technical conferences and user gatherings.
Stay up-to-date on competing offerings in the market and build proposals on how to innovate in areas of high opportunity.
Stay up-to-date on emerging approaches in AI-related product initiatives.
Periodic travel as business dictates.

Desired Skills & Experience:

2+ years in applied data science. The ideal candidate will have experience in applying data science to improve the performance of product discovery or knowledge management products. You demonstrate an understanding of the product discovery and knowledge management markets.
2+ years in product management, technical sales, or technical implementation of scalable search platforms.
Degree in Computer Science, Mathematics, or related technical field.
Passionate about AI, machine learning, and the architectural concepts around scaling AI in search. You keep yourself up to date on the latest trends and are curious about how to apply them in a consumer setting.
Have led high-impact customer initiatives that materialized in a lot of value to the organization through the application of search and AI.
Have experience driving projects forward, writing detailed functional findings/requirements, diagramming, and solution architectures.
Demonstrated ability to synthesize qualitative feedback and quantitative data to support vetting and scoring of product features.
Exhibit great collaboration and communication skills at multiple levels of organizations.
Extensive practical experience with search and relevance tuning on platforms including SOLR, Python, and Spark.
Practical knowledge and understanding of technical details of state-of-the-art Machine Learning. Understand how AI and Machine learning projects are implemented.

Core Competencies:

Business Acumen - You have the ability to manage human, financial, and information resources strategically.
Technical Credibility - You understand and appropriately apply principles, procedures, requirements, regulations, and policies related to specialized expertise.
Problem Solving - You identify and analyze problems; weigh the relevance and accuracy of information; generate and evaluate alternative solutions; make recommendations.
Influencing/Negotiating - You have the ability to Persuade others; build consensus through give and take; gain cooperation from others to obtain information and accomplish goals.
Creativity and Innovation - You develop new insights into situations; question conventional approaches; encourage new ideas and innovations; design and prove new or cutting edge solutions.
Resilience - You deal effectively with pressure; remain optimistic and persistent, even under adversity. You recover quickly from setbacks
Continual Learning - You assess and recognize your own strengths and weaknesses; you pursue self-development
Accountability - You hold yourself and others accountable for measurable high-quality, timely, and cost-effective results. You demonstrate professionalism, a crisp communication style, and discipline.
Resourcefulness -  You are willing to jump in, work with both opportunity and constraint, and leverage existing resources to accomplish goals
Team player-   You are confident collaborating with a diverse community of people and personalities across geographies, backgrounds, and professional abilities
Outstanding interpersonal and written communication skills
Empathy and care for all stakeholders of Lucidworks, including employees, executives, customers, partners, and guests

Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company. Thank you for your interest and we look forward to learning more about you.

COVID Vaccination:
Lucidworks policy requires employees to be vaccinated before they visit an office.

We are a remote first company but in certain positions where office attendance is deemed to be essential to the role, offers of employment shall be conditional upon proof of vaccination or exception.

Please note that at this time Lucidworks is unable to sponsor US employment authorization (both new and transfer).

About Lucidworks

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and healthcare providers. By fusing the power of search and AI, Lucidworks creates connected experiences for shopping, work, research, and support. Brands like Lenovo, Reddit, and Red Hat rely on Lucidworks to power personalized experiences that delight customers and empower employees.

Fusion is our cloud-native, ML-powered search platform that integrates open-source projects Spark and Solr with our proprietary code for query intent prediction, low latency search, hyper-personalization and smart app creation. Our products include applications that run on the Fusion platform including Predictive Merchandiser, which helps ecommerce teams harness the power of ML to improve ecommerce conversion and Smart Answers, which enhances chatbots and virtual assistants with natural language processing and deep learning. We believe in building a team to deliver these products that make searching for insights a uniquely personal experience for a worldwide community of users.

Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company. Thank you for your interest and we look forward to learning more about you.


Data Scientist

Job Title: Data Scientist
Location: Remote (US-Only)

About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales.
InMarket, which raised no venture capital funding to date, holds more than 27 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 20 states.

Your Role
Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.

Responsibilities and Duties

Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
You will be focused on data related to Advertising Measurement
Take ownership of core machine learning products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our machine learning platform

Qualifications

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.

Benefits Summary

Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.


Data Science Intern Uk

NOTE: Candidates applying should be available from July 1st to December 22nd 2022.Sense builds home monitoring technology to help people understand their household energy consumption, know what is going on in their homes, and ultimately reduce their energy footprint.  We help make homes safer, more efficient, and more reliable. We are serious about impacting climate change, and we regularly measure reduction in carbon emissions from our technology.Sense was founded in 2013 by pioneers in speech recognition technologies. This background provides the team with the intuition to unlock key insights relating to home energy efficiency and deliver those insights to customers. We use machine learning technology to provide real-time insights on device behavior. Customers rely on Sense for a wide range of uses including monitoring their home appliances, determining whether they left appliances running, finding faulty appliances, and identifying how to reduce energy costs.We are looking for an intern or co-op to join our Data Science team in 2022. You’ll be diving into messy time-series data, improving our visualization tools, exploring data-driven modeling, and ultimately improving our customers’ visibility into their homes. We are looking for someone who is: Passionate about the energy sector and climate change Eager to work in a young, fast-paced, and exciting startup environment A 3rd year, 4th year, or graduate student working towards a numeric degree: computer science, electrical engineering, applied mathematics, physics, etc. Familiar with classifiers and regressors in machine learning. Experienced in software development in Python. Adept at communication: eager to learn insights from data and present them to the team. Nice to have Experienced in signal processing, time-series / frequency analysis, algorithms, and data structures. Experience with Jupyter notebooks. Experience with software development tools: git, testing, debugging. Experience with deep learning frameworks such as Tensorflow or Pytorch. Benefits Be a part of a team that will make a difference in the world. Gain experience at a startup building a consumer product from the ground up. Work with a small team of experienced entrepreneurs creating revolutionary technology. Deep dive into a wide range of interesting software problems to be solved.


Senior Data Scientist

Job Title: Senior Data Scientist
Department: Product and Technology
Location: Remote - US
POSITION SUMMARY
The Senior Data Scientist at Velocity Global will be responsible for managing all aspects of the data science process within IT as a shared service for internal and external customers. Responsibilities include data curation/management, model construction, evaluation, and implementation, working with stakeholders to determine where data science could best be applied throughout the company to create value, and the creation of data products to drive increased revenue. The ideal candidate will have had at least five years of experience working as a data scientist, preferably in a management capacity. In addition to technical expertise, this position will require excellent customer service skills and creativity in the use of data to create insights and drive sales.
RESPONSIBILITIES

Assist in the data management process to ensure data is well organized for data science application

Create classification and regression models for tasks such as: marketing targeting, customer churn prediction, and supported employee survivorship

Perform statistical tests to assist in data analysis

Time series modeling for sales forecasting

Creation of data products for sale to external customers, e.g. job matching between clients and candidates

Work with data engineering to implement models in Airflow and Snowflake

Assist the business in developing use cases for data science and helping to scope and shape modeling asks

QUALIFICATIONS/SKILLS

Implementation of standard algorithmic techniques such XGBoost, elastic net regression, dimension reduction (e.g. PCA), deep neural network architectures, ARIMA, clustering (e.g. K-means), and statistical testing methodologies (e.g. chi-square)

Knowledge of and experience working with RDBMS and No-SQL databases

High proficiency in SQL and Python

Additional experience with R preferred

Experience with data visualization platforms such as Looker and Tableau

Master's degree in a quantitative field such as mathematics, statistics, computer science, engineering, or physics. Ph.D. preferred.

5-10 years working as a data scientist, preferably with management experience

OUR VALUES
Velocity: Exceeding expectations of our customers, colleagues, and ourselves by delivering swift and effective results.
Integrity: Doing right by our customers, colleagues, and ourselves through honest and ethical actions.
Be Bold: Daring to take risks, learn, and grow to benefit our customers, colleagues, and ourselves.
Empowerment: Owning our decisions and being accountable for the impact we have on our customers, colleagues, and ourselves.
Service: Supporting our customers, colleagues, and ourselves with respect and empathy.
As a work anywhere company, Velocity Global fosters a values-driven culture. We value inclusion and belonging. We encourage applications from all qualified candidates regardless of age, ancestry, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
If you have a disability or special need that requires accommodation, please contact us at TalentAcquisition@VelocityGlobal.com.
WHAT WE DO
Velocity Global is one of the fastest-growing companies in the world. Our Global Work Platform™ enables the world’s leading companies to identify, hire, and pay the best talent in over 185+ countries, and all 50 United States. More than 1,000 brands rely on our Global Work Platform™ to build highly collaborative global teams with ease. At Velocity Global, we make working from anywhere, anytime, possible.
WHO WE ARE AS A TEAM
We are a team of passionate, creative, empathetic, and innovative, “owner-employees”, committed to building the world’s #1 cloud-based, next-gen Global Work Platform™.
If you wake up compelled to innovate, collaborate and laugh, you should apply!
#LI-REMOTE


Senior Data Scientist Product

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Senior Data Scientist (Product) and data scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission.
Responsibilities:

Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.

Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.

Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.

Act as an owner: It’s not done until it’s in production.  Adept at moving projects forward and able to unblock projects regardless of the role on the project.

Do less, deliver more: Familiar with the terms YAGNI and yak shaving?  Focus your efforts on high impact initiatives that really move the needle.

Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”.  Each line of code is an opportunity to blend craftsmanship with playfulness.

Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.

Stay on your edge: Continuously learning and applying emerging technologies.  Pushing yourself and your team to new heights.

Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.

If you have some or all of the following please apply:

Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred
5+ years of relevant industry experience, at least part of which in a startup environment
Succeeded in a remote work environment

Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.

Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.

Experience with Transformer-based models for language and vision
Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
Experience with multimodal systems, RecSys, and personalization is also a plus
Strong verbal and written communication
Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:

13 paid holidays

4 BetterUp Inner Work days (https://www.betterup.co/inner-work)

5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote


Senior Data Scientist

Veeva Systems 75407Ec3 C252 43Be 8A3A 11E7Aa2C3E62

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care."Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.

Your analysis will shape the product roadmap for a new Link product focused on clinical trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.

We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.

You can work remotely anywhere in Germany, but you have to live in Germany and be legally authorized to work there without requiring Veeva’s support for visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it.

What You'll Do

Develop machine learning models at scale and in AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI to your platform
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at terminal scale

Requirements

4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Fluent in Python/Java and experience with bashing script
Strong analytical skills and data curiosity
Good English and strong communication skills
Experience in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset

Nice to Have

Background in clinical (trial) data
Experience in life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, or graph-processing
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes and relevant distributed computing for training and inference
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow

Perks & Benefits

Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund

#RemoteGermany

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.


Applied Data Scientist Ii Public Sector

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping the global public health fight to eradicate malaria, creating datasets and predictive models to map where digital equity outreach is needed? Civis Analytics is looking for an Applied Data Scientist to join our public sector (government) ADS practice and help us solve some of the most challenging and interesting questions our customers face today.
The Applied Data Science (ADS) team is the solutions and advisory arm of Civis Analytics and works closely with organizations to help solve their toughest challenges with data science. This role of Applied Data Scientist will support clients in our public sector vertical specifically and report to an Applied Data Science Lead.
Responsibilities

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

Unifying large datasets, often by combining trusted public datasets, data from our customers and data generated by Civis
Building predictive models
Deriving clear, actionable, and timely insights from analyses
Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
Working with cross-functional teams of data scientists, solution architects, product teams and engineers where necessary to create and implement solutions

Other job responsibilities of an Applied Data Scientist include:

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

Travel requirements: < 5%

Qualifications

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

SQL experience a plus

Experience with statistical programming languages (R, Python, etc.) and an understanding of how to apply statistical concepts
Experience with presentation or data visualization software, such as Google Slides, Microsoft PPT, Tableau, R Shiny, etc.
Excellent interpersonal and communication skills
US work authorization

Preferred Qualifications

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

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

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

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

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


Senior Data Science Manager Sustainability

We’re an international agtech startup pioneering an ambitious mission in a budding industry where agriculture meets technology. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. Indigo is extraordinary, and we owe that to the individuals who make up our community and enable success through diversity of thought, experience, background, perspective, race, sexuality, gender, age, and everything else that makes a person uniquely themselves. Connected by a common vision and empowered by diversity, we aren’t ordinary, and neither are you. Embrace your extraordinary and join Indigo in cultivating a healthier planet fueled by unique game changers.
The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:

Operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy

Partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies

Strategic decision support with forecasting and scenario planning
Partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience.

The role:
We are looking for a senior manager to lead a cross-disciplinary team of data scientists, analysts, and software engineers to own the end-to-end flow of ground truth measurements for both 1.) Indigo's current Carbon program and 2.) future opportunities related to sustainability. The approach could include reviews of the scientific literature, analysis of soil and agronomic datasets, and use of simulation, modeling, and machine learning.
As such, the role involves an operational component generating sampling plans, sending agents to the field to collect soil samples, and lab sample reconciliation—ideally improving the processes and tools to both improve efficiency, scale, and reliability with reduced cost—as well as insight generation and integrating systems into our core technology platform. It also involves a more strategic and R&D component, partnering with our science team to examine the latest literature, open and proprietary data, evaluate partner field experiments, and make recommendations about our program and offering.
Quantifying soil organic carbon sequestration effect sizes and uncertainty are at the heart of our program. This involves developing sound methodological approaches. To thrive in the role, you will be comfortable with experimental design, statistics, and the vagaries and realities of real world, messy, experimental data. You do not need an agronomic background (but it would be a bonus) but you must be comfortable diving into a new domain and understanding the latest bleeding edge technologies, literature, and approaches. Indigo has a highly collaborative culture, thus you will thrive partnering with other squads, engineers, influencing the higher level roadmap and cat herding. Finally, you embody the player-coach approach, and willingly roll up your sleeves to act as an individual contributor (mostly in Python) alongside your team and other collaborators.
We are looking for someone who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program, an expanded Sustainability offering, as well as growing, nurturing, and managing a team of like-minded data scientists, analysts, and software engineers.

Responsibilities

Partner with our science team to review literature, and design, analyze, and draw insights from field experiments and make program recommendations for Carbon sequestration programs as well as other aspects of sustainability.
Collaborate with product managers and engineers to productionize soil data-related systems including sampling algorithms and plans, QA/QC, lab data reconciliation, and other aspects of the Carbon program operational data flow and processes.
Manage a team of data scientists, analysts, and software engineers. Provide tactical and strategic leadership, nurture their personal development and career.
Contribute to the culture, standards, processes, and knowledge sharing and learning within the broader Carbon data science team, as well as with our partners that span remote sensing, product, engineering, science, policy, and leadership.
Own the roadmap: be a strategic thinker that can span the big picture, paint a compelling vision of the future, influence leadership to obtain the necessary resources and prioritization but dip down to backlogs, tickets, and story points to make progress.

Competencies:

Managed a team of data scientists, statisticians, or analysts for at least 2 years in an industrial setting. Bonus points for startup experience.
Enjoy collaborating across multiple disciplines, including product, science, and engineering.
Strong communication skills, ability to listen, story tell, and influence partners, especially in a remote first environment.
A strong statistical background, especially in sampling, bias, experimental design, and uncertainty. Simulation, Bayesian approaches, and MCMC experience could be useful.
Extremely comfortable working with data, databases, SQL, APIs, data munging, and other data preparation and cleaning tasks.
Experience with the agile process and methodology, developing a robust backlog, and designing and getting buy in to the roadmaps.
A hands on player coach mindset, keen to code and dig into data, review PRs, and drive process, standards, and best practices to get high quality and impactful tools, models, and data products into production.
A growth mindset: own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Interest in and experience with one or more of agriculture, environmental science, agronomy, climatology and/or geospatial data in some form is a big plus.

Minimum Qualifications:

Track record of delivering actionable insights, and impactful productionized models and data products
Fluency in Python and SQL
Experience initiating and driving projects to completion with minimal guidance
Demonstrated experience in hiring, retaining, and scaling high-performing teams

Preferred Qualification:

Ph.D or Masters or a Graduate Degree in Computer Science, Math, Statistics, Physics, Engineering, or related quantitative field
Experience in a startup environment

Benefits:

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

Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.
#LI-RO1
#LI-Remote


Data Scientist Applied Research Intelligent Systems

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.8M subscribers in nearly every country worldwide.

We’re defining the workforce of the future with Scribd Flex, a program that embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.

Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico.

*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.

About the Team
Applied Research works on a variety of ML and NLP projects like spam detection, graph neural network recommendations, and embedding-based search. We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from prototype to production. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts.

About You
You are a curious person who enjoys tackling hard problems. You got into data science because you love being at the forefront of what is possible and the idea of building intelligent systems that scale to reach millions of people inspires you. As a data scientist, you have a deep appreciation for project-based learning and you enjoy picking up new skills.

You will
- Build reproducible and scalable ML models in Python and Spark.
- Partner with ML engineers and software engineers to create state-of-the-art ML systems.
- Develop comprehensive knowledge of Scribd’s data structures and metrics.
- Write up analyses and produce visualizations that estimate the impact of potential projects and evaluate the business results produced by the ML models.
- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.
- Participate in the interview process, read & present research papers, and share your results in project deep dives.

You Have
- 3+ years experience in data science or ML engineering.
- BA/BS in a quantitative discipline.
- Intermediate level or greater experience with Python.
- Experience with data manipulation, aggregation, and pipeline building.
- Sufficient statistical skills to make effective ML modeling tradeoffs. Industry experience in at least one of the following fields: natural language processing,  deep learning, or supervised learning on structured data.
- Energy and passion for learning what’s necessary to solve a business problem and make a positive business impact.
- A keen interest in keeping up to date in the field of ML by reading papers and attending classes or conferences, using these state-of-the-art approaches to tackle business problems.
- Preferred: Experience with Spark.

Benefits, Perks, and Wellbeing at Scribd

• Healthcare Insurance Coverage: Scribd pays for 100% of all employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous continuing education annual budget for employees to attend conferences, classes, and pursue courses relevant to keeping skills current
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.

Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing HR@Scribd.com about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. If you are still not sure or feel that you don't meet 100% of the requirements, apply anyway! We don't hire off keywords. We hire people who are willing to learn from mistakes and want to grow in their careers. Come join us in building something meaningful.

 #LI-Remote


Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This remote opportunity requires you to be located in the United Kingdom.

We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

Where You Come In:

Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products.
Design, execute, and analyze complex business and user experiments.
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform.
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience.
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders.

What It Takes to Succeed:

MS/PhD in quantitative field and a few years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.

What You'll Get:

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
£150 monthly reimbursement to help cover remote working expenses.
£75 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
£56 per month to use toward qualifying wellness expenses.
Quarterly team offsites.

#LI-Remote

Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Data Scientist M F D

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity has the option to be fully remote throughout Germany.

We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

Where You Come In:

Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products.
Design, execute, and analyze complex business and user experiments.
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform.
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience.
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders.

What It Takes to Succeed:

MS/PhD in quantitative field and a few years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.

What You'll Get:

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
30 days paid vacation per year plus one floating holiday.
€150 monthly reimbursement to help cover remote working expenses.
€89 caregiver reimbursement to support dependent care for families.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
Complementary elective German lessons for international employees.
€67 per month to use toward qualifying wellness expenses.
Quarterly team offsites.

Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Healthcare Research Scientist Iii Us

POSITION SUMMARY:

We are a passionate and distributed team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. We are looking for an experienced healthcare analytics professional to assess impact of our offering and identify and quantify improvement opportunities.

A day in the life:

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

About the team:

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, project reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded analyst and enable them to take on more complex tasks in the future.

JOB REPONSIBILITIES:

Conducts statistical analyses to answer complex business questions
Analyzes various data sources: administrative claims, electronic medical records, surveys, patient-reported outcomes, operational data
Partners with stakeholders, applies analytic findings to enhance clinical and operational processes, improves customer experience, clinical, and financial outcomes

IDEAL CANDIDATE IS:

A scientific leader - efficiently delivers complex solutions to ambiguous business problems; possesses an analytic toolkit and identify the right methods for poorly-defined and ambiguous problems; invents new approaches and adapt methods from other disciplines
An influencer - a trusted partner in business and customer discussions; understands and communicates cross-team perspectives and makes sound decisions about trade-offs; interprets scientific findings to promote high-speed decision-making
High standards and her/his work is exemplary and detail-oriented. Ensures accuracy, applicability, and scalability of your solutions
Identifies and implements opportunities for improvement
Deep expertise in healthcare analytics and the current healthcare landscape. Follows developments in research and analytic methodology and business innovation
A teacher and a learner - provides and solicits respectful feedback from peers and leaders and mentors junior colleagues. Active in scientific community and participates in recruiting and promotion processes

REQUIRED QUALIFICATIONS:

5+ years of professional experience in healthcare advanced data analysis, modeling, and translating analytic findings into insight for business audiences
5+ years of hands-on experience accessing and summarizing data from large databases (e.g. using SQL), implementing statistical analysis, modeling, and data mining methods (e.g. using R, Python, STATA, SAS), and visualizing data for business audiences (e.g. using Tableau)

PREFERRED QUALIFICATIONS:

Experience with retrospective study methods, including econometric techniques (e.g. propensity score matching, instrumental variables)
Experience with prospective study design and measurement (e.g. power analysis, A/B testing, experimental design and randomization)
Experience with healthcare utilization forecasting, risk modeling, and patient segmentation
Publication and presentation record in high-caliber healthcare, economics, statistical methods and machine learning venues
Experience collaborating with business, clinical, operations, finance, engineering, and product development partners to identify business needs and translate them into analytic questions
Ability to communicate effectively and concisely with both technical and non-technical audiences
Strong problem solving, organizational, and time management skills
Meet/exceed the company's functional/technical depth and complexity for this role
Meet/exceed the company's leadership principles requirements for this role


Healthcare Research Scientist Ii Us

POSITION SUMMARY:

We are a passionate and distributed team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. We are looking for an experienced healthcare analytics professional to assess the impact of our offering and identify and quantify improvement opportunities.

A day in the life:

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

About the team:

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, project reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded analyst and enable them to take on more complex tasks in the future.

JOB REPONSIBILITIES:

Conducts statistical analyses to answer complex business questions
Analyzes various data sources: administrative claims, electronic medical records, surveys, patient-reported outcomes, operational data
Partners with stakeholders, applies analytic findings to enhance clinical and operational processes, improves customer experience, clinical, and financial outcomes

IDEAL CANDIDATE IS:

A problem solver – utilizes exceptional problem-solving skills to define analytic solutions to ambiguous business problems, knows when to seek direction and input
A doer – delivers analytic solutions for individual projects and participates in larger initiatives, delivers analytic artifacts and detailed documentation of implementation and findings
A team player – partners with technical and non-technical colleagues to scope and design solutions; learns the business context and emerging technologies
A communicator – effectively communicates technical content to technical and non-technical audiences

REQUIRED QUALIFICATIONS:

4+ years of professional experience in healthcare advanced data analysis, modeling, and translating analytic findings into insight for business audiences
4+ years of hands-on experience accessing and summarizing data from large databases (e.g. using SQL), implementing statistical analysis, modeling, and data mining methods (e.g. using R, Python, STATA, SAS), and visualizing data for business audiences (e.g. using Tableau)

PREFERRED QUALIFICATIONS:

Experience with retrospective study methods, including econometric techniques (e.g. propensity score matching, instrumental variables)
Experience with prospective study design and measurement (e.g. power analysis, A/B testing, experimental design and randomization)
Experience with healthcare utilization forecasting, risk modeling, and patient segmentation
Publication and presentation record in high-caliber healthcare, economics, statistical methods and machine learning venues
Ability to collaborate with non-technical partners to participate in identification of business needs and formulation of analytic solutions
Ability to communicate effectively and concisely with both technical and non-technical audiences
Strong problem solving, organizational, and time management skills
Meet/exceed the company’s functional/technical depth and complexity for this role
Meet/exceed the company's leadership principles requirements for this role


Data Scientist

You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.

JOB REPONSIBILITIES:

Research and develop ML learning models and technology to power Neuro-ID products
Data analysis and visualization

REQUIRED QUALIFICATIONS:

2 -4 years experience delivering data science projects analyzing and modeling real-world problems
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
Familiar with Python (pandas, NumPy, sci-kit-learn, etc) and SQL, experience with Snowflake and/or Looker is a plus
Ability to adapt to a fast paced and flexible work environment


Senior Data Scientist Product Analytics Belfast Uk Or Us

The Product Analytics team is a key part of product development at Slice.
As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Data Scientist who can provide data-driven insights to our leadership and executive team.
You will work on data science and analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.
What you'll do

Work closely with product managers, software engineers, and designers to build and execute a data-driven product roadmap
Define metrics and success criteria for new and existing company initiatives
Work cross functionally with the Finance, and Go To Market teams to drive roadmaps and inform key strategic decisions
Define metrics and utilize dashboards to measure the health of our initiatives
Identify and clearly communicate actionable insights for cross functional stakeholders
Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions

Essential Criteria

MS/MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
3+ years of total experience in a highly quantitative role
2+ years of experience as a data scientist
Working experience in statistics, experiment design and evaluation
Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
Impeccable communication skills and ability to share complex, uncertain results to an executive audience

About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 900+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.


Assistant Director Data Science

The Global Demand Modeling team has an exciting opportunity for a Assistant Director, Data Science position that will use data science to drive deep understanding of consumer behavior and insurance economics with the goal of improving our pricing and product design across the globe. This role requires creative problem solving and the application of data science techniques to challenging problems, particularly focused on isolating causal relationships in data. This Individual Contributor role will work with both global functions and local market teams.
Responsibilities
Advance the science of Demand Modeling through the research and application of new techniques; identify and leverage synergies between markets.
Build complex models that isolate causality when data includes both random and pseudo-random treatment effects.
Recommend/implement pricing adjustments which consider the holistic impact to the business
Support relationships between global and local teams
Job Specifications:
Reference:  2022-47813
Category: Analytics
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$129,500.00-–-$169,400.00-/-Year
Education Level:
 Travel: As Needed


Senior Manager Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
·                   Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
·                   Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
·                   Manage a team dedicated to building analytics insights for the contact center operations to support the work of Discover front line, partnering with dedicated customer experience teams outside of our organization, as appropriate
How You’ll Do It
·                   Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, algorithm & recommendation to solve business problems.
·                   Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
·                   Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
·                   Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
·                   Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
·                   Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
·                   Bachelor’s Degree in Analytics, Engineering, Statistics or related field
·                   8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
·                   2+ years of experience in People Management
Bonus Points If You Have
·                   Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
·                   6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.