Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Data Scientist  (Remote)

Reports to: Manager
Business unit: Data Science
Location: Remote

The Nielsen Company is the largest global measurement company in the world with unique measurement technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work.  We focus on what consumers watch, listen to, and buy in over 95 countries worldwide.  Data Science is core to what Nielsen does, and our research projects have high visibility in directly impacting the results of our business and our clients. This Data Scientist role in the Digital Product team provides an opportunity to contribute to methodological innovation in the exciting and fast-changing world of digital media measurement. This is an ideal position to grow as a researcher and engineer, contribute to innovative methodologies capable of scaling across Nielsen’s data assets, and develop subject-matter expertise in digital methodology and cross-platform audience measurement.

Currently, we are seeking a Data Scientist to join one of our cutting edge research teams in the Digital and Advanced TV space. In the quickly evolving privacy landscape of digital data, we have an exciting opportunity working with some of the most influential companies in technology to improve existing methodologies and research and develop entirely new solutions to the problem of audience measurement.

Job Responsibilities

This is a challenging and exciting role that offers exposure to a wide assortment of Nielsen data assets.  In this role, you will work directly with cross-functional internal teams to optimize data systems and build them from the ground up. The right candidate will be excited by the prospect of combining Nielsen’s proprietary data assets with their statistical modeling and software development skills to enable the world’s biggest brands to make better and faster decisions. Your responsibilities will include

Work alongside scientists and engineers as the subject matter expert for building machine learning pipelines in our cloud environment.
Driving technical solutions to complex business problems, from lightweight automation to designing and building robust machine learning solutions.
Develop, implement and maintain good programming standards and practices across our analytics codebase.
Independently writing custom Python and SQL code.
Providing research support that leads to the enhancement of existing methodologies or the creation of new methodologies.
Collaborating with Application Development and Technology teams to integrate and test new modules in production pipelines

Requirements

E- Experience in pipeline management (building/debugging/optimizing), software development, and data analysis
 E- High fluency in Python and SQLE-
Experience with machine learning techniques and data pipeline/workflow management tools: Airflow, Luigi, etc.
E- Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical.
E - Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background

Scope

Budget Responsibility: None

Key interface relationships (internal and external):  Internal Technical Teams

Number of employees managed:  0

Number of employees indirectly managed:  0

Number of third party employees (contractors/outsourced) managed: 0

The role is global/regional/ local: Regional/Local

Breadth of functions under management:  Other factors indicating size/complexity of role: Must be able to translate business needs into technical solutions

#LI-GR1


Staff Data Scientist

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

TECHNICAL EXPERIENCE

·       Design, build, assess, deploy, and interpret statistical machine learning models that inform and advance our programs in pricing, odds and trading

·       Research novel modeling techniques and methods to identify new trends/opportunities

·       Establish best in class experimentation practices to quantify impact of key attributes and events; evangelize data-driven product development by fostering a culture of experimentation and research
COLLABORATION

·       Partner with senior management to develop, plan, measure and implement complex initiatives that address issues and align with key objectives
IMPACT

·       Capture business requirements for data science solutions and communicate data science output and recommendations to ensure alignment of strategy and project execution that has impact on business strategies
LEADERSHIP/AUTONOMY

·       Take on a leadership role across disciplines by serving as the central point of coordination and control in projects to ensure cross-business collaboration

·       Graduate degree in statistics, mathematics, economics, computer science or other quantitative disciplines, or extensive relevant experience in machine learning and data science with proven track record to drive innovation and business impact

·       Strong strategic thinking, written and verbal communication, and resource prioritization skills

·       Experience with risk optimization models, odds compiling and comparison, and other mathematical models systems in a prior role preferred

·       Proven track record in building impactful data-driven product features that impact business goals

**Must be open to occasional travel to events and Bet Fanatics offices for various offsite and team meetings.
**If you possess some of these skills but not all of them, we still encourage you to apply!

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Senior Data Scientist

We're Karat, the leader in technical interviewing

Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission!
Come join our Data team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

3-5 years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services

This is a full-time, salaried position. Immigration sponsorship is not available.
Karat is a remote company with employees throughout the United States, Canada, and the United Kingdom. For this position, we are only considering individuals based in the United States.

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.
Karat is an E-Verify company.


Staff Data Scientist Algorithms

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
As an ML Data Scientist in the Platform team you will work with a diverse collection of structured and unstructured data to design, build, and support machine learning models. You will collaborate with a strong team of engineers, product managers, designers and operation agents to incorporate these models into scalable and robust systems that enable exceptional product experiences.
The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of Machine Learning practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
Typical ML challenges include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Developing NLP models to add intelligence to Airbnb's interactions with guests and hosts in messaging, customer service and more.
Utilizing Deep Learning techniques for advanced feature engineering and model building; e.g. how to model for user behavior sequences.
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company
Working cross functionally with operations and product teams to define and collect labels for model training; leverage active learning and other human-in-the-loop techniques to improve ML efficiency.
Developing machine learning models to interact with the right users using the right content at the right time through the right marketing channels to optimize Airbnb’s long term business impact, such as Guest Booking Propensity Model, Churn Prediction Model, Guest to Host Propensity Model.
Traits we value for this role include:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
6+ years industry experience developing machine learning models at scale
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML best practices, e.g. skew minimization, A/B testing, feature engineering, model selection), algorithms (eg. gradient boosted trees, deep learning, optimization) and domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as Spark, Airflow, Tensorflow, PyTorch
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Benefits
Stock
$2,000 yearly employee travel coupon
Competitive salary
Paid time off
Medical, dental, & vision insurance
Life & disability coverage
401K
Flexible Spending Accounts
Apple equipment
The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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
Apply now


Staff Data Scientist Inference Marketing Technology

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
About the Team
The Marketing Technology team is responsible for driving host and guest growth. We do this through devising data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine learning models. We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding.
About the Role
We are looking for a Staff Data Scientist to help improve our measurement of brand marketing and develop insights that support how we plan and optimize campaigns. The ideal candidate will have a strong knowledge of causal inference, the ability to work effectively with multiple stakeholders, and an eagerness to improve our measurement and insights. Examples of projects you might work on include leveraging third party data and quasi-experimental methods to estimate the impact of offline media, developing short-term proxies for marketing’s long term impacts, exploring data from digital tests to find actionable insights, or working with the marketing team to improve campaign targeting. If you’re passionate about using your skills to understand and improve the impact of our brand marketing, we want to hear from you.
Responsibilities
Inference: Apply or develop causal inferences methods to estimate the effect of Airbnb’s offline advertising
Experimentation: Design and analyze experiments to measure the effectiveness of our digital marketing spend
Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
Communication: Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Required Qualifications
8+ years industry experience in a quantitative analysis role (6+ years with PhD degree)
Strong knowledge of causal inference and experimentation
Skilled in statistical programming (Python or R) and database usage (SQL)
Ability to solve business problems using appropriate methods and models
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Ability to translate complex findings and results into a compelling narrative
Preferred Qualifications
PhD in Economics, Statistics, Marketing, or related field
Strong knowledge of Bayesian statistics
Passion for marketing and consumer science; a desire to keep up with and find opportunities to apply academic research
The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Apply now


Senior Data Scientist Algorithms

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
As an ML Data Scientist in the Platform team you will work with a diverse collection of structured and unstructured data to design, build, and support machine learning models. You will collaborate with a strong team of engineers, product managers, designers and operation agents to incorporate these models into scalable and robust systems that enable exceptional product experiences.
The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of Machine Learning practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
Typical ML challenges include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Developing NLP models to add intelligence to Airbnb's interactions with guests and hosts in messaging, customer service and more.
Utilizing Deep Learning techniques for advanced feature engineering and model building; e.g. how to model for user behavior sequences.
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company
Working cross functionally with operations and product teams to define and collect labels for model training; leverage active learning and other human-in-the-loop techniques to improve ML efficiency.
Developing machine learning models to interact with the right users using the right content at the right time through the right marketing channels to optimize Airbnb’s long term business impact, such as Guest Booking Propensity Model, Churn Prediction Model, Guest to Host Propensity Model.
Traits we value for this role include:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
2+ years industry experience developing machine learning models at scale
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML best practices, e.g. skew minimization, A/B testing, feature engineering, model selection), algorithms (eg. gradient boosted trees, deep learning, optimization) and domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as Spark, Airflow, Tensorflow, PyTorch
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Benefits
Stock
$2,000 yearly employee travel coupon
Competitive salary
Paid time off
Medical, dental, & vision insurance
Life & disability coverage
401K
Flexible Spending Accounts
Apple equipment
The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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
Apply now


Senior Manager Data Science

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Trust is at the foundation of every Airbnb experience and as such we aim to make it the most trusted platform in the world. To achieve this goal, the Data Science team relies on a diverse collection of structured and unstructured data to design, build, and support machine learning models to detect and prevent potential negative experiences and fraud attempts.
As a Senior Data Science Manager you will manage a large team and collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, prevent and mitigate fraud on Airbnb. You will be deeply involved in the technical details of building highly available and real-time risk detection services to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community. As a senior leader in Data Science, you will set best practices, architect solutions, design processes and manage a highly skilled team that continues to grow.
Some of the challenges you will face include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Experimentation of new Airbnb product features to deter and mitigate risk.
Working cross functionally with operations and product teams to define and collect labels for model training, optimize effectiveness of manual review, and build self-satisfiable verifications that scale.
Devising optimization models to make optimal business decisions while minimizing risk
Innovating modeling frameworks in this adversarial setup, e.g., how can models collaboratively surface more risks, or how can models adapt to emerging patterns quickly
Building NLP models to detect spam and inappropriate content on the fly.
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences, or how can we detect anomalies effectively.
Here are example traits we value:
12+ years industry experience and an advanced degree in a quantitative field
8+ years of management experience in developing machine learning models at scale from inception to business impact.
Understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization.
Comfortable in SQL and proficiency in one of the tools such as Python, R, etc.
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it
Passion for management and creating opportunities for career growth for team members
Ability to communicate clearly and effectively to cross functional partners of varying technical levels
Relevant trust and fraud mitigation experience is a plus.
The starting base pay for this role is between $210,000 and $260,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
Apply now


Sr Data Scientist Us

SENIOR DATA SCIENTIST
OVERVIEW:
Do you see patterns or opportunities that others don’t see?  Do you enjoying asking questions and analyzing data to deepen your knowledge?  Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights?  Do you like to find the best way to tackle a problem and share the approach with others?   General Mills is seeking a Data Scientist to join a new data science team in Digital and Technology that is tasked with collaborating with and enabling existing functional data science and analytics teams.  This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
KEY RESPONSIBILITIES
Develop novel ways to help business partners achieve objectives through analysis and modelling Think outside the box to identify and test new sources of information that unlock new business value Curate and connect external data sets for broad enterprise-wide analytic usageBe a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teams Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal resultsUtilize machine learning to create repeatable, dynamic, and scalable models Have passion to advocate and educate on the value and importance of data driven decision making and analytical methods Identify and develop long-term data science processes, frameworks, tools, and standardsBe a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
MINIMUM QUALIFICATIONS
6+ years of experience with at least 2 years of relevant experience in Data ScienceComfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights Experience with Python and R, comfortable working with DataFrames Experience in the ECommerce spaceAbility to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc) Experience writing complex SQL queries Understanding of data warehousing and databases is critical Experience with data visualization tools Number sense, ability to identify questionable data, dig in and address it Exemplary organizational skills with attention to detail and accuracy Bias for action with ability to deliver outstanding results through task prioritization and time management Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs
PREFERRED QUALIFICATIONS
Bachelor’s Degree required; Data Science, Computer Science, Engineering, Math, or Statistics preferred Experience with machine learning Mathematical and statistical background Experience with Hadoop, Hive, and/or Spark
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Senior Data Scientist Identity Data Practice

Job Description
In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities – leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
We prioritize analytical thinking, creativity and computer science skills over ad tech industry experience.  If using internet-scale data to drive business impact excites you, and you enjoy the kind of research that starts with a blank sheet of paper that turns ideas into a new technological reality, we want to talk to you.
Responsibilities
Lead and individually contribute to data science and machine learning R&D projectsUse your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problemsInterview candidates for open positions on our teamLead and contribute to projects from early-stage research through development, in consultation with stakeholdersProvide technology leadership to yield innovative differentiating solutionsImplement and optimize state-of-the-art algorithms in distributed environmentsWork with our Engineering teams to integrate your solutions into Epsilon PeopleCloud Digital Media Solutions platformDevelop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasetsParticipate fully in our collaborative approach to research and applications projects
Qualifications
Ph.D. in a computational, mathematical, engineering, or scientific fieldFluency in computer programming, data structures, and algorithm designProven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problemsProven ability to lead development projects from conception through deploymentProven ability to lead and conduct research projects2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithmsDemonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasetsAbility to gather cross-team project requirements from diverse stakeholders and set expectations for deliverablesVerbal and written communication skills, including the ability to summarize technically complex information for a non-technical audienceOrganizational, motivational, and interpersonal skills
Additional, But Not Required Skills
Spark librariesScala programmingPython programmingSQL queriesExperience with distributed computingExperience with Hadoop and cloud databases


Manager Statistics

Job Description
The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making.  The Manager, Statistics is responsible for designing, planning, and managing statistical projects from start to finish.
Responsibilities:
Design, plan, and manage statistical projects from start to finishServe as the statistics lead on projects employing various data analysis techniques and statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical softwareEnsure the timeliness, quality, and statistical validity of all analyses, output, and presentationsProvide strategic technical direction to cross-functional resources and less-experienced peersManage multiple projects concurrentlyMonitor project progress relative to timeline and scope


Data Scientist

"Backbone feels as first-party as you could make something that is literally not first-party feel." - TechCrunch

“The way that Backbone unifies gaming experiences across AAA iOS ports like Warzone or Minecraft, Xbox and Playstation Remote Play and now native xCloud games feels like the way of the future for mobile gaming in a way that none of the individual players… [have] managed to get right.” - TechCrunch

Backbone is growing the data team to help discover more insights and build better products from its wealth of gaming data. We are looking for a Data Scientist that has experience leading deep product analysis to uncover insights, crafting robust datasets, and building great data products based on ML/statistical applications.

As one of the first members on the data team, you’ll get to help shape the data team from the ground up, define best data science practices within the organization, and lead explorative analyses to influence the product roadmap.

What you'll be doing

Analyze our vast collection of gaming and product data to discover insights, build models to answer key business questions and address customer problems, and make business recommendations across the company from engineering teams to the CEO
Use SQL and Python to prepare, clean, and transform data into robust datasets
Collaborate with product and engineering to build data-powered features in the Backbone app
Design, create, and maintain data dashboards to help the team make better data-driven decisions
Work with our feature teams to design experiments, define success metrics, and analyze feature performance

What we're looking for

Passion for discovering data insights and high data quality
1-2+ years experience as a Data Scientist, Data Engineer, Data Analyst, or Software Engineer in data
Expert in SQL and Python
Ability to perform data science/analytical investigations to drive business decisions
Ability to communicate effectively to stakeholders of varying technical levels
Ability to define and implement key metrics for both business level objectives as well as feature level goals
Background in computer science and software engineering fundamentals
Remote friendly
Bonus points: See yourself as a Data Generalist with an emphasis on Data Science
Bonus points: Familiarity with dbt, Mode Analytics, and/or Sisu Data
Bonus points: Worked as a Data Scientist on a consumer/mobile product


Senior Data Scientist

Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.

Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.

We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!

In this role you will partner with our internal teams and current customers. Your specialization in Natural Language Processing / Deep Learning to solve a variety of practical challenges in building chatbot. Your deep curiosity and tenacity, combined with business judgment will help you as you build end-to-end products that bring actively contribute to Fountain’s rapid growth.

Reporting to the Director, Data Science, you will have the opportunity to showcase your work to the leadership team.

What you'll be doing:

You will need to analyze problems, design solutions, deploy solutions as inference APIs / pipelines, maintain solutions and improve models
You will have technical discussions with teammates and ML Engineers to get more help with technical challenges and to share your findings with others. You will also share your project updates, timeline estimation and resource requirements with the Product Manager to ensure on-time deliverables
Program using R, Python, Javascript, Java, or C++
Perform big data modeling work: BigQuery, Pig, Scala, Spark
Fish for data: SQL, Pandas, PostgreSQL
Deploy Data Science solutions: Java, Python, C++
Can communicate concisely and persuasively with marketers, engineers and product managers.

What you should bring:

Bachelor’s degree required in Computer Science / Computer Engineering or other relevant fields
Two years working experience with a programming language such as Python
At least one year working experience in Natural Language Processing / Deep Learning related fields
Basic Natural Language Processing techniques, such as Tokenization, Name Entity Recognition, and Text Classification, etc
Familiar with the stat-of-the-art deep models such as BERT, GTP and beyond
Experience in some of the following domains: language model / text classification / text clustering / summarization generation / intent prediction
Familiar with machine translation / knowledge graph / reinforcement learning is a bonus
Significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale
3+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis
Strong ability to code in Python
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring

Nice to have:
Advanced graduate degree (e.g., MBA, PhD, etc.)

Amazing Perks & Benefits we provide for our employees include (but are not limited to):
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
16 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan

Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.

We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.

*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*


Data Scientist Advance Development

At Instructure, we believe in the power of education to improve the lives of learners and educators. Our goal is to expand that power by creating products that simplify learning and personal development, facilitate meaningful relationships between teachers and students, and inspire people to go further in their education and career.

To succeed, we need smart, creative, and passionate people who are excited about solving some of education's hardest challenges. That is where you come in. We are hiring engineers and data scientists to prototype, explore, and experiment with the future of education on our advance development team. Examples of our projects include:

- Using NLP to generate quiz material from course content
- Predicting student success and alerting educators when a student is at-risk
- Prompting students when they are likely to forget an upcoming assignment
- Providing verifiable credentials to students for completed certifications or acquired skills

What you will do

Work with our product strategy team to identify areas of focus
Research possible solutions and build proof-of-concept models
Evangelize new technology and approaches in our engineering organization
Demo prototype solutions and write informal research papers for internal stakeholders

What we look for

Experience with ML tools in Python or R
Ability to solve complex problems requiring in-depth analysis and research
Previous experience building models that rely on large datasets
Strong communication and collaboration skills
Passion for learning and professional development
Desire to work in a team-oriented environment

Get in on all the awesome at Instructure

Competitive salary, equity and 401k.
Medical, dental, disability, and life insurance.
HSA program, vision, voluntary life, and AD&D.
Tuition reimbursement.
Paid time off, 11 paid holidays, and flexible work schedules.
Gym club reimbursements and rewards-based fitness tracking.
iMacs or MacBooksQuarterly hack week, where individuals and teams can experiment and build whatever they want
Yearly internal technology conference
Monthly technology talks

We’ve always believed in hiring the most awesome people and treating them right. We know that the more diverse we are, the more diverse our ideas will be and when we openly welcome those ideas, our environment is better and our business is stronger.

At Instructure we participate in E-Verify and yes, in case you didn’t catch it from the above, we are an Equal Opportunity Employer.

All Instructure employees are required to successfully pass a background check upon being hired.


Staff Principal Data Scientist Ads Machine Learning

We are looking for a Staff or Principal level Machine Learning Data Scientist to lead the Ads Quality team. You will work closely with engineers and product owners from our Ads team to 1) set up the vision and product strategy of ads quality and relevance, 2) optimize ads delivery and auction systems through utility function design, 3) measure various marketplace tradeoffs. This person is an industry leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.
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:

Research, design and develop contextual ad relevance models. Reddit ads are a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality.
You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery.
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 work mainly on offline modeling and rely on engineers to productionize your models. 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 needed for training, testing and productionizing models.
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

Industry leader in online advertising with a focus on ads marketplace
8+ years of experience (for Bachelor’s/Master’s); 6+ years of experience (for Phd) in quantitative/modeling roles
Proficiency in machine learning, statistical modeling, and optimization
Understanding of experimentation and causal inference analyses
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Computer vision experience strongly preferred
Strong skills in SQL and programming (Python or R)


Arity Data Science Manager Insurance

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
Our Data Science team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100’s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. We are a team of data scientists, data engineers, software engineers, and analysts that take full ownership of our use of a variety of languages and techniques and a top-notch technology stack to advance the state of the art for mobility data science. As a part of the team, in collaboration with product owners and other experts, your work will showcase your intelligence and creativity as you solve real problems that will improve transportation and even save lives. Personally, we think that’s pretty game-changing stuff.
The Role
We are seeking a highly motivated and experienced Data Science Manager for our Insurance Segment. You will lead a team of world-class data scientists and analysts dedicated to creating the best insurance telematics solutions in the market. You will help us build the next generation of driving behaviors and the risk models that insurers will use to make prices both more accurate and fairer. Your team will help us find new sources of telematics and figure out how to leverage them alongside existing ones. You will have influence over our mobile capabilities, backend APIs, and many other aspects of our platform.
Rersponsibilities
Be a servant leader for data scientists and analysts through coaching, mentoring and career development
Drive continuous improvement of data science and data engineering practices to create world-class capabilities
Influence the Insurance product strategy and roadmap with your combination of data science expertise and domain experience
Partner with Insurance leaders to translate the roadmap into priorities and tangible tracks of data science and analytics work
Work with stakeholders and your team to ensure all projects have appropriate measures of success, strong acceptance criteria, and good high-level design
Support the Insurance segment in continuing to enhance our culture and effectiveness in operations
Support sales and customer success efforts by demonstrating Arity’s analytics maturity coupled with humility and empathy
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Qualification
Bachelor’s degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field. A Master’s degree is preferred.
At least 5 years of industry experience in data science or related roles, with at least 2 years working in Insurance or InsurTech.
Good understanding of insurance pricing; actuarial experience is valuable, but not essential.
Respected by peers for their technical prowess in R or Python and other ML frameworks
Solid understanding of principles of predictive analytics, machine learning and BI
Experience managing technical teams of data scientists, data engineers, or data analysts
Experience leading end-to-end data science projects to generate measurable business value, including ideation, development, deployment, and maintenance & monitoring
Ability to envision and articulate radical change through highly innovative thought leadership
Inspires, mentors, and enables team to be bold and deliver high quality work
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace these conditions
Great interpersonal communicator / collaborator with both technical and non-technical team members
Competitive with themselves while being humble
What’s in it for you?
Generous PTO, and plenty of holidays. Take the time you need to refresh.
Medical, Dental, & Vision.
401k with match, plus a pension.
All jobs at Arity are remote.  You want to work from a Florida beach for the summer? We’re all adults – go for it.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Compensation offered for this role is $123,000.00-$169,500.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Arity Data Science Lead Core

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
Our Data Science team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100’s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. We are a team of data scientists, data engineers, software engineers, and analysts that take full ownership of our use of a variety of languages and techniques and a top-notch technology stack to advance the state of the art for mobility data science. As a part of the team, in collaboration with product owners and other experts, your work will showcase your intelligence and creativity as you solve real problems that will improve transportation and even save lives. Personally, we think that’s pretty game-changing stuff.
The Role
We are seeking a highly motivated and experienced Data Science Manager for our Core Telematics Services Segment. You will lead a team of world-class data scientists and analysts dedicated to creating the best telematics data and insights platform in the market. You will help us build the next generation of deep mobility insights by extracting relevant patterns from users’ trip data using machine learning and geospatial techniques. Your team will help us find new sources of telematics data and figure out how to ingest, normalize, and process it at a scale of over 1,000 trips per second with full system observability. You will have influence over our mobile capabilities and build insights that are used across Arity product segments.
Responsibilities
Be a servant leader for data scientists and analysts through coaching, mentoring and career development
Drive continuous improvement of data science and data engineering practices to create world-class capabilities
Influence the Core Telematics Services product strategy and roadmap with your combination of data science expertise and domain experience
Partner with Core Telematics Services leaders to translate the roadmap into priorities and tangible tracks of data science and analytics work
Work with stakeholders and your team to ensure all projects have appropriate measures of success, strong acceptance criteria, and good high-level design
Support the Core Telematics Services segment in continuing to enhance our culture and effectiveness in operations
Support sales and customer success efforts by demonstrating Arity’s analytics maturity coupled with humility and empathy
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Qualifications
Bachelor’s degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field. A Master’s degree is preferred.
At least 5 years of industry experience in data science or related roles
Geospatial, sensor, or telematics experience is quite valuable, but not required
Respected by peers for their technical prowess in R or Python and other ML frameworks
Solid understanding of principles of predictive analytics, machine learning and BI
Experience managing technical teams of data scientists, data engineers, or data analysts
Experience leading end-to-end data science projects to generate measurable business value, including ideation, development, deployment, and maintenance & monitoring
Ability to envision and articulate radical change through highly innovative thought leadership
Inspires, mentors, and enables team to be bold and deliver high quality work
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace these conditions
Great interpersonal communicator / collaborator with both technical and non-technical team members
Competitive with themselves while being humble
What’s in it for you?
Generous PTO, and plenty of holidays. Take the time you need to refresh.
Medical, Dental, & Vision.
401k with match, plus a pension.
All jobs at Arity are remote.  You want to work from a Florida beach for the summer? We’re all adults – go for it.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Job Description
Compensation offered for this role is $108,000.00-$147,000.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Sr Data Scientist Udemy Business Marketing

About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work:  Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
While the ideal location is San Francisco, we are also able to hire remotely
Sr. Data Scientist, Udemy Business Marketing
The Role:
Udemy is looking for a senior data scientist to partner with our ever growing Udemy for Business (UFB) marketing team. Udemy for Business is a curated solution of business-relevant and technical courses delivered through a simple platform to provide a business’s employees with the most engaging learning experience. Udemy data scientists focus on using a combination of both quantitative methods and business intuition to find actionable insights that drive key business decisions.
As a Senior Data Scientist, you will be partnering with business leaders, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses to drive business decisions. You will serve as a UFB marketing subject matter expert, especially while working with other data scientists, and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, and strong communication and collaboration skills.
Here Are Some Questions You Could Be Working On:
How do we measure the effectiveness of different levers to increase the UFB growth funnel?
Which marketing levers help drive learner and administrator engagement?
What can we do to optimize the UFB growth funnel?
How can we segment users to create more customized marketing messaging?
What key metrics can marketing levers help drive?
Here is what you will be doing:
Collaborate with stakeholders to inform business and UFB marketing decisions
Effectively communicate and present to both technical and non-technical audiences
Provide technical mentorship to others
Design and analyze standard experiments and conduct ad hoc analyses
Define metrics and build dashboards to track UFB marketing and business health
Continuously improve the quality and accessibility of data
Knowledge and willingness to use the right tool (a scripted model, a dashboard, a presentation) for each analysis
We Are Excited About You Because You Have:
4+ years of relevant work experience, or 2+ years of relevant work experience with a post-graduate education such as MS or PhD in a quantitative field
Ability to communicate effectively with non-technical stakeholders
Strong business intuition and judgment
Strong level data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Minimum Salary Requirement: $134,000.00
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.


Principal Data Scientist Inference

Data Scientist in our Inference track draw on a combination of complex experiments, causal inference methods, and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer satisfaction? what makes a healthy marketplace and how do we measure it?
As a Data Scientist in our Inference track you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses requiring causal inference to inform business decisions. Success in this role requires a combination of business intuition, broad knowledge and expertise of causal inference methods, practical data analysis experience, and strong communication and collaboration skills.
Note: Inference is one of three data scientist tracks at Udemy (Insights, Inference, and Algorithms). Please refer to those job descriptions for additional context and only apply to one of the three roles.
Responsibilities
Collaborate with stakeholders to inform business direction
Perform data analyses that may require causal inference to surface business insights
Proactively influence prioritization through data-driven insights
Provide technical mentorship to others
Design and analyze complex experiments beyond those of a standard A/B test
Assist other Data Scientists and perform ad hoc analyses when necessary
Build Udemy’s technical brand through talks, blog posts, and publications
Qualifications
6+ years of relevant hands-on industry experience in causal inference/econometrics, decision science, and/or experimental design
Ability to communicate effectively with non-technical stakeholders
Extensive knowledge of applied statistics, experimental design, and causal inference/econometrics
Strong business intuition and judgment
Strong data storytelling and data visualization ability
Proficiency with SQL and 1+ programming languages (e.g., R or Python)
Minimum Salary Expectations: $157,000


Principal Data Scientist Inference Pricing

Title: Principal Data Scientist, Inference (Pricing)
Location: Remote
About this role
We’re excited to say that this is a fully remote role with eligibility to work anywhere in the United States. While you will get together with your team on a semi-regular basis (monthly or quarterly, depending on the team), we want you to thrive wherever you work best!
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work:  Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.
While the ideal location is San Francisco, we are also able to hire remotely.
Udemy is looking for a Principal Data Scientist for our growing Monetization Decision Science team. This team is a critical partner to the company’s overall Pricing and Promotions teams working on optimizing marketplace pricing to grow the business by delivering the right value to its customers.
Our Montenization Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive pricing related decisions at Udemy.
Here Are Some Questions You Could Be Working On:
What is the right price for a course? When should we make price changes?
How does price sensitivity vary across different markets and course characteristics?
How often and when should we promote courses? What is the right level of discount?
How does pricing in our marketplace impact other lines of our business (e.g. B2B offerings)?
How can we balance between long term and short term effects of price changes?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the area of pricing and promotions
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Monetization Decision Science team
Provide both technical and strategic guidance to team members
Develop end-to-end modeling solutions for price optimization, build and maintain relevant data pipelines and workflows
Lead experimentation and causal analysis (beyond standard A/B tests) to support pricing decisions and improve pricing models
Define metrics and build dashboards to track health of the pricing system
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience preferably in the pricing and promotions domain (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design
Ability to communicate effectively with non-technical stakeholders
Strong business and product intuition as well as judgment
Strong data storytelling and data visualization ability
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
Minimum Salary:  $157,000 Per Year
We understand that not everyone will match the above qualifications 100%. If your background isn't perfectly aligned but you feel you would be a great addition to the team, we'd love to hear from you.
If you just can’t wait to learn more about Udemy (believe us, we get it!) and the incredible work that our teams are doing, here are a few more resources:
How Udemy Started [video]Udemy on GlassdoorColorado EPEWA Information
Investor Overview
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Senior Staff Data Scientist Inference

Data Scientist in our Inference track draw on a combination of complex experiments, causal inference methods, and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer satisfaction? what makes a healthy marketplace and how do we measure it?
As a Data Scientist in our Inference track you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses requiring causal inference to inform business decisions. Success in this role requires a combination of business intuition, broad knowledge and expertise of causal inference methods, practical data analysis experience, and strong communication and collaboration skills.
Note: Inference is one of three data scientist tracks at Udemy (Insights, Inference, and Algorithms). Please refer to those job descriptions for additional context and only apply to one of the three roles.
Responsibilities
Collaborate with stakeholders to inform business direction
Perform data analyses that may require causal inference to surface business insights
Proactively influence prioritization through data-driven insights
Provide technical mentorship to others
Design and analyze complex experiments beyond those of a standard A/B test
Assist other Data Scientists and perform ad hoc analyses when necessary
Build Udemy’s technical brand through talks, blog posts, and publications
Qualifications
5+ years of relevant hands-on industry experience in causal inference/econometrics, decision science, and/or experimental design
Ability to communicate effectively with non-technical stakeholders
Extensive knowledge of applied statistics, experimental design, and causal inference/econometrics
Strong business intuition and judgment
Strong data storytelling and data visualization ability
Proficiency with SQL and 1+ programming languages (e.g., R or Python)
Minimum Salary Expectations: $134,000


Senior Staff Data Scientist Insights

Description
As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.
As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Here Is What You Will Be Doing:
Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain.
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
At least 5 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intu
ition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)

Minimum Salary Expectations: $134,000


Manager Data Science Go To Market

We’re looking for an experienced leader to join our data science org who is excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager for the Go to Market team, you’ll work closely with your team, sales and marketing leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go to market activity.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

Lead, support and grow a diverse team of data scientists who own all aspects of data within the marketing and sales organizations

Partner with marketing and sales leadership to set strategy, priorities, and mission for teams and projects

Foster a data driven culture by elevating metrics reporting and understanding
Guide development of new and more sophisticated applications of data
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Grow your career in an engaged and creative community

We’d love to hear from you if you have:

3+ years of experience managing high output marketing and sales data science teams

Consistent record of influencing marketing and sales functions and shipping high-quality data products that support organizational objectives

Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling

A passion and unwavering commitment to leveraging data and metrics to guide business decisions

A desire to build an inclusive and diverse culture
Experience scaling teams in high growth environments

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team:

From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values


Data Scientist Product

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

We’re looking for experienced data scientists to work with our core product teams, who will take ownership of the team’s data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing.

Teams we’re currently hiring for:

Community: the vision for the team is to move Figma from standalone design tools to an ecosystem and platform. This is where our users share, explore, and gain inspiration from one another. We provide the support for creators to thrive with the power of the design community and take their design process to the next level. The ideal candidate for this team will have a wide breadth of technical experience and be excited about tackling data science problems ranging from strategic analytics to experimentation and machine learning for content ranking.

FigJam: this is Figma’s newest standalone product offering, and it’s one of the company priorities this year. FigJam is an online whiteboard for teams to ideate and brainstorm together. The ideal candidate for this team will have exceptional problem solving and storytelling ability, a strong sense of ownership, excellent stakeholder management, and a track record of using data to influence product teams and help them achieve their goals.

What You'll Be Doing:

Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and optimize the product experience
Design and evaluate experiments to measure improvements to UI and algorithms
Generate ideas to creatively leverage data for shaping future product roadmaps
Drive democratization of data through creation of new datasets and tooling
Design and surface metrics to guide decision making
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing

We’re looking for someone with:

Degree in a quantitative field (Advanced degree preferred)

3+ years relevant work experience
Fluency in Python, R or similar scripting language
Proficiency in SQL

Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)

Breadth of knowledge around statistical methods and experiment design, including A/B testing, sequential testing, synthetic control, cluster-randomized testing
Excellent judgment and creative problem solving skills
A self-starting mindset along with strong communication and collaboration skills

Read more about our team:

From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values


Data Scientist Sales Analytics

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

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

About the Role:

The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data analyst to make an immediate and meaningful impact within a hyper growth start-up.  We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Partnership Ecosystem. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.

What You Will Do:

Partner with FP&A team and Sales Ops & Strategy team to drive the long-term roadmap of GTM productivity
Transform the business problems with proper context into mathematical problems
Develop dashboards and reporting to improve visibility of financial KPIs and company metrics
Work with data engineering team and business system team to streamline the metric calculator and operationalization
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What You Will Bring:

Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Excellent data manipulation skills, proficiency in SQL.
Proficiency in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You An Edge:

1+ years of experience in data science and analytics.
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.

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Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

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

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

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Research Scientist Machine Learning Deep Learning

Who you are:You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.
Responsibilities:

Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Information Retrieval, Complex Networks, Recommender Systems.
Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
Contribute to the research community via publications in top tier venues, participation in program committees, etc.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Productionize and ship research into Dataminr’s products, and thus to its users worldwide.
Senior candidates are expected to lead technical areas and/or people.

Minimum qualifications:

Ph.D. in Computer Science or related fields
Experience in one or more of the following topics: topic detection & tracking, text classification, summarization, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc.
Outstanding publication record (CIKM, WSDM, ICWSM, ICML, KDD, NeurIPS, RecSys, SIGIR,  WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
Experience in Python, Java, Scala, Python, or similar languages.
Experience with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).

Why you should work here:

We recognize and reward hard work with:

company paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance
401(k) savings plan with company matching
flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses

We want you to be your best, authentic self by supporting you with:

a diverse, driven, and passionate team of coworkers who want you to succeed
individual learning and development fund and professional training
generous paid time off; including sick leave and 100% company paid parental leave
remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation and health and fitness app reimbursements

…and this is just to name a few!
Note: For this role, only candidates with Ph.D.s in the areas above will be considered. If you do not meet that requirement please consider either the Data Scientist or other positions.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
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