nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist at Everstream Analytics

JOIN OUR TEAM
Everstream Analytics is looking for a Data Scientist to join our Data Science team. As a member of Data Science, you will join a dynamic team of people focused on our next generation product. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry.
POSITION OVERVIEW
In this role, your focus will be to implement Knowledge Graph models, algorithms, experiments and deployable code that bridge operational needs with strategic vision. You will spend time tackling day to day decisions and contributing to strategic vision. You will learn current processes, build data backed solutions, automate solutions, launch your work to production, and audit implementation.  In the simplest terms, we want candidates who have experience building models to solve real industry problems that have been deployed in a real production software environment and where the model performance was really important.
Principal Accountabilities

Initiate the efficient implementation of methods, tools, and algorithms for preliminary data exploration, data visualization and preparation, model training, and algorithm validation and verification using a comprehensive range of software packages and programming languages
Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources
Interpret and evaluate the results of data science community's methods and models and/or algorithms, understanding the limitation and scope of the results
Respond to difficult data science-related challenges in a timely manner while effectively balancing competing priorities
Present information and results of analysis using data visualization techniques

Qualifications

Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred. Equivalent work experience is also acceptable.
2+ years’ experience in building and deploying predictive analytics models using advanced machine learning algorithms and techniques such as: clustering, classification, regression, anomaly detection, natural language processing
Proficiency in Python and SQL
Experience with analytical development tools and libraries such as Pandas, NumPy, Scikit-learn, Spacy, PyTorch, Keras
Familiarity with graph theory, graph query languages, graph algorithms
Self-starter with a curious attitude and a willingness to learn and master new technologies
Ability to act easily in a global environment, with understanding of cultural differences and behavior
English: both oral and written proficiency, with ability to clearly communicate technical results to both technical and non-technical audiences

Desired skills

Experience with graph databases, query languages and graph DS libraries (Neo4j strongly preferred)
Familiarity with knowledge graphs and entity resolution
Exposure to graph-native machine learning models such as GNNs
Experience developing applications in AWS

#LI-AB1
Data Scientist at Koddi

Passionate about development in leading technologies? Looking to become a major player on a diverse team in your next career adventure? Koddi Data Scientists drive innovation by embracing challenges and leveraging decision science to solve complex problems in adtech. In this position, you will be responsible for designing, building, and deploying complex systems to model and glean useful insights from billions of rows of data. You will inform decisions based on complex statistical modeling using machine learning, optimizing and forecasting algorithms powered by industry-leading technologies. 

WHAT YOU WILL DO

Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization and marketing science research
Use models to address key growth challenges and provide meaningful insights on problems such as cross-channel optimization, targeting optimization, and A/B testing
Provide thought leadership in applying innovative machine learning techniques to solve complex data science problems
Work with cross-functional teams to implement and improve data-driven solutions
Use large scale data processing such as Spark, Hive, and machine learning platformsCollaborate with marketing leadership, design, product and engineering teamsParticipate in project planning/prioritization meetings, partner meetings, etc



WHAT SKILLS AND EXPERIENCE YOU BRING

Minimum of 2 years of working experience as a data scientist with a focus on marketing analytics, machine learning, optimization, real-time bidding (RTB) and digital campaign measurement.
You have an advanced degree in statistics, computer science, operational research, engineering or related field. PhD preferred
Demonstrated expertise with Python. 
Experience with Spark and TensorFlow.
Worked extensively with machine learning techniques and advanced analytics (e.g. regression, deep learning, causal inference, mathematical optimization)
Advanced SQL skills - comfortable working with very large data setsPreferably, you have experience with cloud environments such as AWS.



ABOUT KODDI


Koddi's award-winning ad technology platform provides a robust network for brands to connect with consumers and drive revenue through native sponsored placements, metasearch, and programmatic media campaigns. 


Based in Fort Worth, Texas, Koddi has additional office locations in New York, Ann Arbor, Austin, San Francisco, and Düsseldorf. We embrace all ways of working inclusive of remote work, in-office work or hybrid work - we want your best self and will support your work preference based on your needs and Koddi’s need. 

Koddi has been ranked by Forbes, Deloitte, and the Inc. 5000 as one of the fastest-growing companies in the nation. We’re on a mission to forge a better path to discovery through integrity, insights, inclusivity, and innovation. Come join us!
Data Scientist at Goodway Group

What You Will Do
A Data Scientist at Goodway Group is at the center of the drive for a data-informed culture. We create models using data from the billions of ad impressions served daily across hundreds of advertisers. We productionalize models with Python, Airflow, and Kubernetes. We test models statistically rigorous AB-tests that impact thousands of advertising campaigns. We work closely with product managers, engineers, and analysts to elevate the use of data at Goodway Group.

Design, build and deploy models that optimize the performance of advertising campaigns. 
Work with stakeholders from across the business to gather, understand, and develop actionable use cases for data science products. 
Combine data expertise and domain knowledge to elevate and maximize the use of data at the organization. 
Perform analysis that generate actionable insights and construct data narratives that convey complex ideas to non-technical stakeholders. 
Be constantly learning the latest technologies and trends. 
Provide expertise and leadership on making technical decisions 

Who You Are
The ideal candidate has multiple years of hands-on experience with modeling and statistical analysis, as well as exposure to the digital marketing and advertising space. You work in Python, know SQL, and have a familiarity with engineering tools like Airflow and AWS. Most importantly you’re curious and have a desire to drive impact with your work.  
Preferred qualifications: 


Degree in computer science, math, statistics or another quantitative field 


Adept with Python and exposure to modern software development practices like version control with GitHub 


Knowledge of statistics and modeling best practices 


Experience with digital advertising and marketing 


Excellent at communicating complex ideas and can convey ideas accurately and concisely to both technical and non-technical stakeholders 


Curious and eager to learn new paradigms, tools, and processes; can do so quickly and thrive in a fast-paced, rapidly changing, work environment 


Independent and able to responsibly work from home
Data Scientist Senior Or Lead at Progressive

As a Senior or Lead Data Scientist with the Machine Learning Engineering team, you’ll advance the use of technology, machine learning, applied statistics and large sets of labeled data to develop solutions across multiple business units and IT.  You'll work across the enterprise to identify and implement solutions, promote best practices, and advocate for the data science community.  In this exciting role, you'll have a direct impact on machine learning, engineering, leadership, and business consulting.  You'll own the end-to-end model development and deployment process, going from idea to production. You'll work closely with the business and IT to shape the future of data science teams and best practices for the data science lifecycle. Remote work allowed.
Must-have qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Delivered multiple customer-facing products, models, and systems into production
Two years of experience using Linux, GitHub (version control), public cloud infrastructure and mathematical model creation; with machine learning and statistical model creation and/or evaluation, EDA, feature engineering, hypothesis testing, and experimental design
Skilled in Linux, SQL, Bash & highly proficient in Python
Demonstrated thought leadership in data driven decisioning that had a tangible impact on business and ability to perform in an ambiguous environment  
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-Remote
Data Scientist All Levels at Convoy

About the team: The Science & Analytics team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will:

Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact

We’re looking for someone who has:

Minimum of 2-7+ years of industry experience in Data Science 
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail

Nice to Haves:

Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps
Data Scientist at Jw Player

About JW Player:
JW Player is the leading video software and data insights platform that gives our customers independence and control in today’s Digital Video Economy. Founded over a decade ago as an open source video player, JW Player’s technology platform now powers digital video for hundreds of thousands of businesses across NA, EMEA, APAC and LATAM. Each month, there are over 1 billion viewers across 2.7 billion unique devices consuming video on JW Player’s technology. 
The Data Science Team: 
The Data Science team at JW Player uses the billions of data points that we collect from our video player and products to create novel data products and improve existing products through research and experimentation. We develop models to meet critical business needs, and we champion a data-driven culture at JW Player.
The Opportunity: 
JW Player is looking for a Data Scientist to join our internationally growing team. As a Data Scientist, you will be a part of a collaborative, creative, multidisciplinary team of Data Scientists, Engineers and Analysts. This is an exciting opportunity to make an impact with R&D decisions, product analytics, and machine learning models for one of the most innovative companies in the video space. 
As a Data Scientist, you will:

Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization

Requirements of the role:

1+ years experience of developing data science products
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, Numpy, Scipy, & Scikit-learn
Knowledgeable and experienced with statistical modeling and machine learning
High proficiency with SQL and relational databases
Exceptional data visualization skills
Good organization skills, ability to lead multidisciplinary projects
An ability to story tell with data to technical and non-technical audiences

Bonus Points:

Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto


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.
Senior Manager Data Science at Playstation

•Guides the creation of performant data systems and analysis that work at scale for multiple projects.•Provides coaching, performance evaluations, career development support and opportunities for team members.•Collaborates with studio leadership to support studio cultural values and foster a positive work environment.•Collaborates with project management to maintain a team schedule that meets project goals and deadlines while supporting a sustainable team workload.•Guides and manages the data team's work and ensures its positive impact of the data, from the micro (engineering analysis of bugs and performance) to player experience with the game itself, and the macro (financials, customer acquisition and retention, etc.).  Collaborates with many partners, including engineering, finance, design, and leadership.•Works closely with Design, engineering and other departments to provide technical, scheduling, and creative feedback on game, develops project goals and communicates technical requirements and limitations.•Directs strategy for data collection, storage, and retrieval; builds, buys, borrows, or partners to implement solutions.•Structures and staffs team appropriately, including acting as hiring manager for and ensuring efficient onboarding of new employees.•Maintains thorough understanding of team’s technical systems and provides guidance to team members.•Contributes direct technical work, though never at the expense of non-technical responsibilities.•Ensures that all complaints and concerns related to inappropriate or unprofessional conduct in the workplace are addressed immediately to foster a safe work environment•Evaluates games in development to help inform data science tools, techniques, and decisions.•Other duties may be assigned.
Senior Manager Data Science at Andela

About the role

Andela’s two-sided marketplace is a multifaceted hub of expert talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns, and many others. Data Science (DS) is a crucial weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning (ML) on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. The Senior Manager, Data Science role at Andela will be the primary conduit for all data science-related projects for Andela’s product marketplace as well as other business initiatives. You will be managing a team of high-quality data scientists, collaborating with the machine learning and operations research technology leads, coordinating all data science activities, and guiding execution in collaboration with the Andela data, engineering, and product teams.
Key Responsibilities

Manage a team of data scientists and coordinate with technology leads.
Execute projects in collaboration with data, engineering, and product teams.
Work with the Director of Data Science on defining data science team composition and roadmap for the autonomous talent marketplace.

Requirements:

Graduate degree (MS/Ph.D.) in engineering/information systems / applied science or equivalent practical experience.
High fluency in ML algorithms and other data science approaches.
Minimum 5 years of work experience deploying algorithms in production for impactful B2B or B2C products.
Flexibility in working with a variety of data science approaches.
Evidence of team management and leadership in a multifaceted environment.


Benefits

Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from Andela.
Quarterly work from home stipends.
Flexible working hours.
Equity (as a part of compensation package).
Healthcare, 401k / pension (US only).
Andela Affinity Groups.
Growth & development paths.
Generous Paid Time Off, Parental Leave, Compassionate Leave.
And more to come! We're on a journey to reimagine global benefits at Andela.

#LI-MV1
Principal Data Scientist Customer Analytics at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, work to help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business.
We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way.
We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programsYou will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolioInvolved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progressBe a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insightsYou will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R)Ability to create raw data and analysis into well-written contentExperience designing and analyzing experiments that impact product decisionsPassionate about customer experience, and customer analytics as a craftAbility to share analyses and recommendations to non-technical audiencesUnderstanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines
Machine Learning Scientist at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist specializing in paid user acquisition to join our Core Machine Learning team based in Mountain View, CA. The Core Machine Learning team builds and deploys ML modeling solutions to improve revenue and increase our active user base. This is accomplished by driving the complete end-to-end ML development cycle. We offer a unique opportunity to work in a collaborative environment, implementing the latest machine learning techniques, including NLP modeling, to solve tough, yet unique problems in the marketing space.
Your future team
The Core Machine Learning team at Atlassian is an agile team of machine learning scientists and engineers. It works cross-functionally across the organization and provides machine learning infrastructure and modeling applications to the business and partner analytics teams, with the tasks to pursue machine learning opportunities that generate revenue or user base improvements. The team is split geographically between the US and Sydney, supporting stakeholders across the regions. The team is highly nimble, with a focus on velocity between conceptualization and initial output, and on business impact.
On the first day, we'll expect you to have
Bachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)Industry or academic experience in the data science or machine learning domainExpertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Explain data science and machine learning concepts to diverse audiences and create a compelling storyAgile development mindset, appreciating the benefit of constant iteration and improvement
It's Great, But Not Required, If You Have
2+ years of professional experience with developing large-scale machine learning applicationsStrong knowledge of statistics, machine learning, and NLPExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience with end-to-end software development life-cycle
Senior Data Scientist Identity Data Practice at Epsilon

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 at Epsilon

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 at Backbone

"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
Data Scientist Advance Development at Instructure

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 at Reddit

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)
Principal Data Scientist Inference at Udemy

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
Senior Staff Data Scientist Inference at Udemy

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 at Udemy

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 at Figma

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