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

Numerade is seeking a Data Scientist to join our mission.  You will have the opportunity to  collaborate with partners across the company, and push the boundaries of leveraging data to improve student and educator success!
In this role, you’ll get to:

Solve complex business problems by leveraging our available data or by creating new datasets in collaboration with engineering teams
Generate actionable insights for the business using statistical and data visualization techniques
Collaborate with product/engineering teams to design and analyze experiments to optimize business metrics
Communicate results and impact to product and business stakeholders 
Turn models into data products, collaborate with engineering and business teams

You’ll bring:

PhD, MS, or 3+ years research experience in data science, computer science, information retrieval, statistics, or another quantitative/computational discipline 
Expertise with SQL and relational databases, especially in working with large and complex datasets
2+ years coding experience, Python required 
Experience with manipulating large structured or unstructured datasets for analysis 
Familiarity with A/B tests and experiment design
Experience working with datasets and data-related frameworks in a cloud environment such as AWS, GCP, or Azure
Experience with recommendation systems and personalization a plus 
Familiarity with modeling behavioral/user data a plus 
Experience using NLP methods a plus 
Experience building statistical inferential models a plus 
Experience with building data products, either internal or consumer-facing a plus
Have a passion for empirical research and for answering hard questions with data 
Have a proven record of solving challenging problems in academia and/or industry 
Eager to collaborate with both technical and non-technical colleagues in content, product management, marketing, and executive leadership groups  
Excellent analytical and problem-solving skills 
Strong oral and written communication skills 

Interview Process (video call):


Intro call - 30 min with Ivy, Head of People to discuss the role and your background


Technical call - 30 min with Jackie, VP of Engineering to understand your experience


Final group technical call - 60 min with Jackie, and Raj, Lead Data Scientist to learn more about your experience and skills set. 


Benefits and Perks:

Work from home, or wherever. We’re remote-first!
Competitive salary with a significant upside in equity
Health + dental + vision coverage offered for both employees and their dependents
401k plan
Flexible PTO, holiday, and leave policies, including paid parental leave for new parents - We want you to take time to relax, recharge, and reset!
Tons of opportunities for advancement!

The base salary range for this position is $95,000- $135,000 annually. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.
Director Of Data Science at Humana

Description
The Director, Data Science uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Director, Data Science requires an in-depth understanding of how organization capabilities interrelate across the function or segment.
Responsibilities
We are seeking a Director of Data Science to lead our data science product team in creating innovative clinical pharmacy and experiential products. This role will support multiple functions and VPs within the organization and will be accountable for achieving value targets, developing and executing on strategy, and identifying and prioritizing potential products to develop.
As part of a PBM with mail
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Senior Data Scientist at Humana

Description
The Senior Data Scientist uses open-source and proprietary programming languages, business analytic skills, and technology to transform high volumes of complex data and infrastructure into advanced solutions in support of healthcare research initiatives. The Senior Data Scientist’s work assignments involve issues of diverse scope and complexity ranging from moderate to substantial, where the analysis of situations or data requires an in-depth evaluation of variable factors.
Responsibilities
The Senior Data Scientist develops, maintains, and collects data sets for analysis and research. This individual also has the following responsibilities:
Supports the maintenance and quality management of monthly ETLs that refresh HHR’s limited and de-identified datasets. Conducts
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Senior Data Scientist Machine Learning Platform Motion Planning at Motional

Motional’s ML team is specialized in research as well as deployment of Machine Learning and Classical Methods. We implement, test and deploy deep neural networks, algorithms, and software to impact different parts of an autonomous vehicle (AV) software stack. In order to continuously improve the performance of all our models, we constructed an automated loop to monitor and mine for model’s failure cases, extend training datasets, adapt the models,  and automatically improve the models’ performance. And all of this is happening at log ingest! 
Read more about how our continuous learning framework works:

Continuous Learning Framework 
Scenario Mining  
Motional's Machine Learning team has produced ground breaking advancements in the autonomous vehicle industry including nuPlan (https://arxiv.org/abs/2106.11810), nuScenes (https://www.nuscenes.org), PointPillars (https://arxiv.org/abs/1812.05784), and PointPainting (http://arxiv.org/abs/1911.10150) 

What You'll Do:

Analyze data distributions to encountered problematic scenes for models focused on prediction, perception and planning 
Create models to automatically mine for model-specific problematic scenes 
Automate mining, re-training, and error analysis workflows.
Create dashboard and metrics to evaluate performance of ML models and its influence to the AV performance

What You'll Bring:

4+ years of software development and data analysis experience
Python development experience
Statistical data analysis experience 
Experience in handling large amount of data
Model training, and design experience
Experience with PyTorch or other deep learning frameworks
Passion about self-driving technology and its potential impact on the world

Bonus (not required):

Experience in C++ deployment
Experience designing, training, analyzing, and deploying neural networks for at least one of the following applications: Motion Planning, Motion prediction, Behavioral prediction, Perception.
Knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.  

______________________________________________________________________
(Colorado only*) Minimum salary of $172,020/year + bonus + equity + benefits *Note: Disclosure as required by sb19-085(8-5-20)
Company:
Senior Machine Learning Researcher For Copilot at Github

GitHub is looking for a research engineer in the area of machine learning to join GitHub Next.
We are a growing team of engineers and researchers. Having made our mark with high-impact success stories like GitHub Copilot, we want to keep leveraging the power of Machine Learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work. We continue to build on these foundations while at the same time exploring new projects in different areas including AI-enhanced static analysis, supply-chain security, innovative approaches to CI, and many more.
You will be working with other members of our team as well as colleagues from elsewhere in  GitHub and Microsoft on providing machine learning solutions to these challenges. Some of the projects at the Innovation Lab are a sustained effort to put an idea that has proven its worth into production and at the fingertips of the world’s developer community, whereas others are an experimental evaluation of a new idea where we iterate quickly to separate ideas that show promise from those that need some more time to mature. While we are not primarily a research outfit, our work does regularly yield novel results and insights along the way, which we publish at academic conferences where applicable.
Responsibilities:

Participate in our ongoing projects in the area of code intelligence.
Conceive, design, train and deploy machine learning models.
Extend and fine-tune deep learning architectures.
Help out in the day-to-day running of the Innovation Lab: organizing our webinar series, interviewing new candidates, and disseminating research results.

Minimum Qualifications:

Firm theoretical background in machine learning.
3 years+ hands-on machine learning experience.
Previous experience with deep learning, sequence models and NLP.
Inclination to prototype quickly and make fast decisions on experiment failure.

A creative mindset and good practical skills are more important to us than formal experience.
Preferred Qualifications:

PhD in computer science, mathematics, or a related field, or other evidence of the ability to do independent, innovative research.
Previous experience at working with large, distributed machine learning pipelines, e.g. using Microsoft Azure or k8s.
Experience training large language models for code generation.
Ability to communicate complex ideas clearly, both in spoken and written form, for expert as well as novice audiences.


Location: In this role, you can work remotely from the following countries: Austria, Denmark, Germany, Ireland, Netherlands, Spain, Sweden, Switzerland, United Kingdom or onsite in one of GitHub’s European offices (Amsterdam, Oxford).
Senior Data Scientist at Translucent

tl;dr You are curious, smart and great at what you do. You are looking for a remote role where you get the chance to work at a startup where you can fundamentally create & shape the product.  Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone The OpportunityTranslucent was only conceived in May but, due to the quality and track record of the team and the huge opportunity, it has already received investment from top tier angels and a leading institutional investor.Translucent is taking advantage of the latest data tools & techniques to build a next generation accounting system. As such the Data Science Team will be at the very heart of the company and the product.The opportunity is to be there at the very beginning of a large and successful company.The RoleThis role will be part of the founding Data Science Team. You will have the opportunity to set the architecture, the toolset, the schemas, etc.You will be part of a small Data Science Team (<5 to begin with) building the MVP of our product alongside our Dev team and our Data Engineering team.You will be working with financial and accounting data consisting of categorical, numerical, free text and geolocation fields.You will join a team doing rapid experimentation with modern machine learning algorithms and tech stacks while 1.) respecting the volatile nature of our main dependency: data, and 2.) writing data science code that can go into production.You will be building the first models that power the Translucent MVP while also designing the data science infrastructure with the dev and engineering teams upon which all other data science work will be built.You have years of experience working with the modern data science ecosystem and translating business needs into machine learning models and solution design. You have strong experience with the algorithms behind the tooling, and ideally have experience of putting data science code into a productive setting.Proficiency in Python is a must-have, while experience with MLOps and modern data management is a strong plus.You are smart and curious, and passionate about your work.You are looking to work in a team where excellence is recognised, people are treated well and there is a high product velocity. Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone Pension Contributions Healthcare
Data Scientist at Nielsen

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) (Canada)

Job Summary
Want to join a team where your talent, ideas and creativity would matter? Do you value autonomy, crave new knowledge, and appreciate working on impactful solutions? Then this position may be for you! We seek passionate, creative and innovative Data Scientist to join our team and help build leading edge technologies. With a balance of research, development, and cutting-edge technology, daily routine will never show its boring face.


Qualifications and Skills

Relevant degree in Computer Science, Machine learning, Physics, Mathematics.
At least 2 years of experience developing and implementing data science solutions.
Hands on experience working on machine learning and data analysis/mining.
A strong understanding of the principles of Statistics.
Good understanding of ML concepts, theories and algorithms.
Experience with using various statistics/ML libraries, e.g.  Scipy, Statsmodel, SciKit, Tensorflow, or similar.
Knowledge of Python and familiarity with Java are assets.
Hands-on experience with Jupyter Notebooks.
Database experience and knowledge of SQL.
Experience with analyzing large volumes of data is an asset.
Authorized to legally work in Canada



Nice to haves

Familiarity with distributed systems is a plus.
Familiarity with Spark or other Big Data technologies.
Familiarity with AWS, GCP, Node JS, and Python are assets.
Eager to learn and willing to take initiatives


#LI-GR1
Data Science Manager at Mission Lane

You’ll be a successful Data Science Manager on our Data Science Team if:

You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
You are more motivated by practical solutions than theoretical elegance
You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates

 
We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

 
You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification

 
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Analyst Speech Science at Walgreens

Job Summary:
Responsible for the performance of the overall quality speech analytics category design. Works cross-functionally with various groups internally and externally. Collaborates and synthesizes analyses for the implementation of scorecards. Responsible for extrapolating data, developing queries, ensuring standardization of external files, leading projects that relate directly to the speech analytic platform, and make recommendations for the betterment of the company. Works hand-in-hand with other analysts and specialists within the team to build and invent an outstanding product with a prime focus on accuracy, understandability and performance of the product.
Job Responsibilities:
Implement statistical language models, computational frameworks to process massive volumes of data, and engineer prototypes in a programming language (examples: Python, Java, R).Analytical and knowledgeable, recognize pertinent language patterns and conversational content that lead to business valueAnalyze recorded audio and audio-based data sets for critical insights.Captures combinations of keywords phrases within the system for optimal configurations performanceNatural Language Processing: Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications.Participate in design, development, evaluation, deployment and updating of data-driven models and analytical solutions for natural language applications.Responsible for determining opportunities through analysis of current or future trends and provide ongoing speech category designDetermine what call events (keywords and phrases) to train the software to recognize as structured data to support analytics and business goals, by using an inquisitive and intuitive approachWeekly/monthly reporting to management and business unitsFamiliarity with Voice User Interface (VUI) documentsUse a variety of testing methods to measure the impact of ongoing campaigns and new initiatives.Build positive relationships, cultivate decisions and communicate findings to executives and partners.
Director Of Machine Learning at Altana

We are looking for a talented Data Science & Machine Learning Leader to help build this vision. In this role you’ll report to the Chief Technical Officer and Chief Science Officer and help create the culture and environment by which we use cutting edge AI + ML to construct our network, deliver predictions to customers, analyze and predict network trust, identify classification and misclassification problems, and help our teams build, deliver, and customer the AI/ML experience for our customers.  This is a strategic role for our organization that enables us to accelerate our rapidly grow the value and unique insight we can deliver to customers.
Responsibilities

Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers responsible for the construction and enhancement of the Altana Atlas Knowledge Graph, and the delivery of our decision support products
Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team
Collaborate and build strong relationships with Product and Customer Solutions stakeholders to understand requirements and priorities
Manage the evaluation and professional development of your organization, including cultivating middle management
Establish and oversee a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis

About You

BS or MS degree in Data Science, Computer Science, or equivalent experience
You have 10+ years of real-world professional experience building products based on Data Science & ML
You have strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, and Classification techniques
You have experience managing managers, building teams of 20+, and delivering major organizational impact
You have a strong sense of shared ownership and a collaborative disposition
You have strong written and verbal communication skills

Nice to have, but not required

You've worked with supply chain data, company data, or have familiarity with B2B economic modeling
Experience with container technologies like Docker and Kubernetes
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, SQL
Tools: Git, Kubernetes, Databricks, PowerBI, Tableau, AWS, Azure
Datastores: Elasticsearch, Postgres, DataBricks, ArangoDB

Compensation: $150,000 - $350,000 (Negotiable and dependent on experience)
Staff Machine Learning Scientist at Thirty Madison

The Role:
We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for an early contributor Staff Machine Learning Scientist to own and execute on the ML vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, increase healthcare access for our patients, while keeping patients engaged in their care and improving their health outcomes!
What you’ll do:

Partner with senior leaders to define the organizational machine learning roadmap, and find opportunities to improve care and operations with ML-driven solutions
Own the planning, development, and impact assessment of ML initiatives and be hands on in building ML models using text, image, and structured data
Collaborate with product and operations teams to integrate ML models into clinical and operational workflows
Work closely with engineering and infrastructure teams to develop robust and scalable MLOps practices
Mentor, and provide technical guidance for an early ML team of scientists and engineers
Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces

You should have:

7+ years of applied ML experience in an e-commerce or healthcare setting
Strong communication and experience working with multi-functional engineering, product, and operations teams
Deep knowledge of the fundamentals of traditional machine learning and deep learning
Experience training, deploying and serving ML models in a cloud environment (AWS preferred)
Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras)
MS/PhD in computer science, statistics or another quantitative field preferred, but not required
Research Internship Ml Dl Fall at Dataminr

Type: Internship
Experience: PhD/Graduate Students
Who you are:
You’re a Ph.D. candidate 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, working in a highly collaborative environment 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 on a specific project to be completed during the internship.
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.

Minimum qualifications:

Must be enrolled in a Ph.D. program in Computer Science, Electrical Engineering or a related field.
Ideal candidates will have had prior internship experience.
Outstanding publication record in the candidate’s field of study (CIKM, WSDM, ICWSM, ICML, KDD, NeurIPS, RecSys, SIGIR,  WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled used of metrics.

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.
#LI-AG
#LI-Remote
Data Scientist Product Analytics at Ontra

For this job we are currently only hiring candidates based in the United States.
About the opportunity
Ontra is seeking a Data Scientist, Product Analytics reporting to our Senior Manager of Data on our Research and Development team.
The role is a great opportunity for someone looking to lead data science and analytics projects that support our growing Data Team’s efforts to enable data-driven decision-making across the Ontra organization. These include helping to build out our experimentation platform, leading small teams to develop analyses to improve product features, and improving our data infrastructure.
The Data Scientist will work with business and product stakeholders to identify areas where data insights can provide business value and will devise data projects that address those needs. When executing on these projects, the Data Scientist will be both hands-on and a technical lead: contributing and guiding other Data Analysts’ efforts to uncover valuable insights from our legal data sets that inform product development and business strategy. As you combine your data expertise with growing knowledge of Ontra’s products and business, you also will lead efforts to define and track metrics that drive business improvements. 
If you are ready to dive into data sets to inform product decisions, we’d love to get to know you!
What you’ll do


Provide analytics expertise: Build thorough understanding of Ontra’s datasets and develop metrics and insights using SQL and python/R that address product and business needs 


Democratize data insights: Perform statistical analyses and create informative data visualizations using Snowflake/Snowsight, Looker, and python/R libraries that deliver value to stakeholders across the organization


Inform strategy: Collaborate with product and business leaders to develop metrics and dashboards that support company objectives and key results (OKRs)


Serve as a subject-matter expert: Provide guidance both to stakeholders on how to use data in decision making


Be a technical mentor: Provide technical leadership to junior Data Analysts to help them deliver on projects and grow their skill sets


What you’ll bring


Expertise in exploratory data analysis: 5+ years experience manipulating data sets, navigating ambiguity, creating data visualizations and delivering insights that inform business decision making


Fluency in SQL: can construct complex joins, filters and aggregations to appropriately answer questions of the data and advise on how data can be stored to support analyses 


Intermediate scripting: Experience using a scripting language (python, R, etc.) to perform analytical work, building toward python expertise


Effective communication: Excellent communication and problem solving skills and ability to effectively collaborate with functional leadership across the organization


Detail-oriented mindset: A strong attention to detail and a well-reasoned sense of skepticism toward the results of analyses
Senior Ml Data Scientist at Rumble

What will you do:  
Rumble is seeking an experienced Senior ML Data Scientist  who will be responsible for setting requirements for data collection, preprocessing, analyzing large amounts of data, building models and/or building algorithms capable of learning and predicting future data points.
In this key role you will be responsible for:

Analyze large amounts of data to discover trends and patterns.
Identify valuable data sources and set requirements for implementation.
Undertake preprocessing of structured and unstructured data.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies to business challenges.
Collaborate with engineering and product development teams.
Training and retraining ML systems and models as needed.
Use predictive modeling to increase and optimize solutions as needed.
Other duties, as assigned.

Required Qualifications:

2+ years of experience of building machine learning models for business application
Algorithm and model development experience for large-scale applications
Significant experience using one or more of the following languages Python, Java, or C++
Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques.
Strong fundamentals in problem solving, algorithm design and complexity analysis.
Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Preferred Qualification:

Some experience contributing, working with, or maintaining open-source projects.
Experience working on and performing some administrative tasks on Linux.

Desired Qualification: 

Significant peer reviewed scientific contributions in premier journals and conferences are a plus.
Experience working with any or all of the following: SQL, Kafka and Redis
Understanding of network concepts
Working experience with video a plus
Data Scientist Product Analytics at Evernote

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.
 
What you will do

Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights
Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities 
Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement
Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes
Conduct analysis of feature usage and how we can improve the product 
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses
Design and implement predictive models to improve engagement, conversion, and retention

 
What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
4+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

 
Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

 
We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
 
California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy
Senior Data Scientist Safety Insights at Reddit

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
The Trust & Safety Org (T&S) is one of Reddit’s biggest divisions, and Safety Insights works across the entire org to provide qualitative (user research) and quantitative (data science) insights for product development, scaled abuse detection/mitigation, threat intelligence, safety operations, security, and privacy. We unravel hard problems that cut across T&S domains, and guide product development to protect our users from bad experiences. In the Safety Insights team, we value asking who’s missing, surfacing the deeper questions, up-leveling our peers, and facilitating good conversations. Our job is tough, but the impact is huge.  
As a Senior Data Scientist on the Safety Insights team, you will inform strategic direction, facilitate data-supported decision-making, and identify ways to measure impact over time. You will work alongside some of the best Data Scientists, User Researchers and Product teams in the world. You will gain domain expertise in both safety enforcement and product development, and be part of key decisions both within and outside of Trust & Safety.
What You’ll Do

Identify actionable and impactful insights through metrics and analyses
Partner with product teams to guide and assess our safety product development
Partner with safety enforcement teams to guide and assess our enforcement strategies
Be an end-to-end project owner from ideation to implementation and influence -- whatever that’s needed to create impact and carry out our mission

Who You Might Be:

4+ years of data science and product analytics industry experience
2+ years of experience informing and influencing product or business decision-making
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., Python, R)
Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences.
Ability to tackle ambiguous and undefined problems
Intern Ai Research Operations Research at Invitae

Location: Remote U.S.A.
What is the Invitern Program?
The Invitern Program offers opportunities for students, recent grads, or those who are early in their career to develop industry skills through Invitae’s internship roles.
With each opportunity, we aim to create an experience for our interns (Inviterns!) that is enhanced by mentorship, networking opportunities, and impactful work. Throughout the duration of this program, we hope to offer a sense of community with our Inviterns and build lasting relationships. Our hope is that Inviterns become future Invitaens!
The 2022 Summer Invitern Program is a paid internship and will start June 6th, 2022 and commence August 12, 2022.
Summary Timeline
Late October 2021 - Invitern role open for applications
December 2021 - Inviterns selected
June 2022 - Inviterns start
August 2022 - Invitern Program ends
Intern - AI Research - Operations Research
Summer 2022 - AI Team - Operations Research Group
As a world-class leader in genetic diagnostics applications and research, Invitae Research is seeking candidates for internships in operations research and machine learning.
Interns will work with computer scientists and software engineers to build systems that leverage techniques such as Bayesian nets, constraint satisfaction, planning, and machine learning to solve real world problems encountered in the production lab and other areas of Invitae’s business.
Strong candidates will have several of

familiarity or expertise with graphical models / Bayesian networks
familiarity or expertise with AI planning, constraint satisfaction, and discrete optimization
familiarity or expertise with python, and willingness to learn new technologies
willingness to work on both theoretical and practical aspects of a project
strong mathematical ability, including expertise in statistics, probability, and discrete optimization

The internship will 

take place remotely over 10-12 weeks in Summer 2022
provide competitive compensation for industrial computer science research internships
be supported and supervised by the AI Operations Research Group
offer opportunities for publication in an appropriate academic conference and/or journal

At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
#LI-Remote
Data Scientist Nlp at Evisort

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry. 

The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.



What You’ll Do: 

Build end-to-end machine learning models from the ground up, from data exploration through feature generation and model construction and deployment.
Dive deep into structured and unstructured data to extract insights, build dashboards, and create training data for machine learning models.
Contribute to advancing NLP and its applications in the legal space, to create highly innovative products and customer experiences.
Own the end-to-end lifecycle of your models and see them deliver business impact.



Skills/Qualifications:

2+ years of machine learning experience in the industry
2+ years of hands-on experience mining unstructured text data
Knowledge of deep learning architectures (e.g., RNNs, CNNs, Transformers) and a strong grasp of applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python (Pandas, Sklearn, Regex) and familiarity with deep learning frameworks (e.g., Tensorflow, PyTorch)
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving business impact.


Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Data Scientist Risk Modeling at The Public Health Company

We are seeking an exceptional Data Scientist to help us build the company.
ROLE DESCRIPTION
In this role, you will be working as a key member of the Data Science team focused on building risk models based on infectious disease forecasts, human behavior, and government policies to help businesses and governments better manage and respond to disease outbreaks. The world now understands the importance of rigorous risk modeling in the public and private sectors, and you will be part of the early team at PHC building the future of the field. Modern data streams (genomic, mobility, search, social, etc) and modern computational techniques allow us to design, fit, and test risk models that are both more accurate and more flexible than classical approaches. In this role, you will:

Work closely with the Engineering and Product teams to build scalable mathematical modeling products that will help various entities (private and public sectors) to quantify risk based on disease outbreaks in order to tackle future epidemics/pandemics.
Provide recommendations to PHC’s customers about the best course of action based on the risk models and custom input from customers about their risk tolerance
Perform statistical analyses of model performance, robustness, and impact.
Present interpretation of results to both internal and external stakeholders who may have varying levels of technical expertise.
Provide technical and scientific guidance to PHC 
Help in mentoring junior colleagues.
Write appropriate documentation and tests to ensure model code reproducibility and reusability.
Work with all levels within the company including executive leadership to bring high-performing, actionable, and trustworthy models to end users

REQUIREMENTS


Graduate degree in an analytical field such as biostatistics, statistics, mathematics, machine learning, computer science or another related field.

Experience creating, implementing, and applying risk models in at least one setting (health, insurance, cybersecurity, etc.), preferably in industry.
Deep understanding of statistical modeling approaches.
Experience using R or Python, Github, and the command line.
Strong communication skills with an emphasis on the ability to explain scientific and statistical concepts clearly.

NICE TO HAVE

Experience working with an external stakeholder on a risk and recommendations modeling project
Experience working with large datasets with a requirement to combine disparate datasets such as mobility data, electronic health records, social media data, census data, disease data, etc.
Experience with infectious disease modeling (ODEs, compartmental models, agent-based models, machine learning)
Experience with cloud computing platforms, workflow managers, and data visualization

PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.
COMPENSATION AND BENEFITS
Compensation and benefits are competitive and include generous stock options.
Data Science Intern Summer at Reddit

Reddit's University Program is ready for our next cohort of interns, and we need Data Science Interns to join our crew! Are you a beginner Data Scientist with a dream of both building models and browsing r/catsstandingup at work? You're in the right place! Reddit is in search of Data Science interns to join our Intern Program (and we guarantee you'll get to do some of both!).
Responsibilities:
Work on projects that impact the business. You'll gain exposure to how a real data science team works, from developing experiments to creating business cases.
Be mentored by experienced Data Scientists from all backgrounds. From bootcamps to universities, small to medium and large companies, you'll work with data scientists of many different experiences and levels. You'll have a formal mentor on your team guiding you throughout the summer as well!
Contribute to the betterment of Reddit, whether that be through making it easier to create content on Reddit, serving up relevant content to users, fighting evil on the site, improving our mobile apps, or a number of other projects we have in the works.
Come to work at our San Francisco or New York office, complete with catered lunch, free snacks, a rooftop terrace, and easy access to downtown SF or NYC. (Subject to change based on safety guidelines created due to the global health pandemic)
Continue making Reddit history as a part of our next intern class. Be a part of a new community, earn piles of sweet Reddit swag and get to know the city during sponsored outings over the course of the summer.
Required Qualifications:

Actively working towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Mathematics, Statistics, Physics, or related fields
Graduating between Fall 2022 and Summer 2023
Exposure to SQL programming language
Curious or driven by data analysis (strong analytical skills)

A desire to work at Reddit HQ in San Francisco or New York City over Summer 2022 (Subject to change based on safety guidelines created due to the global pandemic)

You’re over the age of 18 and authorized to work in the United States

Preferred Qualifications:

Working towards an advanced degree (Master’s or PhD)
Strong SQL and Python knowledge
Experience working at a small start up or mid-sized company

Join Reddit; help build the front page of the internet.
 #LI-Remote
Data Science Intern at Blueconduit

As data scientists at BlueConduit, we use machine learning models, working with geospatial data from a variety of data sources, to predict health hazards in infrastructure. Our founding team members were first to build models to predict whether water pipes were made of lead in Flint. And we’ve expanded that to serve cities throughout North America, on both a for-profit and charitable basis. We are passionate about using data science for social good and improving equity.
BlueConduit is seeking a motivated undergraduate, graduate, or PhD student who will:

Work up to 10 hours per week for the Winter/Spring 2022 semester


Assist with R&D to identify how to continue to scale the impact of BlueConduit’s predictive methods


Integrate client data into internal software tools, generating predicted probabilities of likelihood of lead in pipes at any address


Collect and catalogue relevant data from the web


Participate and present in the BlueConduit Data Seminars (with internal, industry, and academic speakers)


Be curious to learn and understands the human side of data science


Be passionate about data science for social good and environmental justice

We are a small, remote, and growing team, so this is an excellent opportunity to grow into and shape your role at our company. The role provides opportunities for mentorship, growth and for stepping into leadership positions.
Necessary Qualifications:

Relevant coursework and or projects in data science/statistics, machine learning (including validation and evaluation of model performance), public health, epidemiology,  geospatial information systems (GIS), or urban planning.


Experience with data analysis in Python, especially Pandas, Scikit-learn, and Numpy


Ability to present results clearly to non-technical audiences


Excellent verbal and written communication skills


Passion for environmental justice and community well being, as the company continues to partner with communities, as it did in Flint, around the country.