nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist Marketing at Mythical Games

We are looking for a highly-skilled Data Scientist with experience performing statistical analysis, predictive analytics, and attribution modeling among others. This role is specifically more focused on supporting the growth marketing team. The role will be involved in things like helping identify important user subgroups, informing ad spend, email targeting, and A/B testing.
RESPONSIBILITIES:

Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
Predictive analytics 

REQUIREMENTS:

Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models:lifetime value modeling, causal inference, attribution modeling, outlier detection
The ability to ELI5
Drive to learn and improve

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
Data Scientist at Mythical Games

We are looking for a highly-skilled Data Scientist with a strong background in statistics and programming. In this role, you will be responsible for creating and maintaining a variety of models – the job is never boring! This role is not assigned to any single project, but will be able to work on a variety of problems.
RESPONSIBILITIES:

Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
ML visualizations
Predictive analytics 

ZREQUIREMENTS:

Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models: outlier detection, lifetime value modeling, or causal inference 
The ability to ELI5
Drive to learn and improve

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
Senior Data Scientist at Handshake

Your Impact
At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineers. This is a high-impact position where you will not only influence product strategy and decisions affecting millions of students and young alumni but also build the very products that democratize opportunity by enabling those users to find great jobs. We know that connecting students with jobs and employers can be so much more than string matching buzzwords in resumes and job descriptions. If you want to make a mark on both our organization and the job search experience for millions of students while growing as a data science leader, then this role is for you.
Your Role


Develop the algorithms and data pipelines that connect users across the Handshake marketplace, from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.


Find the signal in the noise and turn massive datasets into rich, relevance-enabling feature sets. Employ Natural Language Processing and feature engineering techniques to turn relatively unstructured data sources like job descriptions into “matchable” hiring criteria.


Provide technical leadership to a growing team of curious and highly motivated data scientists.


Be a tactful and effective partner to product managers; help design and analyze experiments and proactive analyses that drive key product decisions and unlock invaluable insights.


Be an ambassador for data-driven product development at Handshake. Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely.


Your Experience:


Experience building, implementing, and iterating on data and/or machine learning powered products and/or conducting relevant academic research on large data sets.


Knowledge of machine learning practices with a focus on topics such as search and relevance, recommender systems, natural language processing, and/or Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn)


Experience working directly with cross-functional teams such as leadership, product management, engineering, and design


Experience using modern analytics tools such as Python, R, Spark, BigQuery, Snowflake, etc.


Ability to start, own and drive projects to completion with minimal guidance


Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to any audience (e.g. presenting findings and deep-dives to senior leadership)


Bonus Areas of Expertise: 


Experience working on small, scrappy, and growing data science teams


Knowledge of Google Cloud technologies and Airflow


Mentorship of both data scientists and would-be data science partners


Developing and deploying production-quality machine learning pipelines and models


Compensation Range:
$166,725 - $230,270
Senior Data Scientist at Relativity

Location: Remote United States
Department: Engineering
Work Status: Full-time
Overview
Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?
Relativity's scale and scope create tremendous variety for rich data exploration and insights; our market position and scaled products mean our latest and greatest models and insights can quickly be in the hands of our users. If you're looking for a data rich environment that is already using AI, with at-scale challenge and a ton of new ideas and experimentation ahead, you will find yourself at home on the AI data science team within Relativity. The team is growing fast; you'll have a huge impact in shaping the culture, best practices, and vision of how machine learning and AI are used at Relativity. You'll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis. We are looking for collaborative builders who want to move fast and love a challenge.
Your Role in Action
Develop machine-learning models and algorithms to be released as new product features.Work with engineers to develop production-level code and contribute to the entire deployment lifecycle.Help develop internal standards, processes and tooling for a new data science team.Work with Product to assemble datasets for evaluation and model building..
Your Skills
A Master's Degree in information retrieval, natural language processing, or a related discipline, AND 2 years of relevant industry experience OR a Ph.D. in information retrieval, natural language processing, or a related discipline OR the equivalent of 5 years of relevant academic/industry experience.Experience building and deploying natural language processing modelsProficient in programming and scripting in a language such as Python.Comfortable with command-line tools in UNIX environments.Use inclusive language whenever possible, communicate data science concepts to colleagues of all backgrounds, use technical vocabulary judiciously and with intention
Apply Now
About Relativity
Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.
Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Equity program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Senior Email Marketing Data Scientist at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong this could be a great fit!
In this role, you'll get to:
Establish measurement methodologies to understand the value of email as a channel that contributes to acquisition, onboarding, cross sell and retention. Build business cases for investing additional resources into the email program. Use experimentation methodologies, control groups etc. to measure the impact of email campaigns and suggest improvements to marketers.Collaborate with our audience targeting and segmentation team to ensure customers are receiving consistent and meaningful messages. Work with our Marketing Engineering and Data Engineering teams to improve the tools and data sets we have for the email channel. Build & enhance reporting for marketers to monitor the performance of the email channel.
On your first day, we'll expect you to have:
5-7 years of experience in analytics1-2 years of experience in email marketing Advanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and prioritiesExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Proficiency in at least one marketing automation tool such as Market, Eloqua, Exact Target, etc.A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsDeep knowledge of statistics and probabilityAn advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science
Senior Marketing Data Scientist Buyer Experience at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
In this role, you'll get to:
Use data to make sense of complex buyer journeys. Analyze how customers navigate our marketing websites and identify opportunities for improvement. Report on KPIs for www.atlassian.com. Research and explain trends and their impact on the success of the overall business.Apply advanced statistical techniques and causal inference methods to design and analyze web experimentations (i.e. A/B testing, quasi-experimentation, statistical tests, Bayesian experimentation, etc.). Contribute to experimentation best practices and standards across marketing. Ensure a high standard for web tracking and data collection/quality.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of business decisions.
On your first day, we'll expect you to have:
5-7 years of experience in analytics2-3 years of experience in e-commerce, web analytics, buyer journeysDeep understanding of statistical techniques for experimentationAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working with international teamsAn understanding of Enterprise SAAS metrics and measurement techniques (MQLs, SQLs, Lead Scoring)Experience with scripting and analysis languages (Python, R)Experience with GitAn advanced degree in a quantitative discipline such as statistics, economics, mathematics, or computer science#LI-EW1
Data Scientist Enterprise Marketing at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and sales organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
We're looking for an analyst with outstanding technical and leadership skills to provide insights on our enterprise-focused go to market efforts across marketing and sales.
In this role you'll get to:
Create analytical insights from our customer and marketing data to drive more effective go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work cross functionally with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a high performing team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of business decisions.
On the first day, we'll expect you to have:
2-4 years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentExperience in B2B marketing or sales analytics and experience working with a field sales teamAbility to balance priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Willingness to learn and adapt to new technologies and methods as needed
It's great, but not required, if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsExperience with statistics and probability in a business setting
Senior Data Scientist Customer Analytics at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust team to ensure our cloud is ready for our large enterprise customers. This includes enhanced security, reliability and scale, compliance with FedRAMP and HIPPA, building features that are cited as cloud blockers for these enterprises, and building tolling for migration of data. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
Data Scientist Analytics at Deliverr

Our Mission:
In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.
Our Team:
Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.

What you'll do:

Discover and communicate patterns in your business domain (e.g., trucking economics, shipping performance) using your quantitative analysis and data communication skills.
Influence metrics by identifying impacting levers, making recommendations to other teams, and measuring impact.
Empower stakeholders to understand patterns in your domain by defining core metrics and designing / building / maintaining self-serve analytics (i.e., business intelligence tools).
Inform Deliverr’s decisions around your domain by providing insights via sound analysis.

 
What we’re looking for:

Knowledge

Quantitative degree (e.g., math, physics, economics). 0-2 years of experience in a related role.


Skills

Proficiency in SQL fundamentals.


Abilities

Precise and concise communication. Ability to build effective reporting (e.g., reports, dashboards). Urgency for action -- over rigor when necessary. Ability to organize, prioritize, and adapt in a rapid-growth startup.



 
Bonus points for:

Programming ability (e.g., Python, R).
Experience with dbt.
Experience working in a logistics and/or ecommerce org.
Senior Research Scientist Algorithms Engineering at Netflix

This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). 
Want to research and develop improvements to the core algorithms such as recommendations and search that power the Netflix experience that over 193+ million members worldwide see each time they log in? Our Algorithms Engineering team is looking for passionate and talented applied machine learning experts to lead the way by researching and developing the next generation of algorithms used to drive the Netflix experience. This spans central areas of our product including how we approach recommendation systems (e.g. ranking, page generation),  personalization (e.g. evidence, search, messaging, marketing), media assets generation and optimizing Netflix-wide systems & infrastructure.
In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
If you are ready to make a difference at a company that matters, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.
For more details about what we are working on, readthese blog posts.
To learn more about our research work, you can visit our research pagehere.
What we are looking for:
5+ years of research experience with a track record of delivering quality resultsExpertise in machine learning spanning supervised and unsupervised learning methodsExperience in successfully applying machine learning to real-world problemsStrong mathematical skills with knowledge of statistical methodsStrong software development experience in languages such as Scala, Java, Python, C++ or C#Great interpersonal skillsPhD or MS in Computer Science, Statistics, or related field
Preferred, but not required, additional areas of experience:
Experience in Recommendation Systems, Personalization, Search, Computational Advertising, Natural Language Processing or Computer VisionExperience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applicationsExperience in optimization algorithms and numerical computationExperience with Spark, TensorFlow, Keras, and PyTorchExperience with cloud computing platforms and large web-scale distributed systemsOpen source contributions
Data Scientist at Focuskpi

FocusKPI is seeking Data Scientists to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S.
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems 
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
Fraud Data Scientist at Id Me

Role Overview
We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me’s fraud strategy.  If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you.
Responsibilities

Partner with fraud leadership and fraud investigators to develop our fraud strategy
Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates
Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network
Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams
Recommend and build automated rules and models to support the detection and prevention of fraudulent activity
Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO)
Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes
Build strong relationships with key partners and the leadership

 
Qualifications

2+ years of hands-on experience in fraud strategy or a high-tech mature startup
2+ years of experience in fraud analytics or related 
Experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras
MS (PHD Preferred) in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related)
Experience building & deploying ML products on GCP and/or AWS
Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc. 
Experience with Time Series Prediction models & one or more deep learning libraries
Experience in developing, managing, and manipulating large, complex datasets
Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
Ability to work independently and autonomously, as well as part of a team
Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

Note that candidates must be located in the continental U.S.
Data Science Trainee at Rackspace

·         To develop analytical models for insight generation that improves business decision making.


·         Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.


·         Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.


·         Will contribute to data science team discussions, providing insight on current approaches and methods,


·         Follows established MLOps practices in software development.


·         Data science model selection and implementation.


·         Working independently while collaborating well within the team.


·         Have worked autonomously and delivered results on schedule.





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




About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Data Scientist Machine Learning And Algorithms Risk Management at Binance

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.
Sr Operations Research Data Scientist at Rei

REI’s Enterprise Data Science team is seeking a Senior Operations Researcher with deep experience using Data Science and Optimization approaches to solve complicated optimization problems across the organization such as Demand Forecasting, Transportation/Last-Mile, Network Design, Simulation and Revenue Management to name just a few.
This role will analyze REI’s multi-channel supply chain end-to-end, identifying the biggest opportunities developing plans for system-wide optimization of cost, throughput, and customer experience to the benefit of our members and society.  This is a unique opportunity to have a major impact on REI’s bottom line and continued success helping people get outside while improving our environmental and social mission!
Responsibilities: 
Provide strategic thought leadership for the subject of supply chain optimization. Significant influence into strategy and cross-team impacts Engage broadly with the business and operational leaders to frame, structure, and prioritize optimization across our multi-channel retail supply chain Perform large-scale statistical research, analysis, Data Science, and modeling across various phases of the Supply Chain -- from Forecasting and allocation through last-mile delivery Design and deliver optimization algorithms and science-driven data products, working with colleagues to develop and deploy software as is feasible and solves critical business problems Work within a close-knit team of Supply Chain Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group Build sophisticated simulations that will enable business leaders to make trade-off decisions given the constraints
Data Scientist Ii at Vimeo

Vimeo is looking for a Data Scientist to join the Video Insights team.
Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. Video Insights team delivers services and products that help Vimeo users make effective videos, by applying Artificial intelligence (AI) technologies connecting between video content and it’s online performance .
It is a great opportunity to join a core founding team and take part in shaping the AI movement within Vimeo. 
What you’ll do:

Work closely with Researchers, Data Analysts and Product to build tools that provide insights on how content of videos is correlated against relevant video performance metrics.
Analyze diverse datasets and implement statistical and machine learning models to extract actionable insights on user and content behavior as well drivers of key business and product metrics
Be part of a cross-functional team, providing the best practices in data science for the team and across the organization.
Partner with relevant teams to deploy outcomes, as well as monitor KPIs and model performance in production.

Skills and knowledge you should possess:

3+ years of experience as a Data Scientist, with a M.Sc/B.Sc in a relevant quantitative discipline.
Experience with Hypothesis testing, A/B testing, Bayesian inference, time series modeling, linear and non-linear regression, clustering and classification, as well as statistical and machine learning methods.
Ability to understand and work with weakly defined problems, refine definitions and come up with actionable solutions.
Fluent in Python especially with the standard third-party libraries (numpy, scipy, sklearn, statsmodels, pandas, matplotlib, etc.), SQL, large scale systems.
Experience in working with large data sets.
Good communication skills and ability to work in a cross-functional team.

Bonus Points:

Experience with Deep Learning Frameworks such as TensorFlow, Pytorch.
Implementation Data Scientist at Altana

The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to:

Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
Oversee the specification and development of new or expanded solutions
Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each 
Work closely with Solutions Managers to integrate feedback from internal and external customers.
Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)

This position can be worked remotely, but you should be comfortable working on New York time.
About You

3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
1-2 years technical experience in analytics, data science, software engineering or a similar technology related field
Exposure to trade compliance, supply chain management or a field similarly related to international commerce
Experience with machine learning
Record of ownership and delivery of projects with major organizational impact

Strong written and verbal communication skills


Nice to have, but not required

Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure
Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, Spark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB
Sr Data Scientist at Disney

Job Summary:
We are looking for an Engineering Insights Senior Data Scientist to drive key analytics and engineering initiatives that improve Disney Streaming’s engineering ecosystem. The Engineering Insights team is responsible for identifying and building solutions for data insights that improve the reliability, performance, and user experience across Disney+, ESPN+, and Hulu.
This is an opportunity to join a team to improve the user’s experience through analyzing Disney Streaming’s entire ecosystem, identifying areas of improvement, and building custom solutions to proactively increase issue identification and triage. The analysis and insights you create will help drive engineering initiatives and priorities.
To be successful in this role, you need to be a strong data scientist; always striving to solve complex problems at scale. A strong background in distributed services and client architecture is preferred. Whether you’re in New York, California, Seattle, or remote, we provide opportunities to elevate your career and to transform an industry.
Responsibilities:
Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologiesTranslate complex problems and solutions to all levels of the organizationDrive innovation of the statistical and machine learning methodologies and tools used by the teamPartner with cross-functional teams in identifying, defining, supporting, and improving reliability and performance
Basic Qualifications:
5+ years of experience in advanced analyticsExpert level knowledge of machine learning. Ability to define the direction for a project and select appropriate methods and tools. Up to date knowledge of recent advancementsExperience implementing scalable, distributed, and highly available systemsProficient in Python. Java or Scala is a plusExperience in data processing using SQL and PySparkHighly skilled in statistics concepts (e.g., hypothesis testing, A/B testing, regression analysis, clustering, anomaly detection)Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.Strong analytical skills and innate curiosity to troubleshoot and dive deep into complex technical issuesExperience using data and analytical skills to derive key performance insights in a complex ecosystem Experience of identifying key value drivers in a direct-to-consumer application
Preferred Qualifications:
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent2+ years of experience in streaming industry, knowledge of client and server-side architecture a plus 3+ years of Python, Spark, Pyspark or Scala
Head Of Data at Co Star

Co–Star’s writing resonates so deeply that people compare Co-Star to a best friend, a therapist, and a mom. This content is powered by structured data, synthetic generation, and personalization. We're looking for a Head of Data to lead the data science team at Co–Star. You’ll help tens of millions of people connect to each other and themselves – through astrology – in real, meaningful ways. You will report to the VP of Engineering. 
WHAT YOU’LL DO

Support, develop, and build out our data science team, currently two people
Evaluate our current data science processes and create a strategy around improvements and scalability, iterate on processes and structure to optimize the data organization
Work closely with Product to develop a roadmap that blocks out longer term strategy around content systems, shipping incrementally with as much measurable user value as possible. 
In partnership with in-house recruiting, hire and grow Co–Star’s data science organization, working closely with the rest of the team to execute your hiring goals
Work with cross-functional leadership to set strategy and quarterly company-wide OKRs, tricking that down to data science OKRs 
Work closely with the team to troubleshoot issues with data structures, cross-functional opinions about data 
Drive accuracy of AI/ML products and educate others on AI/ML products and capabilities.

Transform ML papers (Fan, Reiter) & experimental ML tools (e.g. GPT-3) into products & metaphors we can use to drive development


WHAT YOU'LL BRING

5+ years leading data scientists, data analysts, or other members of data organizations 
Precise and thoughtful communication and management style
Excitement and success around hiring, developing, and retaining your team, keeping DE&I at the forefront of every hire 
A mindset that process is around to serve us and is something that can and should be iterated on
Expert-level understanding of core principles & modern tooling in data science, including machine learning (eg SK Learn, Pytorch, Tensorflow), data and text analytics, clustering, pattern recognition and extraction, automated classification and categorization, deep learning, and NLP
Experience with data pipelines for storage and accessing (AWS Athena, GCP BigQuery) and processing (Athena, EMR, Dataflow, Dataproc)
Deep familiarity with data science workflows, including experimentation and evaluation  
A love of figuring out “hacky” ways of accomplishing things, but the awareness to know when the cheap way is no longer adequate
A clear communicator, both verbally and in writing
Secret love for beautiful writing

OUR STACK

Python wrapper intakes NASA data about where the planets are to find the patterns in the night sky from the perspective of earth 
Haskell backend transforms data, gives writers superpowers, and delivers resonant, personalized content
BigQuery stores TB of data to create insight for internal teams
Native Swift & Android apps create an incredible mobile experience that feels made-for-your-fingers  
AWS infrastructure scales to serve millions of people
What an NLP professor called a “virtuosic” use of Google Sheets