nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist at Dick S Sporting Goods

The core data science team at Dick’s Sporting Goods is seeking a data scientist to support product teams within the technology organization.  Currently the team has a variety of work ranging from natural language processing to supply chain optimization, and is looking to continue to expand its footprint by bringing on another diverse teammate.
Machine Learning Applications & Analyses
Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data.
 Build and put into deployment algorithmic solutions that focus on improving the customer’s experience and driving value both in-store and on our website.
Compile data from disparate data sources leveraging both qualitative and quantitative data to build models.
Communicate complex analyses and models to all levels of leadership across the organization.
Client Liaison
Work with a variety of business units throughout the organization to help translate their requirements into specific model or research based deliverables.
Continue to improve communication and collaboration patterns amongst the various analytics teams and business units.
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations
Lead Staff Data Scientist at Shopify

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation. 
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
Lead Nlp Data Scientist at Humana

Description
The Lead NLP Data Scientist leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.
Responsibilities
The Lead NLP Data Scientist:
Collaborates with analytic and data teams to set objectives, approaches, and work plans.
Researches and evaluates new analytical methodologies, approaches, and solutions.
Develops and validates statistical forecasting models and tools.
Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers.
Advises executives to develop functional strategies (often segment specific) on matters of significance.
Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision.
Uses independent judgment requiring analysis of variable factors and determining the best course of action.
Required Qualifications
Bachelor's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
8 or more years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights
Experience developing natural language processing (NLP) models with the transformer architecture
Experience developing and validating statistical forecasting models and tools
Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
Clear oral and written communication skills
Flexible, dynamic personality who works well in a team environment and is also able to lead individual contributors
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
Master's degree or Ph.D. in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
Healthcare or managed care experience
2 or more years of project leadership experience
Demonstrated experience with Python, Huggingface, Tensorflow, Pytorch, Spark or similar statistical tools
Experience performing data management, mining, and manipulation along with analytics
Additional Information
Humana and its subsidiaries require vaccinated associates who work outside of their home to submit proof of vaccination, including COVID-19 boosters. Associates who remain unvaccinated must either undergo weekly negative COVID testing OR wear a mask at all times while in a Humana facility or while working in the field.
#LI-Remote
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
Data Scientist Causality at Metaculus

Metaculus is one of the largest forecasting platforms and communities today with over 950,000 forecasts on over 6,000 questions. We’re best known for our focus on science and technology forecasting that benefits the public. Our mission is to build epistemic infrastructure that enables the global community to model, understand, predict, and navigate the world’s most important and complex challenges.As a Data Scientist focused on Causality, you'll make key contributions to an important next step in the evolution of our platform: enabling forecasting-based decision making. You'll also work with our rich, extensive dataset to grow our causal understanding of key variables – forecast accuracy and question popularity, for example – and to enable data-driven internal decision making, ensuring the long-term health and growth of the platform.You'll work with a team of talented engineers and researchers who are deeply engaged with and passionate about our mission, in an impact-focused culture that values learning, growth, and autonomy. A deep theoretical understanding of causality, especially causal inference A proven track record of applying ideas from causality to drive decision making in practice A solid understanding of data science, and experience applying it in industry Metaculus's mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
Quantitative Research Analyst Ai Forecasting at Metaculus

The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Quantitative Research Analyst in AI Forecasting, you’ll use quantitative modeling to improve our ability to anticipate the future of AI and its impact on the world, enhance our AI-related decision making capabilities, and enable quantitative evaluation of ideas about the dynamics governing AI progress.Using your deep and broad knowledge of AI concepts, algorithms, and research trends, your understanding of causality and causal inference, and your strong mathematical, statistical, and computational skills, you’ll work to fortify the team’s outputs with a rigorous quantitative element. You’ll build causal models and simulations to facilitate decision making in crucial areas such as AI alignment strategy, will contribute to a suite of world model components that will be used across multiple AI-relevant analyses, and will build a detailed, interactive, public-facing model estimating many key facets of the trajectory of transformative AI. You’ll also use our unique AI dataset to identify trends, and to evaluate claims about AI progress.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Strong scientific programming skills, ideally in Python or Julia Solid background in mathematics and statistics Good understanding of causality theory, and experience applying causal inference in practice Familiarity with AI concepts and algorithms, and with the latest trends in ML research Practical experience with ML/data science techniques Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
Research Analyst Ai Forecasting at Metaculus

The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Research Analyst in AI Forecasting, you’ll engage deeply with ideas about the future of AI and its potential impacts, and share insights with the AI research and forecasting communities and with key decision makers. You’ll use crowd forecasting to help generate these insights, writing forecasting questions that are informative and revealing, facilitating forecasting tournaments, and coordinating with Pro Forecasters. You’ll engage in deep qualitative analysis of potential AI trajectories and resulting impacts in key areas, reviewing relevant research literature, speaking with experts, and thinking critically and independently to arrive at your own ideas and perspectives. You’ll liaise with quantitative researchers, and integrate quantitative outputs – including forecasts – with your qualitative research, providing holistic, multifaceted analyses of some of the most important questions facing humanity today.You’ll communicate insights distilled from your own research, outputs from the rest of the AI Forecasting team, and opinions from SME’s and the forecasting community, via written reports. Some of these will be visible to the public, with the aim of generating engagement and excitement from the AI research, forecasting, and policy communities, while others will be confidential, feeding directly into crucial decisions made by influential organizations.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Familiarity with AI concepts and algorithms, and with the latest trends in ML research Excellent written and verbal communication skills Demonstrated ability to understand highly technical content across multiple domains Experience with writing reports on technical subjects for technical and non-technical audiences Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
Senior Data Scientist at Bungie

Bungie is looking for an experienced Data Scientist to help shape measurement and optimization of marketing campaigns. As part of the Bungie Analytics & Insights team you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and machine learning to provide marketers, business leaders, and project leads with actionable insights to make the best marketing campaigns possible. Most importantly, you will work at a fun and energetic company that is devoted to making world-class games.
RESPONSIBILITIES
Develop relationships with members of the publishing and marketing teams to understand their analytics and data science needs
Designing experiments to clearly measure lift with control groups, as well as conducting inferential analysis to estimate uplift (casual analysis) from historical efforts
Perform ad-hoc analyses that inform marketing decisions being made by the team
Transform raw data and build efficient pipelines to create and support customer facing dashboards and reporting resources
Communicate the results of your analyses to technical and non-technical colleagues
Translate hypotheses about marketing campaign behavior into models to improve campaigns
Develop models for predicting and segmenting audience response
Various other data related tasks necessary to support the team
REQUIRED SKILLS
Proven experience as a Data Scientist, Technical Analyst, or similar role
Advanced SQL skills
Intermediate Python or R skills
Experience analyzing large media data sets (e.g. Attribution, Campaign Tests, etc.)
Experience applying ML models and statistical analysis
Foundational knowledge of statistics and test measurement
Understanding of digital media fundamentals
Ability to create clear data visualizations for a variety of stakeholders
Ability to effectively communicate technical insights to a non-technical audience
Understanding of data science use cases and data engineering concepts (e.g., modeling, pipelines, warehousing)
Knowledge of database marketing fundamentals (e.g. segmentation)
NICE-TO-HAVE SKILLS
Experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Experience with Tableau or similar data visualization tool
Experience with Web Analytics tools (e.g. Google Analytics)
Experience with data warehousing and data engineering
Interest in Gaming and foundational knowledge of Games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
Senior Data Scientist Machine Learning at Bungie

Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team.  Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support initiatives across our organization.  As an early hire for this group, you will have the ability to influence the future trajectory of the team and projects therein.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers.  You will leverage your expertise in data analysis and engineering to build services that feed game personalization, optimize storefront commercialization, and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop and deploy machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
Advanced proficiency in Python and SQL
Advanced knowledge of machine learning frameworks such as scikit-learn
Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
Senior Marketing Data Scientist Lifecycle at Peloton

ABOUT THE ROLE
The CRM & Governance team at Peloton is responsible for analytics, segmentation, testing, and predictive modeling to accelerate and optimize Connected Fitness membership growth across all owned marketing channels.
The Senior Data Scientist will partner with our Lifecycle Marketing team to engage our leads and members in impactful and meaningful ways, and play a critical part in advancing our capabilities to personalize lifecycle communication and ultimately drive incremental sales and subscribers across our Connected Fitness portfolio. The ideal candidate combines best-in-class analytical/modeling skills and an outstanding eye for business to own the application of customer models, experimental design, and best-in-class measurement tools across our marketing teams.
YOUR DAILY IMPACT AT PELOTON

Deploy advanced data models that will improve our segmentation, personalization, and targeting capabilities to drive incremental performance in our lifecycle channels
Build up customer segmentation capabilities in CRM channels to personalize customer communication journeys across lifecycle channels
Lead experimental design for A/B and multivariate tests in lifecycle channels to optimize engagement and conversion
Partner with Lifecycle Marketing on measurement of channel reporting and incremental performance to understand and optimize email campaigns
Perform deep-dive analyses and communicate channel findings and useful insights across business partners
Design and maintain CRM data infrastructure with the Analytics Engineering team by translating business requirements from partners to data models that will enable reporting, dashboards, and segmentation through our CDP to appropriate CRM channels

YOU BRING TO PELOTON

5+ years of analytics experience, with a strong grasp of measurement, modeling, and testing techniques. Extensive knowledge in CRM,  Lifecycle marketing functions, e-commerce, and lifecycle channel measurement critical metrics preferred.
Expertise in SQL and working with structured and unstructured data-sets, as well as data visualization technologies such as Looker or Tableau
Working knowledge of a scripting language (e.g. Python, R) and experience operationalizing sophisticated data models (regression, segmentation, clustering, and other predictive or machine learning models) from exploration, modeling, testing to performance evaluation
Experience designing and analyzing A/B testing and lifecycle marketing experiments
Expertise in data transformation, ETL, and data pipelining
Excellent communication skills presenting to and influencing cross-functional leaders, especially through distilling technical matters into clear and concise explanations
Operational experience with CRM tools such as Customer Data Platforms (CDP) and email service providers (ESP) is a plus

#LI-SV2 
#LI-Remote
Senior Data Scientist Product Analytics at Lattice

About the Role 
As a Senior Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities

Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users 
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack 

Qualifications

3-5 years of experience working in Data Science or Analytics 
Ability to distill ambiguous, open-ended questions into workable problems 
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries 
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 

Nice to Haves

Experience working in data at a B2B SaaS company
Knowledge of DBT
Data Scientist Product Analytics at Lattice

About the Role 
As a Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities

Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users 
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack 

Qualifications

2-4 years of experience working in Data Science or Analytics 
Ability to distill ambiguous, open-ended questions into workable problems 
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries 
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 

Nice to Haves

Experience working in data at a B2B SaaS company
Knowledge of DBT
Sr Battery Data Scientist at Rivian

Responsibilities


Build machine learning models to provide valuable estimations and predictions to the product and the user. Interface closely with the battery experts (modeling/electrochemical/mechanical/thermal/software) and engineers to define features & metrics from the domain knowledge. 

Work with vehicle telemetry data at scale to provide insight on the battery health, performance, and powertrain efficiency of Rivian products 
Work with battery scientists to improve state of health estimation for batteries based on field data models.
Develop statistical and machine learning models for predicting and forecasting field failures, cell chemistry variations, battery health degradation and how various driving behaviors affect battery performance for safety and drivability.
Build scalable full stack infrastructure and data pipelines to aggregate telemetry and service data in order to monitor and predict failures in the field. 
Research and development of multivariate models for prognostics applications, predictive maintenance, and battery state of health estimation, battery health coaching.
Run cloud-based data models to assist improving battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
Work with embedded systems engineers to bring cloud-based data models to run on embedded systems.

Qualifications

Must have 3 or more years of industry experience in a data science or software engineering role or Masters/PhD. Level of role depends on experience and qualifications.
Ideally 3-5 years' experience in battery domain, focusing on hardware and engineering
Minimum:

Experience working with data in Apache Spark, Python and SQL
Strong fundamentals in software engineering with Python 
Understanding of statistical and machine learning concepts 
Data visualization and communication best practices 


Ideal:

Experience with cloud infrastructure such as AWS with Terraform/Docker 
Programming in multiple languages, such as Golang/Scala/C/C++ 
Experience with battery prognostics and health management 
Working knowledge of mathematical or advanced machine learning concepts 
Experience with reinforcement learning
Senior Data Scientist at Evolve

Why this role   
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions to the most challenging prediction problems within the vacation rental industry using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do

Implement algorithmic solutions to prediction problems that exceed existing baselines and provide a meaningful impact for our homeowners and guests
Employ retrospective statistical methods to enhance domain understanding
Partner deeply with cross-functional leaders to gain domain knowledge, challenge existing assumptions, and develop data product roadmaps
Effectively communicate complex and ambiguous information to technical and non-technical stakeholders 
Leverage internal and 3rd party experimentation capabilities to measure the impact of new solutions 
Consider model explainability as a key factor in maintaining trust and understanding across stakeholders and provide meaningful insights where possible 
Accelerate continual improvement on the data science team by sharing learnings and providing feedback on other challenging projects around the company
Innovate on existing strategies by researching and applying techniques from other leading data science teams outside of Evolve

What makes you a great fit

5+ years of data science related work 
Strong programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Proven track record of business impact from models you took from prototype to production 
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
Bachelor’s degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred

Location







Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania. 







Compensation
For this role our salary range is $136,000 to $156,000 depending on relevant experience.  This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1
Data Scientist at Evolve

Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do

Build, deploy and monitor machine learning models and algorithms that have a sustained business impact 
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices 
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences 

What makes you a great fit

5+ years of experience in data analytics and 2+ years of data science work 
Related technical bachelors, masters, or doctoral degree preferred 
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities 
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders

Location 
Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania. 
Compensation
For this role our salary range is $105,000 to $120,000 depending on relevant experience.  This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1
Machine Learning Scientist at Numbrs 050C8740 5Ff3 4808 9D52 164C158B26B3

Numbrs develops and provides an industry-leading, highly secure storage solution for digital currencies and aims to develop global wealth preservation for the 21st century. By constantly challenging the status quo we are able to exceed our clients’ expectations while maintaining a unique company culture.
Numbrs is a Swiss company controlled by Swiss shareholders, adhering to the Swiss standards of privacy, neutrality and stability. We are looking for world-class talents with the desire and ability to build and share expertise in the frontier technologies of crypto and blockchain.
The Role
We are seeking an experienced, dedicated, and well-organized Machine Learning Scientist to join our remote engineering team. This position will require someone who is adaptable in a changing environment and who is passionate about delivering high quality results in a fast-paced environment.
You will be a part of the Data Science team responsible for designing, developing and supporting big data-driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.The team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.
About you
You find large challenges exciting and enjoy discovering problems as much as solving them.You can thrive in a fast-paced environment where attention to detail, excellent communication skills, and a talent for delivering out-of-the-box ideas are essentialYou deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works every time.Resourceful, flexible and adaptable; no task is too big or too small.
Key Qualifications
University degree in Physics, Mathematics, Statistics, or related disciplineA minimum of 5 years of professional experience in AIProficiency in data mining, mathematics, and statistical analysisAdvanced pattern recognition and predictive modeling experienceStrong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLPKnowledge of Big Data technologies such as Kafka, Spark, and CassandraFluent in a programming languageComfort working in a dynamic, research-oriented team with several ongoing concurrent projectsExcellent troubleshooting and creative problem-solving abilitiesExcellent written and oral communication in English and interpersonal skills
What we offer
An opportunity to work on the most exciting challenges in the crypto industryCollaboration with some of the smartest and the most talented experts in technologyGrowth potential. We rapidly advance team members who have an outsized impactFully remote company, at which every person is free to live and work wherever they want
Senior Machine Learning Scientist at Stockx

About the role
Our Search Team, comprising of Applied Scientists and Software Engineers, specializes in Machine Learning. We work together to build custom machine-learning models that can drive product vision and customer impact. We are looking for individuals who are product driven, and are passionate about making ML innovations in areas such as Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller search experience!
Example Projects:

Develop powerful embeddings to collect salient signals of our customers, product, and user interactions.
Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for ranking and optimization.
Build the first personalized search ranking and real-time in-session personalization.
Implement and compare supervised learning models (i.e, LR, GBDT, and DNNs) or ensembles of models, to improve metrics, often with multiple contending objectives (i.e, relevance, degree of personalization, average value of orders, repeated frequencies/purchases).
Develop models with custom architecture or objective functions that target StockX-specific problems, such as personalized search, revenue optimization, seller fairness, seasonality, etc.
Develop brand-new learning frameworks for query suggestions to understand buyer experience.

What you'll do

Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience.
Conduct A/B experiments to validate ML models and pipelines.
Work closely with product managers, ML scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.

About you

Experience with object-oriented or functional software development
Experience working with AWS or other cloud providers
Experience with big data platforms like Spark
Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
You have dealt with data exploration, analysis, and feature engineering
You have relentlessly high standards for the products you deliver
Work effectively in an agile development process

Bonus points:

You have a Ph.D. degree in Computer Science or related engineering fields, or 5+ years of practical machine learning experience.
You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or  you have given talks/tutorials in the industrial conferences like Spark Summit. 
You have experience using AWS Cloud Platform.
You have experience in building production search, recommendations, advertising, or general e-commerce systems.
Sr Data Scientist Partnership Analytics at Aura

About The Role
We are looking for a Data Superstar who possesses a passion for data, metrics, and uncovering actionable insights. As a Product Data Analyst, you’ll partner with our Product, Engineering, Marketing, Design teams and other Data Analysts to help AURA build a magical consumer product solution that brings together privacy, security, and identity protection capabilities. You will be focused on behavior and feature engagement analytics to help product owners and stakeholders improve the customer experience. Our ideal candidate loves digging into the metrics and details, and is proficient in bringing to life insights through clear storytelling.
Responsibilities

Create and maintain product health metrics and dashboards
Investigate data issues and escalate them to the relevant group when needed
Provide tracking requirements for mobile, desktop and web applications
Develop compelling dashboards to measure the impact of new product features or business initiatives
Perform an ad-hoc analysis while working closely with Product Owners helping them to understand the data and make decisions
Interact with multiple teams to better understand structure, meaning and source of data
Provide quarterly analysis on key product features usage and trends, to identify insights and areas of improvement for product

Qualifications

BA/BS degree, 5+ years of experience as a data analyst
Proficient with SQL, comfortable working with large datasets and multiple data sources 
Ability to write SQL for both ad-hoc analyses and scheduled ETL
Experienced with Tableau visualization and storytelling
A team player and self-starter with great interpersonal skills and a solution-oriented attitude
Great at distilling data into actionable insights and recommendations
Manipulate, transform, and analyze complex, high-volume, high-dimensional data
Experience and passion for developing the right metrics and dashboards/visualizations
Ability to work cross-functionally with stakeholders from across the business

#LI-REMOTE
Senior Data Scientist at Splunk

About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are hiring Data Scientists and Engineers who are passionate about solving practical business questions with data-driven analytics.
Role:
As a Data Scientist/Engineer, you will execute quantitative assessments and analytics that provide context and data-driven evidence to answer business questions. This will encompass identifying and parsing data, conducting exploratory analysis, identifying and visualizing trends, building and validating models, and translating quantitative assessments into actionable insights.
Responsibilities:
Develop and execute analysis plansIdentify and build systematic data pipelinesDevelop and maintain methods to retrieve, condition, validate, synthesize, and manipulate dataConduct exploratory analysisIdentify and visualizing trendsBuild and validate modelsIterate, document, and communicate throughout problem lifecycle 
Requirements:
Passion for solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete productsMS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience5+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.)Strong software engineering skills in an interpreted languageExperience manipulating and interpreting large and diverse datasetsStrong understanding of statistical methods and software packagesExcellent communication and collaboration skills
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.