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

What You’ll Do:

Engage with Product Managers and key stakeholders across different departments to identify, measure and track KPIs
Identify, define and translate business requirements into analytical questions; present results and recommendations effectively
Design and execute experiments to enable data-driven decisions on product development, marketing and partnership initiatives
Collaborate with business stakeholders on designing and analyzing user surveys to inform product roadmap

What You’ll Bring:

3-5 years’ experience ideally in a fast-paced startup environment
Very comfortable with data analytics, SQL and data visualization
Experience designing experiments and conducting statistical analysis
Excited to collaborate cross-functionally
Is comfortable working remotely
Enjoys working in a highly-collaborative and supportive team
Passionate about health and wellness!
Authorized to work in the U.S.
Bonus: Background in Behavioral Sciences

Our Interview Process: 
Our goal is to provide you with an exceptional candidate experience that is engaging and informative. We are transparent about our interview process for your consideration. We look forward to meeting you!

Initial Video Call
Hiring Manager Interview
Take Home Exercise
Panel Interview
Final Interview with CEO
Data Scientist at Pricelabs

About PriceLabs:
PriceLabs was founded in 2014 by IIT / Kellogg Alumni and has been growing rapidly over the past couple of years. We serve thousands of customers in 100+ countries and our team is distributed between 8 countries.
We are a market-leading revenue management tool for the vacation and short-term rental industry. We are an SMB/Mid-market focused product with mostly self-serve and some sales-assisted motion.Our customer base grew 10x since 2019 and in 2022:
Our team grew 3xWe raised $30 million in funding from Summit PartnersWe joined hands with Rental Scale-Up to deliver in-depth market insights and actionable news to hosts & property managersWe continue to grow exponentially backed by a strong team to take us to the next level.
Why join PriceLabs?
Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)Work with a global team (8 countries and counting) of passionate individuals that accepts open communication, empowerment, and a shared focus on customer success.We are a freemium product, so marketing leads the charge on customer acquisition.We are a remote-first organisation and accept work from home as the norm.Unlimited PTO | Free Insurance | Remote Work | WFH Setup Allowance  | Flexible Working Hours | Annual Bonus Scheme | Org-wide Workation
About the Role:
Design, develop and enhance our pricing algorithms to enable new capabilities.Process, analyse, model, and visualise findings from our market-level supply and demand data.Build and enhance internal and customer-facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.Take ownership of product ideas and design discussions.Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.
About You:
Bachelors, Masters or Ph. D. in Operations Research, Industrial Engineering, Statistics, Computer Science or other quantitative/engineering fields.You have a minimum of two (2) years of relevant experience.Strong understanding of analysis of algorithms, data structures and statistics.Solid programming experience. Including being able to quickly prototype an idea and test it out.Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.Experience with relational databases and strong knowledge of SQL.Experience building data-heavy analytical models in the travel industry.Experience in the vacation rental industry.Experience developing dynamic pricing models.Prior experience working in a fast-paced environment.Willingness to wear many hats.
PriceLabs is an equal opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate on the basis of race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.
Intern Data Science Summer at The Hershey Company

Location: Hershey. PA/Remote
Duration: Summer 2023
WHY INFORMATION SERVICES AT HERSHEY? 
The Information Services department at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey business. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.
OPPORTUNITIES: 
We are looking for a Data Science Intern who will work with the Enterprise Data Science to build strong analytic capabilities.  Applicants must have some exposure to at least two of the following: machine learning, statistical modeling, feature engineering, optimization, exploratory data analysis, data mining and pattern recognition.
RESPONSIBILITIES:
Use machine learning, and advanced statistical techniques to create scalable solutions to business problems
Collaborate with the Enterprise Data Science team to define and quantify business problems, and help them implement appropriate algorithmic solutions
Proactively identify capabilities which should be improved
Partner with Information Services and business stakeholders to drive conversion
QUALIFICATIONS:
Students currently enrolled in graduate programs (Master’s or PhD) with a strong STEM focus (e. Computer Science, Engineering, Economics, Mathematics, Statistics, Psychology -)
Experience with machine learning and big data analytics tools (e.g., Scikit-learn, Keras, TensorFlow, Pandas, NumPy, PySpark), or experience with Operations Research (e.g., linear programming, integer programming, mixed integer programming)
Hands on experience with key programming languages such as Python and other IDE tools like Jupiter Notebook.
Passion for analytical problem solving
Quick learner through formal and self-guided education
Pro-active self-starter with a desire to make an impact
Ability to work in teams or individually
Excellent written and verbal communication skills for coordinating across teams
Exposure to analytical solutions in the cloud (e.g., Azure, AWS, or GCP) a plus
Manager Data Science Platform at Figma

We’re looking for an experienced leader to join our data science org who is excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager for our Platform teams, you’ll work closely with your team, engineering leaders, and the broader data science team to build internal and external facing data products as well as deliver strategic insights that will help Figma continue to scale. The ideal candidate will have deep technical expertise, experience leading a breadth of technical contributors including ML data scientists and data engineers, and know a thing or two about building data products from the ground up.
 

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

 
What you'll do at Figma:


Manage, support, and grow a diverse team of data scientists and data engineers embedded in our foundation teams including product performance, infrastructure, and internal tooling


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

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

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


4+ years of experience managing high-output data science and engineering teams working on internal tooling and ML

Firm knowledge of machine learning and experimentation techniques and tooling

A passion and unwavering commitment to leveraging data to guide product development

A desire to build an inclusive and diverse culture

Experience scaling teams in high-growth environments


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

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

 









#LI-LB1
Application Data Scientist Public Sector at Symphonyai

The Role:
SymphonyAI Public Sector is building the leading enterprise AI SaaS solutions to transform the public sector, delivering insights and predictive analytics for large data sets, helping to reduce costs, control waste, and provide efficiencies. As an application data scientist on the public sector team you will be working with some of the largest/most advanced and innovative federal agencies and will develop solutions for complex problems working with advanced machine learning at scale. 
Responsibilities:

Directly interact with Public Sector customers to understand business problems and data
Develop models and algorithms to solve complex problems
Become proficient user and advocate of SymphonyAI’s AI/ML platform and products
Serve as a technical expert, assisting leadership during project evaluations, pilots, and delivery
Make research and development contributions to our core product offerings
Interact and collaborate with software engineers, data scientist, and product managers to define new capabilities and solutions
Mentor and coach data scientists as we grow the team

Requirements: 

US Citizenship
MS or Ph.D. in Computer Science, Engineering, Statistics, or similar fields of study 
2+ years hands on experience delivering machine learning applications to enterprise clients with demonstrable results
Solid understanding of existing statistical and machine learning techniques 
Ability to drive projects, working independently or as part of a larger team
Excellent communication and presentation skills
Expert Python programing skills

Preferred:

Experience with deep learning, natural language processing, or reinforcement learning
Knowledge of advanced topics including Graph Deep Learning and Topological Data Analysis

Who We Are
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. SymphonyAI businesses have many leading enterprises as clients in each of these industries. Since its founding in 2017, SymphonyAI has grown to 2,000 talented leaders, data scientists, and other professionals. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from successful entrepreneur and philanthropist Dr. Romesh Wadhwani.
Data Scientist at Huge Inc

This role is open to remote within the posted state.
Data Scientist
Huge is looking for a Data Scientist to join our team!
Job description.
As a Data Scientist you will be a key contributor to scaling our data science capability, working with data science team members to extend & leverage machine learning solutions.  On a regular basis, you will collaborate across disciplinary user experience teams at Huge and serve as a guide to answer questions, offer insights, and bring structure to data so that it serves to inform decisions that will impact clients’ business.
What you’ll be doing.
Most importantly, as a Data Scientist, you will continuously be asked to set a positive example and champion the data science capability.  In order to succeed in this role, you will need to be hands-on, comfortable starting from zero and quickly ramping up when faced with specific business challenges, feel comfortable presenting data science capabilities that can easily be understood and leveraged across disciplinary teams at Huge and by clients. Collaboration with internal and external teams is fundamental to ensure the delivery of specific client solutions. You will also be hands-on building solutions in Python, establishing data models for machine learning, and looking for opportunities to continue to push the envelope.
What we’d like to see.
A minimum of 2 years of experience in a relevant industry that uses data science capabilities. 
An undergraduate degree in Science, Technology, Engineering, or Math.
Proficient in Python and associated data science packages.
R Programming
Experience working on client engagements and across distributed team's end-to-end, from development to implementation of data science solutions.
Ability to take disparate sources of data (structured & unstructured) and develop methods that produce models and algorithms that handle tasks, parameters, or optimizations to generate an evaluation output.
Proven ability to deliver solutions such as regression analysis for prediction, classification for sentiment analysis, clustering and retrieval of content, matrix factorization & dimensionality reduction for recommendations, and utilization of deep learning.
Knowledge of either the GCP or AWS CLI
About Huge.
Huge is a global experience agency made up of creatives, designers, technologists, strategists, and data scientists. We help companies elevate the human experience by creating unified brand experiences that people love. We work with clients such as Google, McDonald’s, FCA, Brooks Running, P&G, and others, who are as committed to shaping culture and defining the future as we are. Headquartered in Brooklyn, we currently have more than 1,200 employees working across 13 offices in North America, Latin America, Europe, and Asia.
Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.
#LI-POST #LI-Remote
Associate Data Scientist at Kin

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry by building our product suite from the ground up. As our Associate Data Scientist, you will partner cross-functionally with the Business Intelligence and Data Engineering teams to build scalable analytical products that drive business value. These products could range from predictive models to pipelines to ingest, clean, and analyze data from multiple sources. We want someone who is not only passionate about Data Science, but is also interested in the context around the problem and implementing the solution that is best for the business.
A day in the life could include: 

Building predictive models and perform analysis to optimize Kin’s customer experience and marketing in order to continue profitable growth 
Build pipelines to ingest data and create features to be used in models and analysis 
Act as a strategic advisor to our business partners; offering not only support in analytics and models but insights that are backed by both data and business expertise 
Work cross functionally with Data Engineering, Business Intelligence and Analytics Engineer to provide full product solutions 
Assist with the design and architecture of our ML Ops infrastructure
Assist with data vendor analysis and integration
Use analytics tools (SQL, Looker etc.) to monitor the performance of existing models in production

I’ve got the skills… but do I have the necessary ones?

Bachelor’s degree in Machine Learning, Statistics, Mathematics, Computer Science, or a related field
1-2+ years of experience in Data Science, Business Analytics, Data Engineering, or Analytics Engineering
Must have a mathematics or statistics background
Experience in programming in Python and SQL in a professional setting
Excellent interpersonal skills 
Insurance experience is highly preferred  
Interest or experience in highly regulated and/or startup environment(s)
Passion for data-driven storytelling

Oh, and don’t worry, we’ve got you covered! 

Medical, Dental and Vision Insurance
Flexible PTO policy 
Very generous equity options and 401K
Parental Leave
Continuing education and professional development 
Disability and Life Insurance 
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
Data Scientist Intern at Figma

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As an intern on our team, you will have an opportunity to apply your skills on technical challenges that will have a real impact on our business and product. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences. 
*Summer, 2023
What you’ll do at Figma:

Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Build models to understand user behavior and predict growth


Some projects you could work on:

Evaluation of different online experimentation methodologies and how they may improve velocity and accuracy of A/B tests at Figma 
Investigating user behaviors and running experiments to drive improvements on a brand new product offering
Recommend opportunities for growth and optimization of our core product through researching KPIs and/or areas of the business funnel



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

A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Proficiency with basic SQL 
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
Research experience in the natural sciences, social sciences, or behavioral sciences
Experience working with creative tools
A self-starting approach along with strong communication and collaboration skills



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



Read more about our team

Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
Data Scientist Early Career at Figma

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences. 
What you’ll do at Figma:

Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Communicate and document data logging and requirements
Build models to understand user behavior and predict growth
Provide thoughtful feedback to others on the team


In your first few months, you'll:

Work with an onboarding buddy to make your first edits to our data tables and dashboards
Start to build deep context and expertise in Figma's data and product
Deliver your first product analysis



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

A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
A self-starting approach along with strong communication and collaboration skills



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



Read more about our team

Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
Product Data Scientist Enterprise Trust at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian is tasked to lead insights about our customers throughout their lifecycle with Atlassian. The team is responsible from defining and maintaining a customer health score, build models to predict potential churn, support business and product growth for Enterprise customers, and work to help customers get more value from our product suite, guide insights on the multi-year effort to transition server customers to Cloud. This team partner with other analytics teams. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.
We're looking for someone who is excited about building a data foundation with analytical rigor and best practices to make us best of class.
What you'll do
You will deliver analyses leading to product and business strategy insights, with a focus on our larger, most important Enterprise customersYou will develop trusted relationships with product executives and change the way your partners approach problems, and influence product roadmapsYou will work with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customersWhether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle
Your background
2+ years experience in analytics, statistics, or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)Ability to transform raw data and analysis into well-written contentExperience translating insights into actions that have a direct business impactExperience instrumenting data and supporting products and features through their lifecycleExperience building ETL pipelines using any tools or scripting languages
Data Scientist Product Analytics at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Millions of people use Trello every day, generating billions of data points. We are looking for a knowledgeable data scientist to examine user behavior and advise decision-making across the organization.
You will reporting to the Trello Product Analytics team. We're a group of 10 data scientists who love to share insights with others. We are lean and remote-friendly and looking for someone with business instincts, creativity and analytics mastery, who is passionate about applying these skills to guide smarter product decisions and delight our customers.
You will ...
Work with other product leaders to identify high impact opportunities for analytics, and align analytics and data science priorities with the product strategyPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to intelligently improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including creating and analyzing experiments and product launchesEnvision, scope, and complete projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to multiple levels of leadership to guide important decisionsFoster an extraordinary analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisionsUnblock data questions using Redshift, Athena, Databricks, Python, R, Mode Analytics, Tableau.
About you ...
2+ years of experience working in product analytics or data scienceYou have experience analyzing data and experimentation in a business setting. You know how to pick the right approach to a data question. You know that sometimes the simplest solution is the best.You enjoy collaborating with non-technical consumers of data, and turning loosely-defined questions into prioritized projects.Experience deriving insights from data and telling a story.You're extremely proficient when it comes to writing SQL and Python/R.You aim to master new technology or language when the need arises.Experience working on projects around user acquisition, retention, purchasing drivers.
Principal Data Scientist Confluence Enterprise Experience at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Product Analytics at Atlassian is an exciting and fast-growing space. At our core, we create value for both our customers and the business by understanding how and why our users use our products. We love to explore and have a lot of fun along the way.
We're hiring a Principal Data Scientist, reporting to the Principal Manager or Product Data Science.
What you'll do
You will manage a multi-area within Enterprise platform analytics, with the possibility of having direct reports in the futureYou will dig deep into both performance and API data and usage data to connect the dots together quickly and communicate insights in a way that persuades actionYou will have the opportunity to shape the product roadmapBuild relationships with strategy business operations to bridge the gap between the team's work to business metrics.You will look at product users to determine how engaged they are with the productPartner with product managers, design and engineers to measure product performance
Your background
5+ years of experience in an engineering/product performance/platform analytics environment.Understanding of front-end engineering practiceExpertise in SQL and experience in Splunk/SignalFxExperience with usage data creation process and experience partnering with engineering teams for data trackingTurn complex findings into a compelling narrative and a set of actionsExperience influencing decision-making using analyticsBackground in Engineering or quantitative subject (e.g. Mathematics, statistics, etc)
Machine Learning Scientist at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist who is interested in improving the way that teams collaborate on Trello. You will be one of the pioneering ML experts in this area, and will shape the future of machine learning in Trello for years to come. You will work with product managers, designers, and other data scientists in Trello and the larger Atlassian company.
Your future team
The Core Machine Learning team at Atlassian is a centralized group of machine learning scientists and engineers. We partner with teams across Marketing, Growth, and Product to pursue machine learning applications that create revenue or product enhancements. We practice a remote-friendly work style, and we have team members located across multiple cities in both the US and Australia.
What you'll do
Translate product and customer requirements into a feature roadmapExplore ML applications and ideas for content recommendation, personalization, and insight generationBuild ML pipelines, models, and jobs at scaleShare vision and roadmap with partners in product, design, engineering, and data science
Your background
We'll expect you to haveBachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)2 or more years of industry or academic experience in the data science or machine learning domainExpertise in Python, SQL, or Spark and a working knowledge of version control tools (e.g. Git, Bitbucket)Explain data science and machine learning concepts to diverse audiences and create a compelling storyFamiliarity with deploying and monitoring machine learning modelsA curiosity to master new product domainsIt's Great, But Not Required, If You HavePrevious experience in a product-focused ML roleExperience with the following (Airflow, Databricks, Sagemaker, and Tensorflow / PyTorch)
Analyst Product Research Analyst I Data Science at Liberty Mutual

Job Summary:
The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The Individual Contributor role will report to the Safeco Auto Design manager, but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team.
Responsibilities: 
Build complex loss cost models for Safeco Auto products to drive pricing and non-pricing sophistication
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level.
Please Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Job Specifications:
Reference:  2022-49662
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA; 
Schedule: Full-Time
Salary: USD-$69,400.00-–-$126,200.00-/-Year
Education Level: 
 Travel: As Needed
Data Scientist at Bright Health

SCOPE OF ROLE 
Data Scientists at Bright work with teams across the organization to design and build data-driven solutions.  Bright Data Scientists will use advanced analytics to enhance Bright’s health intelligence platform: improving member health, increasing affordability, and making care simpler and more personal.  Examples of DS initiatives include:

Building predictive models for early identification and population stratification
Optimizing targeting for clinical programs
Developing metrics for measuring healthcare quality, outcomes, and network performance

Though individual contributors, Data Scientists must have strong leadership capabilities and experience working in a matrixed environment, with the ability to drive successful development of analytics that support multiple needs throughout a complex and growing organization.
ROLE RESPONSIBILITIES

Build, maintain, monitor, and improve machine learning (ML) models to solve business problems
Collaborate with technology teams (e.g. Data Engineering) to deploy solutions into production environments
Operate in an evolving data environment with a mixture of stable/traditional and new/nontraditional data sources
Work with business stakeholders and members of Product team to identify and evaluate data science opportunities and develop project plans

MINIMUM QUALIFICATIONS

Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, etc.)
Four (4)+ years of progressive data analytics experience
Highly proficient transforming data with SQL
Highly proficient building machine learning models with Python (numpy, pandas, scikit-learn)
Highly proficient using descriptive and inferential statistics to analyze datasets
Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

Experience building models with deep learning libraries (Tensorflow, Pytorch)
Experience transforming large datasets with Spark (PySpark, Scala)
Experience with business intelligence tools (e.g. PowerBI)
Experience working with healthcare data, specifically medical and pharmacy claims
Senior Data Scientist at Devoted Health

A bit about us: 

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. 

Why Devoted: 
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve. 


If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.


COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
Senior Manager Data Science at Clickup

Our mission is to build a work platform that saves people time by making the world more productive. Check out our customer stories on how we have enabled thousands of customers to save one day every week! 
ClickUp is looking for an exceptional data science leader to own data science exploration and model building at ClickUp. You are an experienced technical leader in leveraging data science and machine learning to create operational efficiencies and drive ROI for a high growth technology company. You thrive when leading a team that collaborates as a community and is distributed across the globe. You are comfortable scaling people, technical capabilities, and processes of a team.
The Role

Lead a team of machine learning engineers, data scientists, and data program managers to deliver operational ML models for marketing, sales, support, product, and engineering stakeholders
Lead the design and implementation of Machine Learning solutions for ClickUp’s operational and product challenges.
Manage the insights and growth experimentation product analytics team to uncover product insights and growth levers for product managers
Build Machine Learning models from millions of accounts stored in a Snowflake data warehouse, validate these models, and present findings to key stakeholders.
Deploy and operationalize models into a production data pipeline and operational systems
Participate in the full ML development cycle: design/experiment, develop, validate, deploy, and analyze.
Lead the prioritization and ROI analysis strategy for model and data science projects across multiple departmental stakeholders

Qualifications

5+ years hands-on experience with machine learning and data science techniques (supervised & unsupervised learning, hypotheses testing, tree-based models, clustering, feature engineering, etc.) and architectures/methodologies (Jupyter notebooks, SageMaker, AWS/GCP, Kubeflow, MLflow, Python, R, etc.)
2+ years experience as a leader managing multiple teams
Experience with scaling of a data organization by hiring and retaining exceptional talent
Leaders who have seen scale with Product Led Growth companies is a plus!
You are passionate about data, are comfortable generating hypotheses and insights from it, and clearly explaining those insights to executive leaders
Experience coordinating a production model through the entire lifecycle of scoping, data exploration, development, training, validation, deployment, retraining.
1+ year experience with operational business model development (examples include conversion/churn prediction, lead scoring, marketing attribution, forecasting, time series modeling, customer lifetime value, customer health scoring, etc.)
You are knowledgeable with SQL and data warehouse architecture
Machine Learning Researcher at Dashlane

Are you a researcher in Machine Learning looking for opportunities to see your research go to production? Does your vision of the internet include users having control of their identities and data?
Join Dashlane as a Machine Learning Engineer and take part in a mission to create the fastest and most accurate autofill in the industry!
About the role:
Dashlane is looking for a Machine Learning Engineer,PhD, to join our Core Analysis team. You will be working on state-of-the-art research on web understanding, relying on large labelled and unlabelled datasets of web pages.  As a member of the Core Analysis Team, you’ll help pioneer a brand new, cutting-edge web analysis that will make life easier for millions of people worldwide.
The Core Analysis team provides an analysis of the webpages to other parts of Dashlane, unlocking major functionalities like the autofill of credentials, and the automagic change of password. The team is composed of Software Engineers, Machine Learning engineers and a Data Collection Engineer, to ensure the quality of our analysis. Our analysis engine leverages various Machine Learning techniques such as logistic regression, hierarchical classification and state-of-the-art Natural Language Processing neural network architecture. The team also advocates for public specifications for field autofill, like Semantically Annotated Web Forms.
Location:
At Dashlane, you'll be able to opt to work from the Paris office or remotely. If you choose to work remotely, we are flexible on your location, as long as you are in France.
About our stack:

Languages: Python, Typescript
ML: Scikit-learn, TensorFlow
Monitoring: Tableau
Versioning: Gitlab
Misc: Gitlab CI, JIRA, Confluence

At Dashlane you will:

Work on R&D initiatives around web pages understanding and their applications to a password manager and identity provider
Help maintain and improve our existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension)
Work with ML Engineers, Software Engineers, product managers, designers in a highly collaborative environment where everyone shares ownership of the company's success
Learn every day, and share your knowledge with your coworkers

Requirements:

Doctoral degree on Information Retrieval or Natural Language Processing
2+ years of experience in handling large amounts of data
2+ years of experience working with Python, Scikit-learn and deep learning frameworks (Tensorflow, Keras, ..)

Nice-to-have:

Experience with Machine Learning cloud platforms (Azure, AWS, GCP)
Interest in JavaScript, Web technologies and embedding Machine Learning within web applications
Interest in data privacy and online security
Data Scientist Marketing Online at The Home Depot

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
COVID PRECAUTIONS

Health and temperature checks at all locations

Associates are required to wear a mask

Required social distancing measures throughout buildings

Increased cleaning frequency and enhanced sanitation efforts
Data Scientist at Parsons

Req #: R127583
Location: US – Remote (Any Location)
Category: Technical Support/Technician/Scientific
Minimum Clearance Required to Start:
Secret
Job Description:
Location: LA SFB/Remote
Job Description:
Parsons is seeking a Data Scientist to participate in on-going projects. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
Duties include:
Work on Palantir- foundry platformUnderstands business requirements and applies them to complex...
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Ready for action? We’re looking for the kind of people who see this opportunity and don’t hesitate to act. Parsons is a leader in the world of Technical Services and Engineering. We hire people with a broad set of technical skills who have proven experience tackling some of the greatest challenges. Take your next step and apply today.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
Apply Now
Data Scientist at Rackspace

We are looking for an awesome Data Scientist, below you will find the main points for the requisition:

*At least one year of corporate experience.
*Developing skills in Python or Sequel. 
*Experience with BI Tools (Qliksense, Power BI, Tableau).
*Good English Skills

A day by day: 
*SAFe meetings
*Code reviews
*Project ownership
*Machine Learning operations End to End
*We work with Cloud environment, Using Kubernetes and GitHub (Not mandatory, this is a chance to learn about it)
*Researching as part of the job.

Free training in Cloud tools + 8am to 5pm schedule Mon to Fri + End To End project responsibility + Awesome work environment. Sounds great, right?






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.