nathansutton/data-science-job-descriptions huggingface dataset:
Machine Learning Scientist at Lumen

FocusKPI is looking for a Machine Learning Scientist to work for our client. The main function of the Machine Learning Scientist is to build and deploy innovative machine learning solutions to improve revenue and increase our client's active user base.
Work Location: Remote in the U.S., preferably in the Bay AreaDuration: 6 months contract Pay range: $43/hour to $53/hourResponsibilities:
Craft advanced machine learning and natural language processing techniques to accelerate paid user acquisition.Work with our client's seriously large volume of data to understand insightful trends and customers behaviors.Construct and refine algorithms to optimize parts of our client's marketing andon-boarding funnelsApply and refine optimization and NLP techniques to expand market reach in an efficient and scalable way, construct andrefine AI algorithms to optimize bidding strategies and budget  allocation. Drive end-to-end Machine Learning projects that have a high degree visibility and applying cutting-edge tech components.
Qualifications:
Master of Science degree in quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience).2+ years of professional experience with developing large-scale machine learning applications.Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks).Explain data science and machine learning concepts to diverse audiences and create a compelling story.Industry or academic experience in the data science or machine learning domain.Explain data science and machine learning concepts to diverse audiences and create a compelling story.Use domain knowledge and data insights to educate and engage with stakeholders, help the teamto better understand the solutions rationale and execute on that.
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
Data Scientist at Fuse Technologies

This is a remote position.
About Fuse Technologies
Fuse Technologies is a fintech solution for the experience economy empowering creators to sell their tickets, hotel, and multi-day curated experience in a single transaction. The company has raised $16M in seed capital to date reaching a $120M valuation in less than 1 year of launching its first client.
Fuse's clients include Live Nation, AEG, Golden Voice, Soccer Champions Tour, Life is Beautiful, TAO Group, Disco Donnie, Wonderfront, Lineleap, Hifi Social, Reggae Riseup, Cali Roots, Insomniac, Relentless Beats, C3 Presents, Vegas Golden Knights, A22 Sports, PAC-12, Big West, Main Event, American Rodeo, Blended, Montreal Tourisme, and over 250 university RSOs.

Requirements
About the Role
Performance Profile
Analyze, manipulate, or process large sets of data
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, churn, and inventory etc
Clean and manipulate raw data using statistical software.
Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Work with stakeholders to come up with data driven insights that help grow the business 
Help build & measure OKRs for company & business units etc.
Having basic understanding of Data modeling, data engineering, databases
5+ years of experience min
Tools: Mode, metabase, DBT, Snowflake
Languages: SQL, Python or R
Remote/Anywhere in United States candidates accepted
Benefits
Simple IRA with company match (up to 3%)
Health, Dental & Vision insurance
Life Insurance
Paid Time Off
Senior Data Scientist Stars at Humana

Description
The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the CMS consumer website to help beneficiaries choose among the plans offered in their area. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, and customer service. For the past five years, Humana has led national competitors with the most members in 4+ Star plans, so we take
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Sr Data Scientist at Humana

Description
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Responsibilities
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises
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Data Scientist Brand at Faire

About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Brand team, you will design and develop algorithms to enhance the CRM system's intelligent recommendation capabilities. Additionally, you will conduct causal inference measurements to improve the referral program's incentive structure. By building effective ML models, you will also prioritize relationship management motions to drive brand success on Faire.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there! 
What you’ll do 

Drive brand success by expanding their sales and consolidating their business onto Faire's platform.
Design and implement algorithms that enhance the intelligent recommendation capabilities of our CRM system. You will also create models that prioritize sales motion and conduct causal inference measurements to optimize the referral program's incentive structure.
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success.

Qualifications

2+ years of industry experience using machine learning to solve real-world problems, and a history of accomplishment and advancement in your Data Science career
Resourcefulness and proactiveness: track record for executing independent projects and leading complex, cross-functional projects with dependencies
Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment. Can evangelize growth marketing initiatives to the organization
Exceptional product and business sense
An excitement and willingness to learn new tools and techniques
Proficiency with Python and SQL

Salary Range
California / New York: the pay range for this role is $148,000 - $203,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $133,200 - $193,050 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Data Scientist Intern at Faire

Job Description
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
We have several Intern positions on the following 3 Data Science teams:
1. Financial Products and Marketplace Optimization2. Discovery (Recommendations, Ranking, Search, Ads)3. Brand and Retailer Growth & Incentives
We're looking for someone with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights.
Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit.
What you will be doing:

Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
Communicate project objectives and results clearly, both within the group as well as to the broader team
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success

What it takes:

We are open to currently enrolled Master’s & PhD students and recent Master’s & PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field
Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)
A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences

Salary Range
California / New York: the pay range for this role is $51.90 - $71.40 per hour.
Colorado / Washington / New Jersey: the pay range for this role is $46.65 - $64.20 per hour.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Senior Data Scientist at Onestudyteam

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Senior Data Scientist New Initiatives at Dropbox

Role Description
We're looking for a Senior Data Scientist to partner with product managers, engineers, designers, researchers, GTM teams providing first class analytical insights, experimentation guidance, and data foundation suggestions via solid and rigorous product thinking and rigorous data science techniques. An ideal candidate should have strong ownership with a “can-do” attitude, feel comfortable to handle ambiguities bringing 0-1 products to the market, get critical and creative thinking, have great product acumen and wide business knowledge from user behavior, customer segmentation, monetization, to machine learning, data loggings, and great execution on the product strategies
Responsibilities


Understand what matters most and prioritize ruthlessly from both strategic and tactical levels. Be time sensitive and accountable.


Develop a deep understanding of customer journey phases. Define key business and product metrics including quality, engagement, retention, and growth ones.

Work with engineers and PMs to create the reliable, efficient, and scalable data infra as well as the experimentation process and standard.

Perform analytical deep-dives to analyze user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques.


Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, engagement, and retention trends. 

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written.

Work with cross-functional teams (including Data Science, Product, Engineering, Design, User Research, GTM, and senior executives) to rapidly execute and iterate.


Requirements

Have a startup mentality to be an outstanding problem solver. Be open and flexible for challenges including get ready to step up if necessary, equipped with great critical-thinking and creative-thinking
Take extreme ownership to drive product strategies with cross-functional partners by providing data insights 
Be adventurous and curious about the AI and the relevant cutting-edge technologies

Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field


4+ years of post-graduate industry experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting


Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction


Significant experience with SQL and large unstructured datasets such as Hadoop. Be proficient with Python to perform analyses and to create necessary visualizations


Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees


Solid background in designing, running and interpreting complex experiments to optimize a product or revenue flow

Strong verbal and written communication skills
Data Scientist Auto Finance at Caribou

About the Role
Caribou is looking for a data scientist with 5+ years of experience in data science, quantitative modeling or machine learning. As a data scientist, you will partner with cross functional teams to deliver model solutions to credit acquisition initiatives. You will create and maintain the code, models and documentation and investigate issues and opportunities. In addition:

Present results to peers, leadership and partners
Work cross functionally with teams to explain key performance drivers 
Develop process to validate and backtest models 
Incorporate testing into models for recommendations to improve initiatives

About You
As a data scientist, you have experience working with statistical techniques such as regression, boosting, GLM and random forest. You are fast and effective at problem solving and able to identify model solutions to business problems. In addition:

A degree in a quantitative field, preferably computer science, math, economics, statistics, finance, or engineering
5+ years of experience in a data science role in the technology or finance space
Experience developing model solutions in financial services
Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.) 

Experience in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)

Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter

How we will take care of you

Competitive base salary of  $110-$140k annually
Equity in a high growth startup
Fantastic health, dental, vision, and mental health insurance, where we cover 100% (yes, 100%!) of the premium for you and your family, and a generous PTO plan
Company-paid for short & long term disability insurance and basic life insurance 
Optional benefits include HSAs, FSAs, voluntary life insurance, and pet insurance
Director I Data Science at Liberty Mutual

Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV) 
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI 
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners. 
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
Job Specifications:
Reference:  2023-54927
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA; 
Schedule: Full-Time
Salary: USD-$154,000.00-–-$216,000.00-/-Year
Education Level: 
 Travel: As Needed
Senior Research Data Scientist at Coalition

About the role
As Senior Research Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyberinsurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner. 
Responsibilities

Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analysis of large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data
Training/mentorship of junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

About You

A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background 


Understanding of and experience with experimental design and statistical methods 
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences 
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Points

Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives

Perks



100% medical, dental and vision coverage


Flexible PTO policy


Annual home office stipend and WeWork access


Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!


Competitive compensation and opportunity for advancement
Principal Data Scientist at Overstory

About the role
We are looking for a Principal Data Scientist who is a creative, but pragmatic, problem-solver. Reporting into VP Engineering you will be the most senior Data Scientist on the team. You’ll spend most of your time working autonomously or within a small team, building, improving, and running our models. You will work closely with the CTO setting, planning, and executing the long-term vision for our ML platform.
This is a hands-on role that will involve exploring satellite imagery sets and other geographical datasets; using machine learning to analyze the images; and working with the teams to deliver the results to our customers. We have models and pipelines at various stages of maturity and we would expect you to use and apply the results of the stable ones and help us improve and validate the ones still in early development. You will work with the team to implement new ML techniques, models, and algorithms that bring step changes to our analyses.
Big part of the role is using the outputs of our analyses to solve customer needs. You will work closely with our Customer Success team to understand the customers’ problems and then work with other Data Scientists and the rest of the tech team to come up with solutions to those problems. You will help us adapt our models to different customer needs, but also environmental and vegetative factors.
On a typical day you could be: running inference on satellite imagery, checking the quality of the output, tweaking the input parameters, and retraining the model with new labels; writing Python code to process and analyze GIS data; researching and incorporating new datasets into your project and sharing findings with the team; reading about the latest Deep Learning techniques and applying them to our datasets.
You will have responsibility for your own projects, and we’ll expect you to take initiative to help us improve overall. Whether the work is about forest damage detection, tree species identification or biodiversity monitoring, you are up for the challenge!
About you

You are creative and curious.
You are pragmatic, you know when a simple solution is sufficient or when new model development is required.
You are a strong communicator, able to express your ideas succinctly. You make complex ideas accessible to others.
You have an eye for quality, your work is thorough, and you pay attention to both the small details and the larger picture.
Teamwork is at your core, and you like to help others grow and succeed.

Requirements

You have at least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer.
You have spent at least 3 years working in a startup environment (preferably early stage).
You have advanced Python experience (including PyTorch and/or Tensorflow).
Experience working with GIS systems and processing GIS data.
Experience processing satellite data and/or imagery.
Machine Learning Research Team Lead at Runway

About the role 🎉
We’re looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.
This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value.
What you’ll do 🎨

Lead and grow a group of Runway’s applied machine learning research team
Coordinate with the product team and the rest of the engineering team to define goals for your team that are aligned with overall company initiatives
Write tooling and prototypes to unblock and increase the productivity of other researchers
Work with a world-class engineering & research team pushing the boundaries of content creation on the browser

What you’ll need 💻

4+ years of industry experience as a research scientist in computer vision
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

 
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $190,000-$230,000
Data Scientist at Level

What You'll Do:

Identify and scope product challenges that are ripe for data science and machine learning solutions - transaction understanding and categorization, merchant classification.
Work cross-functionally to collect data, develop and train machine learning models, and integrate those models into realtime and offline production systems.
Build the infrastructure that allows us to scale by optimizing data science workflows and ensuring data quality standards.

Who You Are:

5+ years of industry experience in relevant roles such as data scientist, machine learning engineer, or software engineer.
You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
Prior experience building production software systems, especially realtime machine learning systems.
Prior experience building machine learning solutions for payment and receipt processing automations

Our Technologies:
These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

Golang
Python
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Kubernetes
Protobuf / gRPC
ElasticSearch

What We Offer:

Competitive salary and equity
Remote first, with an office in NYC as an option to come in
100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
Flexible paid time off: take the time you need when you need it! Plus, get up to 10 days of paid sick leave per year
Fully paid parental leave: up to 14 weeks for primary and 8 weeks for secondary caregivers
Food, wellness, and office funds via our own Level product
Quarterly company sponsored events
Internal learning and development programs
Have the chance to work at a leading innovator and trailblazer in the world of benefits and payments

This position has a minimum base salary of $170,000 and a midpoint base salary of $185,000. The base pay may vary depending on job-related knowledge, skills, and experience. In addition to a competitive base salary this position is also eligible for equity awards.
Data Scientist Iii at Edward Jones

Copyright © 2022 Edward Jones.Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. If you have a disability under the Americans with Disabilities Act or a similar law and you wish to discuss potential accommodations related to applying for employment at our firm, please contact us at 1-866-788-4979. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.
Data Scientist at Achieve

Achieve (formerly the Freedom Financial Network) has openings for Data Scientists at its companies Freedom Debt Relief, Freedom Asset Management, Freedom Network Funding, and Lendage.
Location: San Mateo, CA and Tempe, AZ
Data Scientist is core position involved in executing data analysis and modeling tasks. The overarching mandate for the Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for the organization
Job Duties:
Works on data model maintenance, development, & optimization, data file preparation, reporting & ad-hoc analyses. Perform predictive modeling & convert analytic findings into customer insights. Prepare & manipulate data using R & SQL. Works with internal stakeholders.
Statistical Predictive Modeling & Analysis
Define business problems, translating them to analytic questions, determining whether such data are available in our data warehouse, extracting them for analysis from company database, cleaning & preparing the data for modeling, applying different statistical models based on specific business problems. Build, maintain & optimize predictive statistical models (such as linear regression, logistic regression, Random Forest, XGBOOST, etc.) to estimate impact on profitability drivers based on response, risk, & customer demographic/ credit data, implement analytical technique, tools, scorecards, innovate advanced analytic techniques to analyze customer data & measure the marketing initiative performance. Through analysis & modeling, identify trends, patterns & relationships & make predictions & forecasting in the data that provide answers to questions posed by upper management. Analyze & monitor front-end & back-end A/B testing initiatives, measure true incremental impact of the business initiatives.
R & SQL programming
Perform R & SQL programming every day to work on a variety of quantitative analysis, statistical modeling & reporting. Write SQL queries to extract, & manipulate data in BigQuery, transform raw data to into a format suitable for analysis & archiving, apply advanced data mining & programing techniques to extract information from relational databases or big data repositories, design solutions to improve data processing performance of big datasets.
Results Reporting & Visualization
Summarize results & prepare reports of their findings once the data are analyzed. Create daily updated dashboards using data visualization techniques, such as charts, graphs, & pivot table either in Excel or Tableau to illustrate the results & make them understandable by decision makers within the company. Present the results to upper management, effectively communicate the reports updates, point out the limitations of the existing data so that decision makers will not misinterpret results.
Remote employment possible after probationary period & with management and accounting approval.
Job Req:
18583
Director I Data Science at Liberty Mutual

Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV) 
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI 
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners. 
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
Job Specifications:
Reference:  2022-53277
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$149,100.00-–-$210,200.00-/-Year
Education Level: 
 Travel: As Needed
Data Scientist Analytics at Calm

About Calm
We have a simple mission at Calm: To make the world a happier and healthier place. The heart of Calm is digital but the brand is expanding offline into a variety of products and services that bring more peace, clarity and perspective into people’s busy lives. We are building Calm into the Nike of the Mind. We believe Calm can become one of the most valuable and meaningful brands in the world.
About the Data Science Team
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straight forward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions. 
As a Data Scientist you will be focused on leveraging our data to help prioritize product development, identify optimization opportunities, and automate data flows and analyses for key decision makers. In this role, your initial analytics efforts will be focused on guiding the product roadmap, to foster strong subscriber and user growth. 
 What You’ll Do

Collaborate with Product Managers, Designers and Engineers to design and measure A/B tests that help us understand the impact of new feature releases
Partner with product teams to perform deep-dive analysis to understand user engagement behavior
Collaborate with partners across technical and non-technical teams to bridge the gap between data and action 
Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode
Develop strong cross-functional partnerships across Calm to drive our team's success

 Competencies

2+ years of analytics / data science experience
Strong proficiency in SQL
Comfortable manipulating data with Python or R
Experience designing and analyzing experiments
BA/BS in quantitative field
Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
Strong relationship management and presentation skills
Pragmatic: balance scrappiness and rigor

Benefits

Competitive salary and equity
Unlimited PTO
Company-wide Mental Health days off
We pay your medical, dental, & vision insurance premiums
401K
Life insurance and disability benefits
Apple equipment
Opportunity to work with a product focused on making the world happier and healthier
And much more!
Principal Data Scientist Customer Analytics at Atlassian

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

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are excited to bring a Data Scientist onboard to work with our Feeds and Discover Teams! These teams focus on the user experience across Reddit’s main engagement and discovery surfaces: the home feed, the community feed, the popular feed, the news feed and the recently launched Discover Tab.
As the Senior Data Scientist embedded on the team, you will drive insights on how users consume content and engage across these surfaces, through experimentation and analyses that use the world’s coolest dataset. This will help inform product decisions that will keep making Reddit the best place to hang out online. 
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage community, discovery, participation, and engagement.
What you’ll do:

Partner cross functionally with Eng and Product leads to help define and implement the team's roadmaps and initiatives
Become the expert at understanding how Feeds act both as consumer surfaces, but also as entry points to conversations and media.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate A/B tests for product feature experiments to understand the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Build the dashboards and tools that help your cross-functional partners self serve their data needs

Who you might be:

Have proven experience in quantitative or data science, or product analytics roles (4 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have worked with teams leveraging Machine Learning for ranking or similar features
Have a strong customer and business focus
Entrepreneurial and self-directed
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems