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

About ClosedLoop:
ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a customer-facing Data Scientist to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:

Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.

What you'll bring:

Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required
Understanding of machine learning and statistical analysis

Why ClosedLoop:

Competitive salary
Equity
401K plan
100% company covered for medical, dental, and vision for employees and their families
Flexible PTO

Employee Testimonials:

"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"
Healthcare Data Science Consultant at Closedloop

About ClosedLoop:
ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a customer-facing Healthcare Data Science Consultant (known internally as a Data Scientist) to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:

Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.

What you'll bring:

Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required
Prior experience in a professional services/consulting position required
Understanding of machine learning and statistical analysis

Why ClosedLoop:

Competitive salary
Equity
401K plan
100% company covered for medical, dental, and vision for employees and their families
Flexible PTO

Employee Testimonials:

"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"
Data Scientist Deep Learning Ml Nlp at Nightfall

Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall's software platform and APIs to discover, classify, and protect sensitive data.

As an early Data Scientist at Nightfall, you’ll design & implement models that enable us to detect sensitive data with high accuracy across petabytes of heterogeneous & unstructured data.


Responsibilities:

Conduct state of the art research in natural language processing, deep learning, and machine learning.
Selecting and engineering features based on mining massive data sets.
Prototyping & testing algorithms to innovate state of the art detectors of sensitive information.
Building, training, tuning a variety of machine learning & deep learning models.
Enhancing data collection procedures to include information that is relevant for building state-of-the-art detectors.
Productionize data science models and collaborate closely with data engineering & product team to establish a feedback loop.



Ideal Qualifications:

BS, MS or PhD in Computer Science, machine learning, NLP, deep learning, AI or a related technical field.
Strong software engineering skills across multiple languages including but not limited to Python, Javascript, etc.
Experience building one of the following production systems in industry: natural language processing, bayesian models, information retrieval, learning to rank, recommender systems, speech recognition, unsupervised learning.
Good mathematical understanding of popular NLP and/or machine learning algorithms.
Hands-on experience with NLP tools, libraries, and corpora.



About Nightfall:
Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at careers@nightfall.ai.
Auto Data Scientist Pricing R D at Clearcover

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making  

What will you bring? 

Strong experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Artificial Intelligence Leader at Entefy

Join the next revolution in intelligence. In this highly visible role, you will directly contribute to a product that redefines how we digitally communicate and interact with the world—people and things.

You will lead an incredible team to create groundbreaking technology that beautifully combines natural language processing, big data, and artificial intelligence. We promise this will be nothing short of a massive undertaking that will forever change everything. 

Skills and Experience:
Changing digital interaction is hard. Changing the world with digital interaction is even harder. Our success demands creativity, curiosity, and the willingness to collaborate from every Entefyer. The ideal candidate for this role possesses:


Requirements

Ph.D. in Artificial Intelligence, Natural Language Processing, Machine Learning, Physics, Mathematics, or related field preferred.
8+ years of relevant experience.
Distinctive ability to attract and select the right people for the right position.
Demonstrable ability to define and quickly develop POCs and prototypes.
Ability to quickly learn complex systems and new technologies.
Strong communication and collaboration skills.
Courage to innovate and fail.
Demonstrable experience in Computer Vision, NLP/NLU, Machine Learning, or advanced Data Science.
Proficiency with Deep Learning is preferred.


Visit www.entefy.com and www.blog.entefy.com
Senior Data Scientist at Entefy

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere.     

Skills and Experience:
We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.


Requirements

Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred.
5+ years of relevant experience.
Demonstrable proficiency in Python, Scala, SQL, or R.
Strong data visualization and reporting skills. 
Expertise in extracting insights from real-world structured and unstructured datasets.
Proven track record delivering high-value, advanced analytics.
Experience leading the work of other data scientists or analysts is preferred.
Strong communication skills 
Startup agility and versatility.


Visit www.entefy.com and www.blog.entefy.com.
Data Scientist at Entefy

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. 

Skills and Experience:

We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.


Requirements

Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred. 
3+ years of applicable work experience.
Demonstrable proficiency in Python, Scala, SQL, or R.
Strong data visualization and reporting skills. 
Proven track record delivering high-value, advanced analytics.
Experience leading the work of other data scientists or analysts is preferred.
World-class ability to extract and communicate insights from real-world datasets.
Startup agility and versatility.


Visit www.entefy.com and www.blog.entefy.com.
Manager Data Science Product Analytics at Lattice

This is Data Science at Lattice
As a Manager – Data Science, Product Analytics, you will be responsible for leading data scientists who partner deeply with our Engineering, Product, and Design teams to accelerate data-driven product development. Your role will be centralized across many products in the Lattice platform and you will have a unique opportunity to make a large impact on the influence of data on a quickly growing customer base and the broad suite of products that Lattice offer. In addition to partnering with Engineering, Product, and Design leadership on strategic initiatives, you will also manage full-stack data scientists across a variety of projects and problems ranging from data modeling in dbt to reporting in Looker and analysis in python or R.
What You Will Do


Guide business impact of data scientists partnered with our product team, advising on topics such as metric creation, feature success analysis, and roadmap prioritization


Regularly communicate out insights, commentary, and recommendations about the state of our products in light of our product strategy  


Support the personal development of data scientists by advising on technical analysis including machine learning techniques and experimentation 


Create and contribute to team-wide processes and documentation


Manage sprint planning and workload distribution across data scientists as they prioritize work across the platform 


Guide technological decisions in collaboration with our analytics engineers and other key stakeholders


Roadmap Data’s bi-annual plan, managing expectations and inputs from across the engineering, product, and design organization


What You Will Bring to the Table


Have hired, trained and supervised individuals in a data or analytics function 


5+ years experience working in Data Science or Analytics


Proven ability to deliver data, recommendations, and insights that have a material impact on product development, strategy, or other key business areas in a B2B Saas environment


A track record of collaboration with stakeholders 


Deep expertise in a facet of data science including but not limited to machine learning, experimentation, or data analysis 


History of guiding teams to successfully complete projects on time and within scope 


Sharp SQL skills 


Hand-on experience with either R or Python


Familiarity with a BI tool such as Looker


Even if you don’t meet each of the components of experience we’ve listed here, we don’t want that to get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
Applied Machine Learning Scientist Core Ml at Chartboost

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Impact you will make:


Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Stay current on technology trends and developments in the relevant ML areas

Who you are:

PhD (or Msc)  in computer science, machine learning or related fields
Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning
Proficiency in Python, SQL and machine learning frameworks such as Pytorch and Tensorflow
Experience with distributed training and inference pipelines on large datasets
A willingness to branch out to learn new domains/ approaches and make progress independently

The following experience would be a plus:

Ad tech and/or mobile space
Hands-on in large scale production grade machine learning systems


Perks:

Comprehensive medical, dental and vision insurance 
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens 
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use


More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
Director Of Trusted Ai Product Management Office Of Data Science at Liberty Mutual

Help bring Liberty Mutual into the future by advocating on behalf of all data scientists across the enterprise.  For Liberty Mutual to be successful using ML, DS, and AI we need to ensure our customers, partners and regulators have trust in the data driven decisions we make.  The Director of Trusted AI Product Management will be a key member of the Office of Data Science Product Team.  As the Director of Trusted AI Product Management, you will lead Trusted AI efforts at Liberty Mutual. You will develop a vision, strategy and roadmap for the Trusted AI portfolio and obtain buy-in from key stakeholders.  Liberty Mutual aspires to be the data science leader within the insurance industry and you will play a key role in partnering across the organization to make this happen.
Responsibilities:
Develop vision, strategy, and roadmap for the Trusted AI portfolio inclusive of Data Science reliability, privacy & security, fairness, interpretability, and governance
Manage Trusted AI vendor and open-source selection and tool development for the Trusted AI Portfolio. Partner with Corporate Technology to embed Trusted AI practices into LMs enterprise DS tools
Provide updates and presentations to senior leaders on the Trusted AI Program
Partner with the Trusted AI Data Science Leader, ODS Science and Liberty Mutual Data Science teams to further cultivate a DS culture of trust and integrity
Build relationships across the enterprise and promote excitement for Trusted AI initiatives
Collaborate with Enterprise Risk Management, Corporate Actuarial, Legal, and Global Compliance and Ethics on efforts to reduce the risk of data science and machine learning
Key traits we are looking for:
Data Science Passion: you have a passion for making things better with data science
Integrity: you build and maintain trust with your colleagues, stakeholders, partners, and leaders
Leadership: You are a passionate leader who can bring the enterprise together, gain cross team alignment and deliver results
Customer Empathy: ability to try on the experiences of customers and stakeholders – especially those with conflicting viewpoints
Problem-solving: you can solve difficult problems efficiently with appropriate methodologies
Communication Skills: you can communicate to a wide variety of audiences adapting your technique as appropriate in a strategic manner
Job Specifications:
Reference:  2022-52909
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$129,500.00-–-$184,000.00-/-Year
Education Level: 
 Travel: As Needed
Director I Data Science Product Design Modeling at Liberty Mutual

The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The ideal candidate is proactive and intellectually curious, highly technical, and can efficiently think through complex business questions independently. The Individual Contributor role will report to the Liberty 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.
*Please note:  This is a grade range posting (Grade 17-19) and level will be determined by the Hiring Manager based on experience.
Responsibilities: 
Build complex loss cost models for Liberty Auto products to drive pricing and non-pricing sophistication with minimal supervision
Act as a technical and subject matter expert for US modeling
Make well-informed decisions on how to structure a pricing program that considers the customer experience of additional questions, as well as regulatory restrictions on certain variables
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
Present recommendations to key stakeholders
Act as a mentor and help develop less experienced analysts on the team
Job Specifications:
Reference:  2022-52797
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$114,200.00-–-$204,200.00-/-Year
Education Level: 
 Travel: As Needed
Head Of Quantitative Science at Beacon

What you will be doing:
Beacon Biosignals is seeking a Head of Quantitative Science to oversee the discovery and deployment of scalable EEG-based neurobiomarkers atop Beacon's Platform. As a Head of Quantitative Science, you'll work directly with executive leadership and Beacon's data science teams to help equip Beacon and its partners with meaningful and necessary brain health metrics to drive the next-generation development of precision therapies for brain disease. This role reports directly to the Chief Technology Officer. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York, or the Bay Area.
What success looks like: 

Establish practices to optimize both the automated and manual feedback loops that power the execution and delivery of data science at Beacon
Structure those feedback loops to ensure that data science outputs fold cleanly back into Beacon's core platform, enabling our pace of scientific discovery to compound with each new trial, dataset, and model
Identify critical growth areas for individuals, teams, and domains within Beacon, and build out cross-functional collaboration channels that catalyze that growth

What you will bring: 

You've acted as a managing lead spanning multiple data science teams simultaneously within a biopharma context
You've grappled with the complex organizational dynamics that constrain and accelerate analysis efforts across the different phases of drug development
You write a lot and read even more. Information-gathering is ingrained in every aspect of your work. Your decisions incorporate feedback from stakeholders, your reports, collaborators, and historical context that you intentionally mine over time
You have a keen sense for the bandwidth limitations, technical debt, and non-iterative processes that drag a project down, and you've employed effective strategies for preventing/remedying these issues in the past
You love seeing teams and individuals level up. You're dedicated to helping direct reports overcome challenges and seize opportunities that are crucial to self-growth
You recognize the distinction between the functions of technical and organizational leadership. You strive to work in a manner that embodies both
You push for transparency and objectivity when evaluating your projects, your reports, and hiring process. You recognize the symptoms of implicit bias and strive to account for them
You're highly cognizant of inter-team dynamics and the effects of Conway's law on system design. You pursue team topologies that are well-shaped to address both proactive and reactive organizational goals
You're comfortable working in a remote environment, and have demonstrated success doing so in the past
Data Scientist Ii at Liberty Mutual

The Technology Data Science & Data Governance team is looking for a highly motivated Principal Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be confident, organized, creative, and interested in identifying and solving business problems using data and analytics. They will have the right mix of experience, analytical, technical, and communication skills to thrive in a fast-paced environment. In addition, they will take active roles representing the Data Science community in the Liberty Mutual wide Data Science Professional Resource Group (DSPRG) and serve as a mentor to other data scientists, data analysts and contribute to Technology Data Governance efforts.
The Analyst II, Data Science collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues.
Responsibilities:
Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
Customizes analytic solutions to specific client needs.
Responsible for smaller components of projects of moderate-to-high complexity.
Regularly engages with the data science community and participates in cross-functional working groups.
Job Specifications:
Reference:  2022-53024
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$114,200.00-–-$161,600.00-/-Year
Education Level: 
 Travel: As Needed
Data Scientist I at Liberty Mutual

The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment.
The Analyst I, Data Science gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
Assists in customizing analytic solutions to specific client needs.
Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
Engages with the Data Science community.
Participates in cross functional working groups.
Job Specifications:
Reference:  2022-53025
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$90,100.00-–-$126,200.00-/-Year
Education Level: 
 Travel: As Needed
Lead Data Scientist at Apartment List

Apartment List is looking for a Lead Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:

Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization

Here are the skills and experience you’ll need to be successful:

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact
Data Scientist Special Initiatives at Ledger Investing

About the Position:At Ledger Investing, we are building a market for a new class of financial assets that will have transformative impacts on casualty insurance, reinsurance, and institutional investors alike. These financial assets are fairly complex and involve expertise across multiple domains.
This posting is for a unique position within the Ledger organization. You will be a member of the Data Science team, as such, you will have regular opportunities to interact with other data scientists and contribute to analytical work at the company. However, the majority of your time will be spent working directly with the company’s CEO and Chief Data Scientist on special projects.
Many of the special projects will focus on demystifying what we do for the sake of both insurers and investors. We are particularly interested in building software tools that help clearly explain the nature of insurance risk, insurance market dynamics, the financial structure of insurance-linked securities, and other such topics. These tools will educate and empower the insurance and investing communities to better understand these novel assets.
About You:
Successful candidates will have all of the following attributes:

Strong skills in Python programming, including familiarity with the NumPy and SciPy libraries.
Demonstrated skills in translating high-level concepts and ideas into concrete, precise, and technically rigorous implementations.
Solid grasp of the principles of data visualization and ability to generate rich and insightful plots of quantitative data.
Experience with quantitative finance, including financial modeling.
Ability to communicate complex technical ideas to non-technical audiences.
Strong attention to detail and ability to work independently.

The following attributes will help candidates stand out from the crowd:

A graduate degree in finance, statistics, operations research, or another applied quantitative field.
Knowledge of the property & casualty insurance industry.
Familiarity with version control, especially Git/GitHub.
Experience with simulation-based modeling and/or operations research.

Your Benefits:

Competitive salary, bonus potential, and equity compensation
Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
Uncapped paid time off
Paid Holidays
401k
Medical, dental, and vision insurance - multiple plans to choose from
Company paid Life and AD&D insurance
ClassPass  - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
Up to $5,000 paid by Ledger towards your dream desk setup! Customize what works for you.
Director Data Science at Circle

What you’ll be responsible for:
As a Director, Data Science at Circle, you’ll work closely with the Business, Product, and Engineering to produce analysis, machine learning solutions, and scalable data practices. You’ll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:

Drive data science efforts, communicate cross-functionally, and be a subject matter expert
Create road maps and help prioritize data science work 
Support the individual and career growth of team members to minimize attrition and maximize output
Partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including crypto ecosystem understanding, fraud detection, and risk management
Help your team ideate and execute on the right analysis, models, and stories
Become an expert on data sources and flows at Circle
Evangelize the power of data science to understand and improve our business and operations.

You will aspire to our four core values:


Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.


Mindful - you seek to be respectful, an active listener and to pay attention to detail.  


Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. 


High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.


What you'll bring to Circle:

12+ years of industry experience working with and analyzing large data sets
5+ years of experience with technical leadership and people management
Knowledge of a scientific computing language (Python) and SQL
Theoretical and applied expertise in statistics, experimental design, and analysis
Strong communicator who can take complex ideas and methodologies, and simplify them for non-technical audiences
Ability to understand complex business problems and break down analytics projects into a structured approach
Track record of developing, managing, retaining data scientists individual contributors and managers
Experience managing remote teams

Additional Information:

This position is eligible for day-one PERM sponsorship for qualified candidates.
Data Scientist at Circle

What you’ll be responsible for:
As a Data Scientist, Analytics at Circle, you’ll work closely with product stakeholders and engineers to better understand our products and enable better decision making with data. Your job will include making sure teams are focused on the biggest opportunities, defining success metrics and goals, and communicating insights throughout the company. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:

Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship. 
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions
Communicate the state of business, experiments results and recommendations to a broad team and senior leadership
Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem

What you'll bring to Circle:

3+ years of industry experience working with and analyzing large data sets
Experience in data analyses using SQL and at least one programming language (e.g. R, Python)
Understanding of statistics and experience applying them to business problems
Experience planning and executing analytical projects
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data or crypto is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics, compliance, risk areas.
Experience manipulating large amounts of structured and unstructured data.

Additional Information:

This position is eligible for day-one PERM sponsorship for qualified candidates.
Senior Data Scientist at Fuzzy

The Company

Fuzzy is a health and wellness pet company building for the pet parent. We’re changing the way pet parents think about caring for their pets, looking to empower the pet parent by putting caring for our pets on autopilot. At Fuzzy, we work every day to make veterinary care more accessible. Of the 200 million dogs and cats in the US, more than 100 million receive no veterinary care. 
Through technology we’re creating a different type of relationship between vets and pet parents - one that is personal, empowering, and for the long haul.

The Role

The Fuzzy Data Science team partners with people across the company to drive the business forward with data. We’re looking for help understanding our data, making predictions to improve our product and customer experience, and optimizing our processes.
We collect data from a wide variety of sources, and our ideal candidate for this role will be someone with experience building successful models while being data-driven, curious, and a clear communicator. 


Responsibilities:

Develop a thorough understanding of our data and interpret them as they relate to pet parent behavior, pet medical records, care delivery outcomes, and product development.
Build predictive models and optimization routines, with applications ranging from text recognition and classification, care recommendations, churn prediction, and optimizing internal processes.
Collaborate with other members of the Data Science & Data Engineering team on ways to approach problems, improve code, and share new techniquesWork with functional team leaders (in Product, Digital Health, Marketing, etc) to explain your analysis, findings, and recommendations.Find opportunities for improvement across the business and assist in decision-making across teams.



What We're Looking For:

4+ years of experience with predictive modeling, machine learning, and data scienceStrong eye for detailHigh degree of proficiency with one of Python or R
Proficiency with SQL
Bachelor’s Degree in a quantitative fieldComfortable writing and debugging production code



Nice To Haves:

Experience deploying predictive models in a cloud environment (we use AWS)Experience with batch and real-time compute models
Experience with BI and Analytics tools (we use Tableau and Amplitude)



We know that great work comes from great, and inclusive teams. At Fuzzy, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Fuzzyrs and individuals.

We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. Fuzzy is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. If you have a disability or special need that requires accommodation, please let us know.