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

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include: 

Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

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

Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
2-5 years working experience developing ML models
Insurance experience preferred
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics 
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data

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

Medical, Dental, Vision, Disability and Life Insurance
Flexible PTO policy 
Remote work
Generous equity package
401K with company match
Parental leave
Continuing education and professional development
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
Head Of Data Science at Tesorio

Tesorio has created a platform to help the Fortune 5,000,000 run as if they had a Fortune 500 finance team. We plug into a company’s data sources about cash in/out and our job is to leverage data science to surface the most impactful actions they can take to optimize their cash flow—and let them implement those actions with the click of a button.

We’re looking for a talented leader for our small but mighty data team to help us ideate, design, and implement impactful data-driven features and reinvent how complex financial transactions can be simplified to the click of a button.

We are developing machine learning algorithms to understand business cash needs, predictive algorithms to forecast future cash flow, and a sleek UI/UX to make our products enjoyable to work with. You’ll be joining an early-stage company with a small, tight-knit team, backed by top-tier VCs (including First Round, Floodgate, Fuel and Y Combinator). You’ll work closely with the entire engineering team and the co-founders. Learn more at tesorio.com.


About You

[Modeling / ML] Excited by solving hard technical statistical modeling and machine learning problems. Constantly stretching your toolbox of capabilities.  Specific experience or knowledge in forecasting a big plus.
[Strategy] Adept at partnering with product and engineering leadership to establish a clear strategy for data driven products and features
[Product Experience] Enjoy building data products that elegantly leverage math/stats/machine learning to delight customers.
[Hands on] Experience (preferably in AWS) deploying large-scale, production machine learning systems.  Proficient with production code delivery in our current stack, which includes Astronomer/Airflow, S3, Snowflake, DBT, python, sci-kit learn, and Metabase
[Startup mindset] Enjoys working on challenges in a fast-paced startup environment and delivering value to customers and to our business



Ideal Candidate

B.S./M.S. in Computer Science or equivalent experience preferred
8+ years of work experience, including 2+ as a manager of DS/ML in a strategic role
Excited to lead a small but highly impactful and strategic team
Player-coach who can make an impact either as a hands-on contributor or as a manager for their team
Expert at translating strategy and ideas into concrete deliverables to move the needle for the business
Strong communications skills
Solid understanding of forecasting with time series / machine learning / deep learning techniques and tabular data



Exciting Projects

[Visualization] Help our users get deeper understanding of their customers based on their payment profiles
[Predictive] Build large scale models with top banking partners to enable their customers to forecast and understand their cash flow
[Visualization] Discover trends in how companies are growing and understand their financial situation
[Language models] Leverage GPT language models to improve efficiency for our customers (e.g by performing sentiment analysis and suggesting email responses).
[Matching/Recommendation] Enable customers to automatically match payment transactions from various data sources
Data Scientist at Myfitnesspal

At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe fitness starts with what you eat. We provide the tools and resources to reach your fitness goals.
The MyFitnessPal Data Science Team embeds artificial intelligence and machine learning into our product portfolio and business to create coaching solutions and personalized experiences to help our users achieve success on their fitness journeys. We encourage creative solutions and strive to maintain rigorous scientific and engineering standards. 
Our diverse team of technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. 
Technologies and languages we work with include: Airflow, Amazon RDS, MySQL, Snowflake, Databricks, Elasticsearch, Scala, Python, SQL, Segment, Amplitude, Branch, Kubernetes, Docker, Okta. We care more about your general engineering skill than your knowledge of a specific language and or framework.

What you’ll be doing: 


Analyze various data sets and build sophisticated machine learning models
Design and optimize algorithms to achieve the best solutions
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Communicate results and ideas to key decision makers
Keep up-to-date with latest technology trends
Help build us next generation data science solutions
Live our core values in all you do:

Be Kind and Care
Live Good Health
Be Data-Inspired
Champion Change
Leave it Better than You Found It
Make It Happen



Qualifications to be successful in this role: 


MS/Ph.D. in Computer Science, Applied Mathematics or other quantitative disciplines with a focus on statistical modeling, artificial intelligence, and mathematical algorithms
Experience with one or more of the following: Natural Language Processing, text understanding, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
3-5 years of industry experience with machine learning
Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where data science and AI can be utilized
In-depth knowledge of Statistics/Probability/Machine learning
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

 
Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.
Data Scientist Risk Analytics at Ninja Holdings

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities Support the implementation of models by working closely with the software engineering team and performing post release checks and analysisAssist with development of technical tools and platforms to standardize and streamline model development and monitoring processesEstablish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendationsWork with cross-functional teams to explore new ways of finding insights from data and provide recommendationsCommunicate concise and actionable business strategies to senior management
Requirements:
Bachelor's degree required2+ years of experience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detailExperience supporting and working with cross-functional teams in a dynamic environment
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)Experience working with specialty finance or FinTech 
Benefits:
Competitive salary and benefits packageFlexible, remote workFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer
Data Scientist Risk Analytics Intern at Ninja Holdings

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities 
Establish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
Requirements:
Bachelor's in (or senior majoring in) math, statistics, computer science, engineering or related fieldExperience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detail
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields) 
Benefits:
Flexible, Remote WorkFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer
Modeler Risk Analytics at Ninja Holdings

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniquesUse advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities Support the implementation of models by working closely with the software engineering team and performing post release checks and analysisAssist with development of technical tools and platforms to standardize and streamline model development and monitoring processesEstablish key performance metrics and develop automated reporting dashboards using SQL and PythonDesign A/B testing for models and underwriting strategies, evaluate impact, and provide recommendationsWork with cross-functional teams to explore new ways of finding insights from data and provide recommendationsCommunicate concise and actionable business strategies to senior management
Requirements:
Bachelor's degree required2+ years of experience with data analytics and statistical modelingExperience with relational databases and SQLProgramming experience with PythonStrong quantitative and problem-solving skills with key attention to detailExperience supporting and working with cross-functional teams in a dynamic environment
Additional Pluses, but Not Requirements:
Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)Experience working with specialty finance or FinTech 
Benefits
Competitive salary and benefits packageFlexible, remote workFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer
Data Scientist at Cleerly

About the Opportunity
As a Data scientist, you will be working on analyzing, developing, and translating state-of-the-art machine learning models to generate direct impacts on the care pathway of heart disease diagnosis and prognosis. You’ll be working with other data scientists, data engineers, biostatisticians, regulatory team members, and senior leadership to understand clinical requirements, develop novel solutions, and support product release and regulatory activities. You will also work closely with the world’s renowned research labs on research collaborations. 
Salary: $140,000 - 190,000
 
Responsibilities

Researching and developing prototypes of state-of-the-art machine learning models with applications in coronary CT angiography imaging
Conducting analyses of the algorithms and prototypes being researched and developed
Researching new methods of measuring and analyzing large and highly complicated data sets
Working with engineers to deploy machine learning algorithms in clinical practice 
Presenting findings and recommendations to peers and other stakeholders
Preparing patents and publications
Managing collaborative research projects with key academic partners

Requirements

The position requires a minimum of a Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field or a MS degree with 4 years of relevant experience
Strong theoretical and practical background in image science, applied mathematics, machine learning, and deep learning
Research experience in applying machine learning / deep learning in medical imaging processing, i.e. segmentation, registration, classification, reconstruction, detection, etc.
Strong track record of publications in top medical imaging or computer vision journals/conferences, i.e. Medical Image Analysis, MICCAI, IEEE TMI, CVPR, etc. 
Strong skills in Python to access large amounts of data, execute multiple analysis steps, visualize intermediate and final results
Ability to quickly translate clinical application requirements into machine learning solutions
Demonstrated critical thinking and project management skills
Excellent interpersonal skills, cross-group and cross-culture collaboration

Impress us more…

2+ years of postdoctoral experience 
Experience in developing and applying state-of-the-art deep learning models, e.g. vision transformer, LSTM, semi-supervised machine learning, incremental or continuous learning techniques, etc.
Strong knowledge of CT imaging
Lead Data Scientist at Featurespace

The Opportunity
In your role as  Lead Data Scientist, you’ll be responsible for the line management of a team of Data Scientists, acting as both a coach and a mentor. You’ll manage complex deliveries of Featurespace machine learning models into customer environments, managing client teams, and helping to accelerate critical work.
You’ll be involved in the improvement of internal processes, both operational and technical, and act as a senior point of knowledge and escalation of data science-related technical questions from the EMEA delivery team.
This role can be based remotely across the US, with our main office based in Atlanta.
Day to Day
Developing and nurturing a team of Data Scientists
Managing team members on projects from the smallest to the very largest customer deployments
Ensuring that projects are run according to best practice as documented by the Data Science team’s ways of working
Monitoring the quality of the deliverables output by the Data Science team, ensuring that these are produced to an industry leading standard
Sharing knowledge of best practice relating to methods for data preparation, data visualisation, feature generation, feature selection and model governance
Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Improving team processes to increase team efficiency and quality of output
Providing input into future data science strategy and product development
Acting as product owner for critical tools in the data science workflow, ensuring that important functionality is delivered to specification by the responsible engineering team
Leading discussion with development teams to support and enhance the analytical infrastructure
Evaluating and improving the analytical results on live systems
Being an expert of industry data structures and processes
Develop expertise in the ARIC analytical tool stack and ARIC system architecture
Apply now
Data Scientist Forecasting Us at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a strong Data Scientist with statistics and economics background who can work on banking deposit products and forecast fund flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Intern Economics Amazon S Choice at Amazon

DESCRIPTION
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL, UNIX, Sawtooth, and Spark would be a plus.  These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of interns from previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. 
BASIC QUALIFICATIONS
To be considered for an economist internship in 2023, applicants should be enrolled in at least the third year of their PhD program and not currently on the job market.
PREFERRED QUALIFICATIONS
Experience with SQLFamiliarity with UNIXFamiliarity with SawtoothFamiliarity with Apache SparkExperience working with large data sets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $49.66/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Data Scientist at Cambium Learning

Job Responsibilities:
The Data Scientist will be an integral part of the psychometric team within Cambium Assessment. The psychometric team has a proven research and statistical background and provides technical oversight on our state assessment systems.  The data scientist will support the psychometric team in developing and maintaining custom statistical software written in R.  In addition, they will drive the development of prototype software to provide proof of concept of new solutions developed by the team. Much of the work we perform is high-stakes, so the right candidate will have the skills needed to perform unit and regression testing.  We are comfortable with the position being fully remote within the US, or based out of our Washington, DC office.
Job Requirements:
B.S. in Statistics, Computer Science or a related quantitative degree and 2+ years professional software development experience or a M.S. in Computer Science or a related quantitative degreeAdvanced Experience using R is requiredExperience using PythonCapable of managing multiple priorities and meeting deadlinesExcellent analytical skillsExcellent communication skillsExceptional attention to detailsAbility to work well on a team as well as autonomously
Preferred Qualifications:
Knowledge of statistical methodsFamiliarity with educational assessment data
Why Work With Us?
When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.
Our ground breaking work includes:
Advanced computer-adaptive algorithmsMobile support of user interfacesLearning management systems with social media featuresUniversally accessible user interfacesMachine scorable items
In the 2021–2022 school year, we delivered more than 100 million online tests, successfully supported peak testing volumes exceeding 1.3 million simultaneous test takers,  while ensuring an average response time of less than a tenth of a second. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.
Data Scientist at Dreambox

About the Role: 
In this role, you will analyze large amounts of raw information. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
Your goal will be to help our company analyze trends to make better decisions and provide our customers the data they need to meet learning objectives and growth goals for all students.
The Data Scientist will report to the Director of Data Science. 
What You'll Be Doing:

Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams to ensure data products are deployable

About You:

3+ years of experience as a Data Scientist and background in Machine Learning
BS in Math, Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is a plus
Experience in data mining
Knowledge of R, SQL and Python including open-source libraries in Python like scikit-learn
Experience using business intelligence tools (e.g., Tableau) and other visualization tools like Streamlit
Analytical mind and business acumen
Strong math skills (e.g., statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Must be legally authorized to work in the United States

Compensation and Benefits:
Expected base salary range for this position is $82,920 – $116,990 USD annually based on several factors, including experience and geography. This position is also eligible for an annual incentive bonus or sales commission bonus, depending on the role, and benefits that are designed to support you & your family. If you are hired at DreamBox Learning, your final base salary compensation will be determined based on considerations such as geographic location, skills, responsibilities of the role, education, and/or relevant experience.  In addition to those factors, we believe in the importance of pay equity and consider the compensation of our current team members as a part of evaluating and extending any final offer.
We are proud to offer employees and their families a comprehensive benefits package:

Medical-Dental-Vision
Health Care Dependent Care
Short & Long Term Disability
Life Insurance
401(k)
FSA/HSA
Paid Time Off - Front Loaded (4 weeks)
Accrued Sick Time
DreamBox "Hero Days" Volunteer Time
Employee Assistance Program
9 Paid Holidays + Annual Winter Holiday Break (Typically the last week of December)

#BI-Remote #LI-Remote #LI-JW1
Data Scientist at Candid

POSITION: Data Scientist
REPORTING TO:
Data Scientist
SCHEDULE
35-hour work week, Monday through Friday
LOCATION
Flexible (Remote or a hybrid schedule in one of Candid’s offices in New York, NY; Atlanta, GA; Cleveland, OH; or Williamsburg, VA)
COMPENSATION
$100,000 - $110,000 (compensation may vary based on skills, experience, and location)
BENEFITS
Health insurance (Medical, Dental, Vision), Retirement contribution with additional option for match, Company paid Life Insurance & AD&D, Paid leave time (PTO, Bereavement, Volunteer, Holiday, Parental), Short-term and Long-term disability, Pre-tax Transit, FSA
POSITION SUMMARY
Candid (candid.org), the nation’s leading authority on philanthropy, seeks a resourceful, creative, conscientious, and detail-oriented individual to join the Candid Data Science team to work on problems in natural language processing, and at the intersection of knowledge graphs and machine learning.
RESPONSIBILITIES
Ability to develop in Python and to work with mathematical computing libraries.
Work with graph structured data and perform supervised and semi-supervised machine learning tasks to better personalize customer experiences in Candid’s products.
Apply natural language processing techniques to better understand activities in the social sector both in the United States and around the world.
Implement statistical and machine learning applications for consumption at high scale.
Performs other duties and special projects, as assigned.
Work within an Agile Development framework.
Work closely with Product Teams to understand the “definition of done”.
REQUIREMENTS
Masters degree in a quantitative research field strongly preferred, equivalent industry experience also considered.
Advanced experience with Python for data processing and analysis, including proficiency with SciPy/NumPy and NetworkX.
Demonstrated experience with machine learning tools such as Scikit-learn, TensorFlow or PyTorch.
Experience with natural language processing (NLP) and graph neural networks is strongly preferred.
Identify new problems to be explored.
Willingness to perform other duties and special projects as needed.
Professional, positive attitude.
Sensitivity and respect for racial, gender, sexual orientation, and cultural differences.
Champions and represents Candid’s core values: We’re driven, direct, accessible, curious, and inclusive.
Download theData Scientist  pdf.
Data Science Intern at Mercury

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.
While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can spend a summer internship building our analytics engine by making meaning from data and identifying opportunities for improvement.
In this internship, you’ll work alongside data scientists, product managers, engineers, marketers and designers to inform how we invest in and build Mercury’s future. You’ll be early to building a data-informed culture across Mercury so that we can all determine what's happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:

Understand funnels, usage patterns, and long term trends to identify opportunities to improve Mercury’s products.
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
Create dashboards that support the day-to-day operations of different product and functional teams, including growth, compliance, finance and marketing
Build data structures that enable self-serve analytics and empower teams to do their own analyses
Assess risk and tradeoffs of different approaches in solutions for Growth, Product, Compliance, or other important areas of the business.
Influence and partner with engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.

You should:

Be enrolled in a graduate program obtaining your masters in business administration, statistics, data science, or other related studies.
Have 1+ years of experience using data to deliver insights and inform decisions, using analytical concepts like funnels, A/B testing, regression and user segmentation
Have experience with SQL, and other statistical programming languages (e.g. Python, R, etc.).
Have familiarity with data pipelines and dashboards
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership

This is a paid full-time remote summer internship for 10-12 weeks between May-August. Our internship program is intended for individuals enrolled in an academic program (undergraduate, graduate, MBA, etc.). Individuals interested not enrolled in an academic program at this time are encouraged to apply to any of our full-time openings.
In terms of compensation, the hourly rate for candidates based in the US is $50 USD. The hourly rate for candidates based in Canada is CAD 50.#LI-DNI
Sr Data Scientist Model Risk Management at Opportun

RESPONSIBILITIES:  

Perform independent model validation, annual model review, ongoing monitoring report review, required action item review/closure on the cutting-edge machine learning models.
Produce high-quality model validation reports, highlighting risks and limitations of the model in a concise manner.
Communicate to business audiences through verbal and written presentations describing the results of the validation findings and mitigation actions.
Work closely with business owner's/model users and developers to understand the business context for model use and facilitate the model approval process.
Stay up to date with regulatory expectations of model development, use, and validation activities.
Support Oportun’s the model risk management framework, including annual validation plans, model inventory, model risk ranking, and model risk governance.
Develop and maintain effective partnerships with key model stakeholders.
Support the coordination of model risk governance practices with the model users.
Attention to detail in both analytics and documentation. Qualifications

QUALIFICATIONS:

Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered).
3+ years of practical quantitative programming experience with Python, R, and SQL.
3+ years of experience in financial or credit risk modeling or validations.
Experience and knowledge of supervised and unsupervised machine learning methodologies, such as GBM, XGBoost, and NLP.
Excellent written and oral communication skills.
Strong stakeholder management and project management skills.
Good team player and willing to help and share.

#LI-MM1 #LI-Remote  
 
The US base salary range for this full-time position is $90,000- $139,500
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.
Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits
Director Data Science Pl Us Auto Pricing Design at Liberty Mutual

Job Summary:
The Product Design and Modeling team has an opening for a Director, Data Science position that will drive pricing sophistication for personal auto products. Auto Pricing Models are a high profile and exciting area where we are able to apply creative problem-solving skills and have a major impact on business results for Liberty Mutual’s largest insurance product. The role will report directly to an Auto Design Channel Lead and manage a team of 4–6 direct reports, potentially in multiple locations but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team
Responsibilities: 
Lead the build of complex loss cost models across US Auto products and related pricing areas
Build and develop a team of best-in-class modelers
Establish yourself as a self-driven leader, providing both strategic and tactical direction in the US Personal Lines Auto space
Drive research and innovation in modeling and data science techniques to improve our accuracy, efficiency, and speed to market
Explore and utilize advanced modeling techniques
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Build strong relationships with leaders across the organization to maximize the impact of our product builds and to help implement new pricing programs into market every 12 to 18 months
Job Specifications:
Reference:  2023-57615
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA; 
Schedule: Full-Time
Salary: USD-$178.10-–-$234,300.00-/-Year
Education Level: 
 Travel: As Needed
Assistant Director Director I Data Science Machine Learning Innovation at Liberty Mutual

The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role
As a Data Scientist in Solaria Labs, you will be part of a team working on challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities: 
Develops, customize novel machine learning algorithms for insurance-related applications.
Able to Understand state-of-the art machine learning algorithms from the literature.
Communicate complex concepts related to machine learning to stakeholders with varied backgrounds.
Mentors a serves as a tech lead for a team of data scientists and advanced analytics staff.
Collaborates with business partners to develop tools and solutions using advanced machine learning techniques.
Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction.
Supervises and performs highly complex, technical and creative predictive analytics projects.
Regularly engages with the data science community and leads cross-functional working groups.
Please note this posting is open to multiple locations or remote. Compensation will vary based on location, experience and education. 
Job Specifications:
Reference:  2023-54202
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$135,000.00-–-$216,000.00-/-Year
Education Level: 
 Travel: As Needed
Data Scientist at Focuskpi

FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems 
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
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