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

Company
Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing.
The Team
The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants.
The Role
We’re seeking a mid-level Data Scientist to join our small but growing Data Team. You should be able to be a project lead, making key decisions through all phases of a project, including exploratory analyses, prototyping, testing, and presenting your solution to business stakeholders. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution.
Responsibilities
Leading projects from start to finishWorking with our Engineering team to ensure Data Science team is getting the proper supportSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner
Skills and Qualifications
Required
Bachelor's degree and 3-5 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLExcellent scripting skills (preferably with Python and Pandas toolkit)Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality
Nice-to-have
Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, CatboostFamiliarity with object-oriented programming in Python (classes, inheritance, etc.)
Data Scientist Associate Level at Doorstead

Company
Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing.
The Team
The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants.
The Role
We’re seeking an Associate Data Scientist to join our small but growing Data Team. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution.
Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner
Skills and Qualifications
Required
Bachelor's degree and 2-3 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLFamiliarity with Python and PandasGood applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality
Nice-to-have
Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, Catboost
Data Scientist Decisions at Crisis Text Line

Role
As a Data Scientist, you will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, coaching, and clinical staff, to collect, analyze, and share evidence that will inform critical business operations decisions and organizational storytelling. In particular, you’ll work on 6 high-level stages that will help move your stakeholder groups toward evidence-informed actions: data collection, availability, methodology of analysis, access, analysis, and interpretation. Through this work, you’ll help to create a culture of evidence-based decision-making that will increase our organization’s impact on our mission of supporting people in crisis.
Responsibilities


In partnership with stakeholders, identify and implement new metrics and improve old metrics to reveal or monitor organizational challenges or opportunities;


 Develop and maintain dashboards and other visualizations that track performance metrics and show where we can improve our service;


Use a mix of research methods, including regression analysis, survey design, qualitative research, literature reviews, and A/B testing to generate evidence and insights;


Be a strategic partner and work with stakeholders to connect analysis to key decisions that affect the organization. Our team’s output is analysis, but our outcome is impact;


Evaluate new products and programs alongside stakeholders (eg, a new volunteer communication strategy);


Clarify what conclusions the team can draw from what may be imperfect data, and maximize team learnings;


Provide peer-reviews that ensure we are producing valid, reliable, and interpretable analyses;


Consider ethics, equity, security, privacy, and confidentiality, in all work;


Spread knowledge, provide mentorship, and promote research best practices;


Learn from your colleagues, stretch yourself, and grow as a scientist and teammate;


Manage your time successfully by focusing on priorities, and delivering on deadlines.










Qualifications


 2+ years of relevant experience


Proficiency in SQL and experience with at least one of the following statistical tools:
Python, R, SPSS, STATA, or SAS


Experience using mixed research methodologies, including two or more of the following:
survey design, qualitative research, A/B testing, statistical methods, machine learning.


Experience building charts in visualization tools like Sisense, Looker, and/or Tableau.


Understanding of essential scientific and research principles and how to apply them, e.g.,
the scientific method and hypothesis testing, forms of research bias, experimental design, types of variables, privacy and confidentiality, ethical research.
Data Scientist at Pluralsight

This position is also available for employment in these areas:Draper UT, Remote - USAJob Description:At Pluralsight, we are an established team of collaborative data scientists supporting decision makers across the company. We work closely with operational teams to gain a broad understanding of the company’s data science needs. We ask an ambitious question: how can data science optimize key results? The sophisticated challenges require a variety of data science methodologies to address them. This is an exciting role! Our work has a measurable impact on improving business outcomes.WHO YOU’RE COMMITTED TO BEING:-  Strategic problem solver who understands how data science solves business problems -  Interpreter who finds trends and patterns in disparate data-  Creator of models, analyses, and visualizations-  Communicator able to translate technical details into business insights-  Partner to internal customers who share high-value business objectivesWHAT YOU’LL OWN:-  Discovery of opportunities for applying data science-  Cross-functional project collaboration on data science results-  Development and implementation of analyses and predictive models-  Continuous testing and improvement of deployed solutions-  Distillation of algorithms to business leaders, eliminating “black box” distrust-  Presentation of results to company leadersEXPERIENCE YOU’LL NEED:-  1-2 years of professional data science experience-  Coding with scientific languages (Python, R)-  Using SQL and relational databases as well as big data platforms (Spark, Hive)-  Producing effective and interactive data visualizations (Tableau, Shiny, D3)Be yourself! Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-TC1#LI-Remote
Data Scientist Product Analytics Temporary at Evernote

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.
 
What you will do

Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights
Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities 
Assist product and marketing with Go to Market plans including audience segmentation and sizing 
Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement
Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes
Conduct analysis of feature usage and how we can improve the product 
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses

 
What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
3+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

 
Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

 
We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
 
California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy
Data Scientist Analytics at Evernote

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.
 
What you will do


Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights


Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities 

Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement

Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes

Conduct analysis of feature usage and how we can improve the product 
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses

Design and implement predictive models to improve engagement, conversion, and retention


 
What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
4+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

 
Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

 
We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
 
California privacy notice: Read our privacy policy for job applicants here
Sr Data Scientist Nlp at Evisort

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry. 

The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.


What You'll Do:

Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform.
Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment.
Own design, implementation and deployment of your models and see them deliver business impact.
Mentor other team members and continuously further the Data Science organization
Guide design, architecture, tooling and processes at the organization level



Skills/Qualifications:

7+ years ML experience in industry, startup experience is a plus
4+ years working with deep learning in NLP, additional experience with Computer Vision is a plus
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch)
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact


Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Sr Data Science Manager at Panorama Education

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.  
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to–through team leadership and support–leverage data science to advance critical research and development (R&D) efforts for our products. You will manage our growing team of 4 high-performing data scientists as well as advise and support them as they develop our data science architecture and tech stack, leverage educational data for R&D purposes, develop equity-first analytics products, and grow professionally. You’ll work closely with and report to Panorama’s Director of Research and others on our Engineering, Product Management, and Information Security teams–as well as company leadership–on data science strategy, planning, hiring, and execution.
Responsibilities:

Oversee the compiling, cleaning, managing, analysis, and visualization of large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Advise and support data scientists as they 1) design, secure, and implement data pipelines and infrastructure to enable product development and advance company goals 2) apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Develop data and human systems that foster innovation, inclusion, excellence, and equity
Support team members in their individual and collective impact, growth, satisfaction, and well-being
Organize sprints, oversee data science project management, and ensure that estimates are accurate and deadlines are met
Hire and onboard a diverse set of data scientists.
Help envision and lead the next phase of our data science strategy and efforts, including team, technology, and security practices, as well as the development of analytic products

Our Ideal Candidate Has:

3+ years of experience as a Data Science Manager, a passion for helping team members thrive through individual support and system-level improvements, and a track record of improving team practices
Demonstrable and broad expertise that includes data pipelining, cloud computing, manipulating large datasets, and using traditional and modern statistical methods to solve user problems
Ability to thrive as a team player in a collaborative, small-team environment
Product Manager Data Science at Panorama Education

About the Role: 
Do you enjoy bringing together data to help solve problems? As Senior Product Manager, Data Science Labs, you will work to spin up a sophisticated data science infrastructure that gives internal teams the tools to explore our data in new ways and enables us to innovate Panorama’s platform through the development of features powered by our data set. 
You will work cross-functionally with partner teams and product leadership to develop a vision for how we supercharge our products by surfacing data-informed insights and recommending action to users and a strategy to get us there. You will work with a team to innovate, test, and deliver valuable new features, build upon our analytic expertise, and support and help shape the growth of our product team norms and practices as we scale. 
You will become an expert in K–12 education and the technical needs of our school, district, and state partners, identifying the most important problems to solve and delivering creative solutions to scale our support of all students and drive improved and more equitable outcomes. 
Responsibilities:

Define problems and devise the roadmap for enabling data exploration and analytic development through a set of data science tools
Partner with other product leads to ensure that we are delivering the data science infrastructure and tools that will best support the goals and mission of each product area.
Ensure high-quality execution of the roadmap through collaboration with other development team members including engineers and data scientists
Gain a deep understanding of the day-to-day lives of K–12 district technical leaders and the challenges that they face when using our platform and look for ways to improve their experience with Panorama’s platform.
Lead by example and drive meaningful client and business outcomes by setting and achieving goals with your cross-functional team
Communicate your team's roadmap and strategic plans, creating excitement and alignment within your team, and across Panorama

Our Ideal Candidate Has:

2+ years of product management including experience working with data science or analytics
Implemented new systems or practices across different product teams, and effectively aligned stakeholders to goals and process 
Interest in solving big problems and helping educators improve student outcomes in innovative ways
Exceptional communication across all levels of an organization, stakeholder alignment, and driving business objectives 
A people-first mentality to help others succeed
Experience working in Education, EdTech, B2B SaaS products, and leading cross-functional teams
Data Science Manager Nlp at Evisort

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs including Microsoft, TCV, and General Atlantic. Come join us and help us revolutionize a multibillion-dollar industry.


The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data science manager to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.


What You'll Do:

Manage a team of data scientists and align their growth and career development objectives with company’s roadmap and OKRs, and continuously further the Data Science organization
Be a hands-on manager who does not shy away from writing and/or reviewing code or data
Collaborate with your team to effectively develop projects milestones and timelines and ensure timely and high quality delivery of said milestones.
Effectively manage communications with stakeholders and work closely with software and business teams to build, integrate and deliver successful AI in a modern SaaS platform.
Contribute to advancing NLP and its applications, and creating highly innovative products and customer experiences.
Guide design, architecture, tooling and processes at the organization level



Skills/Qualifications:

5+ years Machine Learning experience in industry as an individual contributor, startup experience is preferred
3+ years of experience as a data science manager of high performing teams, startup experience is preferred
2+ years working with deep learning in NLP as an individual contributor or as a manager
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch) and strong attention to code quality
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact


Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Intermediate Ml Nlp Data Scientist at Paper

Paper is looking for an Intermediate Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning and information retrieval. 
In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. you will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Develop, evaluate and deploy ML / NLP techniques.
Mine and analyze data from the company databases to create standardized datasets.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data collection techniques.
Use predictive modeling to improve service delivery, customer experience, and other business outcomes.
Develop custom data models and algorithms.
Coordinate with different functional teams to implement models and monitor outcomes.

Qualifications:

+2 years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field or +4 years of experience in ML development teams.
Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn).
Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob).
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience with putting Machine Learning models into production.
Experience with visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills.
A drive to learn and master new technologies and techniques.
Experience using graph learning is a plus.
Knowledge of GCP cloud computing services is a plus.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
Remote first environment.
Annual company-wide meetup.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
Stipend to help support the growth of your home office.
Unlimited access to tutoring for children of Paper employees.   

#LI-Remote #LI-ST01
Data Scientist at Urgently

YOUR MISSION:  Provide the best roadside assistance experience to drivers in need and dispatch experience to our service providers.  You will build systems to forecast market dynamics, vet and test business ideas using A/B testing framework and improve machine learning algorithms.  As a data scientist, you will identify, execute, and measure improvements to our mobility platform. Working at the intersection of Product, Data Engineering, and Platform Engineering, you will develop impactful data products that shape our product strategy.
YOUR LEGACY: Your legacy is the immense contributions to the foundational machine learning systems in our data pipeline.  As an expert in our proprietary data, you developed product enhancements, strategy and supported leadership in pursuing new opportunities and identifying risks.  Your work accelerated the company's growth, reduced costs and innovated in the mobility space.  The result?  You helped Urgently become the world’s leading mobility assistance company.
WHAT YOU’LL BE RESPONSIBLE FOR: 
Build best-in-class predictive models and decision tools

Identify issues and recommend testable improvements to different aspects of the business


Research & Development in transportation/roadside  industries


Prioritize and balance the data science work and the speed to market for new improvements

Develop Proof-of-Concept ideas using data, data science and human behavior to improve our business processes 

Work with data engineering and infrastructure to get the data you need


Develop algorithms & algorithmic pipeline to deploy into production


Measure the impact of the improvement

Use effective project and product planning technique to distill user requirements into its manageable components

 Be a self starter and manager


Able to work independently and know when to reach out to stakeholders and teams for clarification or help


Work closely with manager and team to align work with business expectations


Communicate findings and quantify the improvements


Success metric = Everyone in the business should see what the development pipeline looks like and how it solves their issues
Data Scientist Argentina at Andela

About the role
Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.
Responsibilities:

Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches
Develop the Minimum Viable Product (MVP) version of the solution
Deploy the solution in production in collaboration with the data, engineering and product teams

Requirements:

Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science
2-3 years work experience applying quantitative methods to business problems
Flexibility in working with a variety of data science approaches
Hands-on with coding, Python strongly preferred
Nice-to-have: proficiency in mathematical modeling

#LI-MV1
Crypto Data Scientist at Token Metrics

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.


Responsibilities

Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.



Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.



About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. 

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Principal Data Scientist at Bolt

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the machine models for Recommendations, Personalization, Risk, and Fraud that powers Bolt. This should be someone with experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Responsibilities

Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build machine learning infrastructure, data pipelines and production ready services to serve live traffic
Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business
Be the go to technical individual contributing leader for all Data related questions, tasks, and projects at Bolt

Requirements

Degree in Computer Science, Computer Engineering, or related field
7+ years of experience building machine learning models for personalization, recommendation, or similar applications.
Thorough understanding of machine learning fundamentals and methodologies
Experience building and deploying machine learning models in an applied setting
Strong understanding of how to build scalable ML systems supporting online and offline applications
Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML
Familiarity with best practices of lifecycle management for ML models in industry
Mastery of a programming language such as Python, Java, Scala

Preferred

PhD in computer science or related field
Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc.
Industry experience in building large-scale recommendation systems in a consumer-based setting.

Check out our Engineering Blog! 
#LI-Remote
Data Scientist at Prizepicks

Join us in our mission to become the most loved fan engagement platform.
About Us: Performance Predictions is a sports technology start-up based in Atlanta that delivers innovative technologies focused on increasing sports fan engagement. With our flagship game, PrizePicks, we set out to build the most fast & simple fantasy sports game possible.
The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
Key Responsibilities:

Data cleaning operations, wrangling and visualizations. 


Develop custom data models and algorithms to apply to data sets.


Selecting features, building and optimizing classifiers using machine learning techniques.


Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications:

Advanced knowledge of machine learning, data analysis and statistical modeling.


Proficiency in statistics and statistical software applications, such as Python or R.


Experience working with relational databases such as PostgreSQL.


Data visualization and report building experience is a plus.


Exceptional analytical and problem solving skills.

Benefits you’ll receive: 
In addition to your competitive salary, medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including:

Break room with ping pong, end endless snacks and in-office lunch once a week.


Unlimited PTO to encourage a healthy work/life balance.


A modern work schedule focused on getting the job done well, not hours clocked.


Company and team outings, we encourage a tight-knit workplace.


Open office layout promotes collaboration, conversation and teamwork to drive results.


Significant opportunity for growth and career development.

Applicants must be authorized to work for any employer in the U.S.  We are unable to sponsor or takeover sponsorship or an employment Visa at this time. 
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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Staff Data Scientist at Sofi

Social Finance Inc. seeks Staff Data Scientist in San Francisco, CA:Job Duties: Develop and test pricing strategies across different consumer lending products that optimizeprofitability through the improvement of revenue, credit risk, and cost per customer acquisition.Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi’scustomer credit portfolio. Build reporting pipelines and dashboards to deliver results of pricingstrategies to the business. Help manage the pricing team’s data architecture by building data pipelinesto extract, transform, and load data from various sources. Build intuitive and analytical models to helpdecision makers understand the price elasticity of customer segments. Run significance tests andcontinuously discover trends in customer behavior to inform decision making with a high level ofconfidence. Routinely present analyses to SoFi business leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Business Administration, Engineering (any field), or a related quantitative discipline, and two (2) years ofexperience in the field of data analysis/ operational research or two (2) years of experience in the joboffered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, BusinessAdministration, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of data analysis/ operational research or five (5) yearsof experience in the job offered.Special Skill Requirements: (1) Python; (2) R; (3) SQL; (4) Tableau; (5) Process Improvement; (6) DataAnalysis; (7) Statistical Modeling; (8) Product Management; (9) Stakeholder Management. Any suitablecombination of education, training and/or experience is acceptable. Telecommuting is an option.Salary: $199,098.00 - $218,500.00 per annum.Submit resume with references to: Req.# 21-14278 at: ATTN: Rae Myles, rmyles@sofi.org.
 
 
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Senior Data Scientist Machine Learning at Sofi

Social Finance Inc. seeks Senior Data Scientist (Machine Learning) in New York, NY:Job Duties: Develop, implement, and continuously improve machine learning models and strategies thatsupport various credit and operational procedures including but not limited to loan processing, loanunderwriting, loss mitigation, and fraud/account takeover identification, etc. Proactively identifyopportunities to apply advanced machine learning approaches to solve complex business problems.Explore and leverage in-house, external, and other open-source machine learning software/algorithms.Collaborate with Model Risk Management team to demonstrate models are developed with high levelrigor that satisfy Model Risk Management and Governance requirements. Work closely with the Productand Engineering teams for model deployment. Perform ongoing monitoring of the models through theconstruction of dashboards and KPI tracking. Present model performance and insights to Credit, Risk,and Business Unit leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Statistics, Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and two (2)years of experience in the field of software engineering/program analysis or two (2) years of experiencein the job offered or Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Statistics,Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of software engineering/program analysis or five (5)years of experience in the job offered.Special Skill Requirements: (1) Machine Learning for supervised and unsupervised learning, includingregression, clustering; outlier detection; novelty detection, nearest neighbors, support vector machines,ensemble methods and boosting, neural networks, and deep learning and its various applications (1year); (2) Python; (3) Databases and related languages and tools including SQL, NoSQL, and Hive; (4)Advanced machine learning approaches, including natural language processing, image recognition, andgraph mining; (5) Model Implementation; (6) Model Monitoring; (7) Statistical models; (8) Data Analysis.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $185,000.00 - $212,750.00 per annum.Submit resume with references to: Req.# 22-128312 at: ATTN: Rae Myles, rmyles@sofi.org.
 
 
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Data Scientist Commercial at Komodo Health

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover 
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package. 
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