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

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

 
We’re looking for experienced data scientists to work with our core product teams, who will take ownership of the team’s data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing. 
 
Teams we’re currently hiring for:
 

Community: the vision for the team is to move Figma from standalone design tools to an ecosystem and platform. This is where our users share, explore, and gain inspiration from one another. We provide the support for creators to thrive with the power of the design community and take their design process to the next level. The ideal candidate for this team will have a wide breadth of technical experience and be excited about tackling data science problems ranging from strategic analytics to experimentation and machine learning for content ranking. 

 

FigJam: this is Figma’s newest standalone product offering, and it’s one of the company priorities this year. FigJam is an online whiteboard for teams to ideate and brainstorm together. The ideal candidate for this team will have exceptional problem solving and storytelling ability, a strong sense of ownership, excellent stakeholder management, and a track record of using data to influence product teams and help them achieve their goals.

 
What You'll Be Doing:


Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and optimize the product experience
Design and evaluate experiments to measure improvements to UI and algorithms
Generate ideas to creatively leverage data for shaping future product roadmaps
Drive democratization of data through creation of new datasets and tooling
Design and surface metrics to guide decision making
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing


 
We’re looking for someone with:



Degree in a quantitative field (Advanced degree preferred)

3+ years relevant work experience
Fluency in Python, R or similar scripting language
Proficiency in SQL

Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)

Breadth of knowledge around statistical methods and experiment design, including A/B testing, sequential testing, synthetic control, cluster-randomized testing
Excellent judgment and creative problem solving skills
A self-starting mindset along with strong communication and collaboration skills


 
Read more about our team:


From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values
Sr Data Scientist Analytics Ads Measurement at Reddit

We are looking for a Senior Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases. 
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining 
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain
Data Science Intern Uk at Sense

NOTE: Candidates applying should be available from July 1st to December 22nd 2022.Sense builds home monitoring technology to help people understand their household energy consumption, know what is going on in their homes, and ultimately reduce their energy footprint.  We help make homes safer, more efficient, and more reliable. We are serious about impacting climate change, and we regularly measure reduction in carbon emissions from our technology.Sense was founded in 2013 by pioneers in speech recognition technologies. This background provides the team with the intuition to unlock key insights relating to home energy efficiency and deliver those insights to customers. We use machine learning technology to provide real-time insights on device behavior. Customers rely on Sense for a wide range of uses including monitoring their home appliances, determining whether they left appliances running, finding faulty appliances, and identifying how to reduce energy costs.We are looking for an intern or co-op to join our Data Science team in 2022. You’ll be diving into messy time-series data, improving our visualization tools, exploring data-driven modeling, and ultimately improving our customers’ visibility into their homes. We are looking for someone who is: Passionate about the energy sector and climate change Eager to work in a young, fast-paced, and exciting startup environment A 3rd year, 4th year, or graduate student working towards a numeric degree: computer science, electrical engineering, applied mathematics, physics, etc. Familiar with classifiers and regressors in machine learning. Experienced in software development in Python. Adept at communication: eager to learn insights from data and present them to the team. Nice to have Experienced in signal processing, time-series / frequency analysis, algorithms, and data structures. Experience with Jupyter notebooks. Experience with software development tools: git, testing, debugging. Experience with deep learning frameworks such as Tensorflow or Pytorch. Benefits Be a part of a team that will make a difference in the world. Gain experience at a startup building a consumer product from the ground up. Work with a small team of experienced entrepreneurs creating revolutionary technology. Deep dive into a wide range of interesting software problems to be solved.
Data Scientist at Hophr

You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.


JOB REPONSIBILITIES:

Research and develop ML learning models and technology to power Neuro-ID products
Data analysis and visualization




REQUIRED QUALIFICATIONS:

2 -4 years experience delivering data science projects analyzing and modeling real-world problems
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
Familiar with Python (pandas, NumPy, sci-kit-learn, etc) and SQL, experience with Snowflake and/or Looker is a plus
Ability to adapt to a fast paced and flexible work environment
Senior Data Scientist Product Analytics Belfast Uk Or Us at Slice

The Product Analytics team is a key part of product development at Slice.
As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Data Scientist who can provide data-driven insights to our leadership and executive team.
You will work on data science and analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.
What you'll do

Work closely with product managers, software engineers, and designers to build and execute a data-driven product roadmap
Define metrics and success criteria for new and existing company initiatives
Work cross functionally with the Finance, and Go To Market teams to drive roadmaps and inform key strategic decisions
Define metrics and utilize dashboards to measure the health of our initiatives
Identify and clearly communicate actionable insights for cross functional stakeholders
Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions

Essential Criteria

MS/MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
3+ years of total experience in a highly quantitative role
2+ years of experience as a data scientist
Working experience in statistics, experiment design and evaluation
Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
Impeccable communication skills and ability to share complex, uncertain results to an executive audience

About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite. 
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 900+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
Assistant Director Data Science at Liberty Mutual

The Global Demand Modeling team has an exciting opportunity for a Assistant Director, Data Science position that will use data science to drive deep understanding of consumer behavior and insurance economics with the goal of improving our pricing and product design across the globe. This role requires creative problem solving and the application of data science techniques to challenging problems, particularly focused on isolating causal relationships in data. This Individual Contributor role will work with both global functions and local market teams.
Responsibilities
Advance the science of Demand Modeling through the research and application of new techniques; identify and leverage synergies between markets.
Build complex models that isolate causality when data includes both random and pseudo-random treatment effects.
Recommend/implement pricing adjustments which consider the holistic impact to the business
Support relationships between global and local teams
Job Specifications:
Reference:  2022-47813
Category: Analytics
Primary Location: Remote
Additional Locations: 
Schedule: Full-Time
Salary: USD-$129,500.00-–-$169,400.00-/-Year
Education Level: 
 Travel: As Needed
Research Scientist All Levels at Convoy

About the team:
Research Science is at the core of Convoy’s platforms. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. We also forecast business metrics, evaluate the causal impact of business decisions, design statistical and machine learning models to optimize our product, and leverage our data to generate insights for our customers. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, experimental design, econometrics, and prediction domains. We have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
You will:

Leverage machine learning and optimization to automate and improve decision making in our core problem areas
Develop and deploy new solutions and improving existing machine learning models (including deep learning, reinforcement learning and tree based methods)
Design and implement scalable automated decisioning systems
Lead research initiatives to drive actionable learnings and ultimately impact for Convoy 
Work on systems that automate our dynamic freight marketplace

We’re looking for someone who has:


Minimum of 2-7+ years of experience developing machine learning solutions
PhD or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field.
Experience using Python and SQL for deploying and maintaining models in production
Experience with machine learning and deep learning toolkits and frameworks
Ability to frame business problems as automated decision solutions
Intelligent but practical; you want to get things done and love simplicity
You’re humble, effective, and biased toward action and learning

Nice to haves:


Experience with two-sided marketplaces (platforms), financial markets and economic theory or driving operational or product improvements through automated decision making
Experience developing mature models and doing the tough research work to unlock value
Experience with Big Data Tools
Data Scientist All Levels at Convoy

About the team: The Data Science team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will: #LI-REMOTE

Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact

We’re looking for someone who has:

Minimum of 2-7+ years of industry experience in Data Science 
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail

Nice to Haves:

Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps
Senior Data Scientist Analytics 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 decisions and organizational storytelling. 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:


Own end to end data pipelines, from data collection to presentation of metrics.
Identify gaps in the product and operational processes, build analytical models to find insights and help drive decisions across the org.
Develop in-depth analysis to answer strategic business questions.
Define best practices and new processes to collect and analyze data.
Communicate and share data in a digestible way with the rest of our organization.
Establish effective partnerships with key stakeholders including Product Managers, Engineers, Designers and Operation Managers.
Be responsible for evangelizing a data driven culture across the board.
Spread knowledge and provide mentorship. 
Consider ethics, equity, security, privacy, and confidentiality, in all work.

Minimum Qualifications:

+6 years of experience in the Analytics and Data Science space.
Proficiency in SQL and Python.
Experience using business intelligence tools (e.g. Sisense, PowerBI, etc.)
Experience with machine learning and operations research.
Excellent attention to detail and highly organized.
Advanced communication and storytelling experience that influences all organizational levels and drives business decisions.
Exhibit grit, high integrity, a team mindset, and an affinity for continuous learning.
Enjoy wrangling real-world complexity into deceivingly simple solutions.
Thrive in a collaborative, diverse environment.

Preferred Qualifications:

Knowledge of NLP techniques to extract insights from text.
Experience building, scheduling and maintaining data pipelines in Scala or PySpark.
Ability to write clean and modular code and work with version control tools.
Ability to create project plans to identify tasks, milestones, and deliverables.
Senior Data Scientist Marketing at Loom

The Role
We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of ourMarketing initiatives (Marketing and Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.  
 
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
 
* We are currently hiring remotely in the United States and Canada
Responsibilities

Measure the impact ofMarketing initiatives (Marketing & Sales) and identify growth and optimization opportunities
Partner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requests
Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Build marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costs
Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
Develop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps) 

What We're Looking For

5+ years of experience in a data science or analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with marketing attribution, lifetime value and churn prediction models
Good business sense, marketing, sales and acquisition domain knowledge
Proficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data sets
Experience with a statistical scripting language (e.g. R or Python)
Experience with a Business Intelligence tool (e.g. Tableau or Mode)
Experience with Google Analytics and the underlying data in BigQuery is a plus
Experience with ETL tools such as Airflow or DBT is a plus
A Bachelor’s Degree in a quantitative field or higher
Senior Data Scientist at Github

GitHub helps companies, organizations, and groups of individuals succeed by allowing them to build better software, together. 
The Engineering organization is looking for a Senior Data Scientist to join the Data Science group and closely partner with our Product organization on building data products and tools to support our broader company strategy and individual product area needs.
You will be able to leverage GitHub’s large, complex data sets to build models and processes that solve difficult, non-routine problems both for our users, and within GitHub. 
This is an individual contributor position with significant growth potential.
Responsibilities:

Collaborate effectively with Product, Engineering, and other members of the Data team on building reusable, scalable, and maintainable technical solutions that can be deployed to production
Identify, design and execute on opportunities for machine learning products to have a high impact on the product and business strategy of the organization
Increase automation, evaluation and stability of the operational footprint for existing machine learning models in production

Minimum Qualifications:

5+ years prior relevant experience
Strong experience building scalable machine learning models in Python (or equivalent)
Experience in using SQL to query and manipulate large data sets for analysis
Experience being an effective contributor in cross-functional teams
Demonstrated leadership and self-direction
Demonstrated effective written and verbal communication skills.

Preferred Qualifications:

Experience with one or more of the following areas: Recommendation Systems, Classifiers, Natural Language Processing models
Experience deploying and maintaining machine learning models in a cloud environment (Azure, AWS, or GCP)
Demonstrated understanding of modern data pipelines and ETL tools, and ability to advise on the impact of different implementations on the data products 

Ability to meet GitHub, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  Microsoft Cloud Background Check: This position will be required to pass the Microsoft, GitHub’s parent company, Cloud Screen upon hire/transfer and every two years thereafter.
#LI-RP
Entry Level Data Scientist at Ibm

IntroductionAs a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Start dates for this role are January 2022 and later
Data scientists are in demand across IBM’s growth areas. If hired, you will be matched to a team based on business demand, location and fit. Join the forward-thinking teams at IBM solving some of the world’s most complex problems – there is no better place to start your career!
What you’ll do as an Entry Level Data Scientist:
You will implement and validate predictive models as well as create and maintain statistical models with a focus on big data.  
You will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, CHAID/decision trees, neural networks and ensemble models.
You will communicate with internal and external clients to understand business needs and provide analytical solutions.
You will use leading edge tools such as COGNOS, Watson Studio and Watson Machine Learning.   
You’ll work in an agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Who You Are:
You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
You thrive on teamwork and have excellent verbal and written communication skills.  
You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.
You have an interest in, understanding of, or experience with Design Thinking and Agile Development methodologies.
For more information on our other Entry Level opportunities, please visit here.
These are office based positions in IBM locations including the following. Opportunities in these locations will vary based on demand & will be deleted as filled:
CA – San Francisco, San JoseCT – SouthburyGA – Brookhaven, Sandy SpringsMA – Andover, Cambridge, LowellNY – Armonk, NYCNC – Research Triangle ParkTX – Austin, Dallas
Required Technical and Professional Expertise
Understanding of statistical programming in a language such as Python, R or SAS
Experience with programming/scripting in Java, Python, etc.
Preferred Technical and Professional Expertise
Knowledge of statistical concepts such as regressions, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights
One or more internship or co-op experiences
Data Scientist at Opensea

OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs, which are digital goods endowed with property rights. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. NFTs have brand new properties that go beyond traditional digital items: they’re unique, provably scarce, liquid, and usable across multiple applications. At OpenSea, we're excited about building a brand new economy from the ground up based on true digital ownership and are proud to be recognized as  Y Combinator's #27 ranked top private company.

When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We're looking for an experienced and entrepreneurial data scientist to develop insights and frameworks that guide the product roadmap, understand causal inference of products we roll out, and build models that help elevate our business at scale. This individual will be the first data science hire at Opensea.

Responsibilities
- Define the right metrics to measure the success of the product/ marketplace and the business.
- Performing quantitative analysis and building dashboards that informs product roadmaps and diagnoses the health of the business across our marketplace.
- Contribute to experiment design and interpret the results to draw detailed and actionable conclusions.
- Building machine learning models that help improve our customer experience and enhance operations.
- Working with data engineers and rest of the engineering team to build data stack and data pipelines.

Desired Experience
- 5+ years of experience in data science/ data analytics fields.
- Experience in SQL, Python/R, Airflow, Looker, and Spark.
- Strong quantitative background and experience with statistical analysis.
- Strong cross-functional skills and ability to operate under ambiguous and fast moving problem spaces.
- Potential to grow into a leadership position as the team expands.
- (nice to have) A passion or growing interest in decentralized technologies.
- (nice to have) An understanding of the basic mechanics of blockchain applications and dApps.
Senior Data Scientist at Moonpay

The Team ❤️
Our newly formed data team is here to build up and serve a best in class data platform to the whole company. This is a greenfield project so you will be able to play your part in key decisions and our strategy from the outset. 
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀

Deliver real impact to MoonPay’s mission by taking complex business problems and helping solve them through data-driven solutions
Build, test and deploy models to solve business challenges around fraud, compliance, customer lifetime value, customer churn
Contribute to designing our data science platform for model training and experimentation
Collaborate with data engineers, analysts and scientists to improve our overall data ecosystem and enforce best practices across the team and department

As a Senior you will be expected to

Mentor and coach other members of the team
Contribute to our overall approach and standards within the Data team

You should apply if ✅

You have excellent SQL skills
You have experience working with Python
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have the ability to clearly communicate complex results to both technical and non-technical audiences
You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly 
You are proficient in English, both written and spoken
You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company

Bonus points if

You have previous experience working in FinTech
You have knowledge of cryptocurrency

Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.

Logistics 🛠 

Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:

Initial screen (30-45 minutes)
Remote take-home task 
Final interview (2 hours)

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
Data Scientist at Sofia

About SofíaAt Sofia we want to change the way millions of people take care of their health by offering a health plan that is more complete, simpler to understand, and closer to anyone who wants to live a healthier life. We want to build a thriving community that deeply changes the way the health system works.About the roleAs a Data Scientist at Sofía, you will be positioned to significantly impact the lives of millions of people and you will be continuously exposed to strategic discussions and decisions.Responsibilities Use qualitative, analytical, and predictive methods to understand how our Soci@s can improve their health while engaging with our product in a meaningful way. Discover, understand and structure different data sources into clean data models that unlock self-service analytics. Define, implement, and monitor key performance metrics for all teams across Sofía. Empower our operation with self-service tools (dashboards, data cubes, etc.) to better understand and serve our Soci@s. Work closely with Product, Engineering & Marketing/Growth teams to help them shape their roadmap and strategic priorities. Design experiments to evaluate initiatives that are live and identify areas for improvement. What We're looking for 3+years of work experience in a quantitative analytical role. Proficiency with statistical software (e.g., R, Python), database languages (e.g., SQL), and code versioning tools (e.g., Git). Proven experience articulating, translating, and solving business problems through data. Self-direction and eagerness to collaborate with other teams (Product, Engineering, Maketing/Growth). Effective written, verbal and visual communication skills. Willingness to both teach others and learn new techniques. Bonus points: Knowledge of health care, health economics, or health insurance. Applied experience deploying machine learning models into production. Experience extracting and manipulating large datasets with tools like Presto or Spark. Postgraduate degree in a quantitative discipline (e.g., Mathematics, Computer Science, Statistics, Economics, Actuary, Operations Research, Industrial Engineering, etc.).
Senior Data Scientist at Recharge Payments

Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Senior Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Senior Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do

Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains. 
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.

Evaluate, recommend, and implement state-of-the-art tools ensuring effectiveness, scalability, and reliability across the entire. machine learning pipeline. 

Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.

What you’ll bring 

Typically, 5+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer) in fast-paced environment
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language 
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field
Data Scientist at Recharge Payments

Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do

Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains.
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.
Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.

What you’ll bring 

Typically, 3+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer) 
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language 
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field
Finance Data Analyst at Blockchain Com

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software at a time.We are growing the Data Team of our Finance Operations. We are looking for a Data Analyst who is looking to roll up their sleeves to help build the infrastructure and processes that will support growth in a fast, yet controlled manner. Reporting to and working with the Global Group Controller, this person is comfortable and confident in a high growth company where structure, procedures, and policy are in development, familiar with a fast pace. and is able to prioritize in building a scalable, efficient data function. 
WHAT YOU WILL DO

Support the development of procedures for data architecture and governance, including reconciliation, gap analysis
Identify relationships and trends of historical and real-time transactions against crypto and cash movements, between entities in Blockchain.com and external parties.
Support Management business decisions with complex data retrieval, transformation, and analysis
Develop and deliver regular and ad-hoc business performance analysis and reporting including cost basis, profitability, financial statement
Enhance overall performance through automation, visualization, mathematical or statistical approach
Work collaboratively across product owners, finance, and other functional teams within Blockchain.com
Manage multiple priorities across a mix of ad hoc and operational projects
Process large amounts of data for statistical modelling and graphic analysis.
Develop data mining methodologies, including OCR, NLP, logistic regression, random forest, xgboost and Bayesian networks
Performs related duties as assigned or requested.

WHAT YOU WILL NEED

The foremost quality for this position or any position at Blockchain.com is integrity.
Minimum of 3 years experience 
Degree in Computer Science, Information Systems Management, Business or related discipline.
Proficiency with data processing and data warehouse / big data environments.
Proficiency with designing data models, defining data architecture schema etc.
Experience in financial services/investment management.
Strong presentation and communication skills when working with internal teams and external vendors.
Excellent  attention to detail and ability to work as a team to identify process improvements.
Capacity to meet deadlines while maintaining quality standards and effective time management
Adapt to a fast-paced continuous learning environment and show a willingness to take on additional responsibility where required.

COMPENSATION & PERKS

Unlimited vacation policy; work hard and take time when you need it.
Apple equipment.
Full-time salary based on experience and meaningful equity in an industry-leading company
US Benefits: Medical, Dental, Vision, 401K, Flexible Spending Account, Commuter, Life, Short Term & Long Term Disability.

APPLICATION

Resume/CV and LinkedIn profile.
Your favorite GIF.
Analytics Data Scientist at Paper

Reporting to the Director of Analytics, this is an individual contributor role that is responsible for designing and developing data enabled solutions that have strategic impact on the business and are built on the latest technologies. This individual will need to balance a strong command of technical skills along with outstanding soft skills so as to communicate with both senior executives and technical team members. 

Responsibilities 


Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights for decision makers


Partner with Data Engineering teams to solve problems, identify opportunities, and build data infrastructure


Analyse data independently to deliver insights about operational performance and proactively drive improvements


Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings


Effectively plan and collaborate with functional teams (Product, Service, Revenue) on data driven initiatives to solve complex operational problems


Collaborate with operations and data-focused teams within and functional areas of the business to solve problems, develop solutions and share insights


Apply data expertise to successfully support cross-functional operational needs


Build Reporting tools for different functional areas of the organization for self-serve options


Query, transform, analyze and communicate findings effectively to answer ad-hoc analytical needs


Drive data strategy in a continuous improvement framework by working with Data professionals


 
Qualifications


BA/BS/MS in a quantitative field; Full Time diplomas in Data Science is an applicable option


3 - 5 years of experience data, reporting, analytical problem solving


Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ


Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)


2+ years hands on experience in SQL, Python, R, and other languages


2+ years of experience in project managing data-centric projects

2+ years experience supporting  fast-paced company growth through Data 

Strong communication skills with experience explaining technical concepts to technical and business partners


 
Nice to Have's 


Hands on experience building Interactive Visualizations such as Tableau, Mode, Google BQ.


Hands on experience in Programming Languages such as Python, R or any other programming languages


Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ


Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)


Ability to make impactful presentations


Demonstrated experience collaborating with multiple stakeholders across functions and time zones


Working experience within operational ecosystems


Position can be located in any geography in the US or Canada.
Senior Data Scientist at Legion

Legion Technologies is looking for a Data Scientist who will join  our data science team. The ideal candidate has built time series forecasting models in the past. S/he must have strong experience using a variety of data mining, data analysis and machine learning methods, using a variety of data tools, building, implementing and evaluating models, using and creating algorithms and building forecasting and predictive models.
Responsibilities:

Work with the leadership on current solutions and initiate new approaches.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Building competitive predictive models.
Develop processes and tools to monitor and analyze model performance and accuracy.

Qualifications:

Strong problem solving skills.
Experience using statistical computer languages (R, Python) and ability to build machine learning models in these languages.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages and drawbacks for different solutions.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 2-5 years of experience manipulating data sets and building statistical models, has a Master’s or PhD. in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

Coding knowledge and experience with python.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees.
Experience querying databases and using statistical computer languages: R, Python, SLQ.
Familiar with: Redshift, S3, Spark.
Familiar with deep learning techniques such as RNN, LSTM, GRU.
Familiar with Map/Reduce, Hadoop, Hive, Spark, MySQL.