nathansutton/data-science-job-descriptions huggingface dataset:
Director Of Data Science Portfolio Management at Mission Lane

You’ll be a successful Director of Data Science on our Data Science Team if:

You have experience applying data science to credit risk management and are excited to optimize a multi-billion dollar portfolio that’s growing every day
You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
You are more motivated by practical solutions than theoretical elegance
You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates

 
We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

 
You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification

 
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Senior Data Scientist at The Public Health Company

We are seeking a Head of Data Science to lead our Data Science efforts in building a scalable intelligence layer for our company.
ROLE DESCRIPTION
In this role, we are seeking a highly skilled and experienced Senior Data Scientist with expertise in weather or climate modeling, geo-spatial data analysis, or risk management to join our team. The ideal candidate will be responsible for developing and implementing data-driven solutions that forecast impacts of environmental threats and help customers identify moments when action is needed to protect their assets.
Responsibilities include: 

Understand existing models and data in the market;
Develop, implement, and evaluate advanced algorithms and statistical models for biorisk data analysis, including weather and climate data
Collaborate with cross-functional teams, including data engineers and software developers, to design, develop, and deploy data-driven solutions for biorisk management
Collaborate with Subject Matter Experts on the development, maintenance and improvement of models and algorithms.
Conduct research on new and emerging data science techniques and methodologies and recommend best practices to the team
Write, document and maintain testing code in Python, R, Pyspark, and SQL
Support engineering in the production of standardized, scalable models & pipelines.
Highly collaborative team work 

In addition, this role will be responsible for other ad-hoc duties as assigned.  
REQUIREMENTS

Bachelor’s degree and at least 8 years of Data science methods including predictive modeling, data cleaning and manipulation, and OR
Strong knowledge of statistical analysis, data visualization, and machine learning algorithms
Experience with GIS and geospatial data analysis
Excellent written and oral communication skills, including the ability to present complex technical findings to non-technical stakeholders.
Strong programming skills in Python or R and experience writing production-quality, maintainable code.
Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.

WHO WE ARE
PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.
COMPENSATION AND BENEFITS
Total compensation includes salary and stock option grants. The salary range for this position is between $150k to 215k, and individual pay is determined by job-related skills, experience, and relevant education or training. PHC offers a comprehensive benefits package including medical, dental and vision insurance, wellbeing offerings, 401K, unlimited PTO, paid holidays, and a work from home stipend. PHC covers 100% of medical premiums for employees and 50% of medical premiums for dependents.
The Public Health Company is proud to be an Equal Opportunity Employer.
Lead Data Scientist Deep Learning at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with Reinforcement Learning, Deep Learning, knowledge in AI,      and DL modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to write      complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. Experience with supply chain/retail      forecasting is a must.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Staff Data Scientist Core Experience Analytics at Reddit

Location: US remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. 
We are excited to bring a Staff Data Scientist to work with our Core Experience team! This team focuses on the user experience across Reddit’s main engagement and discovery surfaces. These include our feeds (home, popular, news, and others) where users find content from across the platform, and our post and video pages where users can dive into the conversations.
As the Staff Data Scientist embedded on the team, you will uncover insights on how users consume content and engage across these surfaces, and partner with product and engineering teams to drive impact from those insights through creating new features or modifying the existing user experience. You will be one of the most senior individual contributors on the team and will help lead all parts of the product lifecycle from setting strategy, driving execution, measuring results, and using learnings to inform future decisions. You will also work closely with data scientists from other pillars, including experimentation, feeds ranking, and growth to ensure our priorities and strategies are aligned with the broader organization.
Responsibilities:

Help build the long term product vision and strategy for feeds and post detail pages to simplify the user experience and enhance engagement.
Design and measure metrics that help evaluate the health of the business and the success of our products, including ETL development needed for consistent and robust analysis
Build self-serve tools for product and engineering partners that help scale data science impact and increase data literacy in the organization
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product features to understand the effectiveness of product strategy
Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems

Required Qualifications:

Have proven experience in data science and/or product analytics roles (6 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and the preferred programming languages of the team (R / Python)
Have a strong customer and business focus
Entrepreneurial, self-directed, and enthusiastic about solving problems
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation (please use them!) & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

#LI-Remote #LI-NH1
Senior Director Data Science at New Relic

Your opportunity
We are searching for a highly capable and experienced Senior Director of Data Science to lead our Analytics and Data Science team. Our preferred candidate will be a strong hands-on business and technical leader with a strong background in the areas of data analysis, programming and statistical modeling. As the Senior Director, you will play a critical role in helping our business make data-driven decisions, providing strategic leadership and demonstrating the power of data science to drive business performance, innovation, and growth.
What you'll do
Lead, inspire, and develop an impactful data science team through strong mentoring, coaching, and vision.Partner with business collaborators to understand their challenges, and design strategies and scalable solutions to tackle these challenges using data.Establish and implement end-to-end data science project goals and schedules.Build and maintain machine learning models, forecasting tools and algorithmsDeliver practical insights to business leadership through complex data analysis.Foster a culture of fast data driven experimentation and iterative learning.
This role requires
A master's degree in Statistics, Data Science, Computer Science, or a related quantitative field; a Ph.D. is preferred.A proven experience of 12+ years in a data science role, with at least 7 years of leadership experience.Strong understanding of machine learning models, data mining, and statistical theory.Experience with data science programming languages such as Python, RDeep knowledge of SQL and experience with big data tools and platforms such as Databricks, Snowflake etc.Proven experience implementing and scaling data science capabilities in an organization.Exceptional skills in problem-solving, project management, and team leadership.Excellent oral and written communication skills with the ability to present complex statistical concepts to non-technical collaborators.
Bonus points if you have
Ph.D. in Statistics, Data Science, Computer Science, or a related field.Prior experience in the field of ObservabilityExperience in the field of observability Track record of developing and productionalizing data products
Senior Data Scientist at New Relic

Your opportunity
We are seeking an experienced and dynamic Senior Data Scientist to join our team. This is an exciting role! You will be primarily responsible for driving data science focused projects and will redefine ambiguous business problems into clear, concrete insights as well as productionalizing insights. Our ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product optimization.
What you'll do
Analyzing complex datasets, applying statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression).Designing and deploying data-science and technology-based algorithmic solutions to address business needs.Collaborating effectively with internal collaborators, understanding their needs and being able to communicate data-driven recommendations.
This role requires
5+ years proven experience as a Data Scientist, or in a similar role.PhD or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field. (PhD preferred)Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, classification, regression, and time series analysis.Proficiency with data analysis tools and languages ( Python, R, SQL) and with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.).Strong problem-solving abilities, intuition for business, and excellent communication skills.Ability to work independently and with minimal direction.Shown ability in handling and delivering on multiple, contending priorities.Prior experience with managing collaborators and ability to present complex data in a clear manner to non-technical audience.
Bonus points if you have
Proven track record to translate business needs into data science / analytical initiatives.Experience in Observability is a plus
Senior Data Scientist at Karat

Come join our Artificial Intelligence team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency. 
What you will do
As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data and providing actionable recommendations for innovative products we can build as we continue to grow and scale. Collaborating with a small team of Software Engineers, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.

Contribute to Karat’s AI strategy and initiatives by creating a suite of AI product enhancements that will help to further establish Karat as a thought leader in AI for technical hiring.
Collaborate in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
Nurture conversations within Karat by educating teammates about AI, data science and machine learning.

The experience you will bring

7+ years of tech industry experience in data science, machine learning, AI, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries 
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Director Of Artificial Intelligence at Karat

Come join our AI team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictability, less bias, and previously unimaginable efficiency. 
What you will do
As the Director of AI at Karat, you will drive innovation by extracting critical insights from our data and providing actionable recommendations for innovative products we can build into the Karat platform as we scale. Leading a small team of Engineers and Data Scientists, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
This role requires a proven track record of practical experience in developing and implementing data science and AI solutions, personally leading complex analytical projects, and getting involved in the technical aspects of data analysis.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.

Lead Karat’s AI strategy and initiatives by creating a suite of AI product enhancements and further establishing Karat as a thought leader in AI for technical hiring.
Work in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Partner with company leadership to optimize and build ways in which we can collect richer data about user interactions.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.

The experience you will bring

5+ years of leading teams and relevant data science and AI work experience.
Successful track record in leading teams that built AI and data science models and products. 
Strong data analysis and scientific thinking skills with deep knowledge of statistics and rigorous analytical techniques.
A track record of personally designing and implementing advanced analytics models and solutions
History delivering insights and launching ML models that have provided high-value to the business.
Experience with machine learning, data science and modern data processing technologies.
Product Scientist at Lion Studios

Introduction:
We are looking for a Product Scientist to join our WORDLE! team. In this role, you will work closely with our General Manager to:

Translate business requirements into technical implementations via instrumentation in games to collect necessary data
Collaborate with the team to proactively drive feature roadmaps with data
Collaborate with the team to implement personalization and optimization algorithms that make real-time changes to player experience.
Take ownership over all aspects of analysis for Wordle!, set up new Looker dashboards, help instrument new features, and proactively look for opportunities via data to suggest new feature development or tuning.

Responsibilities:

Setup and manage existing game feature launches with adherence to deadlines (.e.g., event tracking, soft launch intelligence, etc.)
Work with the product team to define the experimentation roadmap
Design, run and evaluate experiments to answer questions about the motivations driving player behavior and how that varies for different segments
Perform exploratory and performance analyses to identify and recommend opportunities for enriching player experiences, driving monetization and creating compelling and entertaining Live Ops events
Perform diagnostic analyses to uncover sources of problematic data and/or unexpected player behavior
Build analytical models for segmenting and describing user behavior to drive decisions and collaborate with Data Scientists to identify opportunities for personalizing and optimizing the player experience
Develop Looker Explores, Dashboards and Looks to empower stakeholders to answer questions autonomously

Required Qualifications:

2 - 4 years of professional experience. Specific experience with social games, mobile apps, and/or cognitive sciences is strongly preferred.
Bachelor’s degree in a quantitative field. Honors thesis or Master’s degree with thesis is strongly preferred.
Experience designing, running and evaluating quantitative experiments 
Proficient with R and/or Python for data modeling and analysis
Proficient with SQL
Ability to be-self sufficient and execute quickly when given autonomy
Flexible team player who will thrive in a dynamic, constantly evolving environment
Excellent English and communication skills

Bonus Points:

Experience with Snowflake
Experience with Databricks
Experience with Looker development
Knowledge of mobile gaming metrics and the mobile gaming industry
Product focused mindset
A passion for games (of any type)

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. The expected base pay range for this position is $92,000 - $141,000. Base compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
Senior Data Scientist at Lion Studios

About the Role:
We seek a Senior Data Scientist to join Lion Studios’ Data Science R&D team! On the R&D team, we conduct algorithmic research for mobile gaming applications, support the Data organisation as a whole with reproducible solutions and mentorship and collaborate closely with two of the five game teams to implement Data Science solutions that maximize the return of user acquisition campaigns, optimize game parameters and personalize player experiences. In this role, you will architect, develop, and deploy Data Science solutions in casual mobile games spanning hundreds of millions of players. You will be responsible for designing, developing and maintaining Data Science products in production, including an early-stage Reinforcement Learning dynamic difficulty system. 
Responsibilities:


Optimizing and Personalizing Games: Collaborate with our Match and New Games game teams to optimize game systems and personalize user experiences. Titles include:  Match 3D (iOS/Android), Match Tile 3D (iOS/Android), Card Shuffle Sort (iOS/Android) and Found It! (iOS/Android).

Developing Data Science Solutions: Research new modelling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team. Develop intelligence systems that layer explainability over Data Science solutions, driving Game Design roadmaps. 

Collaborating Across Functions: Work with the Platform team to generalize solutions for portfolio-wide use, democratizing R&D team successes across the Lion Studios’ portfolio.

Contributing and Mentoring: Contribute modules to an in-house Python/Pyspark library for use by the broader Data organization. Mentor members of the Data organization on Data Science solutions, approaches to experimentation, driving roadmaps, and solving problems.

Promoting a Data-First Culture: Inspire and support a data-first culture across the organization. 


Requirements:

4+ years of experience launching Data Science solutions in Mobile Apps 
1+ years of experience with Databricks, Snowflake and AWS (S3, Lambda) 
1+ years of experience with stakeholder relationship development and project management 
Advanced proficiency with Python/PySpark and SQL 
Advanced proficiency with Reinforcement Learning solutions 
Ability to thrive in a fast-paced environment handling multiple projects (1 large & 1-2 small) 

Bonus Points:

Gaming industry experience

Experience with PyTorch

Experience with model fine-tuning (Hugging Face, Open AI)

Experience developing Python modules for use by others
MS degree or higher in a quantitative field
Background in Cognitive Psychology, Cognitive Neuroscience or Cognitive Science
Strong background in research methods and statistics
Senior Data Scientist Product Analytics at Atlassian

Working at Atlassian
Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)Experience collaborating with senior management and translating insights into decisions and actionsAn knack for crafting raw data and analysis into well-written contentwhile maintaining the highest standard of workProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement
Senior Informaticist Provider Data Analytics at Humana

Description
The mission of the Physician Performance Insights team is to empower Humana members to make informed healthcare decisions. Our key goal is to ensure transparency and help our members obtain high quality, affordable healthcare while keeping our provider networks efficient and optimal. We achieve this through advanced analytics that enables objective evaluation of physician performance related to our two key metrics: Efficiency of Care (cost) & Effectiveness of Care (quality).
Responsibilities
Humana is seeking a Senior Informaticist on the Physician Performance Insights team that leverages their advanced knowledge of data, statistical analysis, problem solving, business analytics, modeling, optimization, and related tools. Utilizes strategic thinking capabilities
Read more about this job
Sr Data Scientist I at Pax8

Position Summary: 
The Sr. Data Scientist I designs, develops, tests, deploys, maintains, and improves comprehensive data science solutions. They deliver individual projects based upon deadlines and required deliverables. The Sr. Data Scientist builds complex models independently and collaborates with other teams to conduct model reviews. They develop and/or provide technical leadership in the development of machine learning models involving the application of new methods with significant technical risk. The Sr. Scientist prepares detailed plans, which may span over a year for complex projects. They determine model philosophy, goals, and objectives, and participate in the formation of project goals, scope, and schedule.
Essential Responsibilities:

Develops comprehensive data science solutions 
Architects and builds machine learning infrastructure, deployment, and monitoring 
Mentors junior and mid-level Data Scientists 
Includes testing in all aspects of the development process 
Participates in project planning and architecture discussions 
Leads the adoption of new data science techniques and technologies 
Works with stakeholders to determine the desired feature set and develop stable and scalable solutions 
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects 
Analyzes potential problems and finds solutions to pressing data issues 
Participates in on-call rotation 

Ideal Skills, Experience, and Competencies:

At least four (4) years of relevant data science experience
Advanced experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Expert experience with SQL
Intermediate experience with Apache Spark or other distributed processing engines
Advanced experience with supervised and unsupervised machine learning models
Advanced experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances
Effective technical leadership abilities
Excellent verbal and written communication skills
Experience with innovative application design and implementation
Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems

Required Education & Certifications:

M.S./M.A. degree in a technical field; or equivalent work experience
Ph.D. degree in a technical field preferred

Compensation:



Qualified candidates can expect a salary beginning at $140,000 or more depending on experience



#LI-Remote #LI-JF1 #dice-J
Data Scientist Ii at Pax8

Position Summary: 
The Data Scientist II develops comprehensive data science solutions, including data extraction, preprocessing, machine learning, and interoperability with other Pax8 products. They mentor junior level Scientists and collaborate with other functional groups to conduct model reviews.
Essential Responsibilities:

Develops comprehensive data science solutions
Develops machine learning infrastructure, deployment, and monitoring
Mentors junior level Data Scientists
Includes testing in all aspects of the development process
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
Analyzes potential problems and finds solutions to pressing data issues
Participates in on-call rotation

Ideal Skills, Experience, and Competencies:

At least two (2) to six (6) years of relevant data science experience
Intermediate experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Advanced experience with SQL
Moderate experience with Apache Spark or other distributed processing engines
Intermediate experience with supervised and unsupervised machine learning models
Intermediate experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances

Required Education & Certifications:

B.A./B.S. in related field or equivalent work experience
M.S./M.A. in related field or equivalent work experience preferred

Compensation:



Qualified candidates can expect a salary beginning at $125,000 or more depending on experience



#LI-Remote #LI-JF1 #Dice-J
Senior Data Scientist at Sofi

The Role
We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting our partnerships business unit, SoFi Protect-At Work-Lantern. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. 
What you’ll do:

Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions. 
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics. 
Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports. 
Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams. 
Build self-service systems to enable others in the organization to leverage your work. 
Analyze and perform statistical analysis on data that underlies product experiments.
Build models to help decision makers understand customer behaviors and segmentation
Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast. 

What you’ll need:

Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 
3+ years of relevant work experience 
Intellectual curiosity and aptitude to pick up new technical skills 
Exceptional problem-solving skills
Ability to initiate and drive projects to completion with minimal guidance 
High EQ with ability to influence outcomes and communicate technical content to general audiences 
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
Experience with using Airflow/DBT to build Data Pipelines in Snowflake
Senior Data Scientist at Muckrack

We’re looking for a senior data scientist to join our quickly growing team and make a big impact.
As a senior data scientist in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience. 
To be set up for success in this role, you’ll need to have:

5+ years total professional experience with Machine Learning or Statistical Analysis
A capacity for a high degree of autonomy and out-of-the-box thinking
The ability to write sophisticated data analysis & machine learning code in Python
A commitment to collaborating closely with other engineers and across functions

If any of the below also describe you, this could be an exciting opportunity:

Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
Experience with text modeling, NLP, and large language models
Interest in search
Interest in journalism, news, media, or social media

In addition, we’re always looking for candidates who:

Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
Research and evaluate new analytical methodologies, approaches, and solutions
Build, test, and deploy supervised or unsupervised learning models
Write queries (SQL, elastic search) to grab the right set of data to solve their problem
Build tools to enable other data scientists to scale their knowledge and increase impact
Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
Participate in code reviews and model reviews of their teammates

Interview Overview
Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

30 min interview with a member of our Talent Team
1 hour zoom interview with the hiring manager
Take-home coding assignment (2 hours max)
Peer interviews, including a 30 min code review discussion
Final call(s) with executive team member(s) 

Salary
The starting salary for this role is between $140,000 - $172,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.
Lead Data Scientist at Natera

POSITION SUMMARY: 
The Lead Data Scientist is a member of the Bioinformatics group.  Participates in the design and prototyping of cutting-edge algorithms for analysis of genetic data.  Perform data analysis, contributes to our intellectual property portfolio, and interacts closely with our molecular biology team to guide and analyze experiments.
PRIMARY RESPONSIBILITIES: 

Independently lead the development and optimization efforts within the Oncology Bioinformatics group for design of high-throughput assays built on next generation sequencing platforms.
Move products through the full development process, from research through commercial launch.
Drive rigorous data analysis effort and support group efforts toward high quality documentation.
Leverage accurate probability models to build the next round of algorithms and products.
Help develop and guide molecular biology experiments.
Contribute to our intellectual property portfolio. 

QUALIFICATIONS: 
Requirements:

Ph.D. in applied math, statistics, engineering, or equivalent.
Minimum of five years of post-PhD industry experience.
Minimum of five years of experience in data analysis using software such as Python, MATLAB or R. Could be replaced by extensive experience in a procedural language such as C++.
Minimum 3 years of experience with next-generation sequencing technology and assay development.
Foundation in probability theory and estimation/classification methods.
Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
Experience with a database query language such as SQL.
Excellent communication skills and the desire to work in a dynamic and collaborative environment
Employee must pass post offer criminal background check.

Desirable, but not required:

Understanding of CLIA standards and FDA testing guidelines is a plus.

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Data Scientist at Kickstarter

Kickstarter, PBC is seeking a Data Scientist to join our Insights team. This is a crucial part of our analytics and data science function at Kickstarter and a full-time remote position.
 
About the Team:
Kickstarter's Insights team is a collaborative group of people who are passionate about using data and research to help bring creative projects to life. Our team’s mission is to provide the organization with robust information, analyses, and insight to inform and assess Kickstarter’s strategic objectives. Our team’s objectives include:

Democratizing data access across the organization and providing tools and training to support data-informed decisions;
Acquiring and synthesizing all relevant information about our ecosystem, the creative landscape, and our users, to provide high quality strategic advice to decision makers at all levels of the organization;
Raising the quality of data in our system, including improving our data infrastructure and modeling, and utilizing a variety of research methodologies to understand our users and their experiences.

To achieve this we will seek to use the most up-to-date data, analytical techniques, and appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable and actionable information through research, reporting, dashboards, and analytics. We value peer feedback, continuous learning, and blameless post-mortems. We prefer proven technology and have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit.
 
The salary range for this role in the United States is $145,000 - 165,000. 
About the Role:
We’ve developed cutting-edge infrastructure to help us collect and aggregate data from our production applications, largely built on AWS. A primary component of your job will be querying and analyzing that data, which will require extensive SQL knowledge. For more advanced analysis you’ll be working with tools like Python and R to explore and visualize data. You will mine the data ecosystem to find fruitful signals and develop and deploy performant algorithms. Your insights and wisdom will be essential to how Kickstarter evolves, lead to new data products, and your expertise will guide us as we learn new things every step of the way.
Your background should include experience using your data skills day-to-day as well as a healthy understanding of the product development lifecycle. Ideally you are adept at using statistics to separate signals from noise and completely at ease communicating the story behind the data.
About You:

You are a SQL expert and are at ease wrangling large datasets
You are proficient in Python and whatever other tools you prefer for analysis
You have a solid command of the statistics required to do data science on the web
You value communicating insights concisely, accurately, and meaningfully to a diverse audience
Experience with dbt is a strong plus
Data Scientist at Evolve

Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for building  machine learning products using a combination of modeling, software development, exploratory analysis, and data strategy to transform how a business domain is able to operate.
Come join our fast-paced growth-stage culture working alongside other talented data professionals in an environment that invites and necessitates professional growth and learning while enjoying the support of a well funded company - we’ve raised over $235M in investment capital from world-class investors like Durable Capital, T. Rowe Price, and Allen & Company.
What you’ll do

Build, deploy and monitor machine learning models and algorithms that have a sustained business impact 
Develop software that allows new models to be reliably deployed and monitored
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices 
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences 

What makes you a great fit

5+ years of experience in data analytics and 2+ years of data science work 
Related technical bachelors, masters, or doctoral degree preferred 
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high quality, well-documented, and well-tested  code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities 
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders

Location 
We currently are able to hire throughout the U.S except in the following states: District of Columbia, Hawaii, and Pennsylvania. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both! 
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Compensation
For this role our salary range is $106,000 - $130,000, depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
Additional compensation details: 
Equity: 50% of salary equivalent RSUs
Variable comp: 10% of salary target
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