nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist Underwriting Analytics at Coalition

About the Role
Coalition is looking for a data scientist to join our rapidly growing data science team to find a solution to underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us identify and improve our underwriting system. you will be accountable for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing further automation opportunities.
 
This role requires an aptitude to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company. 
Responsibilities

Evaluate our current underwriting practices and compare them against industry trends
Assess intricate processes and workflows to identify and implement improvements to increase productivity and improve cycle time.
Assist reporting, analytics, and machine-learning needs of the entire Underwriting team
Proactively drive conversations with key business stakeholders to drive continuous underwriting improvements
Guide the company's underwriting + pricing KPIs, assessments, and data visualizations
Assist the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems
Create and maintain documentation that will assist the effective implementation of repeatable processes and workflows
Spread data science top practices to both data science and underwriting team

Skills and Qualifications

2+ years of experience in a professional analytics / data science capacity
Experience writing SQL queries to extract and prepare data for modeling and assessments
Strong logical skills with the experience to collect, organize, assess, and disseminate significant amounts of information with attention to detail and accuracy
Experience to think objectively and interpret meaningful themes from quantitative and qualitative data
Experience to build constructive and effective relationships with a broad and diverse group of business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong communication skills and aptitude to convey intricate topics to non-technical audiences
Passionate about subjects such as experimental design, data visualization, and statistical assessment techniques

Bonus Points

Experience working in Tableau/Looker or similar data visualization tool a big plus
Experience within the insurance or financial services industry, with a focus on underwriting
Experience with Python or R
A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field
Associate Director Analytics Consulting at Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Work directly with client stakeholders to translate business problems into high level analytics solution designs Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution  10-14 years of professional work experience with at least 5 years in data analytics Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Solid understanding of statistical and machine learning algorithms Strong project management and team management skills and ability to work with global teams Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business Analytics or MBA or equivalent work experience Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Staff Data Scientist Feeds Ranking Analytics at Reddit

Location: 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 open a new Data Scientist role within our Feeds Ranking Team! This team builds the experience of Reddit Feeds, by building and improving the systems that decide what content each user gets to see when they land in Reddit.
As the Staff Data Scientist embedded on the team, you will define the product strategy through measurement design, experimentation and causal analyses and support product decisions that will keep making Reddit the best place to hang out online. 
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help drive community growth and discovery, and user participation and engagement.
Responsibilities:

Help build the long term product vision and strategy for the ranking and personalization function.
Become the expert at understanding how our recommendation systems work, and what their effects and outcomes on business metrics and the ecosystem of communities is.
Build out ML capabilities, features and offline models.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product feature experiments to understand the effectiveness of product strategy
Work cross functionally with a variety of teams that feeds ranking serves.
Scale your work through reproducibility to make it extensible to newer personalization problems

Required Qualifications:

Have proven experience in quantitative or data science, or product analytics roles (6 or more years)
Have worked with teams leveraging Machine Learning for ranking or related roles
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have a strong customer and business focus
Entrepreneurial and self-directed
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:

Annual Personal & Professional development funds
401k Matching Plan
Flexible PTO
Paid holidays + Wellness days

#LI-Remote #LI-NH1
Senior Actuarial Analyst PC at Lemonade

We’re looking for a senior-level actuarial analyst with a passion for data and insurance.
In this role, you’ll be managing rate levels, building advanced pricing tools, and bringing actuarial discipline to all kinds of questions — from distribution to underwriting, claims, and everything in between. You’ll also leverage competitive data and data science to optimize our customers’ experience and ensure fairness and accuracy in pricing.
In this role you’ll 
Become an owner and expert on our insurance state rating plans and rate indications
Contribute to predictive modeling projects while working closely with the Data Science team
Craft rate filing support for new machine learning models
Identify areas for pricing and underwriting action based on ongoing monitoring of results
Build a knowledge base of competitor rating strategies and the overall competitive landscape
Further your own actuarial education through CAS exams and industry research while applying those learnings on the job
What you’ll need
3 years of P&C actuarial experience; near ACAS or greater preferred
Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related degree
General knowledge of data science programming languages such as R or Python (preferred), and proficiency in database query tools such as SQL
Familiarity with predictive modeling concepts, including supervised and unsupervised machine-learning approaches (GLMs, decision trees, gradient boosting machines, random forests, clustering, etc.)
Sensitivity to model transparency/ethics
Data Scientist Sales Support at Sentilink

SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better. 

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.

As a Sales Support Data Scientist at SentiLink, you will be responsible for our pushing through pilot studies. Pilot studies are the way a financial institution is introduced to our fraud score products -- by securely sharing past accounts with us, we process data, run it through our API, and quickly generate analysis to explain how much fraud SentiLink’s solutions will stop. As such, your work will be the first encounter financial institutions have with SentiLink’s products. SentiLink is growing rapidly and you will be a core component of enabling that growth.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

This is a remote, US-based role.


Responsibilities:

Clean, QA, and process through our API millions of applications a month
Develop Python scripts, write SQL queries, working with data scientists and engineers
Analyze and visualize fraud rates, trends, and product performance, collaborating with sales and the go-to-market team
Develop automation for faster processing and safer QA 
Coordinate across different teams to handle time-sensitive activities
Support partner success with analyses
Improve product monitoring, including performance, calibration, and latency



Requirements: 

Python experience
Master’s or Undergraduate degree in STEM field, or additional relevant experience
Internship experience, including numerical or programming work
Comfort with probability and developing statistical analyses
Detail oriented: someone we can trust to create work shared directly with our partners
Motivated and excited to work in a fast-growing startup
SQL experience preferred
Candidates must be legally authorized to work in the United States and must live in the United States



Perks:

Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
We pay for healthcare for you and your dependents
. . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)



Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
Data Scientist Us Design at Liberty Mutual

Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team.  These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication.  You will use machine learning, predictive analytic techniques, and languages/software such as Emblem, SQL, SAS and Python.  These roles work collaboratively across Product Design and Modeling in the US.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
Potential for up to 10% travel 
Remote work available
Job Specifications:
Reference:  2022-51624
Category: Data Science
Primary Location: Remote
Additional Locations: 
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level: 
 Travel: As Needed
Data Science Internship Graduate Summer at Liberty Mutual

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
It’s a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.
The details
Calling all aspiring data scientists! Here’s the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software.
In the 10-to-12-week Data Science Graduate Level Internship, you’ll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions.
At the conclusion of your summer internship, you’ll deliver a presentation of your work and skills to your colleagues and the data science management team.
The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston, Chicago, and Seattle offices.
Job Specifications:
Reference:  2022-50361
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$42.50-–-$52.50-/-Hour
Education Level: Master’s Degree
 Travel: As Needed
Data Scientist Senior Or Lead Neural Networks at Progressive

As a Senior/Lead Data Scientist, you’ll join a team of highly skilled data scientists working on a broad range of business problems within our Claims Advanced Analytics team. With a focus on helping improve the accuracy and efficiency of our Claims handling processes, you and your team will support an agenda focused on generating millions of dollars of incremental value - specifically in the 'fixing cars' space inclusive of estimatics, triage, and claims routing. You’ll use your experience working with machine vision and neural networks to solve complex problems and handle large and varied data sets to create smarter and more personalized claims experiences for our talented claims representatives and more than 20 million customers. Remote Work Allowed.
Must-Have Qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Proficiency in SQL and one higher level programming language (e.g., Python or R)
Experience in machine vision/neural networks
Ability to communicate technical findings to a wide range of audiences
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Experience with terminal/shell script 
Experience with version control tools (e.g., GIT) 
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-REMOTE
Pricing Analyst Senior at Progressive

As a pricing analyst senior on the Commercial Lines team, you’ll collaborate with leaders in maintaining and advancing statistical methods for our core commercial auto product.  You’ll have the opportunity to design, test and implement new direct and ceded pricing models and diagnostic reporting in support of commercial lines growing reinsurance program. This is a great opportunity to be part of a multifaceted team with the ability to gain exposure to senior business leaders.  Remote work allowed.
Must-have qualifications
Bachelor's degree or higher in a quantitative field of study and a minimum of three years of analytical work experience
Instead of a quantitative degree, a bachelor's degree or higher and a minimum of five years of analytical work experience
Instead of a degree, a minimum of six years of analytical work experience
Preferred skills
Prior exposure of advanced statistical techniques and their application to modeling of frequency and severity cost components.  Formal hypothesis testing of data possibly displaying serial correlation and heteroscedasticity is a plus.
Experience hypothesizing, designing, creating, and implementing data flows to support pricing analytics - from data acquisition to final exhibits supporting recommendations.
Advanced skills with established statistical software, like R or SAS – specifically, programming simulations, superior data visualization techniques and the efficient programming of necessary statistical tests.
Thorough understanding of relevant Actuarial principles and methods.  Certification in the CAS is not required.  If the selected candidate is working toward certification in the CAS, then they will be supported through the corporate Actuarial Study program.
Experience with reinsurance is a plus.
Compensation 
$66,300 - $95,000/year
Gainshare bonus up to 30% of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations 
Equal Opportunity Employer
 
Sponsorship for work authorization for foreign national candidates is not available for this position.
 
#LI-Remote
Data Science Undergraduate Internship Summer at The Home Depot

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
Manager Online Data Science Recommendations at The Home Depot

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
Data Science Manager at The Home Depot

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
Principal Data Scientist Online Visual Ai at The Home Depot

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
Manager Sr Manager Analytics Consulting at Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights  Ability to break down a project into specific tasks involving business analysis, data science and engineering Direct teams of business analysts to create data driven solutions Architect data analytics frameworks and solutions to solve data driven business problems Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Extract, transform and organize the data into datasets using tools like SQL Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc. Report the results and insights using business intelligent tools Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions Being able to effectively communicate with and manage expectations across stakeholders   6-10 years of professional work experience with at least 5 years in business data analytics Experience working with large data sets is preferable (with an emphasis on business analysis problems) Experience of working with offshore teams Bachelor's degree in business administration or a closely related field. MBA preferred Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Strong project management and team management skills and ability to work with global teams Strong SQL skills and excellent knowledge of visualization tools like Tableau Knowledge of statistical and machine learning algorithms Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Senior Data Scientist at Spokeo

Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 18 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.
We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.
Responsibilities:
Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
Create automated anomaly detection systems and quality assurance metrics to constantly track performance.
Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
Communicate best practices in quantitative analysis and develop cross-functional partnerships.
Keep up to date with the latest technology trend to apply them to our business challenges.
Perform Ad-hoc analysis and present results.
Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to effectively communicate insights.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file and 2) being assigned to the open position (as a search) via our applicant tracking solution.
Lead Data Scientist Dl Ai Modeling Forecasting Canada 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 Data Scientist preferably, with a Ph.D. who holds solid knowledge of 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 in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep 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 demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional 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 Invest at Sofi

Social Finance, Inc. seeks Staff Data Scientist, Invest in San Francisco, CA:Job Duties: Create data driven solutions for amazing product and business managers to identify strategicopportunities, measure product KPIs, build experiments, and drive informed actions. Statistical analysisof customer behavior metrics, such as funnel conversion, user churn, invest product featureengagement, unit economics and cross-sell metrics. Work with product and marketing partners todesign A/B tests & machine learning models to improve these metrics. Own end-to-end productanalytics workflow including metric definition, engineering instrumentation, database transactioncapture and analytical processing. Build data structures and ETL pipelines to transfer data intoSnowflake data warehouse. Act as a curator of data by defining, instrumenting, and tracking necessaryanalytics of our products by working cross functionally with engineering and product teams. Buildscalable machine learning solutions to predict user behavior and make personalized & relevantrecommendations to users. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Business Analytics, Engineering, orclosely related quantitative discipline, and two (2) years of experience in job offered or related field, ORBachelor’s degree, or foreign equivalent, in Business Analytics, Engineering or closely relatedquantitative discipline and five (5) years of progressively responsible experience in job offered or relatedfield.Special Skill Requirements: (1) SQL; (2) Python; (3)R Programming; (4) Big Data Tools; (5) AWS Full Stack;(6) A/B Testing; (7) Data Visualization; (8) Machine Learning; (9) Recommender Engines; and (10) AirflowAutomation. Any suitable combination of education, training and/or experience is acceptable.Telecommuting is an option.Salary: $197,600.00 - $227,240.00 per annum.Submit resume with references to: Req.# 22-19039 at: ATTN: Rae Myles, rmyles@sofi.org.
 
 
#LI-DNI
Data Scientist at Sofi

Social Finance, Inc. seeks Data Scientist in San Francisco, CA:Job Duties: Apply advanced statistical methods to complex data sets to understand SoFi user andproduct trends. Identify product improvement potentials and customer interaction behaviors by usingvarious data sources at different stages of the product, and recommend partner teams with properstrategies to ensure a smooth user experience. Work with other data scientist and engineers to leveragemachine learning to power personalized experiences across SoFi. Contribute to the developments ofnew products or features by exploring solutions to display intelligence product rankings in the websiteand mobile application designs. Implement all the above duties with modern technologies, including butnot limited to Python, SQL and AWS. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, InformationSystems Management, Business Intelligence and Data Analysis , or closely related quantitative discipline,and one (1) year of experience in job offered or related field, OR Bachelor’s degree, or foreignequivalent, in Computer Science, Information Systems Management, Business Intelligence and DataAnalysis or closely related quantitative discipline and five (5) years of progressively responsibleexperience in job offered or related field.Special Skill Requirements: (1) Python; (2) SQL; (3) Business Analysis; (4) Financial Analysis; (5) RiskManagement; (6) Scikit; (7) Matplotlib; (8) Swift Programming Language; (9) Apache Spark; and (10) Git.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $140,000.00 - $161,000.00 per annum.Submit resume with references to: Req.# 22-17353 at: ATTN: Rae Myles, rmyles@sofi.org.
 
 
#LI-DNI
Data Scientist Strategic Finance at Figma

The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company's budget and top level business objectives, driving annual and quarterly planning processes, and performing financial analysis to inform our business strategy. You’ll be bringing a high level of rigor to the highest priority business issues and will interface regularly with senior leaders at the company. The ideal candidate is a great communicator with both technical and non technical counterparts, extremely detail oriented, and comfortable with ambiguity. Familiarity with financial data would be a huge plus.

 

This is a full time role that can be held from one of our US hubs or remotely in the United States.

 
What you'll do at Figma:

Take ownership of our financial data pipelines 

Partner with the Strategic Finance team to improve financial forecasting methods 


Perform data analysis and build models such as customer LTV and propensity to buy to refine our long term strategy

Drive metrics understanding and operationalize usage of KPIs
Collaborate with cross organizational teams including finance, growth, product, marketing and sales to set team level targets that contribute to company objectives.
Prepare metrics updates for the executive team and the broader company. 

We’d love to hear from you if you have:

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

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

Firm knowledge around statistical methods, including forecasting
Excellent judgment and creative problem solving skills
A self-starting mindset along with strong communication and collaboration skills

 
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
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
Data Scientist Dl Ai Modeling Forecasting Canada 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 Data Scientist preferably, with a Ph.D. who holds solid knowledge of 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 in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep 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 demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional 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.
Data Scientist at Spruce

About Spruce

Spruce is the platform enabling modern real estate transactions. We work with forward-thinking mortgage lenders, real estate companies, and investors. We believe that the future of real estate will be driven by automation, efficiency, and digital experiences. Our mission is to  provide the products and services necessary to make that happen.


What you'll do

Work closely with Product, Engineering, and Operations as part of a team building the industry’s first automated title search platform
Use Python to collect and parse real estate records from 3rd party data sources
Using this data, train and implement predictive underwriting models
Convert existing offline prototype models to fully automated, high performance production systems



What you'll bring

1-2 years working experience as a data scientist or data engineer
Experience with Python and SQL in a work setting
Experience working with data scientists and data analysts 
Experience following a test-driven development process

Strongly Preferred
Advanced degree in a quantitative field or equivalent
Working knowledge of web-scraping packages such as Selenium
Experience developing and / or implementing statistical models, especially in the ML / AI family


$115,000 - $145,000 a year
We are proud of the team we’re building. We're committed to equal opportunity employment -- and beyond. We believe diverse experiences and perspectives build a stronger team and a better product. We welcome fresh perspectives and challenge our own assumptions to make Spruce better. The more inclusive we are as a company, the better we can serve our customers.
Sr Data Scientist Ads Machine Learning at Reddit

We are looking for a Senior Machine Learning Data Scientist to join the Ads Quality team. You will work closely with engineers and product owners to 1) set up the vision and product strategy of ads quality and relevance, 2) optimize ads delivery and auction systems through utility function design, 3) measure various marketplace tradeoffs. This person possesses a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. 
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:

Research, design and develop contextual ad relevance models. Reddit ads are a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality. 
You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery. 
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models. 
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
Master’s or PhD degree is preferred but not required
Proficiency in machine learning, statistical modeling, and optimization
Understanding of experimentation and causal inference analyses
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Computer vision experience strongly preferred
Strong skills in SQL and programming (Python or R)
Data Scientist I at Lightcast

The Data Scientist works with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients’ most pressing problems about the future of work.

Major Responsibilities:

Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets.
Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast's data infrastructure.
Support product development by performing quantitative analysis using Lightcast’s world-class demand and supply data, as well as other data sources to investigate, manipulate, and model solutions for products.
Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.
Communicate key insights and recommendations to internal and external stakeholders across the organization.
Develop innovative analytical models and document the methodology and findings in a manner accessible to a variety of audiences.
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.
Perform other duties as assigned.



Education and Experience:

1 - 3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Bachelor's degree in Data Science, or a field with a strong quantitative and analytic focus such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or other related field.



Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. 

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote
Data Scientist at Lightcast

A Data Scientist at Lightcast works with the Product, Data, and Classifiers & Extractors teams to produce state-of-the-art models and enriched datasets that address our customers’ most pressing problems about the future of work. A successful candidate will have a strong knowledge of current NLP capabilities, and be comfortable working with big data to build high performance text-based models. 

Responsibilities:

Assist in the development of new and existing classification models that process billions of documents at a time.
Research methods to expand, augment, and enhance labeled datasets.
Work closely with Classifiers and Extractors engineering team and Data Engineering team to integrate models and deliver to production environments.
Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively.
Perform statistical analysis to understand model performance.



Knowledge, Skills, Abilities:

Experience building and testing ML models or building applied multivariate statistical models, particularly for data classification
Experience with self-supervised and semi-supervised learning.
Proficiency with Python and/or related analytical programming languages
Familiarity with Machine Learning and data processing related Python packages such as Scikit-learn, Pandas, Numpy, or Tensorflow.



Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote