Senior Data Scientist
$130,000-$170,000 Base Salary,Position eligible for additional incentives including bonus, 401k match, health and welfare benefits.
Remote Northeast U.S., preference for candidates based in NY or D.C.
National Funding (NF) is creating a new, state-of-the-art digital lending company, smallbusinessloans.com (SBL). SBL will launch fully digital lending offering targeted to SMBs seeking an automated loan experience. The company will differentiate itself from competitors via superior technology, risk management, data science, a fully digital UI, and a customer-first experience that emphasizes ease of use, fairness and transparency in pricing, and recognition of customer loyalty.
In order to maximize speed-to-market and efficiency, SBL intends to leverage the availability state-of-the art technology service providers and platforms. At the same time, SBL will build a robust set of modules around these platforms that will serve to differentiate SBL’s offerings in the marketplace and to its customers.
The Senior Data Scientist role is a senior member of the Data Science team with broad responsibilities that span the scope of the Data Science team. The ideal candidate has extensive experience building risk models (credit and fraud) for scoring risk of personal and small business entities in a small business lending product environment. The ideal candidate will be a thought leader in helping design, develop, implement, and manage key risk models and leverage expertise in machine learning and statistics to achieve exceptional results.
The ideal candidate can identify objectives, scope requirements, and determine approaches to solution development independently. The candidate is able to apply advanced mathematical and statistical techniques (e.g. GBM, logistic regression, cluster analysis, neural networks, independence testing, etc..) to further results and develop organizational capabilities needed to fully exploit data as an asset.
• Manipulate structured and unstructured datasets from disparate sources
• Perform data processing, integration, cleansing, descriptive analysis, visualization, and reporting
• Develop, document, monitor, and improved machine learning models for credit assessment, fraud detection, and other relevant customer lifecycle models
• Performs advanced analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
• Apply data analysis and modeling techniques to support business decisions
• Hands on role in deploying models and tracking performance metrics
• Implements projects from inception to completion, managing timelines and resources independently to deliver expected outcomes.
• Engage stakeholders to understanding business requirements (compliance, engineering, product, marketing, etc.)
• Provides consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
• Other duties as assigned.
Knowledge, Skills and Abilities Required:
• Bachelor’s degree in computer science, engineering, mathematics, statistics, or a similar quantitative field
• 6+ years of relevant work experience
• Fluency in programming languages such as R, Python, SQL.
• Experience developing supervised and unsupervised machine learning algorithms
• Proficiency in working with SQL databases
• Strong programming practices utilizing version control systems (e.g. Git)
• Attention to detail and strong communication skills across technical and non-technical audience
• Extensive experience working with Python data science libraries
• Experience with Tableau and/or Looker
• 10+ years of relevant work experience
• 4+ years developing credit models for small business lending
• MS degree in a quantitative field such as mathematics, statistics, information systems, computer engineering or similar quantitative field
• Experience developing advanced models (default prediction, revenue forecasting, response prediction, etc.) in multiple functional areas (credit, fraud, marketing, etc.)
• Extensive experience developing credit models with GBM and Logistic Regression
• Experienced working withing Google Cloud AI tools
• Experience in applying statistical techniques to draw causal inferences in both experimental and non-experimental situations
• Experience leading end-to-end data science projects
• Experience mentoring other data scientists
National Funding is an Equal Opportunity Employer.
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We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.
We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.
Research and detect valuable data sources and automate collection processes
Perform preprocessing of structured and unstructured data
Review large amounts of information to discover trends and patterns
Create predictive models and machine-learning algorithms
Modify and combine different models through ensemble modeling
Organize and present information using data visualization techniques
Develop and suggest solutions and strategies to business challenges
Work together with engineering and product development teams
1+ years' experience of working on Data Scientist or Data Analyst
Significant experience in data mining, machine-learning and operations research
Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop)
Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Strong math and analytical skills, with business acumen
Strong communication and presentation skills
Good problem-solving abilities
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Reesby Pty Ltd is a premium IT recruitment company sourcing talent for global brands.
Our client is seeking a skilled Junior Data Scientist with a knack for analysis and a passion for machine-learning and research. This is a part-time role and the client has offices based in Melbourne & Sydney and they are open to candidates from either place and offer remote working flexibility. The ideal candidate should be able to develop new analytical solutions for products and services.
Kindly visit www.reesby.com.au for any recruitment requirements
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Data science consulting is an integral and rapidly growing part of our firm's offerings; we are seeking a talented, self-starting data scientist to help our efforts in both business-facing data science and machine learning engineering. At Aimpoint Digital, you will augment talented data science teams, build cutting-edge models, and make impactful recommendations in a fast and dynamically changing environment.
We are looking for detail-oriented data scientists who want to make an impact on businesses by building deployable models to generate valuable insights.
We are actively considering applicants that are fully remote within the US
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Data is the core of everything that Engage3 provides. As an Applied Data Scientist for Engage3, you will be on the front lines driving direct value to our customers and the organization. You will be involved in all aspects of the data lifecycle, from data extraction and transformation to delivery to analysis and modeling.
You will have the opportunity to drive business impact by working with stakeholders and clients, where you will have a direct hand in shaping or creating Engage3’s retail data solutions. You will also be expected to build new processes and procedures from scratch that will solve new business or customer use-cases as they evolve.
You should be able to demonstrate the ability to manage the entire lifecycle of modeling projects, from identifying requirements to working with the data (extracting, managing, modeling, visualizing) to using this data and justifying your results. You should also have experience collaborating across organizational boundaries -- you will be just as comfortable talking with a business stakeholder about what this analysis means as you are collaborating with Dev and Data team members and diving into the database.
A successful Applied Data Scientist will:
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BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, political campaigns, and businesses. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the team:
The Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.
Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
About the role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our internal products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.
In this position you will:
What we are seeking:
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready.
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
The salary for this position is $80,000 annually.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Privacy Notice: At eCore, we’re committed to respecting your privacy. We use Breezy HR, a web-based hiring platform, to assist our recruitment process. As part of that process, we require you to submit a personal information/identification document that will be treated with high confidentiality and shared with authorized hiring team members only. Your identification document is used for screening purposes and your personal information is used to determine whether or not you’re a good fit for current and future roles at our company. Please provide accurate information, otherwise, your application will be disqualified and you will not be able to reapply in the future.
IMPORTANT REMINDERS before you apply:
JOB DESCRIPTION & REQUIREMENT:
About the Company:
The eCore Organization combines virtual work, international development, and a wealth of entrepreneurial experience. We all believe in using technology, talent, and innovation to simplify costly business processes while providing jobs to hard-working individuals deserving of opportunities and those who serve as our organization's core values.
About the Worker Community:
eCore Services gives skilled individuals access to fair-wage digital work all over the globe. The majority of eCore members were underemployed or unemployed before joining. Because our worker community is structured like a traditional workforce, members have the opportunity to develop essential skills, professional development, advances in careers, work in teams, and interact with community members.
eCore is looking for a Data Scientist who will support our organization with insights gained from analyzing company data. The ideal candidate should be well versed in analyzing large data sets to identify opportunities for product and process optimization and using models determine the effectiveness of different courses of action. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable communicating and working with a wide range of stakeholders and functional teams. They must have a proven track record of success utilizing data analysis and insight.
Responsibilities for Data Scientist
Qualifications for Data Scientist
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We're looking for a Lead - Data Science who can take complete ownership of the team & the Data Science strategy for inFeedo. You will work on inFeedo's most strategic programs along with the head of product, head of engineering and the founders. This role will enable you to drive and influence projects that directly impact our customers and millions of employees who chat with Amber.
Our ask is a burning desire for scale, a relentless passion for building cutting-edge products, and undying love for technology.
No. of positions: 1
What will I be doing?
Who will I work with?
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Data Scientist – Machine Learning
Ascend Innovations is looking for a Data Scientist to join our growing team and join our Machine Learning focused Data Science team at Ascend. We’re a scrappy team of account/project managers, engineers, data scientists and UX-ers, and we need someone who is skilled at machine learning development and deployment. You’ll be joining a growing team of Data Scientists and Analysts at Ascend – so you’ll have an opportunity to make a significant impact on our capability and growing Data Science strategy.
As a Data Scientist, you’ll support data driven products, projects, and services that enable community health organizations to better serve the most vulnerable populations. We work with clients ranging from recovery boards to hospice organizations, to grass root community health programs focused on important initiatives such as reducing infant mortality and the impact of mental health & substance use disorder in our communities.
???? About Ascend
Ascend Innovations is a socially impactful technology company that provides data-driven products and consulting services to help organizations solve complex community health problems. We desire to empower all communities to improve health and wellness with human-centered technology. Owned by the three hospital networks in Dayton, Ascend is uniquely positioned to build solutions around mental health and addiction, chronic disease, social determinants of health, and other core focus areas related to community health. Ascend’s long-term strategy is to build data-driven technologies for communities while in parallel identifying scalable opportunities to transition products and produce spinout companies through Ascend’s startup studio, Ascend Ventures.
❤️ What We Value
Our team culture is rooted in the values of drive, perseverance, trust, accountability, and community.
???? WhoYou Are
☀️ As a Data Scientist, on a given day you will:
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is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.
Our goal is to overcome language barriers and bring cultures closer together.
What distinguishes us from other companies?
DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.
When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.
We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.
What will you be doing at DeepL?
You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.
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Founded in 1985, SelectQuote provides solutions that help consumers protect their most valuable assets: their families, health and property. The company pioneered the model of providing unbiased comparisons from multiple, highly rated insurance companies allowing consumers to choose the policy and terms that best meet their unique needs. Two foundational pillars underpin SelectQuote’s success: a strong force of highly trained and skilled agents, who provide consultative needs analysis for every consumer, and proprietary technology that sources and routes high-quality leads. The company has three core business lines: SelectQuote Senior, SelectQuote Life and SelectQuote Auto and Home. SelectQuote Senior, the largest and fastest-growing business, serves the needs of a demographic that sees 10,000 people turn 65 each day with a range of Medicare Advantage and Medicare Supplement plans.
Responsible for the development of analytical tools and self-adjusting algorithms used for the automation of critical business functions. The position involves communicating data findings to both technology leaders and business managers to help the company overcome business challenges. The data scientist explores and analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage.
Knowledge, Skills and Abilities:
Training and Experiences
It’s an exciting time to join SelectQuote. We became a publicly traded company in 2020 with the first 100% virtual IPO (non-biotech) in American history. We have also been recognized nationally on the 2021 Top Workplaces USA list and by the Kansas City Business Journal as a 2020 Best Places to Work honoree.
Full-time employees are eligible for medical, dental, vision, voluntary short-term disability, company-paid long term disability, company-paid life insurance and accidental death & dismemberment (AD&D), 401(k) + company match and 100% vesting after 4 years, discretionary profit sharing, employee stock purchase program (espp), paid time off, floating holidays, paid maternity leave, paid parental bonding leave, tuition reimbursement, jury duty pay, work from home stipend, and other paid leaves vary based on work location.
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