Data Science Manager Ads Machine Learning

We are looking for a manager to be a part of the Ads Data Science team and lead a small group of machine learning and analytics data scientists. You will work closely with engineering managers, engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has a solid business acumen and understands what is important to advertisers.
Responsibilities:

You will start off with leading a team of 4-5 data scientists with some specializing in Machine Learning and others in analytics. The expectation is to scale the team to ~10 in 2023.
You will build optimization algorithms that improve ad yields and efficiencies. Our optimization models were hugely successful in the last 12 months and as a result we are increasing our investment in this area.
Along with building ML models, you will be a key strategic player in defining the roadmap for the ML efforts for the entire Ads Org. Your roadmap will not only achieve immediate business goals, but also dictate our long term strategy for optimization and marketplace efforts.
Manage and nurture a team of talented Data Scientists and have a keen interest in shaping their careers.
Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
Design and build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks!
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, along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Work closely with our sales and marketing partners to ensure that ads are set up in a way that amplifies the benefits of your optimization models.

Required Qualifications:

Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning
2 years of Prior experience working as a Tech Lead or a Data Science Manager. Willing to consider candidates without prior management experience.
5+ years of experience in quantitative/modeling roles, preferably for a consumer-facing service/app
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Experience building Ads optimization models is preferred but not required

Benefits:

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

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $297,300


Sr Data Scientist Product Analyst

ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you'll do:
Data is core to how ClassDojo makes informed choices. As our next senior data scientist, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestone: serving 100 million+ families, and 100 million+ in revenue, while deepening love for our brand.
The data science function at ClassDojo is an equal partner to product, engineering and design. As a senior on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy across our entire business.You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.

Drive orders of magnitude of growth in ClassDojo's network and revenue growth
Design and evaluate product experiments and improvements, working with cross-functional teams to translate insights into action
Define product strategy and direction, in collaboration with cross-functional peers
Empower teams with the skills and tools to get their own insights\

You will be a match if:

You have at least 4 years of data science experience

You might be a good fit if:

You have 5+ years experience in a data science or similar role at a consumer company, ideally with a stint on a high quality growth team
You have good business judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast

Bonus:

Experience with data pipelines: transforming raw production and external data into user-friendly tables.

[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

At Olo, we are metrics obsessed, striving to learn and evolve; hence, data is a core component of empowering our customers and partners, as well as internal decision-making. The data intelligence team partners with product, engineering, finance, marketing, sales, and customer success and thus require pivotal cross-functional leadership and collaboration across all levels of the business.

The Data Scientist provides our customers, partners, and internal stakeholders with insights and industry trends, including the usage, health, and return on investment of the Olo platform.

You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC.

What You'll Do

Use statistical methods to measure incrementality and build ROI case studies
Design and perform A/B test
Define and own key metrics such as customer retention, customer conversion, and customer lifetime value with key business partners internally
Work with important internal partners across Product, Engineering, Customer, and Finance teams, help define key SaaS business metrics, uncover data patterns and generate actionable data insights
Partner with our teams to propose and develop new data products and tools, including data dashboards and models.
Communicate findings to a wide range of internal business stakeholders through an approach that facilitates learning, prioritization, and action
Work, as part of an organization-wide data governance team, to determine policies and rules to ensure data quality and operational security

What We'll Expect From You

Bachelor’s Degree in any quantitative discipline, such as Statistics, Mathematics, or Operational Research
4+ years of work experience as a data scientist using advanced statistical methods
Proficiency in writing advanced SQLs and a good understanding of RDBMS
Proficiency in Python programming
Working experience using at least one BI/data visualization tool (e.g., Looker, Tableau, etc.)
Demonstrable product sense and business acumen
Passion for analyzing data to find meaningful insights and speaking to them
Top-notch communication and the ability to educate a range of stakeholders, from individual contributors to senior management and executives

About Olo

Olo is the engine of hospitality powering the restaurant industry's digital transformation. As a leading open SaaS platform, we enable over 600 restaurant brands to jointly reach 85 million connected guests across approximately 84,000 locations. More than two million orders per day run on Olo's platform, allowing brands to maximize the convergence of digital and brick-and-mortar operations while raising the bar on hospitality. The result: brands do more with less and make every guest feel like a regular. With integrations to over 300 technology partners, our customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market. You have likely used Olo and not even known it! Learn more at olo.com.

We’re remote-friendly. Since 2015, we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely across the U.S. If you're in the New York City area, you can choose to work remotely or from Olo's headquarters, located in Tribeca.

We offer great benefits, such as 20 days of paid time off, 10 separate sick days, 11 holidays plus year-end closure, fully paid health, dental and vision care premiums, a 401k match, remote-office stipend, company equity, a generous parental leave plan, volunteer time off, gift matching policy, and more!

Our best estimate of the compensation range for this opportunity is $115k to $135k annually, depending on the experience you bring and your location. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.

We encourage you to apply!

We value diversity. At Olo, we know a diverse and inclusive team makes our workplace better. Don't meet every single qualification in the job description? Market data shows that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, that is free from discrimination and harassment; this allows us to make better decisions and better serve the communities we’re a part of. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status. If you require further accommodations or have questions regarding accessibility, please contact us at talent@olo.com.


Associate Data Scientist

About Indigo

Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture's long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups.

Indigo’s Biological Products organization develops products based upon our deep understanding of the plant microbiome. The company has commercialized such products for cotton, wheat, barley, corn, soybeans, and rice in North America, Latin America, and Europe under the biotrinsic™ brand. Our R&D and product development teams are working to continue to develop products that address the growing number of abiotic and biotic stresses that crops experience worldwide. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Basel, Switzerland, Buenos Aires, Argentina, and São Paulo, Brazil.

The R&D data science team is responsible for the analysis of our Global R&D Field Trials, with the overall goal of leveraging data to accelerate the discovery and launch of best-in-class commercial products. As an Associate Data Scientist, you will play a key role in developing and applying crop models and data analytics approaches for performance insights and product advancement decisions. You will work in close partnership with the R&D field scientists, Product Management, and Commercial teams to deliver innovative modeling solutions in alignment with key business priorities

The ideal candidate will be team oriented, excited by new challenges, comfortable in a fast faced and dynamic environment, and have a strong interest in deriving performance insights from agronomic data. We are a cross-functional team that values collaboration, teamwork, open communication, and growth and learning.

Responsibilities:

Analyze model outputs and support the delivery and communication of crop model outcomes
Calibrate crop models to make sure simulated yield and stress level reflect reality. If necessary, design and conduct specific experiments for model calibration
Support product performance understanding based on modeling outputs
Write robust, well-documented code that adheres to community standards and data science best practices
Build algorithms for crop models with a focus on analysis/prediction of the impact of abiotic/biotic stresses, cultivar/genotype, and crop management on overall crop productivity
Stay current on crop modeling research, and explore new approaches by applying the latest advancements in crop physiology and modeling
Explore diverse environmental, remote sensing, and/or geospatial datasets
Support the education of stakeholders to promote the application of crop modeling results for decision making
Analyze the quality of input data, and work with the data management team to resolve issues

Competencies:

Proficient in building clear and organized code (R or Python)
Passion for clear, thorough, and timely documentation
Excellent communicator and strong team player
Able to prioritize conflicting demands and comfortable with ambiguity
Strong desire to continue learning by identifying and implementing new techniques and technologies
Focused on the needs of customers and experience working directly with stakeholders to implement usable data products
Able to work productively in a multi-disciplinary and predominately remote team with geographically dispersed stakeholders
Passion for achieving Indigo’s mission

Qualifications:

MS in Plant Physiology, Agronomy, Crop Sciences, Statistics, Soil Science, Environmental Sciences, or other highly quantitative discipline with a focus on biological problems
Fluency in R and/or Python programming and basic SQL programming
Experience in popular relational databases, such as MySQL, MS SQL, Snowflake
Experience parameterization and validation of crop models to understand environmental impacts and genetic effects on yield performance
Experience with crop models such as DSSAT and APSIM
Experience working with biological and agronomic data
Experience with Linux command line, AWS environment, and parallel computing
Experience with data management and data visualization is a plus

#LI-JW2
#LI-Remote

At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool.

If you’re applying for a job in the U.S. and need reasonable accommodation for any part of the employment process, please email talent@indigoag.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.


Head Of Monetization Data Science

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Core to this mission is our ability to enable Pinners to identify the products, services and people that will enable them to realize their dreams while connecting businesses and advertising partners with the customers they need to realize their own. We are looking for a Head of Analytics and Data Science for Monetization. This leader will partner directly with our Head of Monetization for Engineering and Product to build, evolve and realize Pinterest’s monetization strategy (a $1B+ business).
What you’ll do:
Lead & Develop the Team: Lead, grow, and develop an organization of 20+ highly skilled data scientists and product analysts across multiple geos and managers through excellent hiring practices, coaching, team processes, and more. Drive Technical Excellence: Solve key technical challenges in understanding and improving the quality of advertisements, measure effectiveness of advertisements and our advertising products, and enhance shopping products on our platform. Be a Strategic Thought Partner: Act as a thought leader alongside engineering and product partners; collaborate to develop and evolve our vision for revenue and advertiser growth, improve the quality of our product and enhance platform monetization through rigorous analysis and opportunity sizing.  Build a Portfolio of Work: Construct a portfolio of investments across the team that optimize on the short-term and long-term and span the risk vs. reward spectrum. The team will partner with Engineering, Product, Research and Design and will be responsible for building and maintaining a suite of metrics/measurement solutions, driving rigorous experimentation, identifying insights and opportunities to invest in, and building/analyzing models that improve value provided to pinners, advertisers and merchants. Drive Rigor and Velocity: Drive a team that yields high quality and actionable results, while maintaining the right balance between velocity and rigor.
What we’re looking for:
Have a Growth Mindset: A self-propelled intellectually curious continuous learner who keeps up with new tools, methodologies, and the industry and is unafraid to take new challenges. Advocate for Product Quality: Someone who emphasizes and advocates for the quality of the product. Innovation and Risk Taking: Someone who is consistently looking for new and innovative ideas, drawing from data, the team expertise and the industry. A Clear Communicator: Excellent at being able to communicate complex analysis and insights to highly disparate audiences with varying technical depth.  Have a Challenger Mindset: You are comfortable challenging the status quo in an effort to make improvements. Have Passion for Data: You continue to be hands on with data regardless of what your role is because it is something you are truly passionate about. A Champion of Inclusion and Diversity: You are a proven people leader who ensures that your teams are inclusive of and leverage diverse experiences and backgrounds. 12+ years of combined industry and post-graduate academic experience in a quantitative field and a proven ability to apply scientific methods to solve real-world problems on web-scale data 5+ years of leadership experience managing a team of 15+ data scientists and product analysts across multiple locations at a technology company. Experience in leading an organization with managers, ICs, and technical leads. 3+ years working in ads, shopping, or e-commerce domains  3+ years experience working closely with both engineering and product teams 3+ years hands-on individual contributor experience in many of the following areas  Ads Quality | Growth | Metric Design | A/B Experimentation Design and Evaluation | Human Evaluation | Machine Learning | Ranking and Recommendation Systems | Causal Modeling | Big Data Processing| Ads measurement  Hands-on knowledge of SQL and Python or R
US Applicants:
The minimum and maximum salary for this position is $222,300 to $382,700 in the US; This position is eligible for equity; and Information regarding the culture at Pinterest and benefits available for this position can be found at https://www.pinterestcareers.com/pinterest-life/.
* This compensation and benefits information is based on Pinterest’s good faith estimate as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors that may include location, travel, shift requirements, relevant prior experience and/or education, or particular skills and expertise.
#LI-REMOTE #LI-NP1
Our Commitment to Diversity:
At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.


Staff Research Scientist

AT A GLANCE
We are looking to hire a staff machine learning engineer to join our RVO Health data science team. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do

Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.

Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.

Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.

Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.

Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.

Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We Are Looking For

6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.

Our core problems to solve are:

website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.

text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.

recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.

Candidates with specific expertise in any of these areas will be highly preferred.

Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.

Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.

Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.

Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.

Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

Starting Salary: $150,000 - $210,000*Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We will use the remainder of 2022 to separate from Red Ventures and fully transition into the new entity. We will communicate fully and transparently along the way, honoring the culture, people, processes and spirit that got us to this point.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.

#LI-SM2
#LI-Remote


Treasury Analytics And Modeling Manager

Description
Huntington’s Treasury Balance Sheet Management (BSM) team sits at the hub of the bank: every month we forecast the entirety of our balance sheet under dozens of interest rate scenarios to identify potential risks and recommend actions to mitigate that risk.  From our position we track every line of business, and we keep a pulse on how the bank is performing overall, and we need smart and talented individuals to help us improve our forecasts.
We are recruiting for a Treasury Analytics and Modeling Manager who will be the manager and intellectual owner of the team’s forecasting methodology for key areas of the bank’s balance sheet with statistical know-how and business sense. Responsibilities include, but not limited to the following:
Manage a group of modeling analysts with a focus on certain portfolios on balance sheetWork closely with appropriate product owners to deeply understand the business dynamics of our productsDevelop models and assumptions that translate those real-world dynamics into mathematical representations of behavior.  Our forecasts focus on account acquisition, loan prepays, deposit rates paid/offered, and deposit balance retentionMake and defend key tradeoffs between model accuracy and complexity, in line with the BSM team’s overall strategic objectivesLead the group to work closely with our BSM Production team to ensure models are appropriately implemented in our cashflow forecasting engine (currently QRM)Provide ongoing monitoring of models in adherence to our risk framework.  In cases where model performance degrades, perform appropriate research to identify root causes, and recommend then implement fixes to bring models back within complianceBe aware of changes in product management strategy and maintain a perspective for when existing models conceptually diverge from their stated objectives
Required Qualifications:
Five years of experience managing production-ready models over the modeling lifecycle (requirements gathering, data preparation, model development, documentation, and ongoing monitoring/refreshes)Demonstrated familiarity in the statistical techniques of time series, decay, and/or prepay modelsExperience developing models in standard data management and statistical software (e.g., SQL, R, SAS, STATA, Python, etc.).  Our team uses SQL, Python and SASExcellent written and verbal communication skills, with experience explaining model results and limitations to non-technical audiencesFacility with Microsoft Office products, especially Excel (advanced)
Master’s degree in a quantitative field (economics, mathematics, statistics, physics, etc.) with 5+ year relevant experience or bachelor’s degree with 8+ year relevant experience
Preferred Qualifications:
Experience in model governance activity per risk management frameworks typical at banks >$50 bn in assetsExperience implementing models in Financial Services cashflow forecasting engines, including QRM, Bankware, Empyrian, or othersCuriosity and creativity to provide a point of view even if that perspective is contrary to conventional wisdom. Willingness to personally be the “hands-on-keys” interrogator of data, assumptions, models, and calculations to develop and implement changes as neededPh.D. in a quantitative field (economics, mathematics, statistics, physics, etc.).
#LI-Remote
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Remote
Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position
Apply


Data Scientist Machine Learning

What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are looking for intellectually curious, highly motivated individuals to be the foundational members of our Machine Learning Data Science team. As a Machine Learning Data scientist at Underdog, you’ll be building out the next-gen AI powered gaming platform that will lead the sports gaming industry. You will be part of a team whose focus is to solve cutting edge data science problems and deploy state-of-the-art models.
You will develop models, systems and features that leverage the massive scale of Underdog’s user base to understand and predict user behavior, and to optimize the experience at all stages of the user journey. You will engage in and manage an end-to-end machine learning (ML) development lifecycle from data, use case, solution design and modeling to production deployment and monitoring.
Projects can range from working on a wide-variety of statistical and machine learning problems, e.g. experiment design (AB testing), causal inference, clustering, propensity modeling, survival models, classification and regression modeling, pricing, fraud/anomaly detection, MCMC, Bayesian models.
*Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:

Design, explore, build, evaluate, deploy and iterate on statistical/ML models
Build across the entire machine learning development process to implement ML algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring
Design experiments/AB tests, analyze/interpret results and communicate insights to leadership and stakeholders
Work with large scale data systems, build large scale training and inference pipelines
Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
Partner closely across the business to identify improvements and opportunities, influence decisions using data science

Who you are:

BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related academic/work experience
3+ years of experience building and deploying statistical/ML models
Industry experience working with large scale data
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
Proven machine learning and software engineering skills across languages including Python, R etc.
Experience with ML software tools and libraries (e.g., Scikit-learn, Keras, statsmodels, PyTorch, Huggingface, Haystack, Fastai, TensorFlow, Nvidia, Nbdev.)

Even better if you have…

MS, PhD in Statistics or related field with research in machine learning
Familiarity with large-scale data processing and distributed systems
Experience with MLOps pipelines
Experience with one or more of the following: deep learning, natural language processing, computer vision, bayesian reasoning, recommendation systems, search and ranking, learning from semistructured data, graph learning, reinforcement or active learning, ML software systems, machine learning on mobile devices

Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $185,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!

#LI-Remote


Principal Data Scientist

Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Job Number: REQ5405Location: Anywhere in Alberta, preference for Edmonton or Calgary #LI-RemoteApply by: Monday, January 23, 2023Paygrade: M-OTHSystem Title: Data Scientist 8# Positions available: 1Leader Name: Brent LymanAs ATB’s next Principal Data Scientist within the Advance Analytics & Artificial Intelligence team, you are on a mission to take AI out of the lab and help ATB and our clients to realize the immediate value of this fast-paced technology. To do this, you will steer the vision, goals and milestones across a growing portfolio of cloud-based AI Products. Lead the execution and delivery of a growing portfolio of Data/AI Products that advance ATBs capabilities and allow us to execute against our data monetization strategy. Actively partners with technical thought leaders including Distinguished Data Scientists and other Principal data scientists on the design and strategy for AI capabilities, and owns a clear vision based on value-driven outcomes aligned to enterprise strategy. Manage partner vendors to ensure successful delivery of AI products and solutions. Coordinates with their direct leader and with business stakeholders on all aspects of AI delivery, thereby ensuring alignment and ongoing clarity into a complex body of work. Actively contributes to an evolving culture of applied AI at ATB, driving engagement and thought leadership Uses data to re-evaluate and redesign existing products and practices to improve team outcomes. Collaborates on design of data science projects, ML/AI algorithm development and models   Collaborates with database designers, developers and operations to productionalize AI models Advises & mentors more junior data scientists on project workflows including: EDA, model selection and validation, bias testing, operational considerations etc.  Strong interpersonal skills and confidence interacting with technical team members from diverse backgrounds, as well as senior leadership and executives. This includes expertise with storytelling through data. Demonstrates a sound understanding of mathematics and statistics. Solid grasp of software development/engineering principles, algorithms, and processes (including Agile delivery practice). Expert knowledge of Python and SQL. Experience working with technologies like Big Query, C3.ai, Tensor flow etc.  Experience building AI recommendation products to improve advisory services in the financial services  a plus Graduate degree in Computer Science, Mathematics, Engineering or other quantitative field   3 to 5 years of relevant data science experience (preference for experience working in Financial Institutions) Demonstrable portfolio of successful experience with deploying AI solutions (preferably cloud-based) - whether applied in industry, academic or other settings. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are a match for this position, please consider applying.Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch!   ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.


Growth Data Scientist

At Propel, our mission is to build modern, respectful, and effective financial tools for Americans with limited income. Over 5 million people use our app Providers, previously called Fresh EBT, to manage the benefits that keep their family well-fed and healthy, stay up to date on critical government programs, save money and earn income. Read more about the impact of the Providers app here, here, and here.
As a Data Scientist focused on our Growth Product, you’ll play a key role in fulfilling this mission by using data to rapidly scale one of the fastest growing financial products to date. You will become our expert on experimentation, helping the team to rapidly discover our greatest opportunities. Your analysis will shape our debit product, developing features custom-built to meet the needs of low income Americans.
You’ll also play a crucial role in fostering a data and experimentation-driven culture across all of Propel. You’ll make our teams more effective by collaborating cross-functionally to ensure our experimentation frameworks are well-designed and effective, and that our data we need is organized, clean, and reliable.
Propel offers a unique opportunity to create social impact at scale. We're a for-profit company backed by some of Silicon Valley’s top investors, including Andreessen Horowitz, Kleiner Perkins, and the Omidyar Network. If you’re looking to leverage your skills for social impact, come join us!
We are strongly committed to hiring a diverse and multicultural team. We encourage applications from traditionally under-represented backgrounds, including those with direct experience with the Supplemental Nutrition Assistance Program or other government benefits.
We offer:

An immediate opportunity to make an impact
A get-stuff-done and fun and caring culture
Meaningful work and a strong shared sense of mission
A remote-first working environment with headquarters in Brooklyn and satellite offices in San Francisco, Los Angeles, and Salt Lake City.
Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $150,000 -$170,000 depending on experience. Equity and excellent benefits come with this position as well!

What you’ll do:

Design and run experiments across our company that will supercharge our growth and discover our greatest opportunities.
Conduct exploratory research to find emerging and impactful trends in user behaviors.
Foster a data-driven culture by bringing a statistical lens to our problems.
Ensure our experimental results and datasets are clean, accurate, and reliable.

What you have:

Strong investigative skills: the candidate is curious, can generate and answer their own questions.
Skilled leader in statistics, with an emphasis on experimentation, AB testing, and causality.
Strong skills in communicating all things data, whether through visualizations, writing, or presentations.
Domain expertise in growth, particularly with a focus on consumer-facing applications or personal finance.
Strong enough data skills in SQL to dig into our data and unblock yourself.
Bonus: Basic programming skills, with Python and/or R preferable.
Bonus: Experience with data transformation frameworks such as dbt or Airflow.
Bonus: Experience with data warehouses and related technologies, such as Snowflake and Fivetran.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Sr Insurance Data Scientist

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Insurance Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Auto Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Manager Senior Manager Data Science

Headquartered in Boston, Forward Financing has been recognized as a Best Place to Work by the Boston Business Journal and Built In Boston and is certified as a Great Place to Work.® At Forward, we believe every business deserves financial opportunity. That’s why we provide fast, flexible capital to small businesses that have often been underserved by traditional financing options. Our mission is to build a world-class fintech company so our customers and people can reach their full potential. We’re investing in our employees, technology, and customer experience – with long-term success in mind every step of the way.
As Manager/Senior Manager, Data Science, you will lead the execution of building and deploying our predictive models. This is an exciting opportunity to get on the ground floor of a team at a growing company, and to guide the direction of how we build our data science capabilities. The ideal candidate has past technical experience building, deploying and monitoring credit risk predictive models, and can provide a vision of the tools and processes we should use in every stage of the modeling process. You will be joining our Analytics department, and report to the Director of Analytics and Data Science.
We have a modern analytics stack (Snowflake+Fivetran+DBT) that our Analytics Engineering and Business Intelligence teams use to centralize, clean, transform and model all of our data. We have access to many third-party datasets, in addition to our internal proprietary data. You will collaborate closely with the Analytics team to build datasets that will be used by data scientists to build models. You will also collaborate closely with our Technology team to deploy models into our applications. Our company is putting a lot of resources into automating our business, and you will play a key role in helping drive this initiative forward.
In this role you will:
Identify, evaluate, and implement data science tools and processes
Hire and manage data scientists
Collaborate with data scientists, analytics engineering and technology to build and deploy predictive models
Monitor and tune existing models
Collaborate with leadership to identify predictive model use cases
Requirements:
(Even if you don’t check every box, but see yourself contributing, please apply.)
7+ years of technical data science experience
Experience creating credit risk predictive models
Experience working with lending related datasets including: credit bureau, public records and transaction level bank statement data
Proficient in SQL
Proficient in a scripting language, such as Python or R
Strong project management and communication skills
Preferred:
Experience as a people manager
Experience with Snowflake, Databricks, Tableau and DataRobot
#LI-TT1 #LI-Remote
Forward Financing Core Values:
Drive the Mission - We believe in financial opportunity for underserved small businesses. We say “yes” when others say “no.”
Keep It Real - We value direct communication, candid feedback, and authenticity. We are an open book.
Act With Kindness - We create an environment where caring is cool and helping is the norm. We do the right thing.
Shoot for Extraordinary - We are inspired by innovative thinking and continuous improvement. We never settle for yesterday’s best.
About Us:
Forward Financing is a fintech company headquartered in Boston that provides fast, flexible, and reliable capital to small businesses nationwide. Since 2012, Forward has provided over $1.8 billion in financing to more than 42,000 small businesses. Forward has been consistently named by the Boston Business Journal and Built In Boston (and more!) as one of the best places to work in Massachusetts.
Forward actively promotes a focus on diversity, equity, and inclusion in all we do. We encourage a workplace where trust and respect are paramount and all employees feel valued, heard, and accepted. By accepting diversity of thought, background, and identity, we will continue to become a stronger team and a better organization.
Our diverse and driven group of over 500 people, with more than 250 based in the U.S., and 250 internationally, is a 100% employee-owned company. Our employees come to work (or log on virtually!) knowing they are helping thousands of small businesses while advancing their own careers. If this sounds exciting to you, learn more about our leadership team and our open opportunities.
Perks & Benefits:
At Forward, our team members are at the heart of our company, and we are committed to taking care of them as people, not just employees. We offer a comprehensive benefits package including but not limited to: medical, dental, vision, and commuter benefits, a flexible time-off policy, 401k match, wellness reimbursement, paid volunteering days, annual professional development budget, and charitable donation match.
The health and safety of our colleagues is our top priority, which is why we will continue to follow the latest CDC guidelines on COVID-19 in our office. We have also implemented an Employee Choice policy, so that team members can work where they feel most comfortable.
At Forward, employee choice means each individual gets to decide where they work. Almost all team members have the choice of where to live and where to work. As a business, we are focused on impact; we are more concerned with your contributions to the success of the company than where you get your work done. If face-to-face time is desired, people managers are empowered to find a cadence that works for their team.
When we aren’t collaborating to drive business and support our customers, we’re finding virtual and in-person ways to get to know our colleagues, celebrate team wins, and have fun together!
California Employee Privacy Policy


Business Analytics Lead Data Science Innovation

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Busines Analytics Lead within PNC's Data Science Innovation organization, you will be based in Pittsburgh, PA. This a hybrid position with provides flexibility to work both in the office and remotely.  Certain job responsibilities may require time in the office on a regular basis.
Job Description
Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as mentor to more junior employees.Leads the development of data products by working as part of an agile crew with data scientist, engineers, and developers. Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.Determining the optimal analytic approach and supporting development, implementation and enhancements.Conceptualizing, developing and continuously optimizing analytical solution for operations and executive management to enable data driven decision making.Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Analytical Thinking – Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.Business Acumen – Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations.Business Analytics – Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions.Consulting – Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.Decision Making and Critical Thinking – Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions.Effective Communications – Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.Emerging Technologies – Knowledge of and ability to design, apply and evaluate new information technologies for business environments in order to improve work productivity and accuracy.
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Bachelors
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


Data Scientist Advanced Analytics

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all our employees feel respected, valued, and have an opportunity to contribute to the company’s success.
The Data Scientist, within PNC's C&IB Data Analytics organization, will be located in Pittsburgh, PA.
This position also offers the opportunity to work remotely from home.
As a Data Scientist within PNC’s Corporate and Institutional Banking division (C&IB), you will join the Data Analytics and Solutions team to solve some of the most impactful business problems using a variety of AI and ML technologies. You will collaborate closely with business partners and domain experts to develop innovative data driven solutions to support C&IB’s business growth.
Responsibilities include:
• Leading the design, development and monitoring of repeatable and interpretable custom models based on a deep understanding of underlying data, data structures, and business problems• Engaging with business stakeholders, product managers and engineers to understand their requirements and identify challenges• Ensuring deliverables meet client needs and lead to measurable gains through metrics that you will contribute to define• Developing user interfaces to share insights and outputs of models and analytics with business stakeholders
The successful candidate will have the following qualifications:• Master ‘s degree in a quantitative field (Computer Science, Machine Learning, Mathematics, Statistics…) or equivalent practical experience• 3+ years of experience as a Data Scientist• Strong background in probability, statistics, and machine learning algorithms• Excellent programing skills in Python and/or R• Advanced SQL skills• Experience with visualization tools such as Tableau, Dash or Shiny• Excellent written and verbal communication skills• Knowledge of the banking industry preferred
Job Description
Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.Participates in the data gathering, data processing and data mining of large and complex datasets.Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
Work Experience
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Masters
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


Senior Data Scientist Model Owner

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. Preference for candidates in the Pittsburgh, Cleveland, Columbus, or Birmingham markets.
This is a remote position that can sit within the PNC footprint, although it may not be available in all jurisdictions. There is limited expectation for regular in person, in office activities.
Duties• Assist with establishing strategic direction for PNC’s AML modeling tools that may include behavior detection, sanctions screening, forecasting, operations, and other automation tools.• Identify and capitalize upon synergies between models and data sets to improve overall effectiveness and efficiency of the AML modeling program.• Coordinate with the modeling, model risk management, AML risk management, and AML operations team to set priorities, comply with development and validation procedures, foster stakeholder buy-in, and address modeling performance issues.• Review and approve development steps for assigned AML models.• Review and approval all model documentation for assigned models.• Monitor model performance and recommend compensating measures as appropriate.• Assist with representing AML modeling function at working groups and committee meetings.• Assist with representing AML modeling function in regulatory, internal audit, and model risk management reviews.
Required Experience• Undergraduate degree in statistics, economics, financial modeling, data science, or mathematics.• Three years of experience in the construction, testing, and application of regression, decision tree, and machine learning models.
Job Description
Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Competencies
Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
Education
Masters
Additional Job Description
Base Salary: Commensurate with skills and experience.
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.
The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


Data Scientist Intern

Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety.
At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.
Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.
The Data Science & Engineering team is central to Lacework, and collaborates across multiple domains to ship value through data analysis and modeling. Our work contributes directly to delivering the core data-driven products and features that Lacework offers to its customers, as well as improving and optimizing the technologies and processes that the company relies upon.
The Role: We are looking for a Data Scientist Intern to join our Data Science & Engineering team. This is a hands-on role where you will be responsible for executing on projects with tangible deliverables for the company and to our customers. You will be expected to:

Employ languages and tools like SQL, Python, R, and/or others to perform efficient data exploration and modeling, and deploy those solutions in production.
Build actionable insights and models to help drive critical decisions and improve our products.
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision.
Build strong cross functional partnerships.
Demonstrate good communication skills and present work to peers and leadership.
Strive to use general and scalable methodologies and tools; stay current with the latest tools and techniques.

Minimum Qualifications

Currently enrolled in a degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or other related fields).
Experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB).
Experience with statistical methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection, regression analysis and/or others.
Experience developing data pipelines, building dashboard, and deploying machine learning models.
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner.

Preferred Qualifications

Currently enrolled in an advanced degree (Master’s or PhD) in a quantitative field.
Experience with cloud platforms like Snowflake, AWS, GCP, etc.
Experience in Cloud Security or Infrastructure Security.


Director Decision Science Analytics Small Business Insurance

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
This role can be remote or located at one of our USAA campuses: San Antonio, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; Chesapeake, VA or Tampa, FL.
The candidate selected for this Commercial Lines position is going to get work with the recently launched Small Business Insurance product within USAA. They will work alongside an energetic team with a startup mentality, within the incredible culture of USAA.
Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.Develops team reputation as highly skilled experts in the area of decision science support.Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs.Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change.Leads the effort and/or partners with enterprise analytics teams to build USAA core analytics capabilities and processes.Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.  Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Researches and pursues the latest and/or industry leading  practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of experience in a decision support analytic function or advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.3 years of direct team lead or management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Lead actuarial strategy for third-party data.Lead Analytic Data Consumption efforts.Lead the technical design & development for proprietary pricing algorithms.Perform of non-traditional models and data (including vendors).5+ years commercial insurance pricing or UW experience.2+ years people management experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $157,000 - $282,600.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Senior Economist

Purpose of Job
We are seeking a talented Senior Economist for our Charlotte, NC or San Antonio, TX facility.
This position may also have the option of working remotely in the continental U.S. with occasional travel as requested.
The candidate selected for this position is going to work as a Senior Economist in the Economic Forecasting Team in USAA’s Corporate Treasury area. They will work with a dynamic team providing economic forecast, macro research & insights to broader CFO community and senior leaders across the organization.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 additional years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred experience:
Economics degree or prior experience with economic forecasting and researchR/Python skillsMacro research and data analytics experience
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $106,800 - $192,300 *
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.