Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families.

We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO).

We have a newly created Data Scientist role presenting a distinctive opportunity to be part of Data Science Center of Excellence within EDAO, actively contributing to Guardian’s ongoing evolution.

Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives.

Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery.

We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders.

Our solutions and actions are critical to Guardian’s revenue growth, risk management and customer experience.

In this role as Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.

You'll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving.

You are

Passionate about cutting-edge technology and keen on applying new AI / ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

You enjoy collaborating with other Data Scientists to crack hard to solve problems with AI / ML and seeing it deployed in-market and generating value for Guardian.

You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

You will

• Analyze large, complex datasets to extract insights and decide on the appropriate techniques to uncover patterns and trends.
• Build predictive models and machine-learning algorithms; combine models through ensemble modeling.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Propose innovative ways to look at problems through using data mining and data visualization.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Present information using data visualization techniques; communicate results and ideas to key decision makers.
• Ensure data accuracy and consistent reporting by designing and reporting.
• Consistent accuracy and thoroughness in performing work assignments.
• Ability to work collaboratively with development / implementation staff through the design and build of new business processes and systems.
• Perform regular data quality control, prepare and maintain reports, and troubleshoot data anomalies.
• Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities.

You have

• Bachelor's degree required.
• PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, preferred.
• Basic experience in data analysis and statistical modeling.
• Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging / boosting artificial neural networks, etc.

and their real-world advantages / drawbacks.

• Experience with data science toolkits, such as Python or R.
• Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions.
• Knowledge of data management tools including SQL, Hadoop, or similar technologies.
• Strong problem-solving skills with an emphasis on product development.
• Effective communication skills to work with partners to identify business questions and work through their data to search for answers.

Tell meaningful story with data and explain complex solutions in a simple way.

• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment, learn rapidly, and master diverse technologies and techniques.

Location

This is a flexible position requiring 2 days a week in the office, preferably New York City, New York.

Salary Range

$89,470.00 - $146,980.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate.

In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian’s Purpose to inspire well-being we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.

Health Care

Choice of high deductible / copay medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits

Dental plan

Vision plan

Health care accounts flexible spending, health reimbursement, and health savings accounts

Critical illness insurance

Life and Disability Insurance

Company-paid Life and Disability insurance plus voluntary supplemental coverage

Accident insurance

Retirement and Financial

401(k) retirement plan with a company match, plus an annual age / service-based Company contribution and an annual profit-sharing contribution, if applicable

Complimentary 1 : 1 financial guidance with a licensed Fidelity representative

Time Off and Remote Work

Flexible work arrangements (part in-person / part remote)

Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement

Personal holidays for colleagues to use in recognition of religious, cultural, or civic days

Paid parental leave and paid family and medical leave policies

Emotional Well-being and Work-Life

Emotional well-being, mental health, and work / life resources powered by Spring Health

Wellness programs, including fitness program and equipment reimbursement

Child, adult, and elder back-up care support through Bright Horizons

Adoption assistance

College planning

Tuition reimbursement

Student loan assistance

Commuter benefits in select metropolitan areas

Justice, Equity, Diversity & Inclusion (J.E.D.I.)

Employee Resource Groups that advocate for inclusion and diversity

J.E.D.I. certification and training programs

Matching gifts / volunteering

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Leverage data science to identify patterns as part of long term strategic assessments and recommendations " Build long-range predictive models to evaluate and optimize long term goals " Simulate and predict long term demand for various scenarios to assist with investment decisions " Clearly display data visualization to convey a point in programs such as Tableau

Develop a comprehensive knowledge of the business, and utilize it to derive exacting data science project requirements from general business problem discussions

Design and code data products that implement the full scope of ingesting and updating data, building and refreshing models, scoring using those models, and then serving results on an ad-hoc and on-demand basis

Help drive A / B testing for Marketing and Product teams through reporting and insight.

Help manage prioritization in sprints and participate in daily scrums.

Partner closely with Marketing, Product, Ad Sales, Strategy, and Production teams to provide BI support and data analysis.

Create standardized reporting for multiple groups within the NBCED organization.

Provide ad-hoc analyses, troubleshooting, and deep dives as needed.

Create presentations

Quals

Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.

3+ years of combined experience in advanced analytics in industry or research.

Deep knowledge of statistical methods and machine learning with special emphasis on the advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, deep learning or reinforcement learning.

Experience implementing scalable, distributed, and highly available systems using Google Cloud.

Experience with data visualization tools and techniques.

Proficient in Python and SQL

Description :

The individual will be a hands-on data scientist being part of a team responsible for product innovation. You will be instrumental in working closely with product teams, marketing teams, engineering teams, and technical communities in incorporating data science and modern analytics into products and take an active role in effectively demonstrating how data science concepts are translated into viable solutions.

Responsibilities : (1) Advocate production-centric & end-to-end development mentality and culture changes (2) Build analytics models to analyze and derive practical insights from large volumes of data that require the expertise of data analysis & generation and feature engineering.

3) Design, develop and deploy state of the art, data-driven predictive models.(4) Develop optimization and simulation models to solve business problems using latest technologies in data mining, statistical Modeling, pattern recognition, and optimization across the chosen industry and functional area.

5) Develop proofs-of-concepts and proofs-of-technology to recommend and push optimal solutions and right technologies to production (6) Develop intellectual properties including patents and publications.

7) Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.

8) Convert code base from Python / R to production languages e.g. Java to streamline productionization.

Qualifications : (Please list all required qualifications) (1) MS or PhD with substantial experiences in highly quantitative fields.

2) Expertise in some of the following technical domains : AI / ML, Deep Learning, Cognitive Computing, Simulation, Optimization, Security, and Blockchain.

3) Experienced in at least one of the following business domains : Banking and Financial Services, Retail, Communications, Intelligent Infrastructure, Smart City, Digital Twin.

4) The qualified candidate will have a proven history of driving critical research and development and developing in-depth analytical understanding of systems.

5) 3+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets;

extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms. (6) 3+ years hands-on experience in optimization modeling, simulation and analysis.

7) Fluent in using Python, Java as a must. Good to master in C, C++, Scala, R. (8) Experienced in statistical tools including SAS, Matlab, SPSS and so on.

9) Hands-on Experience in modern AI / ML / DL platforms and tools including Spark, Tensorflow etc. (10) Strong team player - invested in the collective success of the team and project outcomes (11) Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity.

Ramp is building the next generation of finance tools-from corporate cards and expense management, to bill payments and accounting integrations-designed to save businesses time and money with every click.

Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.

Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year.

Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.

Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leadingpanies.

The Ramp teamprises talented leaders from leading financial services and fintechpanies-Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One-as well as technologypanies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.

Ramp was named Fastpany's #1 Most Innovativepany in North America in 2023 and #5 on LinkedIn Top Startups 2022.

About the Role

We're looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate.

You will partner closely in Ramp's development process through product ideation, experimental design, implementation, execution, and analysis.

You will partner closely with Ramp's operational teams to improve internal processes, build playbooks, and rmend actions.

Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day.

What You'll Do

• Develop Ramp's product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
• Contribute to Ramp's product roadmap by working closely with stakeholders throughout the lifecycle of prioritization : fromplex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
• Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large andplex product data sets
• Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
• Contribute to the culture of Ramp's data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

What You Need

• Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering,puter Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
• Strong python experience (numPy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
• Proven leadership and a track record of shipping improvements with growth and product organizations
• Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A / B testing best practices)
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

• Experience at a high-growth startup
• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• The annual salary / OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

• 100% medical, dental & vision insurance coverage for you Partially covered for your dependents One Medical annual membership
• 401k (including employer match) Please note only 401k contributions made while employed by Ramp are eligible for an employer match
• Unlimited PTO
• Fertility HRA Up to $5,000 per year
• WFH stipend to support your home office needs
• Wellness stipend
• Parental Leave
• Relocation support
• Pet insurance

Job ID 5370654002

To Apply for this Job Click Here

We're working with an innovative start-up that is bringing historic sporting events to the consumer in real-time. With already having partnerships with professional leagues like the PGA and NHL, their mission is to make sure no one misses a historic moment in sports.

We're looking for a Data Scientist, who will support the development and improvement of their proprietary algorithms powering the mobile application.

You will be joining existing data science team to build a scalable and accurate solution to serve customers personalized notifications regarding upcoming, interesting live sports look-ins.

You will be personally responsible for the personalized recommendation system. This system will be used to enhance their notification system by utilizing explicit and implicit user preferences to notify fans of notable moments across a variety of sports and leagues.

Required Qualifications

Experience with traditional data modeling and comfortable with leveraging multiple data sources

Experience with Python and SQL

Experience with statistics and or data modeling tools and analysis

Working knowledge of Unix / Linux

Working knowledge of source control systems, including Git

Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco / Silicon Valley, New York, and Austin.

To Apply for this Job Click Here