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Data Scientist Ii Jobs (NOW HIRING)

Oscar Health

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Position: Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year Client: Southern Company Position Overview The Data Scientist II is responsible for ...

Cliftonlarsonallen

Data Scientist II

Boise, ID · On-site

CLA is looking to hire a Data Scientist II; This role is responsible for independently executing data analysis, supporting model development, and contributing to internal programs that use ...

Baylor Scott & White Health

Data Scientist 2

$114K/yr

Job Summary The Data Scientist 2 works closely with key business stakeholders to develop use cases related to difficult to solve highly complex business challenges across varied workstreams in ...

Baylor Scott & White Health

$114K/yr

Job Summary The Data Scientist 2 works closely with key business stakeholders to develop use cases related to difficult to solve highly complex business challenges across varied workstreams in ...

Oscar Health

Data Scientist II

New York, NY · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Lennar

Data Scientist II

Miami, FL · On-site

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Lennar

Data Scientist II

Miami, FL

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Lennar Homes

Data Scientist II

Miami, FL

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Oscar Health

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Sentar Inc.

Data Scientist II

San Diego, CA · On-site

They are seeking a Data Scientist II to develop and analyze data-driven solutions, utilizing skills in machine learning and data analysis. Qualifications : Required : • Secret Clearance • Master ...

The Trade Desk

Data Scientist II

Irvine, CA

$130K - $170K/yr

Data Scientist II Location: 400 Spectrum Center Drive, Suite 550, Irvine, CA 92618 *Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in ...

VTG

Data Scientist

Chantilly, VA

Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently ...

Instacart

OR · On-site

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go ...

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All JobsData Scientist Ii Jobs

Data Scientist Ii information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist ii jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data scientist ii in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80 20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

What are Data Scientist II roles and responsibilities?

A Data Scientist II is typically a mid-level data science professional responsible for analyzing complex data sets, building predictive models, and deriving actionable insights for business decisions. They often work on more advanced projects than entry-level data scientists, collaborating with cross-functional teams to identify data-driven solutions. Responsibilities also include data cleaning, feature engineering, statistical analysis, and presenting findings to stakeholders. Additionally, they may mentor junior team members and contribute to the development of best practices within their organization.

What is a data scientist II?

A Data Scientist II is an experienced data professional responsible for analyzing large datasets, developing predictive models, and providing insights to support business decisions. This role typically requires proficiency in programming languages like Python or R, statistical analysis, and familiarity with machine learning tools. It often involves working in a team environment with increasing responsibilities compared to entry-level positions.

What are the key skills and qualifications needed to thrive as a Data Scientist II, and why are they important?

To thrive as a Data Scientist II, you need expertise in statistical analysis, programming (typically Python or R), machine learning, and a solid educational background in data science, computer science, or a related field. Familiarity with tools like SQL, TensorFlow, scikit-learn, and data visualization platforms, as well as experience with cloud computing environments, is often required. Strong problem-solving abilities, communication skills, and curiosity help you translate complex data into actionable insights and work effectively with cross-functional teams. These skills ensure you can drive impactful, data-driven decisions and contribute to organizational goals.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging programming skills and domain knowledge to create effective solutions. The role continues to evolve, emphasizing advanced analytics, model validation, and ethical considerations.

Is 40 too late for data science?

Data Scientist II roles often require a strong foundation in statistics, programming, and machine learning. Age is not a barrier; many professionals transition into data science later in their careers by acquiring relevant skills through online courses, certifications, and practical experience.

How does a Data Scientist II typically collaborate with other teams within an organization?

As a Data Scientist II, you’ll frequently work cross-functionally with engineers, analysts, product managers, and business stakeholders. Collaboration often involves understanding business challenges, translating them into analytical problems, and communicating actionable insights. You'll also participate in team meetings, share findings, and help integrate your models or analyses into production systems. This teamwork is essential for ensuring that data-driven solutions align with broader organizational goals and have real-world impact.
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Data Scientist Ii jobs near you
Data Scientist II

Data Scientist II

Oscar Health

New York, NY • Hybrid

$131K - $172K/yr

Other

Medical, PTO

Posted 7 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

228th of 261 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

Apply