Top 19 machine learning engineer Jobs in reno, nv

Data Scientist
Capital Insurance Group —Reno, NV
- $91,761 - $152,938 a year
- Full-time
- Hybrid work
- 7 years
- Mid-level
- US work authorization
- Profit sharing
- Commuter assistance
Data Engineer
Ormat Technologies —Reno, NV
- Computer science
- Azure
- Computer Science
Machine Learning Engineer- AI Data Platform (Reno, NV)
MOBE, LLC —Reno, NV
- Full-time
- Continuous improvement
- US work authorization
- Senior level
Quick Apply
Mechanical Engineer, Cooling System Modular Design
Google —Reno, NV
- $144,000 - $209,000 a year
- Full-time
- 5 years
- Master's degree
- Analysis skills
- Paid holidays
- Disability insurance
Senior Manufacturing Engineer
Amperesand —Reno, NV
- $130,000 - $150,000 a year
- Hybrid work
- 5 years
- Analysis skills
- Travel
- Commuter assistance
- Paid parental leave
Manufacturing Engineer I
PECNA Panasonic Energy Corporation of North America —Sparks, NV
- Full-time
- Bachelor of Science
- Office
- High school diploma or GED
Mechanical Engineer, Cooling System Design and Analysis
Google —Reno, NV
- Full-time
- Google Workspace
- Engineering
- Data analysis skills
14d
Mechanical Engineer II
PECNA Panasonic Energy Corporation of North America —Sparks, NV
- Full-time
- Microsoft Excel
- Microsoft Outlook
- Computer literacy
Sr. Equipment Engineer, Components
Tesla —Sparks, NV
- Full-time
- 7 years
- Experience equivalent to degree accepted
- Computer skills
- Commuter assistance
- Health savings account
Equipment Engineer, Battery Enclosure, Powertrain
Tesla —Sparks, NV
- Full-time
- Mid-level
- Computer skills
- In-person
- Commuter assistance
- Health savings account
Manufacturing Equipment Engineer, Battery Pack, Powertrain
Tesla —Sparks, NV
- Full-time
- Mid-level
- Experience equivalent to degree accepted
- Computer skills
- Commuter assistance
- Health savings account
Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing
Tesla —Sparks, NV
- Full-time
- Engineering
- Organizational skills
- Computer skills
- Commuter assistance
- Health savings account
Lead Software Engineer, Platform
Rise Technical Recruitment Limited —United States
- $190,000 - $220,000 a year
- Full-time
- Remote
- AWS
- Mentoring
- Senior level
- 401(k)
- Paid time off
Quick Apply
23h

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Data Scientist

Capital Insurance Group -
Reno, NV

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Job Details

Full-time
$91,761 - $152,938 a year

Benefits

Profit sharing
Commuter assistance
Health savings account
AD&D insurance
Paid holidays
Disability insurance
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching
Employee discount
Gym membership
Referral program
Pet insurance

Qualifications

7 years
Mid-level
Communication skills

Full Job Description

Why CIG?

At Capital Insurance Group we offer our employees more than just a job. We foster career growth, provide opportunities to give back to our communities, and help you take the next step in your career!

CIG was founded in 1898 by a group of earnest farmers in need of protection and today, we are the leading West Coast Property & Casualty insurer. CIG is certified as a Great Place to Work and provides a collaborative, inclusive, and fun work culture for all employees.

Why choose CIG’s Actuary and Analytics Team?

The Actuarial and Analytics team is where you can hone your problem-solving abilities, develop inspired solutions to emerging issues, and grow into a technical insurance leader within CIG.

Benefits

Accrue twenty-one days of Paid Time Off during your first year
Up to eighty-seven percent of benefits are covered by CIG for you and your family members
- Medical, Dental, Vision plans, Telehealth
One hundred percent covered plans
- Basic Life & AD&D
- Employee Assistance
- Leave Management
- Long Term Disability
- Short Term Disability (Outside of CA)
- Employee Benefit Advocacy Hot Line

Family Caregiver Support (Homethrive)
Child Care Resources (Tootris)
Business Travel Accident Protection
Voluntary benefit offerings
- Short-term Disability (CA only)
- Voluntary Life AD&D self, spouse, and child plans
- Flexible Spending (FSA)
- Health Savings (HSA)
- Hospital Indemnity
- Accidental Injury
- Pet Insurance
- Commuter Benefit

Critical Illness
ARAG Legal Services
Norton LifeLock
Nine paid holidays, plus two floating holidays
Above and Beyond Reward Recognition Program
- Kudos & Shout Out Points Program
- Quarterly Above and Beyond Bonus Program
- Annual Above and Beyond Bonus Program
Competitive compensation
- Base compensation
- Salary Management Spot Bonuses
- Annual Incentive/Profit sharing program, potential payout annually based on company results.
Discount partnerships
- Gym memberships, credit union, travel, shopping, restaurants, theme parks, and more
Insurance, educational reimbursement, and bonus programs
Employee Referral Bonus Program
Home and Auto Insurance Discount Program.
Paid Volunteer Time – Through company-planned community events and choose your own adventure PVT in giving back in ways that are meaningful to you!
Retirement savings benefit (401k and Roth + match)
Health & Financial Wellness
- Wellness platform, tools, and events - Vitality
- Health Savings Account – match
- Financial Wellness Resources

Work Environment

This is a hybrid-eligible position, where Monday through Wednesday would be working in one of our offices, with Thursday and Friday eligible for work-from-home days. Office locations include: Reno (NV), Monterey (CA), and Phoenix (AZ).

JOB OVERVIEW:

Capital Insurance Group is seeking a candidate to join our Actuarial & Analytics Department. We look to partner with a candidate who fits with the CIG culture, excels as a decision enabler, and can effectively collect and communicate results to key stakeholders. This person will help shape the Actuarial & Analytics department, driving strategy and analytics objectives.

RESPONSIBILITIES:

As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to improving claim outcomes by building predictive claim metrics. The successful candidate has good business judgement, enjoys finding and creatively solving complex business issues, and successfully drives projects through to implementation.

Advanced Analytics – Understand and implement predictive modeling and machine learning techniques (e.g. regression, classification, clustering) and how they apply in insurance. You will be responsible for fully understanding techniques used, explaining validation metrics, identifying optimal models, etc.
Story Telling – Demonstrate experience working with data visualization. Communication will be fundamental to success. You will be responsible for fully understanding department-specific needs, identifying and producing robust, intuitive solutions that enable decision makers.
Collaboration – Work directly with internal partners to effectively launch analytics solutions across the organization. Success will be measured by the ability to effectively integrate analytics solutions into existing workflows and achieve buy-in from all parties, ultimately translating into improved financial performance.
Dataset Architecture – All valuable analyses start with quality data. You will be responsible for compiling relevant data from multiple internal databases, utilizing alternative data for validation, and clearly documenting your process.
Education – Actively pursue continuing education development opportunities. You will have access to several continuing education programs offered through CIG including analytics and data science training. CIG also supports travel to conferences that offer career development opportunities when available.
Leadership – You will have opportunities to work on highly visible projects. You will be expected to pitch ideas and influence the status quo.
Manage – Responsible for managing multiple high visibility projects at once. You will be expected to prioritize and execute projects in the face of ambiguity.

Job description is not prescriptive, but rather a guide as to the duties and responsibilities you will have, however it is not limited to the listed above.

MINIMUM REQUIREMENTS:

Possesses a Bachelor’s, Master’s, or PhD in a quantitative or scientific field
7+ years of experience required. Special consideration will be given to candidates with advanced machine learning experience
Experience creating and completing end-to-end analyses or modeling projects
Background in statistics
Demonstrated ability to implement findings from predictive modeling analyses
Extensive experience using SQL and a comprehensive understanding of relational databases is required
Advanced knowledge of Python, R, or another object-oriented statistical language
Experience with data visualization software (e.g., Tableau) is a plus
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.

Career Path potential:

Senior Data Scientist
Analytics Manager
Lateral Career Path option
- Senior Data Engineer

Salary Range: $91,761 - $152,938

The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as benefits and bonus programs.

Apply Now

Refine Your Search

machine learning engineer jobs in reno, nv

Data Scientist

Data Engineer

Machine Learning Engineer- AI Data Platform (Reno, NV)

Mechanical Engineer, Cooling System Modular Design

Senior Manufacturing Engineer

Manufacturing Engineer I

Mechanical Engineer, Cooling System Design and Analysis

Mechanical Engineer II

Sr. Equipment Engineer, Components

Equipment Engineer, Battery Enclosure, Powertrain

Manufacturing Equipment Engineer, Battery Pack, Powertrain

Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing

Lead Software Engineer, Platform

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