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About Us:
At IR Labs, we are on a mission to revolutionize the way businesses harness the power of data. We are not just building products; we are shaping the future of business innovation. Our mission is to create cutting-edge AI solutions that redefine industries and enhance everyday life for our customers. Our transformative AI and analytics solutions are designed to unlock new insights, drive innovation, and create competitive advantages for our customers. We are a passionate team of technologists, data scientists, and innovators dedicated to building groundbreaking technology. Join us as we lead the way in AI and analytics, transforming visionary ideas into impactful solutions. Together, we will redefine what it means to innovate and succeed in the digital age.
Position Overview:
As a Data Scientist at IR Labs, you'll play a pivotal role in developing cutting-edge technology that transforms raw data into actionable insights. You’ll be at the forefront of building and validating early-stage solutions that prove the value of our offerings to customers. This is a unique opportunity to make a significant impact in a dynamic startup environment, working alongside a passionate team dedicated to pushing the boundaries of what's possible with data. Everything you'll be doing will be charting new territory as the first data scientist to join IR Labs, so you get to put your mark on this! If this sounds exciting to you, then we need to talk!
Responsibilities:
Qualifications:
What We Offer:
The base compensation range for this position is $230,000 - $250,000 plus yearly variable compensation, based on KPIs and performance. Actual compensation may vary from posted hiring range based on geographic location, work experience, education, and/or skill level.
At IR we celebrate, support, and thrive on difference for the benefit of our employees, our products, and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Full Time
Consumer Services
$111k-137k (estimate)
06/23/2024
07/13/2024
irgroupco.com
FAIR OAKS, CA
50 - 100
Private
SCOTT MCCONNELL
$10M - $50M
Consumer Services
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, Insight, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.