How to hire a weather algorithm scientist

How to hire a weather algorithm scientist, step by step

Here's a step-by-step weather algorithm scientist hiring guide:

• Step 1: Identify your hiring needs
• Step 2: Create an ideal candidate profile
• Step 3: Make a budget
• Step 4: Write a weather algorithm scientist job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new weather algorithm scientist
• Step 8: Go through the hiring process checklist

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1. Identify your hiring needs

   First, determine the employments status of the weather algorithm scientist you need to hire. Certain weather algorithm scientist roles might require a full-time employee, whereas others can be done by part-time workers or contractors.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   A weather algorithm scientist's background is also an important factor in determining whether they'll be a good fit for the position. For example, weather algorithm scientists from different industries or fields will have radically different experiences and will bring different viewpoints to the role. You also need to consider the candidate's previous level of experience to make sure they'll be comfortable with the job's level of seniority.

   This list shows salaries for various types of weather algorithm scientists.

   Type of Weather Algorithm Scientist	Description	Hourly rate
   Weather Algorithm Scientist		$20-55
   Remote Sensing Engineer	A remote sensing engineer applies remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management and urban planning. They may develop new sensor systems, analytical techniques, or new applications for existing systems... Show more	$29-67
   Scientist	A scientist is responsible for researching and analyzing the nature and complexities of the physical world to identify discoveries that would improve people's lives and ignite scientific knowledge for society. Scientists' duties differ in their different areas of expertise, but all of them must have a broad comprehension of scientific disciplines and methods to support their experiments and investigations... Show more	$32-67

   Show more

2. Create an ideal candidate profile

   Common skills:

   • MATLAB
   • Image Quality

   Responsibilities:

   • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
   • Develop the ultrasound algorithm and fuzzy logic to combine ultrasound and ECG signal.
   • Design ECG biometric algorithms with state-of-the-art equal error rate.
   • Key activities include process chemistry development, synthesis of intermediates, compound purification and structure identification, and comprehensive scientific documentation.
   • Support all GMP activities for manufacturing plant equipment release, including method development and validation, and cleaning verification.

3. Make a budget

   Including a salary range in the weather algorithm scientist job description is a good way to get more applicants. A weather algorithm scientist salary can be affected by several factors, such as the location of the job, the level of experience, education, certifications, and the employer's prestige.

   For example, the average salary for a weather algorithm scientist in South Dakota may be lower than in California, and an entry-level engineer typically earns less than a senior-level weather algorithm scientist. Additionally, a weather algorithm scientist with lots of experience in the field may command a higher salary as a result.

   Average weather algorithm scientist salary

   $70,358yearly

   $33.83 hourly rate

   ---

   Entry-level weather algorithm scientist salary

   $42,000 yearly salary

   Updated December 15, 2025

   Average weather algorithm scientist salary by state

   Rank	State	Avg. salary	Hourly rate
   1	California	$82,865	$40
   2	Massachusetts	$74,793	$36
   3	Connecticut	$74,589	$36
   4	New Hampshire	$73,183	$35
   5	Pennsylvania	$72,264	$35
   6	New York	$71,838	$35
   7	West Virginia	$71,446	$34
   8	Kentucky	$67,228	$32
   9	Oklahoma	$65,857	$32
   10	Georgia	$65,210	$31
   11	Minnesota	$63,425	$30
   12	Washington	$62,967	$30
   13	Maryland	$61,813	$30
   14	Colorado	$61,770	$30
   15	Iowa	$61,424	$30
   16	Alabama	$60,887	$29
   17	Florida	$60,834	$29
   18	Wyoming	$59,973	$29
   19	Rhode Island	$59,239	$28
   20	Arizona	$58,799	$28

   Average weather algorithm scientist salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	Meta	$140,245	$67.43	566
   2	Amazon	$104,399	$50.19	697
   3	General Electric	$97,855	$47.05	15
   4	BIO-key International	$84,022	$40.40
   5	Allen Institute	$79,649	$38.29	10
   6	Science and Technology	$79,523	$38.23
   7	GE Healthcare Camden Group	$69,419	$33.37
   8	VisionGate	$69,333	$33.33
   9	Vida Diagnostics	$68,972	$33.16
   10	Nipro Diagnostics	$67,335	$32.37
   11	A&V	$63,458	$30.51

4. Writing a weather algorithm scientist job description

   A job description for a weather algorithm scientist role includes a summary of the job's main responsibilities, required skills, and preferred background experience. Including a salary range can also go a long way in attracting more candidates to apply, and showing the first name of the hiring manager can also make applicants more comfortable. As an example, here's a weather algorithm scientist job description:

   Weather algorithm scientist job description example

   I.M. Systems Group
   
   Location: US
   Category: Scientific
   
   Overview
   
   I.M. Systems Group, Inc. (IMSG)'s eIAWS solution integrates sets of heterogeneous observations (from in-situ, radar, and satellite platforms), NWP model outputs, analyses, and nowcasting results for frequently updated en-route and airport terminal aviation weather to support the decision making by domestic and international users in the civil aviation sector.
   
   We are seeking a highly motivated/talented Numerical Weather Modeling System Scientist to support multiple development needs for our customers. Solid Linux workflow programming, scientific software development, data handling skills, ability to design, enhance, and implement algorithms, and creativity are all emphasized.
   
   This position will be focused on eIAWS system integrating, which uses workflow managements (rocoto, ecflow, airflow) and scripts (bash, kshell, python) to integrate data processing, convective nowcasting, weather model initialization, atmosphere data assimilation, NWP modeling and post-processing, aviation weather product generating and delivering to an integrated operational system to work seamlessly and automatically.
   
   Work location will be at IMSG HQ Office in Rockville, Maryland and/or virtual at home with company provided computer and software.
   
   Responsibilities
   
   This scope of work will include (but not limited to)
   

   • Learning and mastering the existing algorithm and code modules;
   • Developing and maintaining workflow scripts to run multiple programs with dependencies on other and on time;
   • Conducting and monitoring Nowcasting and NWP model operations on daily basis;
   • Cooperating with other team members to ensure data flow throughout the entire prediction process;
   • Assisting in product visualization, distribution and performance evaluation;
   • Deploying the upgrades to production system;
   • Documenting the development and user operations and maintenance manual.

   
   
   Qualifications
   
   

   • MS or above in Meteorology or Atmospheric Science; BS with sufficient background will be considered; Computer Science Degree major or minor will be a plus.
   • In-depth training background or hands-on experience in science-based algorithm code development;
   • Familiar with or capable of handling large variety and volume of weather data flow for in-situ, radar, satellite, model outputs covering observations, forecasts, and analyses;
   • Capable of handling various weather data formats: binary, ASCII, GRIB, NetCDF, HDF, etc.
   • Experience in operating weather data assimilation (DA) systems such as WRFDA, GSI, etc.
   • Experience in designing and executing one or more of operational NWP models such as WRF, NMMB, UFS, etc.
   • Experience working in UNIX/Linux environments.
   • Strong ability to independently learn, digest, and tailor existing algorithms, and/or design and implement new algorithms, along with testing, verification, and validation.
   • Solid skills in algorithms coding using one or more other core scientific programming and/or software development languages including, Fortran, C/C++, Python; scripting skills using shell script, etc.
   • Understands basic elements of web page design, including html, php, and javascript.
   • Self-motivated and ability to work independently with minimal supervision;
   • Team playing; Ability to communicate and coordinate with the Team Leader and other developers.
   • Quick and responsive to implement Team leader' ideas and algorithms, asking questions and willing to try and learn.

   
   
   Preferred Skillsets:
   

   • Familiarity with operational meteorological centers

   • Experience in optimization of complex scientific code in a parallel programming environment;
   • Experiences in running complex jobs, and processing large amounts of numerical output data on mainframe supercomputers and/or workstations in a Linux environment, using advanced statistical and display tools.

   • Familiar with operational-critical aviation weather hazards, e.g. thunderstorm, convection, microburst, turbulence, winds, and icing and the general methodology to detect and monitor them from multi-source raw observation data.
   • Experience with the GIT, e.g. GitLab repository
   • Experience with SQL or NoSQL database

   
   Candidates must be a U.S. Citizen or Green Card Holder to qualify
   
   (US Citizen must live in US for 3-5 years prior to application)
   
   (Please indicate in your cover letter).
   
   To Apply :
   
   Please apply online at . In your cover letter, please indicate the following information:
   
   1) Timeline of availability
   
   2) Citizenship Status
   
   3) Salary requirements for considerations
   
   NOTE: Provide three References
   
   

   PI

   Copy this example

   

5. Post your job

   There are a few common ways to find weather algorithm scientists for your business:

   • Promoting internally or recruiting from your existing workforce.
   • Ask for referrals from friends, family members, and current employees.
   • Attend job fairs at local colleges to meet candidates with the right educational background.
   • Use social media platforms like LinkedIn, Facebook, and Twitter to recruit passive job-seekers.

   Post your job online:

   • Post your weather algorithm scientist job on Zippia to find and recruit weather algorithm scientist candidates who meet your exact specifications.
   • Use field-specific websites.
   • Post a job on free websites.

6. Interview candidates

   Your first interview with weather algorithm scientist candidates should focus on their interest in the role and background experience. As the hiring process goes on, you can learn more about how they'd fit into the company culture in later rounds of interviews.

   You should also ask about candidates' unique skills and talents to see if they match the ideal candidate profile you developed earlier. Candidates good enough for the next step can complete the technical interview.

   The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

7. Send a job offer and onboard your new weather algorithm scientist

   Once you've decided on a perfect weather algorithm scientist candidate, it's time to write an offer letter. In addition to salary, it should include benefits and perks available to the employee. Qualified candidates may be considered for other positions, so make sure your offer is competitive. Candidates may wish to negotiate. Once you've settled on the details, formalize your agreement with a contract.

   It's also good etiquette to follow up with applicants who don't get the job by sending them an email letting them know that the position has been filled.

   To prepare for the new weather algorithm scientist first day, you should share an onboarding schedule with them that covers their first period on the job. You should also quickly complete any necessary paperwork, such as employee action forms and onboarding documents like I-9, benefits enrollment, and federal and state tax forms. Finally, Human Resources must ensure a new employee file is created for internal record keeping.

8. Go through the hiring process checklist

   • Determine employee type (full-time, part-time, contractor, etc.)
   • Submit a job requisition form to the HR department
   • Define job responsibilities and requirements
   • Establish budget and timeline
   • Determine hiring decision makers for the role
   • Write job description
   • Post job on job boards, company website, etc.
   • Promote the job internally
   • Process applications through applicant tracking system
   • Review resumes and cover letters
   • Shortlist candidates for screening
   • Hold phone/virtual interview screening with first round of candidates
   • Conduct in-person interviews with top candidates from first round
   • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
   • Conduct background checks on top candidates
   • Check references of top candidates
   • Consult with HR and hiring decision makers on job offer specifics
   • Extend offer to top candidate(s)
   • Receive formal job offer acceptance and signed employment contract
   • Inform other candidates that the position has been filled
   • Set and communicate onboarding schedule to new hire(s)
   • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)

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