- Search jobs
- Manchester, NH
- scientist
Scientist Jobs in Manchester, NH
Create a job alert for this search
Scientist • manchester nh
Principal Data Scientist
MaximusManchester, US- Promoted
Early Career Environmental Scientist
WSPMerrimack, NH, United StatesRemote Biology PhDs with published papers - AI Trainer ($80-$125 per hour)
MercorManchester, New Hampshire, US- Promoted
Senior Industrial Hygienist
TerraconManchester, NH, United StatesRemote Physical Scientist Talent Network - AI Trainer ($60-$80 per hour)
MercorManchester, New Hampshire, USThe average salary range is between $ 102,500 and $ 130,000 year , with the average salary hovering around $ 108,350 year .
- information security (from $ 180,913 to $ 246,400 year)
- front end engineer (from $ 235,175 to $ 246,400 year)
- software engineering manager (from $ 207,494 to $ 246,400 year)
- solutions architect (from $ 130,000 to $ 246,400 year)
- researcher (from $ 36,563 to $ 246,250 year)
- hospital (from $ 41,995 to $ 245,000 year)
- security manager (from $ 151,573 to $ 240,788 year)
- model (from $ 149,050 to $ 223,950 year)
- data engineer (from $ 133,000 to $ 211,350 year)
- Seattle, WA (from $ 95,073 to $ 187,299 year)
- Boston, MA (from $ 94,967 to $ 174,342 year)
- Washington, DC (from $ 87,544 to $ 171,269 year)
- Austin, TX (from $ 68,845 to $ 170,000 year)
- San Francisco, CA (from $ 80,510 to $ 169,988 year)
- San Jose, CA (from $ 79,973 to $ 169,474 year)
- San Antonio, TX (from $ 79,984 to $ 168,143 year)
- San Bernardino, CA (from $ 79,914 to $ 167,973 year)
- San Mateo, CA (from $ 79,875 to $ 167,970 year)
- San Diego, CA (from $ 79,970 to $ 167,293 year)
The average salary range is between $ 63,921 and $ 150,000 year , with the average salary hovering around $ 96,757 year .
Related searches
Principal Data Scientist
MaximusManchester, US- Full-time
Essential Duties and Responsibilities :
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI / ML initiatives as well as develop AI / ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement / maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics / AI / ML tools, techniques, and languages.
- Mentor more junior data analysts / data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities :
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production / operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable) :
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI / DS / or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications :
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc.)
- Experience developing machine learning or signal processing algorithms.
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI or modeling and simulation.
- Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres.
- Strong knowledge of data structures, common computing infrastructures / paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Use and development of program automation, CI / CD, DevSecOps, and Agile.
- Experience managing technical teams delivering technical solutions for clients.
- Experience working with optimization problems like scheduling.
- Experience with Data Analytics and Visualizations.
- Cloud certifications (AWS, Azure, or GCP).
- 10+ yrs of related experience in AI, advanced analytics, computer science, or software development.
techjobs #Veteranspage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
156,000.00
Maximum Salary
235,000.00