You haven't searched anything yet.
Tranzeal is an industry leading global Business Transformation Service Provider offering specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Our Consulting Services are dedicated to helping our clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal s deep industry experience makes us the partner of choice for a growing number of Fortune 1000 companies, midsize enterprises and small businesses worldwide.
We are currently looking for 'Data Scientist (Image Processing)' to support one of our clients with the following skills:
Requirement:
Role: Data Scientist (Image Processing)
Location: Tucson, AZ (Hybrid 2 to 3 days onsite per week)
Duration: 12 months
Must Haves:
Diagnostic / medical / bio-pharma / Bio-Tech background is mandatory
Digital Pathology is good to have but not mandatory.
Must be technically strong on IMAGE ANALYSIS - Analytical Computational analysis
Team made up of Biochemists, Engineers and Data Science Org as well
This person is between Engineer and Data Science team
It is a Research Role not a production role
Matlab C is needed for image processing.
Python experience is a must
Research End of Production cycle
Algorithms work
Data Science as their home language. ML and Deep Learning they must have done.
Sorting data and working with Wet lab and software engineers
We follow Scrum methodology
Good Communication
The national base pay range below is a good-faith estimate of what our client may pay for new hires. Actual pay may vary based on Client's assessment of the candidates knowledge, skills, abilities (KSAs), related experience, education, certifications and ability to meet required minimum job qualifications. Other factors impacting pay include prevailing wages in the work location and internal equity. $100,000 - $108,000
Note: Please send your updated resumes to sureshs(at)tranzeal(dot)(com)
Full Time
Business Services
$103k-127k (estimate)
04/28/2024
06/27/2024
tranzeal.com
SAN JOSE, CA
25 - 50
Private
AKHIL KHERA
<$5M
Business Services
The job skills required for Data Scientist (Image Processing) include Analysis, Data Science, Python, Algorithms, Deep Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (Image Processing). 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 (Image Processing). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist (Image Processing) positions, which can be used as a reference in future career path planning. As a Data Scientist (Image Processing), 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 (Image Processing). You can explore the career advancement for a Data Scientist (Image Processing) 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.