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Data Science Assistant Jobs in Michigan (NOW HIRING)

Entry-Level Data Engineer

Detroit, MI ยท On-site

$104K - $125K/yr

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ... We assist in filing for STEM extension and also for H1b and Green card filing to Candidates please ...

Those in data, analytics and technology solutions at PwC will assist clients in developing ... science manager What Sets You Apart - Bachelor's Degree in Accounting, Business Analytics ...

Manager, Data Engineering

Detroit, MI ยท On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

Manager, Data Engineering

Detroit, MI ยท On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

AI Data Engineer - Manager

Detroit, MI

$113K - $136K/yr

You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML ... Build tools and capabilities that assist with data ingestion, feature engineering, data management ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What cities in Michigan are hiring for Data Science Assistant jobs? Cities in Michigan with the most Data Science Assistant job openings:
Entry-Level Data Engineer

Entry-Level Data Engineer

SynergisticIT

Detroit, MI โ€ข On-site

$104K - $125K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
Entry level Job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the Job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as Clients now post covid can also hire remote workers which increases even more competition for jobseekers.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Visualization engineers, BI Analysts, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
For preparing for interviews please visit https://www.synergisticit.com/interview-questions/
We are looking for the right matching candidates for our clients
Please apply via the job posting
REQUIRED SKILLS For Java /Full stack/Software Programmer
โ€ข Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
โ€ข Highly motivated, self-learner, and technically inquisitive
โ€ข Experience in programming language Java and understanding of the software development life cycle
โ€ข Project work on the skills
โ€ข Knowledge of Core Java , javascript , C++ or software programming
โ€ข Spring boot, AWS, Microservices, Docker, Jenkins and REST API's experience
โ€ข Excellent written and verbal communication skills
For data Science/Machine learning Positions
REQUIRED SKILLS
โ€ข Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
โ€ข Project work on the technologies needed
โ€ข Highly motivated, self-learner, and technically inquisitive
โ€ข Experience in programming language Java and understanding of the software development life cycle
โ€ข Knowledge of Statistics, Python, Computer Vision, data visualization tools
โ€ข Excellent written and verbal communication skills
Preferred skills: Snowflake, Databricks, LLM, Gen AI, Text mining, Tableau, PowerBI, SAS, Tensorflow
If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates