Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Sterling Heights, MI, with a contract length of Temp-to-Perm, offering up to $70/hr. Requires 5+ years of experience in data analysis, machine learning, and statistical modeling, along with a relevant degree.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
560
🗓️ - Date discovered
May 4, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Sterling Heights, MI
🧠 - Skills detailed
#Computer Science #Normalization #Keras #Spark (Apache Spark) #Deep Learning #Statistics #Data Extraction #C++ #Pandas #Python #PyTorch #Data Manipulation #ML (Machine Learning) #Risk Analysis #Visualization #Matlab #Clustering #Data Mining #Programming #Data Analysis #BI (Business Intelligence) #SQL (Structured Query Language) #Microsoft Power BI #Scripting #Hadoop #"ETL (Extract #Transform #Load)" #Data Science #Big Data #TensorFlow #Classification #Tableau #Libraries #Matplotlib #NumPy
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advantage Technical, is seeking the following. Apply via Dice today! Job Title: Data Scientist Job Location: Sterling Heights, MI Hourly Rate: Up to $68-70hr depending on experience. Job Summary: • Come join our team! We currently have an exciting possible Temp-to-Perm opportunity in Sterling Heights, MI for a talented and motivated Data Scientist with 5+ years of experience to provide technical expertise and support for Predictive Maintenance (PdM) Technologies for our Combat Vehicles. • The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. • You will work closely with cross-functional teams to uncover insights from data and help drive data-driven decision-making. Job Description: • Develop and implement machine learning-based models and algorithms to predict vehicle components failure and maintenance needs, collecting and analyzing data from various vehicle sensors and systems. • Perform statistical analysis and hypothesis testing. • Collaborate with stakeholders to understand business needs and translate them into data requirements. • Create data visualizations and dashboards to communicate findings to non-technical audiences. • Collaborate with stakeholders to ensure effective implementation of predictive maintenance models. • Continuously monitor and improve the performance of existing models. • Continuously improve predictive maintenance processes and technologies through research and innovation and stay up to date with the latest industry trends and technologies and best practices. Required: • Minimum of 5 years of experience as a Data Scientist or in a similar role. • Solid knowledge and proven experience with Statistical Analysis, Data Mining, Pattern Recognition, Machine Learning, Deep Learning, Classification, and Clustering. • Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn. • Solid knowledge and proven experience with complex SQL scripting, queries, and database normalization methods for data extraction and manipulation. • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. • Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with big data technologies such as Hadoop, Spark, or Hive. • Knowledge of Reliability Testing, Risk Analysis: Failure Modes and Effects Analysis (FMEA) • Good programming skills in Python, MATLAB, and C/C++. • Knowledge of communication protocols (e.g., CAN, Ethernet). • Strong problem-solving and analytical skills. • Strong verbal written communication, and presentation skills • Ability to work well in a team environment and collaborate with various stakeholders. • Problem solving and analytical skills to identify issues, troubleshooting problems and find solutions. • Time management - ability to prioritize tasks and manage time efficiently. Education: • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Note: " After you have applied, download our Staffmark Group WorkNOW App to receive real-time job offers and apply for additional opportunities. You can download it from the App Store or get it on Google Play. About Advantage Technical With company roots going back over 30 years, Advantage Technical is an engineering and information technology services company and a national leader in the provision of technical resources today. These services include Staff Augmentation, Direct Placement, Project Resourcing and Outsourcing - delivered from 40 key market locations, by over 3500 specialized contractors, to over 500 clients across North America. Advantage Technical is a Best of Staffing Diamond Award winner for both Clients and Talent. For more information about the industries and services offered by Advantage Technical, please visit . Advantage Technical is committed to providing equal employment opportunity for all persons regardless of race, color, religion (including religious dress and grooming practices), sex, sexual orientation, gender, gender identity, gender expression, age, marital status, national origin, ancestry, citizenship status, pregnancy, medical condition, genetic information, mental and physical disability, political affiliation, union membership, status as a parent, military or veteran status or other non-merit based factors. We will provide reasonable accommodations throughout the application, interviewing and employment process. If you require a reasonable accommodation, contact your local branch. Advantage Technical is an E-Verify employer. This policy is applicable to all phases of the employment relationship, including hiring, transfers, promotions, training, terminations, working conditions, compensation, benefits, and other terms and conditions of employment. All employees are directed to familiarize themselves with this policy and to act in accordance with it. All decisions with respect to employment matters and other phases of employer-temporary employee relationships will be in keeping with this policy and in accordance with all applicable laws and regulations.