0 Negotiable or Not Mentioned
USA, Chicago
10 days ago
roberthalf.com
474 Views
As data becomes increasingly vital to business operations, Robert Half is looking to connect UIC recent graduates with entry-level Analytics roles through their upcoming Open House in Chicago. This event provides a platform for data-driven individuals to showcase their skills to recruiters and gain a competitive edge in the job market. Participants will learn about the current demand for analytical skills across various industries in the Chicago region.
The Junior Data Analyst will be responsible for gathering, cleaning, and analyzing data sets to provide actionable insights. You will work closely with different business units to understand their data needs and create reports that help track performance metrics. This role requires a blend of technical proficiency and the ability to communicate technical findings to non-technical stakeholders, making it a pivotal role for modern business growth.
Key Requirements
Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics
Basic knowledge of SQL for data extraction
Familiarity with data visualization tools like Tableau or PowerBI
Strong statistical and mathematical foundations
Proficiency in Microsoft Excel for data manipulation
Excellent logical reasoning and critical thinking skills
Ability to translate data into meaningful business insights
Strong attention to detail and commitment to data integrity
Effective communication skills for presenting findings
Willingness to keep up with emerging data technologies
0 Negotiable or Not Mentioned
USA, Chicago, IL
11 days ago
gmail.com
487 Views
Our organization is looking for a detail-oriented Data Analyst to join our office in Chicago, IL. This role is designed for individuals who are passionate about transforming raw data into actionable insights to drive business decisions. We welcome applicants with up to 6 years of experience, including students and international candidates seeking career growth in the United States.
As a Data Analyst, you will be responsible for data cleaning, statistical analysis, and creating visual reports for stakeholders. You will utilize various tools and technologies to manage large datasets and provide meaningful conclusions. This is a great opportunity to work in a collaborative tech environment while building a strong foundation in data science and business intelligence.
Key Requirements
Strong proficiency in SQL for data extraction and manipulation
Experience with data visualization tools like Tableau or Power BI
Advanced knowledge of Microsoft Excel for data modeling
Solid understanding of statistical analysis methods
Familiarity with scripting languages like Python or R for data analysis
Meticulous attention to detail and accuracy in reporting
Ability to present complex data findings to non-technical audiences
Bachelor's degree in Mathematics, Statistics, or Information Systems
Strong organizational and time management skills
Open to candidates on F1, OPT, CPT, or STEM OPT visas
0 Negotiable or Not Mentioned
USA, West Palm Beach, Florida
13 days ago
cloudoneinc.com
717 Views
Cloud One Inc is recruiting a Senior Data Scientist for a 12-month onsite position in West Palm Beach, Florida. This role requires full-time attendance (5 days a week) at our facility, making local candidates or those willing to relocate the preferred choice. The successful candidate will apply advanced statistical and machine learning techniques to derive actionable insights from complex datasets, supporting critical business decision-making processes.
You will work closely with engineering and product teams to design, develop, and deploy scalable data models. With over 12 years of experience required, you will be expected to lead data-driven projects, optimize existing algorithms, and ensure the integrity of the data infrastructure. This is a genuine opportunity for a data professional to influence the technological roadmap of the company while working on-site in a collaborative and fast-paced environment in West Palm Beach.
Key Requirements
Minimum of 12 years of professional experience in Data Science or a related analytical field.
Proficiency in Python or R for data analysis and predictive modeling.
Strong experience with machine learning libraries such as Scikit-Learn, TensorFlow, or PyTorch.
Solid foundation in statistical analysis, probability, and advanced mathematics.
Ability to work onsite 5 days a week in West Palm Beach, Florida.
Advanced experience with SQL and querying large relational databases.
Knowledge of Big Data technologies including Spark, Hadoop, or Hive.
Proven track record of deploying machine learning models into production environments.
Excellent communication skills to present complex findings to non-technical stakeholders.
A Master's or PhD in Data Science, Statistics, Mathematics, or a quantitative discipline.
0 Negotiable or Not Mentioned
USA
16 days ago
vhsconsulting.net
1082 Views
VHS Consulting is seeking an experienced Data Scientist for a long-term contract position supporting a client with operations in Plano, Texas, and New Jersey. This role requires a professional with over ten years of experience and a strong academic background in Statistics, preferably at the Master’s level or higher. The ideal candidate will have a proven ability to manage complex and unstructured datasets with minimal supervision, focusing on solving overarching business questions such as the impact of pricing on volume demand while considering availability constraints. The position is available in multiple locations across the United States, specifically in Plano, Texas, and New Jersey. Candidates must have extensive experience with advanced statistical and econometric models, including constrained hierarchical GLMs and Bayesian hierarchical models. Proficiency in working with large-scale datasets in cloud-based environments like Databricks is essential. Additionally, familiarity with Git for version control is required to ensure a smooth onboarding process and efficient collaboration within the technical team. Please note that this requirement is specifically for H1B visa holders. Work locations include Plano, TX, and New Jersey, NJ, providing multiple options for qualified candidates within the United States.
Key Requirements
Master’s degree or higher in Statistics or a related quantitative field.
Minimum of 10 years of professional real-world experience in data science.
Expertise in handling complex and messy datasets with minimal direction.
Strong ability to explore data to solve specific business goals or questions.
Experience with constrained hierarchical GLMs with weighted partial pooling.
Advanced knowledge of Bayesian hierarchical models with weighted partial pooling.
Hands-on experience with constrained random coefficient models.
Proven experience working with large-scale datasets in cloud environments like Databricks.
Proficiency in using code version control systems such as GitHub.
Must hold a valid H1B visa status to be eligible for this role.
Solid background in econometric modeling and statistical analysis.
Ability to model complex constraints such as volume demand and availability.
0 Negotiable or Not Mentioned
USA, Cupertino
16 days ago
hrpundits.com
893 Views
The Reliability Engineer will join an innovative hardware development group to lead and execute reliability tests on new devices and supplier technologies. This role is responsible for the development of new test procedures to quantify design reliability and conducting deep-dive failure analysis resulting from these tests. You will work within a dynamic team environment, contributing to the development of next-generation hardware through rigorous testing and data-driven insights.
Key responsibilities include preparing concise and detailed test plans and reports, performing statistical data analysis to provide risk assessments, and prioritizing tasks to meet tight deadlines. You will interact with a wide variety of individuals and teams to communicate results and provide design input to improve product reliability. The role requires a candidate who can research new technologies to determine failure modes and develop specific reliability specifications for consumer electronics.
Key Requirements
Experience performing reliability testing including Mechanical Stress Tests, Shock, Drop, and Vibration Testing.
In-depth knowledge of industry test Standards such as JEDEC, ASTM, and IEEE.
Proven application of Design of Experiments (DOE) and Failure Modes and Effects Analysis (FMEA).
Proficiency in Failure Analysis analytical techniques including Optical Microscopy and X-Ray.
Experience with SEM/EDS, FTIR, and XPS analytical methods.
Ability to use fundamental failure analysis methodology to derive a root cause of failure.
Engineering degree (BS or MS) in Materials Science, Mechanical engineering, or Electrical engineering.
Minimum of 3+ years of experience in a related engineering field or industry.
Excellent written and verbal communication skills in English for technical reporting.
Ability to manage multiple projects simultaneously and resolve problems independently.
0 Negotiable or Not Mentioned
USA, Malvern
28 days ago
judge.com
1308 Views
We are seeking a highly skilled AI/ML Data Scientist to join our team for a long-term engagement in Malvern, Pennsylvania. This is a hybrid role that requires the candidate to be onsite from day one to collaborate effectively with the local team. The successful applicant will be responsible for designing and implementing advanced machine learning algorithms and artificial intelligence models to extract valuable insights from complex datasets. You will work closely with cross-functional teams to identify business opportunities where AI and ML can drive significant impact and efficiency.
This contract position has an expected duration of over one year, providing a stable opportunity to contribute to high-impact projects. The selection process will include video interviews for shortlisted candidates. Applicants are required to submit a comprehensive resume along with a copy of their work authorization and a link to their professional LinkedIn profile. This role is ideal for individuals who thrive in a data-driven environment and possess a strong technical foundation in modern data science practices.
Key Requirements
Proficiency in Python, R, or similar programming languages for data analysis.
Proven experience in developing and deploying Machine Learning and AI models.
Ability to work onsite in Malvern, PA on a hybrid schedule from the first day.
Strong understanding of statistical concepts and probability theory.
Experience with data visualization tools such as Tableau, PowerBI, or Matplotlib.
Ability to clean, preprocess, and manage large-scale datasets efficiently.
A valid work authorization copy must be provided with the application.
Provision of a professional LinkedIn profile URL for background verification.
Excellent communication skills to translate technical findings to stakeholders.
Master’s or PhD degree in Computer Science, Data Science, or a related quantitative field.