- UpvoteDownvoteShare Job
- Suggest Revision
Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, structural equation modeling, factor analysis, data mining, NLP techniques.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Help define new approaches to metrics and methods - Work with data science and data engineering teams to develop success metrics and evaluation solutions - Work with annotation operation teams to optimize and lead human data collection and evaluation efforts - Work with engineering, privacy, and legal teams to develop safe data collection.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
7+ years of experience with data exploration, data cleaning, data analysis, data visualization, and data mining. Bachelor’s degree in Computer Science or 10+ years of experience in Data Engineering and Front-End Development in lieu of a degree.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Drive research and development of statistical, machine learning models, network clustering algorithm to develop narrative analytics tools with in-house and outsourced data science and/or machine learning teams.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in metallurgy, fractography, fracture modes, analysis of mechanical parts/components/systems, forensic failure investigations, and materials characterization within relevant process industries (e.g., petrochemical, refining, power generation, upstream, midstream, mining, heavy industrial.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in data science, statistical modeling, data mining. Experience using data analytics tools (VBA, R, Alteryx, PySpark, Python & Power BI) The primary responsibility of this role is to support Quality Promotion engineers to develop data models, tools, forecasting algorithms, prioritization & dashboards by using R/Python/Power BI to reduce warranty and to resolve quality issues quickly.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Broad knowledge of machine learning, statistical modeling, or data mining. Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Able to effectively communicate core data science and product design concepts to a variety of technical and non-technical stakeholders courses of action with minimal assistance using both written and verbal methods, inclusive of data visualization and interpretation techniques.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of professional experience working with large data sets, understanding of statistical analysis, modeling techniques, data mining. For 20 years, evolve24 has been at the intersection of cutting-edge AI technology and insightful data science solutions.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Develop and maintain predictive models using econometric modeling and data mining techniques (e.g., generalized linear models, classification trees, random forests, boosting, cluster analysis, factor analysis, shrinkage methods, text mining and natural language processing) to measure, monitor and predict banking sector risk and other banking outcomes of interest.
Full-timeExpandApply NowActive JobUpdated Today
data science mining jobs
FEATURED BLOG POSTS
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
How to Answer the Interview Question: What is Your Communication Style?
As a job searcher, you probably have so many questions about job searching. However, once you've landed an interview, your excitement takes your questions to a whole new level. What will you wear? Will you know how to answer all the questions? Have you practiced giving nice firm handshakes?
What Makes a Company a Great Place to Work
After one too many after-hours emails, you’re on the hunt for a new gig. But what makes a company a great place to work? And how will you know when you find one? Finding a motivating, safe, and productive work environment is important for our mental and physical health. If you’re financially frustrated, creatively stuck, or just plain over it, it’s time to find a healthier workplace where you can flourish.