A PhD degree or equivalent in Computer Science, Mathematics, or a similar discipline. Candidate with proven experience in the area of predictive modeling, survical modeling and in natural language processing (NLP) is highly preferred.
Experience working on data science projects in Geophysics is a plus. Beyond that, you’ll need as many of the following as possible on your CV:
· Skilled in high standards of code quality and making use of version control tools.
· Proficiency in Python, an
|
 |
Experience working with Financial accounting, Annuity insurance data Experience working with Pension Risk Transfer (PRT) data.
Strong experience in SQL Proficient in business analysis concepts (business process modeling (BPM), context diagrams, use cases, user stories) Proficiency with techniques used in requirements elicitation, project scoping, requirements analysis, and project planning and analysis activities
Utilizes resource tools to manage project resource demand – primarily Jira Prof
|
|
The Business Analyst is an Information Technology (IT) position and will provide business analyst skills for project that deals data migration between legacy and modern system. This position will define the project requirements by establishing themes, epics, user stories and features that make up the product back log. The position will need knowledge of one or more of the processes. This position will also assist with writing and executing test scripts. The enhancements to the system will be coo
|
|
Perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required Product Data – Responsible for managing product information levels to established standards. Maintain data to meet company standards and quality of information Data includes images, technical specifications and other data elements Manually populate non-automated data as necessary Identify system
|
|
The Data Scientist role is responsible for data entry and maintenance for integrating and uploading data into the SAP environment. As part of the Data team, this position is responsible for the accurate entry of data into SAP. The Data team is responsible for the efficient and effective management of part number master data. This will require an individual with good attention to detail, intermediate to advanced computer skills and ability to develop processes documents. To perform this job succe
|
|
Job Title: Senior Specialist – Big Data Engineer
Skill Community: Big Data Systems & Engineering for AI
Area of Interest: Data & Analytics
Location: Remote Role
Duration: Long Term – Multiyear
Mode of an Interview: 2 Video Rounds Discussion (1St with our Technical Team and 2nd with client)
Qualifications:
BS/MS in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies; or PhD in
|
|
Data Science developer Pleasanton ,CA Candidate should be open 6 to 8 months contract to hire * Web Technologies, Middleware development, Big data Analytics, Data science, Machine Learning, client/server application development, software process improvement, and object oriented design and development. * Extensive experience in Java/J2EE, Python, Scala Programming Languages. * Enterprise search using Elastic Search, Apache solr. * Extensive experience in Hadoop Ecosystem (HDFS, Map Reduce,
|
|
Senior Data Scientist Sunnyvale, CA18+ Months
Responsibilities:
- Perform hands-on data exploration, processing, and analysis on massive data sets Use machine learning, deep learning and data mining techniques to develop robust predictive models in areas such as E-Commerce & Financial Service fraud detection, anomaly detection, abusive returns, and product recommendation Pull data from warehouse and cloud, perform feature engineering, back-test models, compare model performances and communic
|
|
Location: Albany, NY (Remote and onsite)
Duration: Long Term
Qualifications:
2+ years of experience leading work streams with 2+ data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; multidisciplinary backgrounds
Masters or PhD in Computer Science, Engineering, or related
|
|
menschForce is looking for Data Science Professionals with 5+ years of experience for its client across the US for various engagements that start within the next few months.
Job Description:
A typical Data Science candidate
Formulates and leads guided, multifaceted analytic studies against large volumes of data.
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
Coordinates research and analytic activities utilizi
|
|