Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.
2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Ability to assess regulatory implications and expectations of distinct modeling efforts.
Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors' algorithms, DBSCAN, etc.
Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

SmartExplore AI is experimental.

New, Posted 20 hours ago

Data Scientist Advisor

FedEx

Plano, TX 75025

Apply Directly

Assembler - Hiring Now

Teledyne

Garland, TX 75040

~ 26 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Possess excellent manual dexterity, manufacturing knowledge.
Experience with small parts, small hand tools, equipment, and microscope.
Ability to read and work from engineer drawings, work instructions and bills of material to understand the required parts and steps needed to complete the assigned assembly.
Possess a solid, quality minded work ethic and a strong attention to detail with a strong desire for precision and accuracy when executing job duties.
Knowledge of Foreign Object Debris (FOD control.)
Must be able to work overtime if required, on short notice.
High School Diploma and basic computer skills are a necessity.
A minimum of 2- 3 years of experience in a manufacturing assembly, production environment, or cleanroom experience is essential.

SmartExplore AI is experimental.