Data Scientist – Us Remote Jobs in Miami-Dade, Florida

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Leverage generative AI and technology to develop new educational tools, iterate on current products, and finetune AI training models

Excellent written and verbal English communication skills

2+ years of work experience working in a technical field (science, technology, programming, financial services, data science, etc.)

Must be a proactive communicator who can effectively manage multiple priorities and stakeholders simultaneously

Senior Data Scientist Key Responsibilities

Engineering generative AI prompts in Python/JavaScript/JSON

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Databricks or PySpark

Develops sound relationships with business partners, managers, consultants and trainers.

Reasonable accommodations may be made to enable individuals with disabilities to perform the needed functions.

Develops and updates training materials, programs, curriculums and collections within the LMS as needed. May facilitate these updates as needed.

Leads communication and marketing plans for new courses and training updates within the department.

Ensures all new content creation is aligned with LMS governance guidelines.

Uses the learning dashboard for training analytics and standard learning metrics to evaluate learning effectiveness that help drive team initiatives.

Step 2: Achieve Industry-Recognized Certifications

On-Site Data Analyst Position - $28k-$35k Per Annum

Wondering how it all works?

EXCEL, NUMPY, PANDA, SCIPY, PowerBI, Python, R-PROGRAMMING, MySQL, Tableau ,

Step 1: Dive into Live Expert Training from Industry Leaders

Step 3: Start Your New Role as a Data Analyst

Effective Supplier Relationship Management driving supplier results; leveraging data, metrics, and internal feedback

Manage key suppliers to strengthen relationship while ensuring continuity of supply and reducing business risks

Supply Chain, Engineering, Business, Economics, Hospitality, and/or Science, Agriculture required. Procurement experience within cruise industry is preferred

Minimum 5+ years of relevant experience preferred in cruise lines

Excellent written and verbal communication skills

Ability to manage multiple priorities, meet deadlines and work under pressure, while maintaining attention to detail and accuracy

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modelling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modelling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Prior experience working on CubeSat missions or remote sensing projects is a plus.

Collaborate with a multidisciplinary team to design, develop, and implement onboard software solutions for remote sensing imaging sensors.

Apply machine learning and artificial intelligence techniques to enhance data analysis, classification, and interpretation capabilities.

Collaborate closely with satellite engineers to ensure software meets hardware and system requirements.

Proven experience in satellite software development, signal processing, and data analysis.

Create and optimize algorithms for real-time data processing, noise reduction, image enhancement, and feature extraction from sensor data.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data Bricks or PySpark

Knowledge of optimization and predictive modelling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

1 year Experience with Data bricks or PySpark

1 year Experience with product ionizing data models

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

1 year Experience with product ionizing data models

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of SQL and VBA.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Demonstrates extensive knowledge and skill in analytic platform server architecture (Snowflake, LINUX) design.

Experience in the pharmaceutical industry,directly supporting a pharmaceutical HEOR function.

Job Title: 100% remote Data Scientist (PHD, SAS, Snowflake, Optum claims/EHR)

Remote NJ On w2 Only

Do not submit If your candidate does not have the required experience below:

The primary responsibilities of this role are to: