Entry Level Protein Scientist Jobs in Missouri

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

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

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 Data bricks or PySpark

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

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

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

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

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.

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.

Strong analytical and problem-solving abilities.

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.

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.

Strong analytical and problem-solving abilities.

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.

Experience in a laboratory setting or GMP pharmaceutical setting.

Good organizational skills; ability to follow direction and good communication skills are required.

Strong computer, scientific, and organizational skills.

Not a coding or data science position*

Excellent communication (oral and written) and attention to detail.

Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude.