Data Scientist

  • location: San Francisco, CA
  • type: Contract
  • salary: $75 - $96 per hour

job description

Data Scientist

job summary:
Our client is currently seeking a Data Scientist for a 9+ month contract opportunity located in San Francisco, CA.

Comments/Special Instructions

Open to local and non local candidates

Python modeling skills & strong stats background.

Initially, this role is going to be all-remote

Qualifications:

Minimum Education/Skills:

- Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience

- Job-related experience, 5 years, OR Master's Degree and job-related experience, 3 years, OR Doctorate

Desired Education / Skills:

- Experience with the data science lifecycle, including data engineering, feature engineering, model building and evaluation, model deployment.

- Knowledge of commonly used data science programming languages, packages, and tools, especially Python.

- Understanding of data science/machine learning models and algorithms, not limited to: deep learning (CNN, RNN etc), decision trees (e.g. xgboost, random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language processing and statistical methods.

- Experience training models in a public cloud environment, using tools such as Jupyter, AWS Sagemaker.

- Ability to synthesize complex information into clear insights and translate those insights into decisions and actions.

- Ability to clearly communicate complex technical details and insights to colleagues and stakeholders.

- Knowledge of the mathematical and statistical fields that underpin data science

- Knowledge of systems thinking and decomposition of complex problems.

- Humble - is open to being coached, has high EQ and is self-aware

- Hungry - desires to get things done while honoring people, and seeks better ways to do the job

- Collaborative - has strong interpersonal skills; cares about and works well with teammates

- Experience working on an agile delivery team, using methods such as Scrum, Kanban.

Responsibilities:

- Applies machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within software development environment.

- Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across

- Collaborates with team members and stakeholders to effectively manage the lifecycle of a model, retraining, replacing or sunsetting models when appropriate.

- Shares and collaborates with other data scientists.

- Delivers best-in-class software as part of a software delivery team.

 
location: San Francisco, California
job type: Contract
salary: $75 - 96 per hour
work hours: 8am to 4pm
education: No Degree Required
 
responsibilities:
Responsibilities:

- Applies machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within software development environment.

- Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across

- Collaborates with team members and stakeholders to effectively manage the lifecycle of a model, retraining, replacing or sunsetting models when appropriate.

- Shares and collaborates with other data scientists.

- Delivers best-in-class software as part of a software delivery team.

 
qualifications:
  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: No Degree Required
 
skills:
  • data scientist
  • data
  • enterprise software development
  • Python
  • Machine Learning (AI)
  • random forest
  • AWS

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

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