Senior Data Scientist

Overview

On Site
$85 - $98.4 hr
Contract - Independent
Contract - W2
Contract - 4+ mo(s)

Skills

SQL
PYTHON
STATISTICAL MODELING
REGRESSION
CLASSIFICATION
CLUSTERING
HYPOTHESIS TESTING
STATISTICAL INFERENCE
STORYTELLING
DATA NARRATIVE
INSIGHT PRESENTATION
ML FRAMEWORKS
SCIKIT-LEARN
TENSORFLOW
PYTORCH
ETL
AIRFLOW
META
FACEBOOK

Job Details

Payrate: $85.00 - $98.40/hr.

Responsibilities:
  • Analyzing data to identify trends and patterns, and developing insights to inform business decisions
  • Collaborating with stakeholders to define goals and success metrics, and tracking progress towards these objectives
  • Creating visualizations and reports to communicate complex data insights to both technical and non-technical audiences
  • Developing and refining predictive models to forecast future outcomes and drive business growth
  • Conducting research and experimentation to answer key business questions and test hypotheses

Must-Have Skills:
  • Programming Efficiency: ability to develop solutions to complex data problems using programming and scripting languages (SQL, Python, etc).
  • Setting Goals and Success Metrics: Ability to set clear goals, analyze data, and understand product requirements to inform business decisions and drive product success.
  • Data Analysis and Storytelling: Ability to interpret and formulate deep-level insights based on quantitative and qualitative data, communicate insights in a clear and concise manner.

Nice-to-Have Skills:
  • Data Visualization Expertise: Familiarity with data visualization tools such as Tableau or Power BI, to effectively communicate insights and findings to stakeholders.
  • Machine Learning Proficiency: Experience with machine learning libraries and frameworks like scikit-learn or TensorFlow, to build predictive models and solve complex problems.
  • Analytics/Metric Framework: Experience designing consistent and scalable analytics frameworks for open-ended questions.
  • ETL and Data Modeling: Design and implement ETL process, maintain and scale large datasets and models.
  • Research and Experiment: Experience identifying and designing scientific testing and research to answer strategic business questions.

Education /Experience:
  • Required: Bachelor's degree in Statistics, Data Science, or a related field.
  • Preferred: Master's degree in Statistics, Data Science, or a related field
  • 10+ years of experience

Pay Transparency: The typical base pay for this role across the U.S. is: $85.00 - $98.40/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

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