Data Scientist (ONLY W2) - Need Candidates local to San francisco bay area only
- +2
- +9
- California, United States
- +2
- +9
- California, United States
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Data Scientist (ONLY W2) - Need Candidates local to San francisco bay area only
Data Scientist (ONLY W2) - Need Candidates local to San francisco bay area only
Client of Maven Companies Inc. San Francisco Bay Area
2 days ago Be among the first 25 applicants
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Senior Recruitment Manager @ Maven Companies Inc.
Project Description
This person will be responsible for diving into customer data to uncover insights and drive programs within technology. Client is looking more deeply into how they approach their business questions, and want to bring on a business data scientist to help support.
Duties/Day to Day Overview
Analyze large datasets to identify trends, patterns, and insights that drive business strategy.
Develop and implement predictive models and statistical analyses to inform decision-making.
Conduct strong exploratory data analysis (EDA) to uncover stories within the data and effectively communicate findings to a wider audience.
Collaborate with stakeholders to define data requirements and deliver analytical solutions.
Visualize data and present findings to non-technical audiences in a clear and compelling manner.
Identify patterns, issues, and augmentation techniques in data to provide ML engineers with the necessary information for building AI/ML models.
Participate in the design and development of data pipelines using Spark and other big data technologies
Monitor and maintain the performance of deployed models and analytics solutions.
Stay updated on industry trends and best practices in data science and big data technologies.
Top Requirements
(Must haves)
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; Master’s degree is a plus.
3-5 years of experience in
data science
or a related role.
Strong preference for candidates with retail data experience
Proficiency in
programming languages such as Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala.
Experience with
big data technologies (e.g., Hadoop, Spark).
Strong understanding of
statistical models and machine learning
techniques.
Proven ability to understand the
data ecosystem , can pull out insights & tease out the patterns with that data
Having knowledge of different statistical packages and correct model application based off business questions & analysis at hand
Strong
exploratory data analysis (EDA)
capabilities with a knack for storytelling through data.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to convey complex information effectively.
Additional Qualifications
Supply chain, ecommerce, healthcare or marketing backgrounds
are a plus
Experience presenting data created in visualization tool is a plus (client uses PowerBI mainly)
Ability to work effectively with teams in a collaborative, cross-functional environment.
Highly organized with a strong attention to detail and the ability to meet deadlines.
Excellent written and verbal communication skills, with the ability to present data insights clearly to various stakeholders.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Contract
Job function
Job function Information Technology, Engineering, and Other
Industries Retail and Software Development
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Nice-to-have skills
- Python
- Numpy
- Scikit-learn
- TensorFlow
- PyTorch
- Scala
- Hadoop
- Spark
- Machine Learning
Work experience
- Data Engineer
- Data Scientist
Languages
- English