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Data Scientist - Senior
Genesis10
Tees Valley
Sur place
GBP 100 000 - 125 000
Plein temps
Il y a 25 jours

Résumé du poste

A leading consulting firm is seeking a Senior Data Scientist for a hybrid 3-month contract. This role involves advanced analytics, machine learning, and developing data-driven models to solve complex business problems. Ideal candidates possess a Master's degree and strong predictive modeling skills with experience in R, Python, and Cloud technologies.

Prestations

Medical, Dental, Vision
401K
Sick Pay
Commuter Benefits

Qualifications

  • Up-to-date knowledge of machine learning and data analytics tools and techniques.
  • Strong knowledge in predictive modeling methodology.
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL.
  • Financial Services background preferred.

Responsabilités

  • Performs advanced analytics methods to extract value from business data.
  • Conducts research on machine learning/deep learning techniques.
  • Articulates a vision for exploiting data as a corporate asset.
  • Owns the entire model development process.

Connaissances

Machine learning and data analytics tools
Predictive modeling methodology
R/RStudio
Python
SAS
SQL
NoSQL
AWS Sagemaker
TensorFlow
Statistical methods

Formation

Master's degree in Computer Science, Statistics, Economics or related fields

Outils

Cloud Machine Learning technologies
Statistical analysis software
Description du poste

Genesis10 is seeking a Data Scientist: III (Senior) for a hybrid 3-month contract to hire position with a leading client in Columbus, OH.

Compensation: $65 per hour W2; Conversion salary $105k with a 15% bonus

Job Description

As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision‑making processes.

Responsibilities
  • Performs advanced analytics methods to extract value from business data
  • Performs large‑scale experimentation and build data‑driven models to answer business questions
  • Conducts research on cutting‑edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Determines requirements that will be used to train and evolve deep learning models and algorithms
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
  • Influences product teams through presentation of data‑based recommendations
  • Evangelizes best practices to analytics and products teams
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Requirements
  • Up‑to‑date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non‑technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit‑learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non‑linear regression, hierarchical, mixed models/multi‑level modeling
  • Financial Services background preferred
  • 1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
  • Master's degree in computer science, statistics, economics or related fields
Benefits
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
  • The opportunity to have a career‑home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF)

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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