Jobs via Dice
Genesis10 is seeking a Data Scientist: III (Senior)
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
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 builds 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 of Working with Genesis10 For contract roles, Genesis10 offers the benefits listed below. If this is a perm‑placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
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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Compensation: $65 per hour W2; Conversion salary $105k with a 15% bonus
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 builds 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 of Working with Genesis10 For contract roles, Genesis10 offers the benefits listed below. If this is a perm‑placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
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.
#J-18808-Ljbffr