Overview
Remote
USD 70.00 - 75.00 per hour
Contract - W2
Skills
Big Data
SAP BASIS
Life Insurance
Analytical Skill
Process Optimization
Algorithms
Process Improvement
Management
Predictive Analytics
Artificial Intelligence
Data Science
Data Analysis
Docker
Communication
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Predictive Modelling
Python
Job Details
Description:
Deliver insights to help our clients turn data into action as a Data Scientist Advisor. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.
Location: Fully Remote
Pay Rate: 70-75/hr. W2
This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities:
Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Use large data sets to find opportunities for product and process optimization.
Use models to test the effectiveness of different courses of action.
Mine and analyze data using a variety of data tools.
Build and implement models using/creating algorithms and creating/running simulations.
Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges.
Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data.
Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
Manage and analyze large and/or complex datasets.
Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.
May coach and review the work of less-experienced professionals.
Experience Requirements:
Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator
Required Experience: 8+ years of related experience
Required Technical Skills: **Specific skill sets required**
Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI
Able to create complex queries in SQL for testing and data analysis
Experience developing ML pipelines and with ML Operations
Experience with Model Tuning and Governance
Experience with the following tools: MLFlow, GitHub, Docker
Education Requirements:
Education: Masters of Science in Data Science, or similar degree
Public Trust: Requires ability to pass background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Deliver insights to help our clients turn data into action as a Data Scientist Advisor. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.
Location: Fully Remote
Pay Rate: 70-75/hr. W2
This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities:
Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Use large data sets to find opportunities for product and process optimization.
Use models to test the effectiveness of different courses of action.
Mine and analyze data using a variety of data tools.
Build and implement models using/creating algorithms and creating/running simulations.
Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges.
Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data.
Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
Manage and analyze large and/or complex datasets.
Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.
May coach and review the work of less-experienced professionals.
Experience Requirements:
Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator
Required Experience: 8+ years of related experience
Required Technical Skills: **Specific skill sets required**
Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI
Able to create complex queries in SQL for testing and data analysis
Experience developing ML pipelines and with ML Operations
Experience with Model Tuning and Governance
Experience with the following tools: MLFlow, GitHub, Docker
Education Requirements:
Education: Masters of Science in Data Science, or similar degree
Public Trust: Requires ability to pass background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.