Role: Senior Data Scientist
Location: New York City NY (Onsite)
Type: Contract
- Driving new data insights to uncover business opportunities & revenue streams.
- Have a firm understanding of statistics and data visualization for communication.
- Has an understanding of business growth areas & how to utilize important data.
- Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.
- Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
- Identifies analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression classification or clustering ML approaches where applicable.
- Be experienced in Data Wrangling and Dynamic Model Tuning.
Key Responsibilities:
- Working on projects leveraging your expertise in data science artificial-intelligence and machine learning
- Assist in breaking down complex business problems developing solutions and delivering with a high degree of focus on client satisfaction.
- Conduct market research develop a point-of-view and communicate effectively back to clients and stakeholders.
- Bring innovative thinking resourcefulness leveraging best practices and creativity to achieve successful client outcomes.
- Establish relationships with our clients at the appropriate levels gain an understanding of the project work and problems encountered.
- Work with data sets of varying degrees of size and complexity including both structured and unstructured data.
- Piping and processing massive data-streams in distributed computing environments.
- Implement batch and real-time model scoring.
- Assemble large complex data sets that meet functional / non-functional business requirements.
- Apply business knowledge to analyze data develop reports and solve problems Perform ad hoc analyses of data depending on business needs.
- Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.
Basic Qualifications:
- 7 years of experience supporting data science projects in a consulting environment.
- 7 year(s) of experience participating in projects that focused on one or more of the following areas:
- Predictive Analytics
- Data Design
- Statistics
- AI/ML
- ML Ops
- 7 years of experience using Python and/or R to analyze disparate datasets.
Preferred Skills:
Masters degree preferred.
- Exercises sound judgment with minimal support from practice executives through structured problem identification mitigation and resolution.
- You are a team player that is a consistent dependable performer with an excellent work ethic flexible can-do attitude and a commitment to success.
- Professional verbal and written communication.
- Undergraduate or Graduate degree preferred
- 1 year of Gen AI / LLM hands on development experience
- Ability to drive individual hands on development plus oversee more junior developers / engineers
Minimum Skills Required:
- 7 years of experience supporting data science projects in a consulting environment.
- 7 year(s) of experience participating in projects that focused on one or more of the following areas:
- Predictive Analytics
- Data Design Statistics
- AI/ML
- ML Ops
- 7 years of experience using Python and/or R to analyze disparate datasets.
Role: Senior Data Scientist Location: New York City NY (Onsite) Type: Contract Driving new data insights to uncover business opportunities & revenue streams. Have a firm understanding of statistics and data visualization for communication. Has an understanding of business growth areas & how to util...
Role: Senior Data Scientist
Location: New York City NY (Onsite)
Type: Contract
- Driving new data insights to uncover business opportunities & revenue streams.
- Have a firm understanding of statistics and data visualization for communication.
- Has an understanding of business growth areas & how to utilize important data.
- Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.
- Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
- Identifies analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression classification or clustering ML approaches where applicable.
- Be experienced in Data Wrangling and Dynamic Model Tuning.
Key Responsibilities:
- Working on projects leveraging your expertise in data science artificial-intelligence and machine learning
- Assist in breaking down complex business problems developing solutions and delivering with a high degree of focus on client satisfaction.
- Conduct market research develop a point-of-view and communicate effectively back to clients and stakeholders.
- Bring innovative thinking resourcefulness leveraging best practices and creativity to achieve successful client outcomes.
- Establish relationships with our clients at the appropriate levels gain an understanding of the project work and problems encountered.
- Work with data sets of varying degrees of size and complexity including both structured and unstructured data.
- Piping and processing massive data-streams in distributed computing environments.
- Implement batch and real-time model scoring.
- Assemble large complex data sets that meet functional / non-functional business requirements.
- Apply business knowledge to analyze data develop reports and solve problems Perform ad hoc analyses of data depending on business needs.
- Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.
Basic Qualifications:
- 7 years of experience supporting data science projects in a consulting environment.
- 7 year(s) of experience participating in projects that focused on one or more of the following areas:
- Predictive Analytics
- Data Design
- Statistics
- AI/ML
- ML Ops
- 7 years of experience using Python and/or R to analyze disparate datasets.
Preferred Skills:
Masters degree preferred.
- Exercises sound judgment with minimal support from practice executives through structured problem identification mitigation and resolution.
- You are a team player that is a consistent dependable performer with an excellent work ethic flexible can-do attitude and a commitment to success.
- Professional verbal and written communication.
- Undergraduate or Graduate degree preferred
- 1 year of Gen AI / LLM hands on development experience
- Ability to drive individual hands on development plus oversee more junior developers / engineers
Minimum Skills Required:
- 7 years of experience supporting data science projects in a consulting environment.
- 7 year(s) of experience participating in projects that focused on one or more of the following areas:
- Predictive Analytics
- Data Design Statistics
- AI/ML
- ML Ops
- 7 years of experience using Python and/or R to analyze disparate datasets.
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