AI Data Scientist Sr
AI Data Scientist, Agent Builder Factory
Location: Remote
Compensation: The compensation for this role may range between $150,000-175,000 USD
Insight at a Glance
14,000+ engaged teammates globally
#20on Fortune’s World'sBest Workplaces™ list
$9.2 billion in revenue
Received 35+ industry and partner awards in the past year
$1.4M+ total charitable contributions in 2023 by Insight globally
Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.
About the role
As a Data Scientist, you will be a key player in the entire model lifecycle, from exploring raw business data to deploying production-ready AI agents. We will count on you to be passionate about leveraging machine learning to solve real-world business problems and thrive in an agile, fast-paced environment. Along the way, you will get to:
Core Modeling & Analysis:
Develop and tune a range of machine learning models, including regression, classification, and time-series forecasting.
Apply your expertise to solve critical business problems, such as predicting inventory needs and scoring the likelihood of an opportunity closing.
Perform in-depth exploratory data analysis using PySpark and SQL to uncover key insights and understand complex business data.
Feature Engineering:
Create powerful, predictive features from diverse raw data sources (e.g., sales history, client activity) to enhance model accuracy and performance.
Utilize the Databricks Feature Store to manage and share model features, ensuring consistency and reusability across projects.
Model Validation & Interpretation:
Validate model performance using robust statistical methods, ensuring accuracy and reliability.
Articulate the drivers behind your models' predictions and communicate complex findings clearly to both technical and non-technical stakeholders.
MLOps & Production Modeling:
Champion best practices in MLOps, with hands-on experience using MLflow for the end-to-end model lifecycle, including experiment tracking, versioning, and registry management.
Design and build models for automated retraining and deployment using Databricks Jobs & Workflows.
Collaborate with engineers and stakeholders to productionize models, ensuring seamless integration and scalability.
Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
What we’re looking for
Experience: Proven experience as a Data Scientist with a portfolio of completed projects.
Technical Skills:
Python: Expert proficiency with core data science libraries such as Pandas for data manipulation and scikit-learn for machine learning models.
Data & Analytics: Strong skills in SQL and PySpark for data exploration and feature engineering.
MLOps: Direct, hands-on experience with the Databricks platform, specifically Databricks Feature Store, Databricks Jobs & Workflows, and MLflow.
Problem-Solving: Strong analytical and problem-solving skills with the ability to translate ambiguous business problems into well-defined data science solutions.
Communication: Excellent verbal and written communication skills with the ability to present complex technical findings to diverse audiences.
Education: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight.
But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.
Join us today, your ambITious journey starts here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!
Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.
About the job
Apply for this position
AI Data Scientist Sr
AI Data Scientist, Agent Builder Factory
Location: Remote
Compensation: The compensation for this role may range between $150,000-175,000 USD
Insight at a Glance
14,000+ engaged teammates globally
#20on Fortune’s World'sBest Workplaces™ list
$9.2 billion in revenue
Received 35+ industry and partner awards in the past year
$1.4M+ total charitable contributions in 2023 by Insight globally
Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.
About the role
As a Data Scientist, you will be a key player in the entire model lifecycle, from exploring raw business data to deploying production-ready AI agents. We will count on you to be passionate about leveraging machine learning to solve real-world business problems and thrive in an agile, fast-paced environment. Along the way, you will get to:
Core Modeling & Analysis:
Develop and tune a range of machine learning models, including regression, classification, and time-series forecasting.
Apply your expertise to solve critical business problems, such as predicting inventory needs and scoring the likelihood of an opportunity closing.
Perform in-depth exploratory data analysis using PySpark and SQL to uncover key insights and understand complex business data.
Feature Engineering:
Create powerful, predictive features from diverse raw data sources (e.g., sales history, client activity) to enhance model accuracy and performance.
Utilize the Databricks Feature Store to manage and share model features, ensuring consistency and reusability across projects.
Model Validation & Interpretation:
Validate model performance using robust statistical methods, ensuring accuracy and reliability.
Articulate the drivers behind your models' predictions and communicate complex findings clearly to both technical and non-technical stakeholders.
MLOps & Production Modeling:
Champion best practices in MLOps, with hands-on experience using MLflow for the end-to-end model lifecycle, including experiment tracking, versioning, and registry management.
Design and build models for automated retraining and deployment using Databricks Jobs & Workflows.
Collaborate with engineers and stakeholders to productionize models, ensuring seamless integration and scalability.
Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
What we’re looking for
Experience: Proven experience as a Data Scientist with a portfolio of completed projects.
Technical Skills:
Python: Expert proficiency with core data science libraries such as Pandas for data manipulation and scikit-learn for machine learning models.
Data & Analytics: Strong skills in SQL and PySpark for data exploration and feature engineering.
MLOps: Direct, hands-on experience with the Databricks platform, specifically Databricks Feature Store, Databricks Jobs & Workflows, and MLflow.
Problem-Solving: Strong analytical and problem-solving skills with the ability to translate ambiguous business problems into well-defined data science solutions.
Communication: Excellent verbal and written communication skills with the ability to present complex technical findings to diverse audiences.
Education: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight.
But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.
Join us today, your ambITious journey starts here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!
Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.