Aditi Consulting
Overview
This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$50.00/hr - $60.00/hr Payrate:
$50.00 - $60.00 /hr. Summary:
This role is critical due to recent Return-to-Office (RTO) impacts and team transitions, including the departure of senior and mid-level talent. The ideal candidate will bring deep technical expertise, strong leadership in end-to-end project execution, and the ability to build scalable, production-ready data solutions. You’ll work closely with cross-functional teams and trusted vendors to support high-priority initiatives across the Marine division.
Key Responsibilities
Project Leadership: Lead complex data science projects from concept through deployment, ensuring scalability and maintainability. Serve as the primary data science partner for the NPR/NPI team, with potential handoff of long-term ownership to other internal groups.
Data Science & Engineering: Build and optimize data pipelines and ETL processes using Python, SQL, and Snowflake. Apply machine learning techniques including supervised, unsupervised, and deep learning, with a focus on image processing and identification. Leverage GenAI to enhance automation, insight generation, and model performance.
Collaboration & Communication: Work closely with internal leads, trusted vendors, and stakeholders to ensure alignment and delivery. Translate complex technical insights into business-friendly language for broader understanding and adoption.
Develop and Implement Models: Design, develop, and deploy machine learning and AI solutions to address business challenges such as pricing, demand forecasting, and defect minimization.
Data Mining & Analysis: Conduct in-depth data mining and statistical analysis to identify trends, patterns, and key insights from large volumes of data.
Data Modeling: Create and optimize data models to support data-driven business decisions.
Collaboration: Partner with cross-functional teams (e.g., Commercial, Finance, Manufacturing) to identify use cases and align data science initiatives with business objectives.
Communication: Present findings, insights, and recommendations to management and other stakeholders using data visualization tools.
Stay Current: Keep up-to-date with emerging trends, technologies, and best practices in data science, machine learning, and artificial intelligence.
Required Technical Skills
Python (strong proficiency)
Proficiency in Python, R, and SQL for data manipulation, ETL (Extract, Transform, Load) processes, and model development
Machine Learning: supervised, unsupervised, deep learning, image processing / image identification
Strong knowledge of statistical tools and concepts, including machine learning, model development, validation, and deployment
Data Engineering / ETL
SQL / Snowflake
GenAI experience (Using for data collection, modeling, analysis, summarizing and combining it with ML for predictions, optimization, etc.)
Nice to Have
Power BI for creating compelling visualizations and reporting
GenAI expertise (beyond basic experience)
Azure DevOps / Azure Repos
Soft Skills
Communication: Ability to translate complex technical insights into business-friendly language.
Problem-Solving: Creative and effective solutions to complex data-driven challenges
Collaboration: Experience working in cross-functional teams and openness to feedback
Time Management: Ability to prioritize tasks and manage multiple projects simultaneously.
Pay Transparency The typical base pay for this role across the U.S. is:
$50.00 - $60.00/hr . This role is also eligible for a performance-based incentive plan. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, 10 paid holidays, open paid time off, four weeks paid parental leave, 401(k) plan participation, life and disability insurance, commuter benefits, mobile phone reimbursement and wellness reimbursement.
Consent to Communication and Use of AI Technology:
By submitting your application for this position and providing your contact details, you consent to receive text (SMS), email, and/or voice communications from Aditi Consulting and its affiliates. Messages may include information about potential opportunities and may be AI-assisted. Calls may be recorded. You may revoke consent at any time by replying STOP or contacting privacy@aditiconsulting.com.
#AditiConsulting
Seniority level
Entry level
Employment type
Contract
Job function
Engineering and Information Technology Machinery Manufacturing
Referrals increase your chances of interviewing at Aditi Consulting by 2x
Data Science & AI: Data Scientist / AI Engineer
Data Scientist/AI Engineer (Enablement & Outreach)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$50.00/hr - $60.00/hr Payrate:
$50.00 - $60.00 /hr. Summary:
This role is critical due to recent Return-to-Office (RTO) impacts and team transitions, including the departure of senior and mid-level talent. The ideal candidate will bring deep technical expertise, strong leadership in end-to-end project execution, and the ability to build scalable, production-ready data solutions. You’ll work closely with cross-functional teams and trusted vendors to support high-priority initiatives across the Marine division.
Key Responsibilities
Project Leadership: Lead complex data science projects from concept through deployment, ensuring scalability and maintainability. Serve as the primary data science partner for the NPR/NPI team, with potential handoff of long-term ownership to other internal groups.
Data Science & Engineering: Build and optimize data pipelines and ETL processes using Python, SQL, and Snowflake. Apply machine learning techniques including supervised, unsupervised, and deep learning, with a focus on image processing and identification. Leverage GenAI to enhance automation, insight generation, and model performance.
Collaboration & Communication: Work closely with internal leads, trusted vendors, and stakeholders to ensure alignment and delivery. Translate complex technical insights into business-friendly language for broader understanding and adoption.
Develop and Implement Models: Design, develop, and deploy machine learning and AI solutions to address business challenges such as pricing, demand forecasting, and defect minimization.
Data Mining & Analysis: Conduct in-depth data mining and statistical analysis to identify trends, patterns, and key insights from large volumes of data.
Data Modeling: Create and optimize data models to support data-driven business decisions.
Collaboration: Partner with cross-functional teams (e.g., Commercial, Finance, Manufacturing) to identify use cases and align data science initiatives with business objectives.
Communication: Present findings, insights, and recommendations to management and other stakeholders using data visualization tools.
Stay Current: Keep up-to-date with emerging trends, technologies, and best practices in data science, machine learning, and artificial intelligence.
Required Technical Skills
Python (strong proficiency)
Proficiency in Python, R, and SQL for data manipulation, ETL (Extract, Transform, Load) processes, and model development
Machine Learning: supervised, unsupervised, deep learning, image processing / image identification
Strong knowledge of statistical tools and concepts, including machine learning, model development, validation, and deployment
Data Engineering / ETL
SQL / Snowflake
GenAI experience (Using for data collection, modeling, analysis, summarizing and combining it with ML for predictions, optimization, etc.)
Nice to Have
Power BI for creating compelling visualizations and reporting
GenAI expertise (beyond basic experience)
Azure DevOps / Azure Repos
Soft Skills
Communication: Ability to translate complex technical insights into business-friendly language.
Problem-Solving: Creative and effective solutions to complex data-driven challenges
Collaboration: Experience working in cross-functional teams and openness to feedback
Time Management: Ability to prioritize tasks and manage multiple projects simultaneously.
Pay Transparency The typical base pay for this role across the U.S. is:
$50.00 - $60.00/hr . This role is also eligible for a performance-based incentive plan. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, 10 paid holidays, open paid time off, four weeks paid parental leave, 401(k) plan participation, life and disability insurance, commuter benefits, mobile phone reimbursement and wellness reimbursement.
Consent to Communication and Use of AI Technology:
By submitting your application for this position and providing your contact details, you consent to receive text (SMS), email, and/or voice communications from Aditi Consulting and its affiliates. Messages may include information about potential opportunities and may be AI-assisted. Calls may be recorded. You may revoke consent at any time by replying STOP or contacting privacy@aditiconsulting.com.
#AditiConsulting
Seniority level
Entry level
Employment type
Contract
Job function
Engineering and Information Technology Machinery Manufacturing
Referrals increase your chances of interviewing at Aditi Consulting by 2x
Data Science & AI: Data Scientist / AI Engineer
Data Scientist/AI Engineer (Enablement & Outreach)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr