Is the Senior Data Scientist position at kreate fully remote?

Yes, this Senior Data Scientist position at kreate is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Senior Data Scientist role?

This is a full-time Senior Data Scientist position at kreate.

What is the salary range for the Senior Data Scientist position?

The salary range for this Senior Data Scientist role is $160k - $170k.

How do I apply for the Senior Data Scientist position at kreate?

You can apply for this Senior Data Scientist position by clicking the "Apply Now" button on this page, which will take you to kreate's application portal.

Senior Data Scientist at kreate

United States

$160k - $170k

<div><body>The Senior Data Scientist owns the analytical methods and models that support critical business decisions across demand, inventory, production capacity, scheduling, and core business metrics. The role combines advanced analytics, forecasting, optimization, experimentation, and data governance to help the business make informed decisions across multiple plants and functions. The Senior Data Scientist leads and mentors a Data Scientist, establishes standards for analytical methods and communication, and serves as a trusted resource for resolving discrepancies between reports and determining the appropriate source of truth. This position also partners with engineering, finance, corporate development, and business leadership to develop production-ready analytical tools and models. Essential Functions and Responsibilities<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Own the production planning model, including demand forecasting, safety stock and inventory targets, and forward production plans across plants.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Build capacity and scheduling optimization models, including press and mold assignment, site balancing, and utilization targets while accounting for real-world constraints such as tool availability.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Own metric governance and establish consistent definitions for key business metrics, including labor as a percentage of production sales value, OEE, and net sales.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Reconcile metric definitions and calculations across the lake house, Power BI, and business applications to establish a consistent source of truth.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Design, execute, and analyze experiments with retail partners, including price and assortment tests.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Partner with engineering to build LLM-assisted analytics tools, such as natural-language question-and-answer capabilities over the data warehouse, with appropriate evaluation methods, accuracy standards, and guardrails.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Support finance and corporate development with analytical modeling for acquisitions, capital projects, facility decisions, and other strategic initiatives.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Lead and mentor the Data Scientist, providing guidance on analytical approaches, technical development, and communication.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Establish and maintain review standards for analytical code, methodologies, documentation, and business communication.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Present analytical findings, models, and recommendations to executive leadership and clearly explain and defend the underlying methodology and assumptions.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Collaborate across data, engineering, operations, finance, and commercial teams to translate complex business problems into practical analytical solutions.</li></ul>QualificationsRequired Qualifications<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">5+ years of experience in data science, operations research, advanced analytics, or a related field, ideally within manufacturing, supply chain, consumer packaged goods (CPG), or a similar environment.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Demonstrated experience applying forecasting and inventory methods in production environments, including intermittent and hierarchical demand forecasting and service-level-based safety stock.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with optimization techniques such as linear programming (LP) or mixed-integer programming (MIP), using tools such as OR-Tools, PuLP, Pyomo, or similar platforms, or demonstrated experience developing practical scheduling heuristics.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Expert-level SQL and Python skills, with experience developing production-quality code maintained in Git.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Demonstrated ability to investigate and reconcile conflicting metrics or reports and establish a consistent definition or source of truth across teams.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Strong analytical judgment and the ability to evaluate assumptions, methodologies, and limitations.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Excellent communication skills, including the ability to present complex analytical concepts to executive leadership and confidently explain and defend analytical methods under questioning.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Demonstrated leadership or mentoring experience, with the ability to establish standards and develop less-experienced data science professionals.</li></ul>Preferred Qualifications<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with injection molding, plastics manufacturing, or multi-plant Sales and Operations Planning (S&OP).</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with Microsoft Fabric and Power BI semantic models.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience using LLM APIs, including Anthropic or Open AI, in production analytics tools or applications.</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience formally managing or mentoring analysts or data scientists.</li></ul>Company Details:<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Location: Remote</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">This position will report to the VP of AI & Analytics </li></ul>Kreate is an equal opportunity employer. The Statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company. </body></div>

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Remote Opportunity

Senior Data Scientist

Join kreate as a senior professional working remotely from United States. Explore the role, benefits, and apply in one place.

Senior Data Scientist

kreate

Full Time

$160k - $170k

3 weeks ago

The Senior Data Scientist owns the analytical methods and models that support critical business decisions across demand, inventory, production capacity, scheduling, and core business metrics.

United States

Data

Senior

Data Science

Operations research

Forecasting

+5 more

Job Description

The Senior Data Scientist owns the analytical methods and models that support critical business decisions across demand, inventory, production capacity, scheduling, and core business metrics. The role combines advanced analytics, forecasting, optimization, experimentation, and data governance to help the business make informed decisions across multiple plants and functions. The Senior Data Scientist leads and mentors a Data Scientist, establishes standards for analytical methods and communication, and serves as a trusted resource for resolving discrepancies between reports and determining the appropriate source of truth. This position also partners with engineering, finance, corporate development, and business leadership to develop production-ready analytical tools and models.

Essential Functions and Responsibilities

Own the production planning model, including demand forecasting, safety stock and inventory targets, and forward production plans across plants.
Build capacity and scheduling optimization models, including press and mold assignment, site balancing, and utilization targets while accounting for real-world constraints such as tool availability.
Own metric governance and establish consistent definitions for key business metrics, including labor as a percentage of production sales value, OEE, and net sales.
Reconcile metric definitions and calculations across the lake house, Power BI, and business applications to establish a consistent source of truth.
Design, execute, and analyze experiments with retail partners, including price and assortment tests.
Partner with engineering to build LLM-assisted analytics tools, such as natural-language question-and-answer capabilities over the data warehouse, with appropriate evaluation methods, accuracy standards, and guardrails.
Support finance and corporate development with analytical modeling for acquisitions, capital projects, facility decisions, and other strategic initiatives.
Lead and mentor the Data Scientist, providing guidance on analytical approaches, technical development, and communication.
Establish and maintain review standards for analytical code, methodologies, documentation, and business communication.
Present analytical findings, models, and recommendations to executive leadership and clearly explain and defend the underlying methodology and assumptions.
Collaborate across data, engineering, operations, finance, and commercial teams to translate complex business problems into practical analytical solutions.

Qualifications

Required Qualifications

5+ years of experience in data science, operations research, advanced analytics, or a related field, ideally within manufacturing, supply chain, consumer packaged goods (CPG), or a similar environment.
Demonstrated experience applying forecasting and inventory methods in production environments, including intermittent and hierarchical demand forecasting and service-level-based safety stock.
Experience with optimization techniques such as linear programming (LP) or mixed-integer programming (MIP), using tools such as OR-Tools, PuLP, Pyomo, or similar platforms, or demonstrated experience developing practical scheduling heuristics.
Expert-level SQL and Python skills, with experience developing production-quality code maintained in Git.
Demonstrated ability to investigate and reconcile conflicting metrics or reports and establish a consistent definition or source of truth across teams.
Strong analytical judgment and the ability to evaluate assumptions, methodologies, and limitations.
Excellent communication skills, including the ability to present complex analytical concepts to executive leadership and confidently explain and defend analytical methods under questioning.
Demonstrated leadership or mentoring experience, with the ability to establish standards and develop less-experienced data science professionals.

Preferred Qualifications

Experience with injection molding, plastics manufacturing, or multi-plant Sales and Operations Planning (S&OP).
Experience with Microsoft Fabric and Power BI semantic models.
Experience using LLM APIs, including Anthropic or Open AI, in production analytics tools or applications.
Experience formally managing or mentoring analysts or data scientists.

Company Details:

Location: Remote
This position will report to the VP of AI & Analytics

Kreate is an equal opportunity employer. The Statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

Requirements

5+ years of experience in data science, operations research, advanced analytics, or a related field, ideally within manufacturing, supply chain, consumer packaged goods (cpg), or a similar environment.
demonstrated experience applying forecasting and inventory methods in production environments, including intermittent and hierarchical demand forecasting and service-level-based safety stock.
experience with optimization techniques such as linear programming (lp) or mixed-integer programming (mip), using tools such as or-tools, pulp, pyomo, or similar platforms, or demonstrated experience developing practical scheduling heuristics.
expert-level sql and python skills, with experience developing production-quality code maintained in git.
demonstrated ability to investigate and reconcile conflicting metrics or reports and establish a consistent definition or source of truth across teams.
strong analytical judgment and the ability to evaluate assumptions, methodologies, and limitations.
excellent communication skills, including the ability to present complex analytical concepts to executive leadership and confidently explain and defend analytical methods under questioning.
demonstrated leadership or mentoring experience, with the ability to establish standards and develop less-experienced data science professionals.

Skills

Data Science

Operations research

Forecasting

Inventory Management

Linear Programming

SQL

Python

Mixed-Integer Programming

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Join kreate today

Salary Range

$160k - $170k

Posted 3 weeks ago

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