Principal Data Scientist

Principal Data Scientist Posted on April 16, 2026 April 16, 2026 by JMJ Phillip We are seeking a Principal Data Scientist to serve as a hands-on individual contributor focused on advanced analytics, machine learning model development, and technical problem-solving. This role also includes technical coaching responsibilities and collaboration with cross-functional teams to deliver mission-driven, data-intensive solutions in a manufacturing and industrial technology environment. Position Responsibilities Advanced Analytics & Machine Learning Development Design, build, and deploy advanced machine learning and AI models for complex industrial use cases. Develop predictive and computer vision models to support quality inspection and process optimization. Apply statistical and mathematical modeling techniques to solve high-impact business problems. Industrial Data & Mission-Based Projects Support initiatives involving high-volume manufacturing (HVM), IoT, and discrete manufacturing environments. Build models for use cases such as defect detection, yield analysis, and quality assessment. Contribute to remote operations and monitoring solutions using real-time data streams. Model Deployment & Cloud Engineering Deploy machine learning models into production using cloud platforms and scalable architectures. Collaborate with engineering teams to ensure model integration and performance in production systems. Support data pipelines, model monitoring, and lifecycle management. Technical Leadership & Coaching Provide technical mentorship and coaching to peers and junior data scientists. Share best practices in Python programming, mathematics, and machine learning methodologies. Contribute to the development of internal data science standards and frameworks. Cross-Functional Collaboration Work closely with engineering, product, and operations teams to define analytical requirements. Translate business and manufacturing challenges into data-driven solutions. Communicate technical findings to both technical and non-technical stakeholders. Other Duties Perform other duties as trained and qualified. Prerequisites Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field. 10-15 years of experience in data science, machine learning, or advanced analytics roles. Strong expertise in Python and advanced mathematical/statistical modeling. Experience with cloud technologies (AWS, Azure, or GCP). Familiarity with SQL and database systems (Oracle preferred). Exposure to programming languages such as Go, Java, C, or C++. Experience in manufacturing, IoT, semiconductor, or industrial analytics strongly preferred. Strong problem-solving, analytical, and communication skills. Certifications (Preferred, but not Required) Cloud certifications (AWS, Azure, or GCP). Machine Learning or AI certifications. Advanced Data Science or Engineering certifications. What the Role Offers Competitive compensation package with performance bonus (15-18%).

Salary Range:

$150,000 - $200,000. Opportunity for hybrid flexibility based on performance and trust. Health, dental, vision, and retirement benefits. Exposure to cutting-edge AI, IoT, and manufacturing innovation projects. Why Perrysburg? This role offers the opportunity to work on mission-critical, data-driven manufacturing and industrial AI initiatives. It provides hands-on ownership of advanced modeling projects, exposure to high-impact industrial applications, and the ability to shape next-generation data science solutions in a highly technical environment. Upload your resume to Apply • Accepted file types: pdf, doc, docx, txt, Max.

file size:

32 MB. Email • Additional Please add me to your mailing list so I hear about new jobs first I'd like to learn about resume writing and career coaching services from Employment BOOST Get 30 days free on Careerology - the #1 platform for job skills /• = 0;if(!is_postback){return;}var form_content = jQuery(this).contents().find('#gform_wrapper_5');var is_confirmation = jQuery(this).contents().find('#gform_confirmation_wrapper_5').length > 0;var is_redirect = contents.indexOf('gformRedirect(){') >= 0;var is_form = form_content.length > 0 ! is_redirect ! is_confirmation;var mt = parseInt(jQuery('html').css('margin-top'), 10) + parseInt(jQuery('body').css('margin-top'), 10) + 100;if(is_form){jQuery('#gform_wrapper_5').html(form_content.html());if(form_content.hasClass('gform_validation_error')){jQuery('#gform_wrapper_5').addClass('gform_validation_error');} else {jQuery('#gform_wrapper_5').removeClass('gform_validation_error');}setTimeout( function() { /• delay the scroll by 50 milliseconds to fix a bug in chrome •/ jQuery(document).scrollTop(jQuery('#gform_wrapper_5').offset().top - mt); }, 50 );if(window['gformInitDatepicker']) {gformInitDatepicker();}if(window['gformInitPriceFields']) {gformInitPriceFields();}var current_page = jQuery('#gform_source_page_number_5').val();gformInitSpinner( 5, 'https://jmjphillip.com/wp-content/plugins/gravityforms/images/spinner.svg', true );jQuery(document).trigger('gform_page_loaded', [5, current_page]);window['gf_submitting_5'] = false;}else if(!is_redirect){var confirmation_content = jQuery(this).contents().find('.GF_AJAX_POSTBACK').html();if(!confirmation_content){confirmation_content = contents;}jQuery('#gform_wrapper_5').replaceWith(confirmation_content);jQuery(document).scrollTop(jQuery('#gf_5').offset().top - mt);jQuery(document).trigger('gform_confirmation_loaded', [5]);window['gf_submitting_5'] = false;wp.a11y.speak(jQuery('#gform_confirmation_message_5').text());}else{jQuery('#gform_5').append(contents);if(window['gformRedirect']) {gformRedirect();}}jQuery(document).trigger("gform_pre_post_render", [{ form

Id:

"5", current

Page:

"current_page", abort: function() { this.preventDefault(); } }]); if (event event.defaultPrevented) { return; } const gformWrapperDiv = document.getElementById( "gform_wrapper_5" ); if ( gformWrapperDiv ) { const visibilitySpan = document.createElement( "span" ); visibilitySpan.id = "gform_visibility_test_5"; gformWrapperDiv.insertAdjacentElement( "afterend", visibilitySpan ); } const visibilityTestDiv = document.getElementById( "gform_visibility_test_5" ); let postRenderFired = false; function triggerPostRender() { if ( postRenderFired ) { return; } postRenderFired = true; gform.core.triggerPostRenderEvents( 5, current_page ); if ( visibilityTestDiv ) { visibilityTestDiv.parentNode.removeChild( visibilityTestDiv ); } } function debounce( func, wait, immediate ) { var timeout; return function() { var context = this, args = arguments; var later = function() { timeout = null; if ( !immediate ) func.apply( context, args ); }; var callNow = immediate !timeout; clearTimeout( timeout ); timeout = setTimeout( later, wait ); if ( callNow ) func.apply( context, args ); }; } const debouncedTriggerPostRender = debounce( function() { triggerPostRender(); }, 200 ); if ( visibilityTestDiv visibilityTestDiv.offsetParent === null ) { const observer = new MutationObserver( ( mutations ) => { mutations.forEach( ( mutation ) => { if ( mutation.type === 'attributes' visibilityTestDiv.offsetParent !== null ) { debouncedTriggerPostRender(); observer.disconnect(); } }); }); observer.observe( document.body, { attributes: true, child

List:

false, subtree: true, attribute

Filter:

[ 'style', 'class' ], }); } else { triggerPostRender(); } } );} ); /• ]]> •/ Apply Now