Data engineer jobs in Penn Hills, PA - 449 jobs

Employment Type: Full-Time About the Role: We are seeking a highly skilled and motivated Proposal Engineer to join our team. In this role, you will oversee the entire proposal preparation process for CEMS (Continuous Emissions Monitoring Systems) integration projects, working closely with customers, sales teams, and internal technical resources. This position requires strong technical knowledge, attention to detail, and the ability to thrive in a dynamic environment. Key Responsibilities: Collaborate with customers and the Alliance sales team to define and educate on technical scopes of work for CEMS integration projects (both remotely and in person). Attend customer meetings to discuss Alliance CEMS products and services. Review CEMS bid specifications and prepare accurate pricing for integration proposals. Oversee the proposal preparation process from start to finish, ensuring accuracy and compliance. Review proposals generated by the Technical Services Team and coordinate with proposal writers. Assist in hand-off meetings from sales to the integration team. Track vendor pricing and maintain up-to-date costing documentation. Coordinate with project management and engineering teams to support CEM System installations and startups. Identify areas for improvement within the company and department, including new products, processes, technologies, or materials. Participate in and facilitate process improvement initiatives for the business unit. Work Environment: Combination of office and industrial environments. Occasional outdoor work in industrial settings. Physical Requirements: Ability to stand or walk consistently; occasional bending, crouching, or stooping. Ability to climb ladders and stairs, including elevated platforms up to 300 feet. Ability to distinguish between shades of color. Willingness to work at heights and in varying environmental conditions. Schedule: Full-time; must be available to work 40+ hours per week. Travel: Occasional travel required. Qualifications: Bachelor's degree or technical degree in an engineering field, or a related discipline required. 1-2 years of relevant industry experience required; prior technical experience with CEMS (Continuous Emissions Monitoring Systems) is highly preferred. Valid driver's license. Strong written and verbal communication skills. Self-motivated and adaptable to an ever-changing work environment. Excellent customer relationship skills. Proficiency in Microsoft Office Suite. Employee Benefits: Medical, Dental, and Vision Insurance Flexible Spending Accounts 401(K) Plan with Competitive Match Continuing Education and Tuition Assistance Employer-Sponsored Disability Benefits Life Insurance Employee Assistance Program (EAP) Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) Profit Sharing or Individual Bonus Programs Referral Program Per Diem & Paid Travel Employee Discount Hub Alliance Technical Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Job Description 7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed. Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest. Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future. In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield. This acquisition unites Bloomfield's innovative technology with Kubota's extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide. Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry. About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products. We are now reorganizing the team into AI Platform and AI Product Streams. Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end. This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers. We are looking for an AI Engineer - Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users. You will take an ask from the Product team (e.g., “We are counting citrus; we want to estimate their weight.”) and drive the early phases of the ML lifecycle: data selection annotation strategy data and annotation quality and exploration metric definition model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers' operations. Responsibilities: Work closely with AI, Product, and Engineering teams to build AI product focusing on value delivered to customer Own the early ML lifecycle: data exploration, curation, annotation strategy, metric design, model prototyping, and experimentation Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics Translate raw plant imagery and sensor data into business insights for specialty crops (e.g., citrus, grapes, berries) Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline Contribute to shaping our new AI Product Stream structure and workflows Qualifications: Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection, exploration, cleaning, model design and training, performance evaluation) comfort working with real-world, messy data Solid Python experience Solid knowledge in Machine Learning and Computer Vision ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods A product mindset - willing to iterate with users, look at thousands of images, define metrics, and refine models Bonus Points: knowledge of plant physiology, plant development, agronomy, or related discipline Experience with high-throughput phenotyping, crop estimation, or yield prediction Experience working with imagery or sensor data in agricultural environments Experience in Deep Learning Experience in C++ What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: Competitive base salary & bonus Opportunity to shape the future of AI in agriculture within a small, focused team backed by Kubota Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.

On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow for next steps. The Hepatology Section is seeking a highly skilled Medical Data Scientist with at least a Master's/MPH and demonstrated experience analyzing large, complex clinical datasets, including transplant, liver disease, and longitudinal outcomes data. This position plays a central role in building a robust, data-driven research program within our academic hepatology group. The Medical Data Scientist will collaborate closely with hepatologists, hepatology trainees, and transplant and collaborators across the spectrum of Total Liver Care at UPMC to support study design, statistical planning, data management, and advanced analytics. This position offers the opportunity to work remotely while also contributing to impactful clinical, epidemiologic, and translational research that advances care for patients with chronic liver disease and liver transplant recipients Job Summary Oversees analytical teams in the extraction, aggregation, and quality assurance of data from multiple clinical data depositories in support of clinical research and departmental projects. Collaborates across business units, coordinates all aspects of research data collection and project oversight, and manages design and implementation of project analysis plan. Prepares documents for peer-reviewed publications, presentations, and sections of grant applications. Essential Functions • Provide statistical expertise for study design, including power calculations, sampling strategies, and methodological consultation. • Manage, clean, and analyze large clinical datasets (e.g., high-dimensional EMR-derived data, registry data, national and institutional and multicenter hepatology and transplant databases, prospective and retrospective cohort data, etc). • Develop and execute statistical analysis plans for manuscripts, abstracts, grant proposals, and assist with hepatology quality improvement initiatives. • Apply advanced statistical methods (e.g., regression modeling, survival analysis, competing risks, longitudinal and repeated- measures models, causal inference, propensity-based methods, etc). Although experience with machine learning and generative AI is desirable, it is not required. • Conduct analyses of hepatology and transplant-related datasets, including, but not limited to: donor-recipient matching, waitlist outcomes, post-transplant outcomes, and longitudinal graft and patient survival. Perform advanced modeling for, but not limited to, cirrhosis progression, hepatocellular carcinoma risk, acute-on-chronic liver failure, and other disease trajectories. • Support development of predictive tools and risk stratification models tailored to hepatology and organ transplant populations. Physical Effort - Work is performed primarily in a sedentary, office‑based environment. - Requires prolonged periods of sitting while using a computer, keyboard, and mouse. - Involves frequent hand and finger manipulation for typing and data entry. - Occasional standing, walking, or moving between workstations or meeting spaces. - May require lifting or carrying light items such as laptops, documents, or reference materials (typically under 10 pounds). - Requires visual focus for extended periods when reviewing data, code, or reports. - Ability to maintain attention and posture during long analytical or computational tasks. The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category Full-time regular Job Classification Staff.Medical Data Scientist III Job Family Research Job Sub-Family Data Science Campus Pittsburgh Minimum Education Level Required Master's Degree Minimum Years of Experience Required 6 Will this position accept substitution in lieu of education or experience? Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement. Work Schedule Monday-Friday 8am-4:30pm Work Arrangement Hybrid: Combination of On-Campus and Remote work as determined by the department. Hiring Range TBD Based Upon Qualifications Relocation Offered No Visa Sponsorship Provided No Background Check For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances Not Applicable Required Documents Resume Optional Documents Not Applicable

Mission: We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework - Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day - The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack - AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance. Drive innovation by researching and developing new large scale data analysis systems. Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software. Build high-quality datasets to improve ML products through training & edge case validation. Provide statistical depth on model performance & generalization through rigorous error and change analysis. What We're Looking For: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Strong programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Experience with large-scale data processing and distributed computing technologies. Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. Bonus Points: Ph.D. in Computer Science or a related field. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience with machine learning in the autonomous driving domain. Publications or contributions to the AI/ML community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000-$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product. In This Role, You Will: Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information). Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums. Design and automate data collection and analysis to support ongoing safety programs. Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making. Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems. Model self-driving vehicle behaviors at the system and subsystem levels. Develop and maintain reports and expressions of baseline risk coverage and application in operations. Design and develop expressions of risk benchmarking from similar industries. Create dashboards and reports for communicating risk, ranking, and anomalies. Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems. Mentor and lead junior team members, fostering their professional growth. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. 7+ years of progressive experience solving large-scale complex problems. Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices). Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment. Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis. Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI). Adept at querying, analyzing, and visualizing large datasets. Excellent communication and presentation skills, with the ability to convey complex information to various audiences. Strong leadership skills, with the ability to provide guidance and mentorship. Ability to work independently, as part of a cross-functional team, or as a project lead. Desirable Qualifications Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations. Familiarity with rapidly scaling operational environments. Proficient in working with advanced data transformation tools such as DBT. Skilled in building and deploying using Amazon Web Services (AWS) tools. Background in the Autonomous Vehicles, Aerospace, or Robotics domains. The base salary range for this position is $171,000 - $247,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Are you in search of an outstanding opportunity to gain hands-on experience, develop new skills, and work at a prestigious research university? TES is a trusted resource for temporary employment across the university, providing candidates with the opportunity to showcase their skills in a dynamic and collaborative environment. TES provides full-time temporary positions that offer: Valuable hands-on training and experience Competitive benefits Opportunities for long-term career growth Carnegie Mellon University's Temporary Employment Services (TES) is seeking a Temporary Data Engineer with Apache Airflow 2.0 and 3.0 experience. The Temporary Data Engineer with Apache Airflow 2.0 experience will support the Delphi Group in the Machine Learning Department in its day-to-day functions. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines. You will work closely with collaborators to translate detailed specifications into robust, scalable systems that power our data-driven decision-making. Core responsibilities will include: Orchestration: Design, develop, and run end-to-end workflows using Apache Airflow 2.0 and 3.0 to ensure efficient data processing. Pipeline Development: Modify and develop complex data applications and system programs based on detailed technical specifications. Quality Assurance: Code, test, and debug programs to ensure data integrity and system reliability. Documentation: Build and maintain comprehensive user documentation for system architectures and ETL processes. Continuous Improvement: Monitor system performance and perform related duties to ensure high availability of data assets. Flexibility, exceptional performance, and enthusiasm are key characteristics valued at Carnegie Mellon University. We are in need of a team member who can adeptly engage with a wide array of internal and external partners with a strong sense of integrity. We are searching for an individual who resonates with our values and is dedicated to furthering the university's mission through their contributions. Qualifications: Associate's degree required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Airflow Experience: Confirmed experience building and managing Directed Acyclic Graphs (DAGs) in Apache Airflow 2.0 and 3.0. Technical Expertise: Strong proficiency in programming (Python preferred) and SQL. System Design: Ability to develop applications from the ground up based on complex specifications. Communication: Strong documentation skills to translate technical processes for various team members. Requirement: Successful completion of a background check. Additional Information: Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function TES Position Type Staff - Regular Full Time/Part time Full time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

PNC Bank is seeking a Junior Data Engineer to support the design, development, and maintenance of scalable data pipelines and data platforms that enable analytics, reporting, and regulatory compliance. This role is ideal for early-career professionals eager to build hands-on experience in enterprise data engineering within the financial services domain. Key Responsibilities Assist in building and maintaining ETL/ELT pipelines to ingest, transform, and load data from multiple source systems.Support development of batch and near real-time data processing workflows.Work with structured and semi-structured data using SQL and Python.Participate in data validation, reconciliation, and quality checks to ensure accuracy and completeness.Collaborate with senior data engineers, data analysts, and business stakeholders to understand data requirements.Help manage data storage solutions such as data warehouses and data lakes.Assist with documentation of data models, pipelines, and operational processes.Follow data governance, security, and compliance standards relevant to banking and financial services.Monitor data pipelines and troubleshoot failures under guidance.Support deployment and version control using Git and CI/CD practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.1-3 years of experience or strong academic/project experience in data engineering or data analytics.Proficiency in SQL (joins, subqueries, performance tuning basics).Working knowledge of Python for data processing.Basic understanding of ETL concepts, data modeling, and data warehousing.Familiarity with relational databases (Oracle, PostgreSQL, SQL Server, or similar).Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.Experience with version control tools such as Git. Preferred / Nice-to-Have Skills Exposure to Big Data technologies (Spark, Hadoop).Familiarity with cloud data services (AWS S3, Glue, Redshift, Azure Data Factory, Snowflake).Understanding of banking or financial data, including transactions, risk, or regulatory reporting.Knowledge of data quality frameworks and basic data governance concepts.Experience with workflow orchestration tools (Airflow, Control-M). Soft Skills Strong analytical and problem-solving skills.Willingness to learn and adapt in a regulated environment.Good communication and documentation skills.Ability to work effectively in a team-oriented, Agile environment.

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data nerd to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs. In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Define and lead Govini's data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage. Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository. Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification. Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts. Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency. Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into Govini's existing data engineering infrastructure. Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language. Qualifications U.S. Citizenship is required Required Skills: Bachelor's degree in Computer Science, Mathematics or a related technical field 3-5 years experience with programmatically transforming data Experience with RDBMS Advanced SQL programming skills Proficient usage of common data formats such as CSV, XML, and JSON Requires strong analytical ability and attention to detail Ability to work independently with little supervision A burning desire to tackle hard problems and create sustainable solutions Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience using Amazon Web Services Experience in or exposure to the nuances of a startup or other entrepreneurial environment Working knowledge with large (multiple terabytes) amounts of data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

As a Data Engineer, you will work independently or as part of a team to deliver cloud-based technology solutions across products, projects, and strategic initiatives. You will collaborate with internal and external stakeholders to design and implement features, partnering with technical teams across the organization to ensure successful delivery. This role also involves close coordination with tech leads, architects, and managers. ________________________________________ Key Responsibilities - Partner with Scrum Masters, Product Owners, and other stakeholders to define and implement new features for digital products. - Own the maintenance and security of existing solutions, platforms, and frameworks; design new ones and recommend upgrades or fixes. - Troubleshoot production issues of varying complexity and severity, managing resolution from identification through completion. - Foster a culture of open communication, collaboration, and mutual respect. - Identify risks, inefficiencies, and opportunities in development approaches; propose platform-wide architectural solutions based on data and best practices. - Evaluate all technical options, including custom development, third-party subsystems, enterprise platforms, and existing components. - Actively contribute throughout the software development life cycle (SDLC), including requirements analysis, design, coding, testing, release, and technical support. - Create technical documentation such as system diagrams, design documents, release procedures, and other relevant artifacts. - Collaborate effectively on cross-functional projects and during production issue resolution. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Minimum 6 years of hands-on experience with Azure data services (Data Factory, Databricks, ADLS, SQL DB, etc.). - Bachelor's degree in Computer Science, Computer Engineering, or a STEM discipline (Science, Technology, Engineering, Math). - Strong working knowledge of Databricks and Azure Data Factory (ADF). - Expertise in databases and SQL. - Familiarity with Agile delivery methodologies. - Ability to multi-task and reprioritize in a dynamic environment. - Excellent written and verbal communication skills. - Working knowledge of code management and CI/CD systems (Azure DevOps or GitHub). - Familiarity with NoSQL databases (e.g., MongoDB). - Exposure to IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

Job Description About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed. Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest. Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future. In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield. This acquisition unites Bloomfield's innovative technology with Kubota's extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide. Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry. About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products. We are now reorganizing the team into AI Platform and AI Product Streams. Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end. This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers. We are looking for an AI Engineer - Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users. You will take an ask from the Product team (e.g., “We are counting citrus; we want to estimate their weight.”) and drive the early phases of the ML lifecycle: data selection annotation strategy data and annotation quality and exploration metric definition model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers' operations. Responsibilities: Work closely with AI, Product, and Engineering teams to build AI product focusing on value delivered to customer Own the early ML lifecycle: data exploration, curation, annotation strategy, metric design, model prototyping, and experimentation Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics Translate raw plant imagery and sensor data into business insights for specialty crops (e.g., citrus, grapes, berries) Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline Contribute to shaping our new AI Product Stream structure and workflows Qualifications: Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection, exploration, cleaning, model design and training, performance evaluation) comfort working with real-world, messy data Solid Python experience Solid knowledge in Machine Learning and Computer Vision ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods A product mindset - willing to iterate with users, look at thousands of images, define metrics, and refine models Bonus Points: knowledge of plant physiology, plant development, agronomy, or related discipline Experience with high-throughput phenotyping, crop estimation, or yield prediction Experience working with imagery or sensor data in agricultural environments Experience in Deep Learning Experience in C++ What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: Competitive base salary & bonus Opportunity to shape the future of AI in agriculture within a small, focused team backed by Kubota Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes. Powered by JazzHR aKxI1KPL33

As a Data Engineer, you will work independently or as part of a team to deliver cloud-based technology solutions across products, projects, and strategic initiatives. You will collaborate with internal and external stakeholders to design and implement features, partnering with technical teams across the organization to ensure successful delivery. This role also involves close coordination with tech leads, architects, and managers. ________________________________________ Key Responsibilities - Partner with Scrum Masters, Product Owners, and other stakeholders to define and implement new features for digital products. - Own the maintenance and security of existing solutions, platforms, and frameworks; design new ones and recommend upgrades or fixes. - Troubleshoot production issues of varying complexity and severity, managing resolution from identification through completion. - Foster a culture of open communication, collaboration, and mutual respect. - Identify risks, inefficiencies, and opportunities in development approaches; propose platform-wide architectural solutions based on data and best practices. - Evaluate all technical options, including custom development, third-party subsystems, enterprise platforms, and existing components. - Actively contribute throughout the software development life cycle (SDLC), including requirements analysis, design, coding, testing, release, and technical support. - Create technical documentation such as system diagrams, design documents, release procedures, and other relevant artifacts. - Collaborate effectively on cross-functional projects and during production issue resolution. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Minimum 8 years of hands-on experience with Azure data services (Data Factory, Pyspark/Spark, ADLS, SQL DB, etc.). - Bachelor's degree in Computer Science, Computer Engineering, or a STEM discipline (Science, Technology, Engineering, Math). - Strong working knowledge of Databricks and Azure Data Factory (ADF). - Expertise in databases and SQL. - Familiarity with Agile delivery methodologies. - Ability to multi-task and reprioritize in a dynamic environment. - Excellent written and verbal communication skills. - Working knowledge of code management and CI/CD systems (Azure DevOps or GitHub). - Familiarity with NoSQL databases (e.g., MongoDB). - Exposure to IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a software engineer to join Aurora's Data Platform. The Data Platform Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets, along with their life cycle management. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system. In this role, you will Contribute to the development of internal products and following best practices to simplify data retention. Work on tasks to improve the log data availability, discoverability and end to end lifecycle. Design efficient AV Log storage patterns that balance performance and affordability. Help drive the system efficiency by improving data hygiene across Aurora to deliver cost efficiency. Support software engineers across different teams and proactively working together with stakeholders on tasks to satisfy company OKR. Required Qualifications BS/MS or PhD in Computer Science or a related field Minimum 1 year related experience Required programming skills: GoLang/Python General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services. AWS infrastructure experience, including S3 and DynamoDB in a production commercial system Knowledge of database design, database management and database scalability. Desirable Qualifications Proficiencies with coding in C++ Proficiencies with Linux system Experience with large scale distributed systems or microservice architectures Experience with DynamoDB / AWS Glue Catalog / AWS Athena A passion for writing robust, intuitive, high-performance code, and being pragmatic about it Ability to navigate and work efficiently in large codebase Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization. The base salary range for this position is $105,000 - $157,000 per Year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-#Entry-Level

About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed. Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest. Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future. In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield. This acquisition unites Bloomfield's innovative technology with Kubota's extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide. Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry. About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products. We are now reorganizing the team into AI Platform and AI Product Streams. Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end. This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers. We are looking for an AI Engineer - Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users. You will take an ask from the Product team (e.g., "We are counting citrus; we want to estimate their weight.") and drive the early phases of the ML lifecycle: * data selection * annotation strategy * data and annotation quality and exploration * metric definition * model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers' operations. Responsibilities: * Work closely with AI, Product, and Engineering teams to build AI product focusing on value delivered to customer * Own the early ML lifecycle: data exploration, curation, annotation strategy, metric design, model prototyping, and experimentation * Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics * Translate raw plant imagery and sensor data into business insights for specialty crops (e.g., citrus, grapes, berries) * Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline * Contribute to shaping our new AI Product Stream structure and workflows Qualifications: * Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection, exploration, cleaning, model design and training, performance evaluation) * comfort working with real-world, messy data * Solid Python experience * Solid knowledge in Machine Learning and Computer Vision * ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods * A product mindset - willing to iterate with users, look at thousands of images, define metrics, and refine models Bonus Points: * knowledge of plant physiology, plant development, agronomy, or related discipline Experience with high-throughput phenotyping, crop estimation, or yield prediction * Experience working with imagery or sensor data in agricultural environments * Experience in Deep Learning * Experience in C++ What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: * Competitive base salary & bonus * Opportunity to shape the future of AI in agriculture within a small, focused team backed by Kubota Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.