Data scientist jobs in Peters, PA

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: *********************************************************************** Responsibilities 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.

* Bachelor's Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field. * Up to 4 years of professional experience including exposure to data science concepts and computational tools (i.e., Python, Spark (PySpark), SQL, Hadoop, etc.). Professional, internship or project-based experience preferred. * Familiarity with varying database structures and experience working with large datasets. * Exposure to data visualization technology and capabilities (i.e., Power BI, Tableau). * Exposure to a variety of data products that will complement data preparation, algorithm models and visualization development (i.e., Panda Libraries, Jupyter Notebooks, Power BI, etc.). * Intermediate technical and analytical abilities with programming skills in a language such as Python. * Basic understanding of the techniques to collect, organize, blend, cleanse and synthesize large volumes of disparate data. * Ability to effectively communicate "data stories" to other non-technical business partners. The experience level of the candidate will determine level of position as Data Scientist or Sr. Data Scientist MAJOR DUTIES: * Develop knowledge and then utilize a range of data science tools and techniques including Azure Cloud Data & Advanced Analytics tech stack, Spark via Databricks, Azure Machine Learning and PowerBI/Tableau. * Participate in the development of documentation; coordinate closely with team members and leadership to communicate project statuses and initiatives. * Design new data science solutions and implement research ideas and trading algorithms to drive insights consumed by analysts and portfolio managers. * Work in an agile, collaborative environment, partnering with other data scientists, data engineers, and data analysts of all backgrounds and disciplines to bring data and analytics to life. * Assist development of data pipeline programs and perform analysis on alternative and traditional datasets to develop investment factors and insights using machine learning and quantitative methods. * Identify and develop custom data models and the appropriate algorithmic methods (regression models, classification, tree-based methods, text mining, natural language processing, unsupervised learning such as clustering, etc.) to support all stages of the data science lifecycle cycle. * Build compelling, clear, and powerful visualizations that are useful and appealing to users. * Prepare written and verbal communications along with preparing and delivering data science artifacts (abstract, data sources / data dictionaries, code library, research / findings, modeling / deployment report, new ideas/next steps). * Responsible for staying on top of analytical techniques such as machine learning, deep learning and text analytics as they rapidly evolve. HOURS/LOCATION: * 8:30 a.m. - 5:00 p.m. (Overtime as required) * Pittsburgh, PA 15222 * Hybrid Location (office/remote) EXPLANATORY COMMENTS: * Excellent analytical skills with the ability to understand business issues/strategy * Demonstrate the ability to work independently as a self-starter, to drive and contribute to success * Excellent problem solving, decision-making and project management skills

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 inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Govini, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. 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. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel Scope of Responsibilities Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem solving Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers Qualifications US Citizenship is Required Required Skills: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred Minimum 3 years of hands-on data science experience Minimum 3 years deriving key insights and KPIs for external and internal customers Regular development experience in Python Prior hands-on experience working with data-driven analytics Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks) Ability to work independently with little supervision Strong communication and interpersonal skills A burning desire to work in a challenging fast-paced environment 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 working on agile/scrum teams Experience building datasets from common database tools using flavors of SQL Expertise with automation and streaming data Experience with major NLP frameworks (spa Cy, fasttext, BERT) Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS Familiarity with Git source control management Experience working in a product organization Experience analyzing financial, supply chain/logistics, or intellectual property 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.

We are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data -driven research across our company, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life. In order to do this job well, you must be a highly organized problem -solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. 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. We need a creative, out -of -the -box thinker who shares our passion and obsession with quality. This role is a full -time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel Scope of Responsibilities Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real -time decision systems Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the SaaS platform Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code Partner with internal business analysts and external client teams to seek out the best solutions regarding data -driven problem solving Participate in end -to -end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers RequirementsQualifications US Citizenship is Required Required Skills: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred Multiple years of hands -on data science experience Multiple deriving key insights and KPIs for external and internal customers Regular development experience in Python Prior hands -on experience working with data -driven analytics Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms Experience using machine learning algorithms (e.g., gradient -boosted machines, neural networks) Ability to work independently with little supervision Strong communication and interpersonal skills A burning desire to work in a challenging fast -paced environment 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 working on agile/scrum teams Experience building datasets from common database tools using flavors of SQL Expertise with automation and streaming data Experience with major NLP frameworks (spa Cy, fasttext, BERT) Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS Familiarity with Git source control management Experience working in a product organization Experience analyzing financial, supply chain/logistics, or intellectual property 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.

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. Job Description Contribute to develop data analysis plans. Statistical programming using statistical software for data analysis. Communicate analytical findings to diverse audiences including Principal Investigators, research partners and colleagues. Independently work on projects with minimal input from PI. Lead development, dissemination, and implementation of reproducible statistical programs for a multi-state, multi-year study. Assist in manuscript preparation (graphs, tables, figures) for publication, grant proposals. Perform data curation and analysis on billions of claims and electronic health records, including Medicaid, NVSS Birth Certificate data to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors - selecting algorithms, preprocessing data, training models, and evaluating performance to generate actionable insights. Requirements: Bachelor's degree in Biostatistics, Data Analytics, Mathematics, or a related field plus 1 year of experience as a Data Scientist III or a Data Analyst or related occupation. Offered salary: $81,883 per year. Bachelor's degree in Biostatistics, Data Analytics, Mathematics, or a related field plus 1 year of experience as a Data Scientist III or a Data Analyst or related occupation. The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. Assignment Category Full-time temporary Campus Pittsburgh Minimum Education Level Required Bachelor's Degree Minimum Years of Experience Required 1 Hiring Range TBD Based on Qualifications 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, Cover Letter

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.

Sr Advanced Data Scientist (Senior Adv Software Engineer) Sr Advanced Data Scientist (Senior Adv Software Engineer) for Vocollect, Inc. in Pittsburgh, PA Responsibilities: Responsible for developing and supporting Honeywell's Voice Enterprise software platforms (VoiceConsole, VoiceCheck, VoiceLink) using Agile Scrum/SAFe methodologies and expected to use industry standard tool (e.g., Jira, Bitbucket Github, Confluence, etc.). Work directly with developers, testers, and product managers to deliver across the entire application life cycle (Concept, Design, Build, Deploy, Test, Release and Support). Perform software development on existing products while defining/designing next generation platform such as microservices architecture (Spring Boot), flexible API development (GraphQL), container orchestration (Kubernetes) and knowledge of migrating enterprise applications to Software-as-a-Service (SaaS) model to Azure cloud. Perform demos on features or concepts. Participate in the Secure Software Lifecycle activities with Global and Cyber-Security teams; interact cross-functionally with Honeywell global teams, partners and customers to address customer field issues; support the learning, mentoring and on-boarding of new and/or junior team members. Experience with mobile application development for creating and deploying across iOS and Android devices. ADDITIONAL INFORMATION: Location: Pittsburgh, PA 40 hours/week Employee Referral Fee: $1500 If offered employment must have legal right to work in U.S. EOE. YOU MUST HAVE: Qualified applicants must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or related field, and 5 years of enterprise, webbased software development experience. Full term of experience must include: developing, scripting, testing and troubleshooting applications developed in Java plus one or more of the following languages: Javascript, React, Python, C/C++; working knowledge of Spring, Springboot, Struts, SQL/No-SQL, RESTful services, GraphQL; efficient with software version control tools (e.g, Bitbucket, SVN, Github, GitLab) and defect tracking tools (e.g., Jira, Bugzilla); demonstrated experience with cloud technologies including an understanding of modern microservice-based architectures and methodologies; experience converting enterprise applications to Software-as-a-Service solutions by migrating it to a cloud platform (e.g. Azure); experience using container orchestration tools (e.g. Kubernetes) for automating software deployment, scaling, and management; and knowledge of speech recognition technologies for transcribing spoken audio into text. Up to 10% domestics travel required. Telecommuting is permitted up to two (2) times per week. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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.

JOB TITLE: Data Engineer/DBA DEPARTMENT: IT REPORTING RELATIONSHIP: CIO FLSA STATUS: Salary (Exempt) Century is one of the nation's largest debt settlement companies, helping consumers resolve their unsecured debts. This is an exciting opportunity to join a high growth, evolving, proven, and successful organization. The company's culture has been built on caring for its clients and employees for over 20 years. We value each of our team members and recognize that their wide array of perspectives and life experiences fuel our organization's strength. Our ongoing commitment to every member of our team has earned us several ‘Best/Top Workplace' and ‘growth' awards, and those recognitions inspire us to continually exceed expectations. JOB SUMMARY: We're seeking a critical role in Data Engineering to own the design/redesign and operation of our modern data pipelines. You will build and maintain scalable ingestion frameworks, (ETL) implement robust data quality/validation controls, and collaborate and partner closely with the analyst and application teams to deliver well-modeled, trustworthy datasets. Your work will directly support mission‑critical reporting, analytics, and product features. A successful candidate will be able to create a world class data environment enabling high-performance and deliverables. DUTIES AND RESPONSIBILITIES Data Engineering Design, build, and maintain ETL/ELT pipelines using tools such as Airbyte, SQL Server Integration Services (SSIS), or cloud-native orchestration. Develop and maintain scalable data ingestion frameworks for structured and unstructured data. Implement robust data quality, validation, and monitoring checks across all pipelines. Collaborate with analysts, data scientists, and business stakeholders to support data modeling and schema design that aligns with analytics and application needs. Support the development of data warehouse architectures (star schemas, snowflake schemas, SCDs, CDC, etc.). Database Development Develop efficient, maintainable SQL (DDL/DML), stored procedures, functions, triggers, and views across multiple environments (dev, QA, prod). Optimize complex queries for performance, scalability, and cost efficiency. Implement indexing strategies, partitioning, and query-plan reviews to improve system performance. Support application developers with database-driven features, including schema design, query optimization, and integrations. Participate in code reviews, ensuring database changes follow best practices and governance standards. Database Administration (DBA) Manage and administer SQL Server, Snowflake, or other RDBMS environments. Perform installation, configuration, upgrades, patches, and performance tuning. Ensure database security, encryption, role-based access, and compliance with internal and regulatory standards. Monitor database health and performance using tools such as SQL Server Profiler, Query Store, CloudWatch, New Relic, etc. Implement and maintain backup and recovery strategies, high availability (HA), and disaster recovery (DR) solutions. Troubleshoot incidents and provide on-call support for production issues. Data Governance & Architecture Establish and enforce data standards, naming conventions, documentation, version control, and deployment processes. Support metadata management, data lineage, and data cataloging initiatives. Contribute to capacity planning, storage management, and system scalability strategies. KNOWLEDGE AND ESSENTIAL SKILLS Excellent problem-solving abilities with strong attention to detail. Ability to work cross-functionally with Engineering, Business Intelligence, Analytics, and Product teams. Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Self-driven, proactive, and capable of managing multiple priorities in fast-paced environments. Experience supporting both operational databases and analytics data warehouses. Understanding of data governance frameworks and compliance (SOC2, HIPAA, GDPR). EDUCATION AND/OR WORK EXPERIENCE Certifications in SQL and ETL tools are preferred. 3-5+ years of experience in data engineering, database development, and/or database administration. Strong proficiency with SQL (T-SQL, PL/pg SQL, or similar) and relational database design. Experience administering and optimizing SQL Server, Snowflake, Azure, or similar platforms. Hands-on experience with ETL/ELT development, data modeling, and pipeline orchestration tools. Experience with version control (Git), CI/CD, and code-based database deployments. Familiarity with cloud environments (AWS, Azure, or GCP). Strong understanding of performance tuning, indexing, query plans, and workload optimization. We love our employees! Competitive compensation package Career development & growth opportunities through performance and career pathing 100% Premiums paid on Basic Life insurance, AD&D, Short-Term Disability, and Long-Term Disability Affordable Medical, Dental, and Vision coverage that begins on the first day of employment with generous contribution Optional Supplemental Insurance for Life Insurance, Critical Illness, and Accident Employee Recognition Programs - Standing Ovation, Voice of Support, and Time in Service Bonus 401K plan with 100% matching up to 4% and immediately vested No cost Employee Assistance Program and Travel Assistance Generous PTO package that starts on day 1 and increases after 1st year Commitment to employee communication through employee suggestions and engagement surveys Experienced leadership team with decades of industry experience Great team members who want you to succeed!

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.

We are seeking an accomplished Tech Lead - Data Engineer to architect and drive the development of large-scale, high-performance data platforms supporting critical customer and transaction-based systems. The ideal candidate will have a strong background in data pipeline design, Hadoop ecosystem, and real-time data processing, with proven experience building data solutions that power digital products and decisioning platforms in a complex, regulated environment. As a technical leader, you will guide a team of engineers to deliver scalable, secure, and reliable data solutions enabling advanced analytics, operational efficiency, and intelligent customer experiences. Must-Have Skills 8-10 years of experience in data engineering, with at least 2-3 years in a technical leadership role. Strong expertise in the Hadoop ecosystem (HDFS, Hive, MapReduce, HBase, Pig, etc.). Experience working with Avro, Parquet, or other serialization formats. Proven ability to design and maintain ETL / ELT pipelines using tools such as Spark, Flink, Airflow, or NiFi. Proficiency in Python, Scala for large-scale data processing. Strong understanding of data modeling, data warehousing, and data lake architectures. Hands-on experience with SQL and both relational and NoSQL data stores. Cloud data platform experience with AWS. Deep understanding of data security, compliance, and governance frameworks. Excellent problem-solving, communication, and leadership skills. Key Roles & Responsibilities Lead and oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and decisioning workflows. Architect and implement data ingestion, transformation, and storage frameworks leveraging Hadoop, Avro, and distributed data processing technologies. Partner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real-time data accessibility and reliability. Provide technical leadership and mentorship to a team of data engineers, ensuring adherence to coding, performance, and data quality standards. Design and implement robust data frameworks to support next-generation customer and business product launches. Develop best practices for data governance, security, and compliance aligned with enterprise and regulatory requirements. Drive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability. Collaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision-making. Evaluate and integrate emerging data technologies to future-proof the data platform and enhance performance.

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

Sr Advanced Data Scientist (Senior Adv Software Engineer) Sr Advanced Data Scientist (Senior Adv Software Engineer) for Vocollect, Inc. in Pittsburgh, PA Responsibilities: Responsible for developing and supporting Honeywell's Voice Enterprise software platforms (VoiceConsole, VoiceCheck, VoiceLink) using Agile Scrum/SAFe methodologies and expected to use industry standard tool (e.g., Jira, Bitbucket Github, Confluence, etc.). Work directly with developers, testers, and product managers to deliver across the entire application life cycle (Concept, Design, Build, Deploy, Test, Release and Support). Perform software development on existing products while defining/designing next generation platform such as microservices architecture (Spring Boot), flexible API development (GraphQL), container orchestration (Kubernetes) and knowledge of migrating enterprise applications to Software-as-a-Service (SaaS) model to Azure cloud. Perform demos on features or concepts. Participate in the Secure Software Lifecycle activities with Global and Cyber-Security teams; interact cross-functionally with Honeywell global teams, partners and customers to address customer field issues; support the learning, mentoring and on-boarding of new and/or junior team members. Experience with mobile application development for creating and deploying across iOS and Android devices. ADDITIONAL INFORMATION: Location: Pittsburgh, PA 40 hours/week Employee Referral Fee: $1500 If offered employment must have legal right to work in U.S. EOE. Qualifications YOU MUST HAVE: Qualified applicants must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or related field, and 5 years of enterprise, webbased software development experience. Full term of experience must include: developing, scripting, testing and troubleshooting applications developed in Java plus one or more of the following languages: Javascript, React, Python, C/C++; working knowledge of Spring, Springboot, Struts, SQL/No-SQL, RESTful services, GraphQL; efficient with software version control tools (e.g, Bitbucket, SVN, Github, GitLab) and defect tracking tools (e.g., Jira, Bugzilla); demonstrated experience with cloud technologies including an understanding of modern microservice-based architectures and methodologies; experience converting enterprise applications to Software-as-a-Service solutions by migrating it to a cloud platform (e.g. Azure); experience using container orchestration tools (e.g. Kubernetes) for automating software deployment, scaling, and management; and knowledge of speech recognition technologies for transcribing spoken audio into text. Up to 10% domestics travel required. Telecommuting is permitted up to two (2) times per week.

Aurora is working to deliver the benefits of self-driving technology safely, quickly, and broadly. We are searching for a Senior Safety Data Scientist to support the development of quantitative safety arguments and tooling infrastructure. You will apply statistical analysis, machine learning, and probabilistic modeling to inform safety strategy and support external safety communications. You will collaborate with stakeholders across software, systems, hardware, data science, data infrastructure, operations, product, legal, and government relations to shape the future of autonomous vehicle safety. In This Role, You Will: Design and deploy safety related data pipelines, models, tooling, and infrastructure in partnership with technical and non-technical stakeholders. Execute in-depth safety analysis on operational and simulation data, distilling complex findings into immediate, actionable risk mitigation strategies. Implement safety-related initiatives in alignment with safety goals and best practices. Develop safety related processes and reporting for organizational, operational, and product data to ensure accuracy and consistency. Support the identification of systemic, latent, and emerging risks in fleet operations to advance root cause analyses and implement appropriate risk management measures. Define and evolve safety metrics by designing and validating novel measures using hypothesis testing and exploratory analysis. Audit and validate technical safety evidence and artifacts spanning the breadth of self-driving technology (hardware, software, and operations) to ensure alignment with quantitative safety arguments and regulatory standards through enterprise tool suites Conduct root cause analysis for safety issues and support the formulation of specific, data-backed corrective actions. Lead the quantitative development of internal and external reports (e.g., Voluntary Safety Self Assessment) and public statements, ensuring safety arguments are statistically robust. Present and expertly communicate the output of technical analysis to both technical and non-technical audiences. Development of new processes and procedures related to safety metrics, data integrity, and issue handling. Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience. 5+ years of industry experience solving complex problems Proficiency in programming languages such as Python and R Experience building and deploying models using Amazon Web Services (AWS) tools, e.g. AWS Bedrock, Redshift Experience working with data transformation tools such as DBT Knowledge and experience with relational databases (SQL) and data warehouses Strong skills for querying, analyzing, and visualizing large datasets Expertise in applied statistics, exploratory data analysis, hypothesis testing, and probabilistic modeling Experience in machine learning techniques Effective written and verbal communication skills to present work with, and present technical analysis to, both technical and non-technical audiences Ability to work independently and as part of a cross-functional team Desirable Qualifications Experience working in a safety-related domain Knowledge of automotive domain and relevant safety standards Experience in the Autonomous Vehicles, Aerospace, or Robotics domains The base salary range for this position is $146,000 - $211,500 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-SP1 #Mid-Senior

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Purpose of the Internship: As an intern within the Global Data Office (GDO), you will be part of an international team that establishes policies and standards for the proper management of critical data across Federated Hermes, support the ongoing operations processes related to data onboarding, meta data management, access management and data governance tool enhancements. The interns will actively participate in strategic design sessions, facilitating our operational processes, working with stakeholders in the US and UK, and interacting with out leadership team. The role will provide a unique insight into several facets of Federated Hermes given the breadth of our scope. Major Duties: * Work in cooperation with the GDO team members to provide insight and support into Federated Hermes data governance framework, policies and processes * Facilitate GDO processes and work with stakeholders to complete tasks in a timely manner * Engage the numerous GDO partners to define use cases to support the adoption of the GDO toolbox * Prepare content for team and leadership meetings including quantitative analysis, data visualization and creating Powerpoint presentations. * Participate in a firm-wide intern "Hack-a-thon" Hours/location: * 8:30 a.m. to 5:00 p.m. * Opportunities available in Pittsburgh and Warrendale locations * Hybrid work arrangement (in office / remote). Expectation is 3 days in the office, 2 days remote Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Strong communication skills * Strong command of Office products especially Excel and Power Point * Ability to work effectively in a team environment Position Specifications: * 3.2 or better QPA preferred * Course work that covers analytical skills, risk management practices, and/or data management * Course work and hands-on exposure to MS Excel and PowerPoint

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, 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.