Principal Data Scientist The principal data scientist will lead the design, development, and implementation of advanced data science initiatives across business units to align with strategic objectives. They will spearhead the transformation of innovative ideas into real-world solutions using sophisticated analytical techniques such as machine learning and optimization. The role includes leading and developing a team of data scientists to deliver impactful analytical solutions, embedding innovations into business operations, setting the AI & ML agenda, and ensuring continuous improvement and innovation. The position requires a master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science. Proficiency in an analytical programming language, advanced analytical techniques, cloud computing environments, and machine learning lifecycle is essential. The ideal candidate will have strong leadership, problem-solving, and analytical skills, with the ability to communicate complex data insights effectively to stakeholders across the organization.

Data Scientist Description - This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation. The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development. Responsibilities <ul> <li>Leads data mining using modern tools and programming languages. </li><li>Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions. </li><li>Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models. </li><li>Strategizes models to uncover patterns and predictions creating business value and innovation. </li><li>Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives. </li><li>Ties insights into effective visualizations communicating business value and innovation potential. </li><li>Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution. </li><li>Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance. </li><li>Represents the data science team for all phases of larger and more-complex development projects. </li><li>Provides guidance, training and mentoring to less experienced staff members. </li></ul>Qualifications <ul> <li>Passion for data science & delivering data driven outcomes. </li><li>Expert knowledge of Python, SQL, and PySpark. </li><li>Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn. </li><li>Ability to handle large amounts of structured and unstructured data and apply modern data transformation methodologies. </li><li>Extensive experience using various machine learning algorithms (e.g., classification, regression, clustering) to develop and deploy predictive models </li><li>Leads data science projects, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance. </li><li>Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models. </li><li>Ability to uncover patterns and predictions from data to create business value and innovation. </li><li>Strong analytical, problem-solving, and critical-thinking abilities. </li><li>Ability to deal with ambiguity and work collaboratively in a high paced environment. </li><li>Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments. </li><li>Experience visualizing data and conveying insights in a clear and effective manner </li></ul>What types of tools, software, hardware <ul> <li>Programming Languages: Python, SQL </li><li>Machine Learning Frameworks: Scikit-learn, Tensorflow, PyTorch, Pandas, Numpy </li><li>Data Visualization: Power BI </li><li>Preferred: Databricks, Microsoft Azure, Big Data, NLP </li></ul>Education, certifications, and areas of studies <ul> <li>Four-year or Graduate Degree in Mathematics, Statistics, Computer Science, Data Science, or related field. </li></ul>Years of experience <ul> <li>Typically has 7-10 years of work experience, preferably in data science, statistical modeling, machine learning, or a related field. </li></ul>Knowledge & Skills <ul> <li>Data Science </li><li>Machine Learning/AI </li><li>Big Data </li><li>Data Mining </li><li>Deep Learning </li><li>Data Visualization </li><li>Programming Languages (Python, SQL) </li><li>Statistics </li><li>Predictive Modeling </li><li>Time-Series Forecasting </li></ul>Cross-Org Skills •Effective Communication •Results Orientation •Learning Agility •Digital Fluency •Customer Centricity Impact & Scope •Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity •Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The base pay range for this role is $136,850 to $198,450 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: <ul> <li>Health insurance </li><li>Dental insurance </li><li>Vision insurance </li><li>Long term/short term disability insurance </li><li>Employee assistance program </li><li>Flexible spending account </li><li>Life insurance </li><li>Generous time off policies, including; <ul><li>4-12 weeks fully paid parental leave based on tenure </li><li>11 paid holidays </li><li>Additional flexible paid vacation and sick leave (US benefits overview) </li></ul> </li></ul> The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. Department Summary: MITRE's Law Enforcement (LE) and U.S. Coast Guard Department focuses on operational support across a broad range of mission outcome areas for Homeland Security sponsors. The LE & USCG Department strives to provide excellence in systems engineering, operational modeling, cybersecurity, intelligence analysis, AI/ML data analytics, sensor systems, and terrestrial & satellite communications with an emphasis on both analytical and lab-based experimentation. MITRE is seeking an experienced Senior Data Scientist who will lead high-visibility/high-impact efforts that provide significant contributions to the safety and security of the United States.The position will work closely with sponsor staff and regularly engage with senior leaders to understand their priorities and shape work, and they will be a strong collaborator across the Division and MITRE Public Sector (MPS). Major focus areas include criminal network analysis and disruption, digital marketplaces, and transnational criminal organizations and associated activities. Additional areas of responsibility include cybercrime investigation improvement, cyber-mission systems engineering and guidance, system-of-system engineering, data engineering and analysis, experimentation, communications, and acquisition. Roles and Responsibilities: In this role, the selected candidate will provide strategic and operational leadership as a trusted advisor to senior leaders within the sponsor's organization in the areas of analysis and tradecraft in the fight against crime. Further, the selected candidate will contribute to efforts to: <ul> <li>Develop and implement advanced data models to identify cyber threats, utilizing extensive data sources to analyze adversarial behavior patterns, including Dark Web activity and cryptocurrency transactions. </li><li>Analyze structured and unstructured datasets from diverse sources, integrating insights about threat actors, malware campaigns, and financial movements across underground digital markets. </li><li>Lead the development of Python-based analytical tools to enhance the collection, transformation, and analysis of complex datasets, optimizing workflows for threat intelligence operations. </li><li>Serve as the go-to problem solver for challenging issues related to cyber intelligence, with colleagues and team members regularly seeking your expertise to address and resolve hard-to-crack problems. </li><li>Perform deep dives into emerging cyber threats, focusing on areas such as blockchain analysis, cryptocurrency tracing, and Dark Web intelligence, providing actionable insights that enhance defensive measures. </li><li>Design, implement, and maintain scalable data infrastructure that supports rapid data analysis and enables advanced querying and data mining in support of cyber threat intelligence objectives. </li><li>Collaborate with cross-functional teams, including threat analysts, software engineers, and cybersecurity experts, to understand mission requirements, translate them into data science solutions, and deliver timely results. </li><li>Communicate complex findings effectively through reports, dashboards, and presentations tailored for both technical and non-technical audiences, supporting strategic decision-making and operations planning. </li></ul>Basic Qualifications: <ul> <li>Typically requires a minimum of 5 years of related experience with a Bachelor's degree in Data Science, Computer Science, Cybersecurity, or related field; or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience. </li><li>Relevant prior military and/or law enforcement experience can be accepted in place of formal education and/or experience requirements. </li><li>Demonstrated expertise in Python with hands-on experience using data science libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. </li><li>Proven experience working with large-scale data stores, such as SQL databases, NoSQL (e.g., MongoDB), graph databases (e.g., Neo4J), or big data frameworks (e.g., Hadoop, Spark). </li><li>Solid understanding of cyber threat intelligence concepts, including adversary tactics, techniques, and procedures (TTPs), threat vectors, and actor behaviors. </li><li>Knowledge of blockchain technologies, cryptocurrency trends, and underground digital markets, with the ability to analyze blockchain transactions and the flow of cryptocurrency in the context of cyber threats. </li><li>Demonstrated ability to tackle complex problems and develop innovative solutions, showing persistence and resourcefulness in ambiguous situations. </li><li>Strong communication skills, with experience in developing clear, actionable reports and visualizations (e.g., Matplotlib, Plotly, Tableau) for diverse audiences. </li><li>Ability to obtain and maintain a TS/SCI clearance within the first year of service. </li><li>This position requires full-time on-site presence with the sponsor in Houston, TX. </li><li>Willingness to travel (up to 20%). </li></ul>Preferred Qualifications: <ul> <li>Master's degree in Data Science, Cybersecurity, or related field with specialization in areas such as cryptocurrency analysis, blockchain forensics, or Dark Web intelligence. </li><li>Experience conducting research and analysis on the Dark Web, deep web, and other underground online environments, leveraging data to identify threats. </li><li>Experience with trusted AI or explainable AI techniques applied to cybersecurity and intelligence problems. </li><li>Working knowledge of cloud environments (e.g., AWS, Azure) and MLOps, with a focus on deploying scalable analytics solutions. </li><li>Previous work experience in a classified environment, actively participating in cyber threat modeling, operational intelligence, or incident response. </li><li>Previous work experience performing (or providing data science support to) targeting analysis for HUMINT, cyber, and/or kinetic operations. </li><li>Active Top Secret or TS/SCI clearance is strongly preferred. </li></ul> This requisition requires the candidate to have a minimum of the following clearance(s): None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Top Secret/SCI Work Location Type: Onsite MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org. Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only. Benefits information may be found here

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us.

Department Summary:

MITRE's Law Enforcement (LE) and U.S. Coast Guard Department focuses on operational support across a broad range of mission outcome areas for Homeland Security sponsors. The LE & USCG Department strives to provide excellence in systems engineering, operational modeling, cybersecurity, intelligence analysis, AI/ML data analytics, sensor systems, and terrestrial & satellite communications with an emphasis on both analytical and lab-based experimentation.

MITRE is seeking an experienced Senior Data Scientist who will lead high-visibility/high-impact efforts that provide significant contributions to the safety and security of the United States.The position will work closely with sponsor staff and regularly engage with senior leaders to understand their priorities and shape work, and they will be a strong collaborator across the Division and MITRE Public Sector (MPS). Major focus areas include criminal network analysis and disruption, digital marketplaces, and transnational criminal organizations and associated activities. Additional areas of responsibility include cybercrime investigation improvement, cyber-mission systems engineering and guidance, system-of-system engineering, data engineering and analysis, experimentation, communications, and acquisition.

Roles and Responsibilities:

In this role, the selected candidate will provide strategic and operational leadership as a trusted advisor to senior leaders within the sponsor's organization in the areas of analysis and tradecraft in the fight against crime. Further, the selected candidate will contribute to efforts to:

Develop and implement advanced data models to identify cyber threats, utilizing extensive data sources to analyze adversarial behavior patterns, including Dark Web activity and cryptocurrency transactions.
Analyze structured and unstructured datasets from diverse sources, integrating insights about threat actors, malware campaigns, and financial movements across underground digital markets.
Lead the development of Python-based analytical tools to enhance the collection, transformation, and analysis of complex datasets, optimizing workflows for threat intelligence operations.
Serve as the go-to problem solver for challenging issues related to cyber intelligence, with colleagues and team members regularly seeking your expertise to address and resolve hard-to-crack problems.
Perform deep dives into emerging cyber threats, focusing on areas such as blockchain analysis, cryptocurrency tracing, and Dark Web intelligence, providing actionable insights that enhance defensive measures.
Design, implement, and maintain scalable data infrastructure that supports rapid data analysis and enables advanced querying and data mining in support of cyber threat intelligence objectives.
Collaborate with cross-functional teams, including threat analysts, software engineers, and cybersecurity experts, to understand mission requirements, translate them into data science solutions, and deliver timely results.
Communicate complex findings effectively through reports, dashboards, and presentations tailored for both technical and non-technical audiences, supporting strategic decision-making and operations planning.
Basic Qualifications:     Typically requires a minimum of 5 years of related experience with a Bachelor's degree in Data Science, Computer Science, Cybersecurity, or related field; or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
Relevant prior military and/or law enforcement experience can be accepted in place of formal education and/or experience requirements.
Demonstrated expertise in Python with hands-on experience using data science libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning.
Proven experience working with large-scale data stores, such as SQL databases, NoSQL (e.g., MongoDB), graph databases (e.g., Neo4J), or big data frameworks (e.g., Hadoop, Spark).
Solid understanding of cyber threat intelligence concepts, including adversary tactics, techniques, and procedures (TTPs), threat vectors, and actor behaviors.
Knowledge of blockchain technologies, cryptocurrency trends, and underground digital markets, with the ability to analyze blockchain transactions and the flow of cryptocurrency in the context of cyber threats.
Demonstrated ability to tackle complex problems and develop innovative solutions, showing persistence and resourcefulness in ambiguous situations.
Strong communication skills, with experience in developing clear, actionable reports and visualizations (e.g., Matplotlib, Plotly, Tableau) for diverse audiences.
Ability to obtain and maintain a TS/SCI clearance within the first year of service.
This position requires full-time on-site presence with the sponsor in Houston, TX.
Willingness to travel (up to 20%).
Preferred Qualifications:     Master's degree in Data Science, Cybersecurity, or related field with specialization in areas such as cryptocurrency analysis, blockchain forensics, or Dark Web intelligence.
Experience conducting research and analysis on the Dark Web, deep web, and other underground online environments, leveraging data to identify threats.
Experience with trusted AI or explainable AI techniques applied to cybersecurity and intelligence problems.
Working knowledge of cloud environments (e.g., AWS, Azure) and MLOps, with a focus on deploying scalable analytics solutions.
Previous work experience in a classified environment, actively participating in cyber threat modeling, operational intelligence, or incident response.
Previous work experience performing (or providing data science support to) targeting analysis for HUMINT, cyber, and/or kinetic operations.
Active Top Secret or TS/SCI clearance is strongly preferred.

This requisition requires the candidate to have a minimum of the following clearance(s):
None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret/SCI

Work Location Type:
Onsite

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.

MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org.

Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here

Location: Houston, TX Clearance: DHS Suitability - nice to have US Citizenship is required Experience: 5+ years Remote/Hybrid/Onsite: 100% Onsite work (non-negotiable) Skill Level DesiredYears ExpSenior5-10Expert11-15Subject Matter Expert16+ Full Time: Direct Hire No 3rd Party Vendors - No exceptions Note: Available Immediately & Benefits posted below Introduction Our client seeks a skilled Data Scientist / Data Engineer to join our team and support the Houston Field Office. In this role, you will analyze large and complex datasets to aid in cybercrime investigations, develop ETL processes, and collaborate closely with cybercrime investigators and forensic analysts to enhance investigative outcomes. Role - Analyze large and complex datasets to identify patterns, anomalies, and trends that can aid in cybercrime investigations. - Utilize advanced statistical methods and algorithms to extract actionable insights from data. - Develop and implement ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and integrated. - Design and optimize data indexing and search processes to facilitate efficient data retrieval and discovery. - Work closely with cybercrime investigators and forensic analysts to provide data-driven insights that enhance investigative outcomes. - Participate in cross-functional teams to integrate data engineering methodologies into ongoing investigations. - Create data visualizations and dashboards to present findings in an easily interpretable manner for both technical and non-technical stakeholders. - Prepare detailed reports and presentations for internal and external audiences. - Contribute to the development and refinement of internal analytics tools and platforms, enhancing the overall effectiveness of data-driven investigations. - Develop prototypes and algorithms to support specific investigative needs. - Understand and apply Large Language Models (LLMs) to traditional Natural Language Processing (NLP) problems. - Utilize LLMs to triage unstructured text and extract relevant information for investigations. - Bachelor's degree in data science, Statistics, Computer Science, or a related field. - Minimum of 5+ years in data analytics or data engineering, preferably with a focus on cybercrime or financial investigations. - Proficiency in programming languages such as Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL. - Strong analytical and problem-solving skills. - Familiarity with data visualization tools (e.g., Tableau, Power BI). - Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences. - Ability to work collaboratively in a team environment. - Experience in developing and implementing algorithms and prototypes. - Understanding of Large Language Models (LLMs) and their application to NLP problems. - Experience with traditional NLP techniques and tools. - Experience in cybercrime investigations or a related area. Salary/Rate: You know the salary range you are looking for, so let's talk after you fill out the application. Note: <ul><li>No 3rd party vendors or candidates</li><li>US Citizenship Required</li><li>Active DHS Suitability nice to have</li></ul>

LIVING OUR VALUES All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all our associates, shareholders, and the communities in which we live. JOB SUMMARY The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis. The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG ESSENTIAL FUNCTIONS Translates business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability. Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes. Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG’s analytics expertise. Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value. Own the analytics solution portfolio, including model maintenance and improvements over time. SUPERVISORY RESPONSIBILITIES Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws. Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes. Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop. Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms., Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines. SOFT SKILLS Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects. Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights. Sees overall 'picture' and alternative approaches and develop vision of what may be possible. Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case & enterprise decisions. CERTIFICATES, LICENSES, REGISTRATIONS Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. PHYSICAL REQUIREMENTS The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required daily to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the workday; and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds. WORK ENVIRONMENT The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. While the job is generally performed in an office environment, the associate is occasionally exposed to wet and/or humid conditions, areas in which moving mechanical parts, fumes, toxic or caustic chemicals are present, and outside weather conditions. The noise level in the office environment is typically quiet, but the associate may be occasionally exposed to loud noise levels. TRAVEL REQUIRED Minimal travel is required for this position (up to 20% of the time and on a domestic basis). The Friedkin Group and its affiliates are equal opportunity employers and maintain drug-free workplaces by conducting pre-employment drug testing. TOTAL REWARDS Our Total Rewards package is an integral part of how we recognize our associates’ contributions as well as attract, retain and reward the most qualified employees. We are committed to providing a fair and competitive compensation structure that includes base pay and performance based rewards, where applicable. Compensation is based on various factors including, but not limited to, skill set, experience, qualifications and job-related requirements. Our benefits include medical, dental, and vision along with wellness programs, retirement plans, paid leave and much more To learn more about these programs and many more, take a tour of our Benefits Page We are seeking candidates who are legally authorized to work in the United States, without Sponsorship. HP125 LI-BM1

Location: Houston, TX Clearance: DHS Suitability - nice to have US Citizenship is required Experience: 5+ years Remote/Hybrid/Onsite: 100% Onsite work (non-negotiable) Skill Level DesiredYears ExpSenior5-10Expert11-15Subject Matter Expert16+ Full Time: Direct Hire No 3rd Party Vendors - No exceptions Note: Available Immediately & Benefits posted below Introduction Our client seeks a skilled Data Scientist / Data Engineer to join our team and support the Houston Field Office. In this role, you will analyze large and complex datasets to aid in cybercrime investigations, develop ETL processes, and collaborate closely with cybercrime investigators and forensic analysts to enhance investigative outcomes. Role - Analyze large and complex datasets to identify patterns, anomalies, and trends that can aid in cybercrime investigations. - Utilize advanced statistical methods and algorithms to extract actionable insights from data. - Develop and implement ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and integrated. - Design and optimize data indexing and search processes to facilitate efficient data retrieval and discovery. - Work closely with cybercrime investigators and forensic analysts to provide data-driven insights that enhance investigative outcomes. - Participate in cross-functional teams to integrate data engineering methodologies into ongoing investigations. - Create data visualizations and dashboards to present findings in an easily interpretable manner for both technical and non-technical stakeholders. - Prepare detailed reports and presentations for internal and external audiences. - Contribute to the development and refinement of internal analytics tools and platforms, enhancing the overall effectiveness of data-driven investigations. - Develop prototypes and algorithms to support specific investigative needs. - Understand and apply Large Language Models (LLMs) to traditional Natural Language Processing (NLP) problems. - Utilize LLMs to triage unstructured text and extract relevant information for investigations. - Bachelor's degree in data science, Statistics, Computer Science, or a related field. - Minimum of 5+ years in data analytics or data engineering, preferably with a focus on cybercrime or financial investigations. - Proficiency in programming languages such as Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL. - Strong analytical and problem-solving skills. - Familiarity with data visualization tools (e.g., Tableau, Power BI). - Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences. - Ability to work collaboratively in a team environment. - Experience in developing and implementing algorithms and prototypes. - Understanding of Large Language Models (LLMs) and their application to NLP problems. - Experience with traditional NLP techniques and tools. - Experience in cybercrime investigations or a related area. Salary/Rate: You know the salary range you are looking for, so let's talk after you fill out the application. Note: <ul> <li>No 3rd party vendors or candidates </li><li>US Citizenship Required </li><li>Active DHS Suitability nice to have </li> </ul>

**Description**HP is the world's leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain.HP's SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship.Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you!**Responsibilities**+ Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management+ Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas+ Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value+ Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale+ Use proven MOC techniques to ensure smooth adoption of new solutions+ Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements**Education and Experience Required**+ MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration+ Operational experience in one of the following: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area+ 10+ years experience**Knowledge and Skills**+ Applied experience with machine learning and optimization on large datasets+ Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel+ Experience with generative-AI+ Passion for data science & delivering data-driven outcomes+ Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver)+ Expertise with inventory optimization math and deployment of the mathematical formulas into a business process+ Demonstrated practical experience in an operational environment+ Experience implementing and handing off operational analytical solutions to business users+ Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment+ Excellent problem solver+ Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence+ Experience with data visualization and data presentation in a clear and effective manner+ Experience leading, collaborating with, and delivering results in cross-functional teams+ Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling+ A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainabilityThe base pay range for this role is **$137,000 to $211,000** annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:* Health insurance* Dental insurance* Vision insurance* Long term/short term disability insurance* Employee assistance program* Flexible spending account* Life insurance* Generous time off policies, including;* 4-12 weeks fully paid parental leave based on tenure* 11 paid holidays* Additional flexible paid vacation and sick leave (US benefits overview (https://hpbenefits.ce.alight.com/) )The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.Equal Opportunity Employer (EEO):HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

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Data Scientist Jobs in Spring, TX

Principal Data ScientistDecember 19, 2024

Data ScientistDecember 17, 2024

Data Scientist Center For Securing The HomelandDecember 11, 2024

Data Scientist Center For Securing The HomelandDecember 8, 2024

Data Scientist EngineerDecember 8, 2024

Lead Data ScientistDecember 7, 2024

Data Scientist EngineerDecember 2, 2024

Supply Chain Data ScientistNovember 30, 2024