Data Scientist jobs at Concurrent Technologies

SGS Technologies, we are a software development and staffing company that doesn't simply talk services - we accomplish them. With two decades of experience, we use a combination of latest technological knowledge, future-driven ideas, and specialized skills for multiple forms of IT requirements. SGS has served numerous clients nationwide in various industries and we want you to be a part of that growth and opportunity! looking for a Principal Data Scientist (Gen AI) to work on a 12+ Months, Contract (potential Extension or may Convert to Full-time) = at Any One Location (St. Petersburg, FL 33716 / Denver, CO 80246) with a Direct Financial Client = only on W2 for US Citizen or Green Card Holders. Notes from the Hiring Manager: • This role requires a hybrid onsite schedule (2-3 days per week) at an Client's physical location, with St. Petersburg, FL or Denver, CO strongly preferred. Fully remote candidates will not be considered. • Senior-level, Data Science-focused position requiring 3+ years of recent, hands-on Data Science experience. • Strong proficiency in Python and SQL is essential. • The role leans more toward Generative AI than traditional Machine Learning within the Data Science space. • Opportunity for extension based on performance, with potential to convert to full-time for the right candidate. Summary: The Lead Data Scientist supports development of advanced decision support systems by employing advanced techniques from data analytics (including statistical analysis) and machine learning, particularly including NLP. The successful candidate will join an innovative and energetic team that develops capabilities that improve the performance of our business units and make them more efficient. This is a hands-on role in which the Data Scientist is expected to carry out a project from start to finish. Skills: · Excellent communication skills, with the ability to explain technical concepts to a non-technical audience · Strong knowledge of Machine Learning techniques, including NLP but the focus is more on the GEN Ai side than ML side · Knowledge of statistics, including hypothesis testing · Strong Python skills · Proficient in SQL · Comfortable with Unix scripting · Experience building models that actually delivered value to a business · Experience deploying systems to a production environment · Experience working in an Agile environment · Working knowledge of “big data” technology Education: · Minimum of a Bachelor's degree and six (6) years of relevant experience or combination of education, training and experience.

We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission. Required Qualifications Active TS/SCI clearance with the willingness to obtain a CI polygraph Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited) Proficiency with Python and SQL Preferred Qualifications Familiarity with GEOINT collection and related NGA/NRO systems Experience with additional programming languages such as R, JavaScript, HTML, and CSS Understanding of object-oriented programming Experience using visualization tools such as Grafana, Tableau, or Kibana Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies

We need HANDS ON engineering leaders, not architects. MUST BE VERY SEASONED DATA SCIENCE ENGINEERS WHO IS WILLING TO DO A SHORT ONLINE TEST Can sit in Hudson Yards or Bethlehem, PA 2-3 days onsite Hybrid role - candidates must be able to work onsite in Hudson Yards, NY or Bethlehem, PA I will not entertain out of state candidates. We're looking for a very Senior Data Scientist - Agentic AI with strong hands-on experience in AI/ML, LLMs, and intelligent automation. This role will focus on building, deploying, and scaling Agentic AI systems and enterprise-level generative AI solutions that transform business operations and customer experiences. You'll work on high-visibility projects alongside senior leadership, translating cutting-edge AI research into real-world impact. Key Responsibilities: Design and deploy Agentic AI solutions to automate complex workflows. Operationalize LLMs and generative AI to process unstructured data (contracts, claims, medical records, etc.). Build autonomous agents and reasoning systems integrated into enterprise platforms. Partner with engineering and AIOps teams to move models from prototype to production. Translate research in reinforcement learning and reasoning into business-ready AI applications. Mentor junior data scientists and establish best practices for scalable AI development. What We're Looking For: PhD (2+ yrs) or Master's (10+ yrs) in Statistics, Computer Science, Engineering, or Applied Mathematics. 5+ years of hands-on AI/ML development experience. Strong programming skills in Python, PyTorch, TensorFlow, LangGraph. Proven background in machine learning, optimization, and statistical modeling. Excellent communication, leadership, and cross-functional collaboration skills.

Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Key Responsibilities 1. Design and Build Data Solutions Architect and implement modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB. Develop and maintain data pipelines for ingestion, transformation, and storage. Design data models and schemas to support business intelligence and advanced analytics. 2. Data Governance and Compliance Implement data security, privacy, and compliance measures. Establish governance frameworks for data quality and lifecycle management. 3. Collaboration and Leadership Partner with business stakeholders, data scientists, and engineering teams to align architecture with business objectives. Provide technical leadership, mentoring, and enforce best practices for data engineering teams. 4. Performance and Optimization Monitor system performance and troubleshoot issues. Optimize architecture for cost efficiency, scalability, and high availability. 5. Innovation and Enablement Stay updated on emerging Azure technologies and industry trends. Conduct workshops and enablement sessions to drive adoption of Azure data solutions. Required Skills and Experience Technical Expertise Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI. Hands-on experience with data modeling, ETL design, and data warehousing. Knowledge of SQL, NoSQL, PySpark, and BI tools. Architecture and Strategy 7+ years in data architecture roles; 3+ years with Azure data solutions. Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools. Preferred Qualifications Experience in regulated industries (e.g., Financial Services). Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures. Education & Certifications Bachelor's or Master's degree in Computer Science, Information Systems, or related fields. Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable.

Data Architecture & Modeling Design and maintain enterprise-level logical, conceptual, and physical data models. Define data standards, naming conventions, metadata structures, and modeling best practices. Ensure scalability, performance, and alignment of data models with business requirements. Data Governance & Quality Implement and enforce data governance principles and policies. Define data ownership, stewardship, data lineage, and lifecycle management. Lead initiatives to improve data quality, consistency, and compliance. Enterprise Data Management Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks. Define and oversee the enterprise data architecture blueprint. Ensure alignment between business vision and data technology roadmaps.

Immediate need for a talented Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93504 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services. Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets. Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning. Develop backend and automation tools using Golang and/or Python as needed. Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch. Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges. Perform root-cause analysis and implement automation to prevent recurring issues. Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access. Ensure compliance with enterprise governance, data quality, and cloud security standards. Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality. Key Requirements and Technology Experience: Skills-Data Engineer- Python , Spark/PySpark, AWS, Golang, Able to write complex SQL queries against Snowflake tables / Troubleshoot issues, Java/Python, AWS (Glue, EC2, Lambda). Proficiency in Python with experience building scalable data pipelines or ETL processes. Strong hands-on experience with Spark/PySpark for distributed data processing. Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning. Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM). Experience with Golang for scripting, backend services, or performance-critical processes. Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems. Familiarity with CI/CD workflows, Git, and automated testing. Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Purpose: As a Cloud Data Architect, you'll be at the forefront of innovation - guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won't just architect solutions -you'll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You'll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations. Key Result Areas and Activities: Architect and deliver scalable, cloud-native data solutions across various industries. Lead data strategy workshops and AI/ML readiness assessments. Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog). Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake. Engage with stakeholders to define and align future-state data strategies with business outcomes. Mentor and lead data engineering and architecture teams. Drive innovation and thought leadership across client engagements and internal practice areas. Promote FinOps practices, ensuring cost optimization within multi-cloud deployments. Support client relationship management and engagement expansion through consulting excellence. Roles & Responsibilities Essential Skills: 10+ years of experience designing and delivering scalable data architecture and solutions. 5+ years in consulting, with demonstrated client-facing leadership. Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow. Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake). Proficiency in Spark and Python for data engineering and processing tasks. Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA. Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence. Excellent communication skills with proven ability to consult and influence executive stakeholders. Desirable Skills Recognized thought leadership in emerging data and AI technologies. Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization. Familiarity with data governance and data quality best practices at the enterprise level. Knowledge of DevOps and MLOps pipelines in cloud environments. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related fields. Professional certifications in Databricks, AWS, Azure, or Snowflake preferred. TOGAF, DAMA, or other architecture framework certifications are a plus. Qualities: Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Purpose: We are seeking a highly skilled Cloud Data Engineer with deep expertise in Databricks and modern cloud platforms such as AWS, Azure, or GCP. This role is ideal for professionals who are passionate about building next-generation data platforms, optimizing complex data workflows, and enabling advanced analytics and AI in cloud-native environments. You'll have the opportunity to work with Fortune-500 organizations in data and analytics, helping them unlock the full potential of their data through innovative, scalable solutions. Key Result Areas and Activities: Design and implement robust, scalable data engineering solutions. Build and optimize data pipelines using Databricks, including serverless capabilities, Unity Catalog, and Mosaic AI. Collaborate with analytics and AI teams to enable real-time and batch data workflows. Support and improve cloud-native data platforms (AWS, Azure, GCP). Ensure adherence to best practices in data modeling, warehousing, and governance. Contribute to automation of data workflows using CI/CD, DevOps, or DataOps practices. Implement and maintain workflow orchestration tools like Apache Airflow and dbt. Roles & Responsibilities Essential Skills 4+ years of experience in data engineering with a focus on scalable solutions. Strong hands-on experience with Databricks in a cloud environment. Proficiency in Spark and Python for data processing. Solid understanding of data modeling, data warehousing, and architecture principles. Experience working with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and data workflow automation. Desirable Skills Direct experience with Unity Catalog and Mosaic AI within Databricks. Working knowledge of DevOps/DataOps principles in a data engineering context. Exposure to Apache Airflow, dbt, and modern data orchestration frameworks. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in cloud platforms (AWS/Azure/GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Senior SAS Developer- W2 Fully Onsite at Pisttsburgh, PA Long Term Contract W2 Applicable We are seeking a skilled SAS Programmer / Data Analyst to support the migration and manipulation of Oracle data through explicit and implicit SQL pass-throughs, create SAS macros for data validation, and generate reports according to business requirements. The ideal candidate will have experience in ETL processes, creating data quality reports, and benchmarking SAS systems, particularly around SAS exports. This role will also involve creating and documenting test cases for SAS programs and ensuring efficient data handling within the system. Key Responsibilities: SQL & Data Manipulation: Write implicit and explicit SQL pass-through queries to access and manipulate Oracle data. Involved in the migration of data from one system to another, ensuring data integrity and validating migration success. SAS Programming & Macros: Create SAS macros to check variable values across multiple Oracle datasets. Develop ETL processes to create SQL statements and export data in the form of text files for business users. Reporting & Data Quality: Generate reports based on business requirements, with a particular focus on the data quality of records. Provide insights into data quality and completeness, making recommendations for improvements where necessary. Testing & Documentation: Document SAS programs and write test cases to validate functionality. Ensure the integrity of programs by performing rigorous testing and validation. System Benchmarking: Benchmark the current SAS system, particularly focusing on SAS exports to understand and troubleshoot issues related to hardware limitations and when programs may fail. Required Qualifications: Experience: Proven experience with SAS programming, including the use of SAS macros and SQL pass-through for data manipulation. Hands-on experience with Oracle databases and data migration processes. Strong background in ETL development and creating reports that focus on data quality. Skills: Proficiency in SQL, particularly with Oracle databases. Experience writing test cases and creating detailed documentation for SAS programs. Strong problem-solving skills, particularly in benchmarking and optimizing SAS exports. Technical Knowledge: Strong knowledge of data validation techniques, especially when working with large datasets. Understanding of system performance, with a focus on hardware limitations and how they impact SAS performance. Preferred Qualifications: Familiarity with other data manipulation and reporting tools such as Python or R. Experience in data migration projects within large enterprise systems. Certifications: Preferred: SAS certifications (e.g., SAS Base Programming). Relevant certifications in data management, ETL, or database management.

SAS Developer Basic Requirements: 5+ plus years of overall experience in design and development of applications. requires knowledge of Base SAS, SAS Macros, Proc SQL, SAS/STAT, SAS/SQL, etc. Working experience with mathematics, statistics, quantitative SAS functions, SAS Macros Proficiency with Linux/Unix shell scripting Solid analytical and problem-solving skills Ability to work independently and with a team Ability to build and maintain SAS Data Integration Studio jobs, manage job flows within the Platform Load Sharing Facility, and troubleshoot job failures. Experience importing, transforming, merging, and cleaning data, including running quality checks Familiarity with Agile development frameworks and development of productions systems including proficiency with using JIRA

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1$219,300-$296,700 USDUS Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Data Scientist, you will be responsible for algorithm and methodology development for an innovative company using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results for our customers, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Build, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 3-6 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $120,000-$145,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist III will be responsible for leading advanced analytics and data science initiatives in support of the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on strategic data enablement across the Navy Information Warfare enterprise. Responsibilities This position provides oversight and direction for the implementation of data strategies, frameworks, and predictive analytics. The candidate will align data solutions with mission goals, lead cross-functional teams, and guide the adoption of enterprise-wide data governance, visualization, and analysis tools. This position is a hybrid role based in Suffolk, VA, with limited travel anticipated. Responsibilities Lead the strategic development and execution of data science and analytics initiatives supporting NAVIFOR's Command Data Office (CDO) Oversee the implementation of the NAVIFOR CDO Data and Analytics Capability Maturity Implementation Plan (I-Plan) Apply advanced data science techniques including machine learning, AI, and statistical modeling to develop mission-aligned insights Coordinate enterprise data governance and strategy across diverse stakeholder groups Provide subject matter expertise in designing and optimizing Extract, Transform, Load (ETL) pipelines and data architecture Supervise and mentor junior data scientists, analysts, and engineers in best practices and methodologies Develop performance metrics, dashboards, and process improvement strategies using NPIER/DMAIC Author and present detailed white papers, briefs, and reports to Flag/SES-level stakeholders Qualifications Education: Master's degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum of 7 years of demonstrated experience in data strategy, data science, governance, and advanced analytics, preferably supporting DoD or Navy enterprise environments Clearance: Active Secret Clearance required Technical Skills: Expertise in statistical analysis, AI/ML frameworks, and advanced analytics tools Familiarity with data governance, Navy data strategies, and enterprise analytics Experience with Navy cloud platforms, data engineering tools, and collaboration tools such as Power BI, Jupyter, Confluence, and Jama The candidate must: Be capable of performing effectively individually and as part of a team Have effective critical thinking and problem-solving skills Be self-motivated and able to successfully deliver with minimal supervision Be proficient in Microsoft Office Suite Pay Range Base pay is $135,000-$145,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist II will be responsible for the design, development, and implementation of data-driven tools and technologies supporting the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on delivering actionable insights across the Information Warfare enterprise. Responsibilities This position supports strategic data engineering and analytics across NAVIFOR's enterprise environment, contributing to Navy data strategy implementation. The candidate will support data pipeline design, analytics tool development, and the integration of insights into mission workflows. This is a hybrid position based in Suffolk, VA, with limited travel anticipated. Responsibilities: Support system design and implementation of analytics tools for NAVIFOR's Command Data Office (CDO) Develop and maintain advanced data systems, platforms, and services in support of NAVIFOR's data strategy Assist in the integration of Navy data systems into cloud platforms and enterprise-wide analytics environments Apply statistical techniques and machine learning to support descriptive, diagnostic, and predictive analytics Build and manage tools for data transformation, visualization, and pipeline automation Support DON/DOD enterprise cloud integration and NAVIFOR performance measurement initiatives Translate user needs into requirements for dashboarding, analytic reports, and model development Collaborate across the IW domain to capture, structure, and analyze large-scale data from multiple Navy sources Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 5 years of experience developing software and databases using modern analytics frameworks and tools Clearance: Active Secret Clearance required Technical Skills: Proficiency in Python, R, SQL, and data visualization platforms (e.g., Power BI, Tableau) Familiarity with Navy data platforms, workflows, and enterprise analytics environments Experience with tools such as Jupyter, Jama Connect, Confluence, or similar collaboration environments The candidate must be: Capable of performing effectively individually and as part of a team Have critical thinking and problem-solving skills Self-motivated and able to successfully deliver with minimal supervision Proficient in Microsoft Office Suite Pay Range Base pay is $120,000-$130,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck!

Job Description Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck! Powered by JazzHR HZu2Z1tG6N