Biostatistician jobs at HSS - 7 jobs

We seek motivated individuals to join the Market Development team. Our job is to lead projects that integrate new technologies into competitive electricity markets and help facilitate the region's clean energy transition. We work as a team, within the department, the company, and the region, to assess, design, and implement real-world changes to improve the electric grid and electricity markets. As a Market Data Scientist, your primary responsibilities will involve transforming complex data into actionable insights. You will contribute to cross-functional projects that enhance market design, test proposed rules, and guide stakeholder discussions. Your teammates come from a variety of backgrounds - economists, engineers, data scientists, writers, business professionals and more. Collectively, we assign projects and project roles base on each person's expertise, passions, and goals. Candidates from all backgrounds are encouraged to apply. What we offer you: Hybrid work environment (3 days/week onsite) Relocation assistance Competitive compensation with a base salary + performance bonus Robust benefits package, including: Enhanced 401(k) and financial planning support Tuition reimbursement and professional development Wellness programs, including an onsite gym Free coffee at our onsite café Flexible work hours Employee Business Networks A stable, mission-driven workplace where your impact truly matters How you will make an Impact Develop and maintain statistical and machine learning models to assess market outcomes, simulate policy changes, and forecast trends. Design ETL processes to extract and analyze very large datasets from the ISO's operational systems using SQL, Python, SAS, or R, with efficient post-processing workflows to support high-volume reporting and strategic analysis. Produce reports and dashboards that clearly communicate trends, anomalies, and insights to both technical and business stakeholders. Collaborate in cross-functional project teams focused on shaping market rules, implementation strategy, and stakeholder engagement. What we are looking for Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Math, Finance, or a related technical field. Proficiency in Python and either R or SAS. Proficiency with SQL. Strong understanding of core statistical concepts such as regression, probability, and hypothesis testing. Desired not required Experience working in energy, electricity markets, or large-scale policy-driven data environments. Knowledge of GAMS or other optimization modeling tools. Familiarity with version control (e.g., Git) and collaborative coding workflows. Prior exposure to data visualization or dashboard tools (e.g., Plotly, Dash, R Shiny). Experience with neural networks, deep learning frameworks, or experimentation methods. This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.). The expected salary range for this position is $82,000 - $113,000 per year. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks. #LI-HYBRID

Join the Clean Energy Revolution Become a Data Scientist/Predictive Analytics Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will work closely with internal clients, Subject Matter Experts, data engineers, process leads, project/program managers, and other teams to turn data into actionable insights that support informed business decisions. You will work in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by applying advanced analytics to solve business challenges and enhance business and customer experiences. Your tasks include analyzing large datasets, building predictive models, and generating insights that improve decision-making. You will collaborate with cross-functional teams, leveraging statistical methods, machine learning techniques, and advanced tools to address real-world problems. You will be accountable for partnering with OU clients to understand business needs, identify opportunities for improvement, and incorporate analytics solutions into business processes to ensure solutions deliver measurable business value and align with OU goals. Primary responsibilities will include: + Collaborate with team members and stakeholders to support solutions for data-driven business challenges. + Build and implement predictive and prescriptive models to improve decision-making. + Assist in identifying opportunities for AI, machine learning, and data science to address business needs. + Translate defined business objectives into actionable requirements for AI/ML models. + Contribute to the design and development of AI/ML models using established techniques and frameworks. + Apply machine learning algorithms and data mining methods to analyze datasets and generate insights. + Monitor model performance and support enhancements to maintain accuracy and reliability. + Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions. + Stay informed on emerging tools and techniques; share recommendations with the team. + Participate in team knowledge-sharing and professional development activities. + Ensure compliance with security and integrity standards when handling sensitive data and assets. As a Data Scientist/Predictive Analytics Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? **Responsibilities** + Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects + Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies + Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives + Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies + Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed + Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders + Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques + Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data + Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously + Keeps abreast of new and current data science and big data techniques + A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. **Minimum Qualifications** + Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. + One or more years of experience analyzing or manipulating complex data. Preferred Qualifications + Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline. + Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist). + Experience with cloud-based analytics platforms (e.g., AWS, Azure, GCP). + Proficiency in Python or R for machine learning and predictive modeling. + Familiarity with big data technologies such as Snowflake and Databricks. + Knowledge of AI/ML frameworks and libraries. + Strong understanding of data visualization tools (e.g., MS Platform Technologies, Power BI, Tableau). + Experience integrating predictive analytics into business processes for measurable impact. + Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation. + Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. Additional Information + This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. + Visit our Candidate Resource (************************************************************ page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! + Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. + The primary work location for this position is Irwindale, CA. + Relocation does not apply to this position. About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at **************.

We're looking for an intelligent, proactive, and results-driven Data Scientist to join our team in the Woodlands, TX. In this role, you'll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies. With minimal travel required, you'll focus on leveraging advanced analytics to optimize processes, improve decision-making, and deliver measurable value. If you're a go-getter with a passion for solving complex problems using cutting-edge tools, we want to hear from you! Key Responsibilities: * Data Analysis & Insights * Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement. * Provide actionable recommendations to optimize operational and financial performance. * Model Development & Deployment * Develop and deploy predictive models and machine learning algorithms to support business objectives. * Leverage advanced analytics platforms, such as Databricks, for scalable data processing. * Data Integration * Collaborate with IT and cross-functional teams to integrate data solutions into existing systems and workflows. * Reporting & Visualization * Design and maintain dashboards and reporting insights to stakeholders. * Data/AI strategy & roadmap * Identify and develop future AI use cases across the organization, driving innovation and helping shape the company's long-term Data Science and AI strategy * Stay current with industry trends and emerging technologies to continually enhance our data capabilities Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 3+ years of relevant industry work experience in Data Science * Significant relevant experience building and deploying Data Science solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation. * Deep technical and data science expertise, with demonstrated experience in one or more of the following areas: * Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization * Analytics tools: Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau) * Data management environments: Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue) * Experience building in-production models, including associated scripting, error handling and documentation * Proven ability to drive P&L impact through analytics * Exceptional problem-solving skills and a proactive, self-starter mindset. * Ability to communicate complex technical concepts to non-technical stakeholders. * Strong collaboration skills to work effectively with IT and other departments. * Bonus: Familiarity with Pigment or similar business planning tools. Why Join Us? At Waste Connections, you'll be part of a dynamic team that values innovation and excellence. This role offers the opportunity to make a real impact with minimal travel, allowing you to focus on what you do best-turning data into solutions. We offer competitive compensation, a supportive work environment, and the chance to grow with a leader in the industry. Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

These positions require a current TS/SCI clearance with polygraph. Opportunities available in multiple locations! Data Science opportunities abound! If you are a software developer/Computer Scientist - you could likely cross over to Data Science! Need a challenge in your work? Want to make a positive impact on U.S. National Security? We are building a team to handle some of the Intelligence Community's most serious challenges - come be a part of it! SecureTech Data Scientists make a difference every day in support of the nation's Intelligence Community by using Mathematical, Computational, Statistical foundations to devise strategies for revealing meaning and value from large data sets. Using analytic modeling, statistical analysis, programming, and/or another appropriate scientific methods, we develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of origination, cleanliness, and structure. We work every day to use data analytics and data science to further mission success! To get started in this exciting opportunity, you need a TS/SCI clearance with at least a CI polygraph. - At minimum, an Associate's degree in in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering). - At minimum, three (3) years of relevant experience - experience required is commensurate with the level of degree held. Relevant experience includes designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. - There are multiple opportunities for data scientists at various levels of experience - compensation is commensurate with qualifications (higher levels require higher degrees and additional experience). Why come to the SecureTech family? - We consider employees first in business decisions. It is hard enough to work through the personal/social/technical hurdles that come with your position as a cleared defense contractor - no need to fight your own employer's red tape as well. - We offer a compensation package that is more than just commensurate with this closed contractor community. We offer generous benefits (PTO, training support, etc) in addition to the generous salaries. We know that you know - salary isn't everything. - SecureTech is an Equal Opportunity Employer - we hire the right people for the job - regardless of employment status such as female, minority, protected veterans, individuals with disabilities, etc. Our concern is that you are qualified for the position, and that you are placed in a position in which you can be successful! Apply now! Multiple positions are awaiting your expertise! Resume to ********************

Join the Clean Energy Revolution Become a Data Scientist, Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll partner closely with business and operational teams across the enterprise to identify, design, and deliver data-driven solutions that improve safety, efficiency, reliability, and cost effectiveness. You will support a diverse portfolio of use cases by working across the full data science lifecycle from problem discovery and data exploration through model development and deployment. You will apply strong technical and analytical skills in a pragmatic environment, where success depends on both modeling expertise and the ability to translate business problems into actionable and production-ready solutions. In addition to delivering individual use cases, you will also play a key part in evolving data science infrastructure, enhancing data science capabilities, building tools, and establishing best practices. As a Data Scientist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? Responsibilities * Cooperates with various stakeholders across the organization to understand and define solutions for complex, data-intensive business problems requiring advanced analytics * Facilitates the development of predictive and prescriptive models using cutting-edge techniques to derive impactful insights and guide data-driven decision making * Identifies and implements new data collection sources and methods to build robust datasets for modeling * Leads data preparation and integration processes for large, varied datasets; ensures data quality and integrity * Drives selection and preparation of data tailored to specific business use cases and analytics projects * Leads development and enhancement of advanced analytical models using statistical, algorithmic, data mining and visualization techniques to uncover insights * Improves existing quantitative models leveraging latest analytical tools and techniques using novel AI/ML trends * Performs sophisticated analytics and translates outputs into understandable, actionable insights and recommendations for stakeholders * Researches industry trends and emerging tools, methods and models; provides insights on their potential business application and adoption * Continues developing data science relationships and participating in industry groups and events to stay current on techniques * A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. Minimum Qualifications * Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. * Five or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications * Experience designing and delivering production-grade data science or AI/ML solutions, including conventional machine learning and deep learning approaches such as computer vision and large language models, applied to real-world operational and business problems. * Experience leading the end-to-end model development lifecycle, including problem formulation, method selection, data exploration, feature engineering, model training and evaluation, and deployment of production-ready solutions. * Hands-on experience working with diverse data types and formats, including tabular and time-series data, imagery, video, LiDAR or other spatial data, and unstructured text or audio recordings. * Experience using cloud-based data and AI/ML platforms (e.g., GCP, Azure, AWS). * Ability to balance individual ownership with effective collaboration across cross-functional teams. * Demonstrated operational mindset, balancing technical rigor with practical constraints such as data quality, system dependencies, timelines, budget, and evolving business needs. * Strong client-facing and stakeholder engagement skills, with experience leading problem discovery discussions and translating complex business needs into well-scoped analytical and AI solutions. * Curiosity and ability to stay current with emerging data science and AI technologies, with a pragmatic approach to evaluating and adopting new methods and tools for development and production use in an operational environment. Additional Information * This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. * Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! * Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. * The primary work location for this position is Rosemead, CA. However, the successful candidate may also be asked to work for an extended amount of time at an alternate work location. * Position will require up to 30% traveling and being out in the field throughout the SCE service territory. * Relocation does not apply to this position. About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at **************.

Join the Clean Energy Revolution Become a Data Scientist, Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll partner closely with business and operational teams across the enterprise to identify, design, and deliver data-driven solutions that improve safety, efficiency, reliability, and cost effectiveness. You will support a diverse portfolio of use cases by working across the full data science lifecycle from problem discovery and data exploration through model development and deployment. You will apply strong technical and analytical skills in a pragmatic environment, where success depends on both modeling expertise and the ability to translate business problems into actionable and production-ready solutions. In addition to delivering individual use cases, you will also play a key part in evolving data science infrastructure, enhancing data science capabilities, building tools, and establishing best practices. As a Data Scientist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? **Responsibilities** + Cooperates with various stakeholders across the organization to understand and define solutions for complex, data-intensive business problems requiring advanced analytics + Facilitates the development of predictive and prescriptive models using cutting-edge techniques to derive impactful insights and guide data-driven decision making + Identifies and implements new data collection sources and methods to build robust datasets for modeling + Leads data preparation and integration processes for large, varied datasets; ensures data quality and integrity + Drives selection and preparation of data tailored to specific business use cases and analytics projects + Leads development and enhancement of advanced analytical models using statistical, algorithmic, data mining and visualization techniques to uncover insights + Improves existing quantitative models leveraging latest analytical tools and techniques using novel AI/ML trends + Performs sophisticated analytics and translates outputs into understandable, actionable insights and recommendations for stakeholders + Researches industry trends and emerging tools, methods and models; provides insights on their potential business application and adoption + Continues developing data science relationships and participating in industry groups and events to stay current on techniques + A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. **Minimum Qualifications** + Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. + Five or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications + Experience designing and delivering production-grade data science or AI/ML solutions, including conventional machine learning and deep learning approaches such as computer vision and large language models, applied to real-world operational and business problems. + Experience leading the end-to-end model development lifecycle, including problem formulation, method selection, data exploration, feature engineering, model training and evaluation, and deployment of production-ready solutions. + Hands-on experience working with diverse data types and formats, including tabular and time-series data, imagery, video, LiDAR or other spatial data, and unstructured text or audio recordings. + Experience using cloud-based data and AI/ML platforms (e.g., GCP, Azure, AWS). + Ability to balance individual ownership with effective collaboration across cross-functional teams. + Demonstrated operational mindset, balancing technical rigor with practical constraints such as data quality, system dependencies, timelines, budget, and evolving business needs. + Strong client-facing and stakeholder engagement skills, with experience leading problem discovery discussions and translating complex business needs into well-scoped analytical and AI solutions. + Curiosity and ability to stay current with emerging data science and AI technologies, with a pragmatic approach to evaluating and adopting new methods and tools for development and production use in an operational environment. Additional Information + This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. + Visit our Candidate Resource (************************************************************ page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! + Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. + The primary work location for this position is Rosemead, CA. However, the successful candidate may also be asked to work for an extended amount of time at an alternate work location. + Position will require up to 30% traveling and being out in the field throughout the SCE service territory. + Relocation does not apply to this position. About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at **************.