Data Scientist jobs at MindPoint Group

Since 2006, CoStrategix has defined and implemented digital transformation initiatives, data and analytics capabilities, and digital commerce solutions for Fortune 500 and mid-market customers. CoStrategix provides thought leadership, strategy, and comprehensive end-to-end technology execution to help organizations transform and stay competitive in today's digital world. As a Gixer (employee) at CoStrategix, you will have broad exposure to diverse industries and technologies. You will work on leading-edge digital projects in areas of Data Engineering, Data Governance, Data Strategy, AI, Cloud,. Gixers operate at the leading edge of technologies, and our projects require compelling human interfaces and modern data platforms. This role is based at our culture hub in Blue Ash, Ohio. About this role: As a Data Architect at CoStrategix, you will define, orchestrate, and implement modern data platforms and architectures. This role is about understanding the current state of data ecosystems, mapping existing data flows and structures, creating an architectural blueprint, and then implementing data strategies and governance frameworks in rapid cycles. In this role, you will provide the following: Strategic & Consultative Responsibilities Act as a trusted data advisor to client stakeholders, clearly communicating trade-offs, guiding decision-making, and influencing the adoption of modern data practices. Lead stakeholder interviews and working sessions to elicit requirements, clarify use cases, and align on priorities, scope, and success metrics. Create phased data roadmaps with clear milestones, dependencies, and value outcomes (e.g., time-to-insight, cost reduction, risk reduction) and track progress against them. Provide architectural input into scoping and pricing of data engagements; ensure solutions balance value, risk, and cost, and support delivery teams in staying aligned to scope and architectural guardrails. Work closely with sales and account teams to understand customer objectives and translate them into practical, scalable data architecture and solution designs. Participate in pre-sales engagements, discovery workshops, proposal development, client presentations, and proof-of-concept activities to showcase solution feasibility and value. Data Governance, Quality & Operating Model Bring consultative competencies around data governance and data quality, helping clients define guiding principles, policies, and operating models. Lead development of comprehensive data strategies for clients that align with their business priorities. Design processes for metadata management, lineage tracking, and master data management (MDM), including stewardship roles and workflows. Establish and maintain data quality standards, metrics, and monitoring processes to ensure accurate, complete, and timely data across critical domains. Develop semantic models and curated datasets, guide adoption of data cataloging and data literacy programs. Enterprise & Solution Architecture Design and maintain conceptual, logical, and physical data architectures to support enterprise, analytical, and operational systems. Assess and recommend data platforms, cloud services, and emerging technologies to meet business needs, while collaborating with Cloud, DevOps, and Security Architects to ensure architectural alignment. Partner with Data Analysts, BI Developers, and Data Scientists to ensure data architectures enable analytics, visualization, and AI/ML initiatives. Define non-functional requirements (performance, scalability, resilience, cost, security, and compliance) for data solutions, and ensure they are addressed in the architecture and design. Maintain architecture decision records, reference architectures, and reusable patterns; define and promote standards and best practices for data modeling, integration, and consumption across teams. Implementation, Delivery & Enablement Lead the implementation of scalable, secure, and high-performing data and transformation frameworks that unify data across platforms and enable real-time, batch, and event-driven use cases. Define and enforce data design standards, patterns, and best practices during implementation to ensure consistency, maintainability, and performance. Mentor and coach engineering and analytics teams in data design principles, governance frameworks, and architectural discipline to ensure consistency and quality in delivery. Qualifications: Bachelor's Degree in Math, Statistics, Computer Science, Information Technology, or a related field 8+ years of experience in data management and architecture roles 3 to 5 years of leading data strategy, governance, or modernization efforts 3 to 5 years of pre-sales, client solutioning, and/or consulting engagement in Data Management Experience designing and implementing modern data architectures Current understanding of best practices regarding data security, governance, and regulatory compliance Experience in data modeling, data engineering, and analytics platform architecture Experience with data engineering tooling such as Databricks, Snowflake, Synapse, BigQuery, Kafka, and dbt Experience with software development, DevOps best practices, and automation methodologies Excellent leadership and negotiation skills are necessary to work effectively with colleagues at various levels of the organization and across multiple locations Communicate complex issues crisply and concisely to various levels of management Coaching and mentoring skills - ability to adapt to all levels of the organization Strong collaboration skills and excellent verbal and written communication skills About CoStrategix We make CoStrategix an awesome place to work, offering a total rewards package that includes comprehensive benefits starting on day one. Benefits include medical, dental, vision, disability, and life insurance, as well as an EAP and 401(k) retirement plan. We are a flexible hybrid workplace committed to a culture of curiosity, collaboration, learning, self-improvement, and, above all, fun. We have been named a finalist for the Cincinnati Business Courier's Best Places to Work Awards for 4 consecutive years. Do the Right Thing. Always. At CoStrategix, we are passionate about our core values. Diversity, equity & inclusion (DE&I) are part of our core values Every Gixer (employee) has an opportunity for success regardless of their 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. Creating an environment where everyone, from any background, can do their best work is the right thing to do.

Data Engineer III About the Role We're looking for a Data Engineer III to play a key role in a large-scale data migration initiative within Client's commercial lending, underwriting, and reporting areas. This is a hands-on engineering role that blends technical depth with business analysis, focused on transforming legacy data systems into modern, scalable pipelines. What You'll Do Analyze legacy SQL, DataStage, and SAS code to extract business logic and identify key data dependencies. Document current data usage and evaluate the downstream impact of migrations. Design, build, and maintain data pipelines and management systems to support modernization goals. Collaborate with business and technology teams to translate requirements into technical solutions. Improve data quality, reliability, and performance across multiple environments. Develop backend solutions using Python, Java, or J2EE, and integrate with tools like DataStage and dbt. What You Bring 5+ years of experience with relational and non-relational databases (SQL, Snowflake, DB2, MongoDB). Strong background in legacy system analysis (SQL, DataStage, SAS). Experience with Python or Java for backend development. Proven ability to build and maintain ETL pipelines and automate data processes. Exposure to AWS, Azure, or GCP. Excellent communication and stakeholder engagement skills. Financial domain experience-especially commercial lending or regulatory reporting-is a big plus. Familiarity with Agile methodologies preferred.

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

Simulation Developer -Data Scientist (Simulation & Modeling) About the Role We are seeking a highly skilled and motivated Data Scientist with expertise in simulation modeling, probability theory, and Python programming. This role focuses on designing and deploying simulation frameworks to evaluate and optimize enterprise solutions. Ideal candidates will have experience in inventory models, stochastic processes, and building scalable simulation systems. Key Responsibilities Design, develop, and deploy simulation models for inventory and operational systems using Python, SQL, and PySpark on platforms like Databricks. Apply probability theory and Monte Carlo methods to model uncertainty and variability. Collaborate with Data Engineers and Data Scientists to define simulation inputs and integrate pipelines. Implement CI/CD principles and manage code repositories using GitHub Enterprise. Validate and calibrate simulation models using historical data and sensitivity analysis. Ensure code quality, scalability, and maintainability in production environments. Required Qualifications Hands-on experience with simulation modeling and inventory systems. Proficiency in Python, SQL, and PySpark. Strong understanding of probability theory, stochastic modeling, and Monte Carlo simulation. Experience with Databricks or similar enterprise cloud environments. Familiarity with CI/CD principles and GitHub Enterprise. Self-starter with an ownership mindset and ability to work independently. Preferred Qualifications Experience in retail, supply chain, or operations research. Familiarity with cloud platforms (Azure, AWS, GCP).

If you seek a rewarding, high profile and challenging position supporting projects for the US Navy, Serco has a great opportunity for you! This position will be on a dynamic team, supporting Direct Reporting Program Manager for the Maritime Industrial Base (DRPM MIB). Bring your expertise and collaborative skills to make an impact on our military defense and safety of our sailors. **This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance.** **This is a Hybrid opportunity in the National Capital Regiona/Washington, DC.** The acquisition of **COLUMBIA Class Submarines** and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the class. The program is a major defense acquisition program and is of significant political importance with Congress and the Office of the Secretary of War. The acquisition of **VIRGINIA Class Submarines** and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E), Live Fire Test and Evaluation (LFT&E), and Fleet introduction of the U.S. Navy's newest class of nuclear attack submarines. The program is a major defense acquisition program with a total life cycle cost of approximately $336B. Additionally, successful improvement of the Class' capabilities is of significant political importance with Congress and the Office of the Secretary of War. The **SSN(X) Office** is responsible for the acquisition and design of the future fast attack submarine and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the future submarine. The future Attack Submarine will be designed to retain multi-mission capability and sustained combat presence in denied waters with a focus on greater speed, stealth, and horizontal payloads and salvo rates. Serco supports the US Navy as a prime for DRPM MIB contract supporting the acquisition of submarines and surface vessels. The DRPM MIB concept unifies once diverse submarine and surface vessel-related activities into a single organization with the goal of eliminating traditional stovepipe structures and processes that created impediments and inefficiencies in the research, development, acquisition, and maintenance communities. DRPM MIB provides improved communication among the various offices that contribute to the overall success of the Navy's submarine and surface type commanders. ****************************************************** **_Serco-NA is seeking a motivated individual to provide help to the Maritime Industrial Base (MIB) Data Team as a Data Scientist._** Our Data Team manages a dynamic mix of in-house development teams and third party tool integration projects to deliver solutions that support the MIB program. We are a new and growing organization looking to implement processes that will grow with us and our customers' evolving demands. We are seeking an **experienced Data Scientist** to join our team supporting a program focused on delivering Supply Chain Risk Management (SCRM) solutions to our customers. The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains.. You will partner closely with Product Owners, the Data Director, and other stakeholders to maintain delivery cadence, transparency, and accountability. A majority of the team is in Washington DC, but remote work is available with periodic travel to DC. Working hours are centered around Washington DC hours. As you may be partially remote, you must be a self-motivated person who can interface with leadership; identify issues with little guidance; develop and articulate a business plan; work with other companies to create statements of work with deliverables; take charge and drive your plan to success; and achieve actionable results that provide a return on investment. If your desire is to make a difference in the construction and sustainment of the US Navy, this position is ideal. This position may be filled remotely/hybrid as you work out of your home or _travel to engage with stakeholders_ . In this role, you will: + Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks. + Apply statistical methods, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks. + Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow). + Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.). + Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders. + Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions. + Present findings through reports, dashboards, and briefings to both technical and non-technical audiences. + Report progress and metrics to the Data Director and other senior stakeholders. + Provide program, analytical, and acquisition management support to senior level MIB executives as required. + Demonstrate strong problem-solving skills and the ability to communicate technical insights clearly + Work with the MIB team, which is spread across the United States focused on workforce development/marketing, supply chain/sustainment, and technology developments. + Assist in drafting information papers in response to Congressional inquiries. + Provide input to Report to Congress regarding MIB spend goals and associated return on investment. + Travel as required to carry out the duties above. **Qualifications** To be successful in this role, you will have: + This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. + Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field plus 5 years of hands-on experience in data science, analytics, or applied machine learning. + OR a Master's degree and 3 years of hands-on experience in data science, analytics, or applied machine learning. + 1 year of hands-on experience in data science, analytics and artificial intelligence/applied machine learning (AI/ML) is required. + Strong proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow) is required. + Experience querying, manipulating, and analyzing structured and unstructured data from databases (SQL and/or NoSQL) is required. + Experience developing and implementing data science solutions to analyze large and complex datasets. + Demonstrated experience presenting findings through reports, dashboards, and briefings to both technical and non-technical audiences. + Experience with databases (SQL and/or NoSQL) for querying and analysis. + Strong problem-solving skills and the ability to communicate technical insights clearly. + Background or coursework in Supply Chain Management, Logistics, or Risk Analysis is preferred + Experience with big data tools (Hadoop, Spark, Hive, etc.) is preferred + Familiarity with government contracting or defense-related projects is preferred. + Experience developing in Cloudera Data Science Workbench (CDSW) is preferred. + Industrial Base/Supply Chain/Workforce knowledge is preferred. + Experience/knowledge of the maritime industrial base is a plus, although not necessary. + An outstanding communication skills, both written and oral. You will be interacting with industry and senior leadership. + Customer-oriented team player focused on mission who is self-motivated, driven and can work independently and remotely. + To be able to travel 10%. If you are interested in supporting and working with our military and sailors and a passionate Serco team - then submit your application now for immediate consideration. It only takes a few minutes and could change your career! **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: *********************************************************** .If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice (**************************************** . Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of the posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits HIGHLIGHTS - Comprehensible Benefits for Full-time Employees (Part-time members receive a customized package tailored to their role). + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan that includes counseling conditions + Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act. To review all Serco benefits please visit: ***************************************** . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. This is a U.S.-based role. If an applicant has any concerns with job posting compliance, please send an email to: ******************** . Click here to apply now (******************************************************************************************************************************************************************** **New to Serco?** Join our Talent Community! (*************************************************** **ID** _72053_ **Recruiting Location : Location** _US-DC-_ **Category** _Information Technology_ **Position Type** _Full-Time_ **Security Clearance** _Other_ **Clearance Details** _This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance._ **Telework** _Yes - May Consider Occasional/Part Time Teleworking for this position_ **Salary Range/Amount** _$97787.00 - $162979.00_

If you seek a rewarding, high profile and challenging position supporting projects for the US Navy, Serco has a great opportunity for you! This position will be on a dynamic team, supporting Direct Reporting Program Manager for the Maritime Industrial Base (DRPM MIB). Bring your expertise and collaborative skills to make an impact on our military defense and safety of our sailors. This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. This is a Hybrid opportunity in the National Capital Regiona/Washington, DC. The acquisition of COLUMBIA Class Submarines and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the class. The program is a major defense acquisition program and is of significant political importance with Congress and the Office of the Secretary of War. The acquisition of VIRGINIA Class Submarines and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E), Live Fire Test and Evaluation (LFT&E), and Fleet introduction of the U.S. Navy's newest class of nuclear attack submarines. The program is a major defense acquisition program with a total life cycle cost of approximately $336B. Additionally, successful improvement of the Class' capabilities is of significant political importance with Congress and the Office of the Secretary of War. The SSN(X) Office is responsible for the acquisition and design of the future fast attack submarine and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the future submarine. The future Attack Submarine will be designed to retain multi-mission capability and sustained combat presence in denied waters with a focus on greater speed, stealth, and horizontal payloads and salvo rates. Serco supports the US Navy as a prime for DRPM MIB contract supporting the acquisition of submarines and surface vessels. The DRPM MIB concept unifies once diverse submarine and surface vessel-related activities into a single organization with the goal of eliminating traditional stovepipe structures and processes that created impediments and inefficiencies in the research, development, acquisition, and maintenance communities. DRPM MIB provides improved communication among the various offices that contribute to the overall success of the Navy's submarine and surface type commanders. ****************************************************** Serco-NA is seeking a motivated individual to provide help to the Maritime Industrial Base (MIB) Data Team as a Data Scientist. Our Data Team manages a dynamic mix of in-house development teams and third party tool integration projects to deliver solutions that support the MIB program. We are a new and growing organization looking to implement processes that will grow with us and our customers' evolving demands. We are seeking an experienced Data Scientist to join our team supporting a program focused on delivering Supply Chain Risk Management (SCRM) solutions to our customers. The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains.. You will partner closely with Product Owners, the Data Director, and other stakeholders to maintain delivery cadence, transparency, and accountability. A majority of the team is in Washington DC, but remote work is available with periodic travel to DC. Working hours are centered around Washington DC hours. As you may be partially remote, you must be a self-motivated person who can interface with leadership; identify issues with little guidance; develop and articulate a business plan; work with other companies to create statements of work with deliverables; take charge and drive your plan to success; and achieve actionable results that provide a return on investment. If your desire is to make a difference in the construction and sustainment of the US Navy, this position is ideal. This position may be filled remotely/hybrid as you work out of your home or travel to engage with stakeholders . In this role, you will: Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks. Apply statistical methods, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks. Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow). Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.). Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders. Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions. Present findings through reports, dashboards, and briefings to both technical and non-technical audiences. Report progress and metrics to the Data Director and other senior stakeholders. Provide program, analytical, and acquisition management support to senior level MIB executives as required. Demonstrate strong problem-solving skills and the ability to communicate technical insights clearly Work with the MIB team, which is spread across the United States focused on workforce development/marketing, supply chain/sustainment, and technology developments. Assist in drafting information papers in response to Congressional inquiries. Provide input to Report to Congress regarding MIB spend goals and associated return on investment. Travel as required to carry out the duties above. Qualifications To be successful in this role, you will have: This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field plus 5 years of hands-on experience in data science, analytics, or applied machine learning. OR a Master's degree and 3 years of hands-on experience in data science, analytics, or applied machine learning. 1 year of hands-on experience in data science, analytics and artificial intelligence/applied machine learning (AI/ML) is required. Strong proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow) is required. Experience querying, manipulating, and analyzing structured and unstructured data from databases (SQL and/or NoSQL) is required. Experience developing and implementing data science solutions to analyze large and complex datasets. Demonstrated experience presenting findings through reports, dashboards, and briefings to both technical and non-technical audiences. Experience with databases (SQL and/or NoSQL) for querying and analysis. Strong problem-solving skills and the ability to communicate technical insights clearly. Background or coursework in Supply Chain Management, Logistics, or Risk Analysis is preferred Experience with big data tools (Hadoop, Spark, Hive, etc.) is preferred Familiarity with government contracting or defense-related projects is preferred. Experience developing in Cloudera Data Science Workbench (CDSW) is preferred. Industrial Base/Supply Chain/Workforce knowledge is preferred. Experience/knowledge of the maritime industrial base is a plus, although not necessary. An outstanding communication skills, both written and oral. You will be interacting with industry and senior leadership. Customer-oriented team player focused on mission who is self-motivated, driven and can work independently and remotely. To be able to travel 10%. If you are interested in supporting and working with our military and sailors and a passionate Serco team - then submit your application now for immediate consideration. It only takes a few minutes and could change your career! Company Overview Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************************ If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email *********************. Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Pay Transparency Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of the posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits HIGHLIGHTS - Comprehensible Benefits for Full-time Employees (Part-time members receive a customized package tailored to their role). Medical, dental, and vision insurance Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract 401(k) plan that includes employer matching funds Tuition reimbursement program Life insurance and disability coverage Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Employee Assistance Plan that includes counseling conditions Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act. To review all Serco benefits please visit: ****************************************** Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. This is a U.S.-based role. If an applicant has any concerns with job posting compliance, please send an email to: ********************.

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. We are seeking an experienced Backend & Rules Engineer to design and implement high-performance microservices for scoring, arbitration, rules evaluation, and real-time decision APIs. This role will develop clean, production-grade code, integrate machine learning outputs, and rule engines, and optimize systems for low latency and high throughput. Additionally, the engineer will implement eligibility logic, business constraints, suppression rules, and metadata-driven rules using JSON/DSL formats. Required Qualification 8+ years of experience in translating business policies into deterministic runtime logic 5+ years of experience in building unit and scenario tests to validate rule correctness and safety 5+ years of experience in contributing to observability and debugging tooling across the decision engine. About NTT DATA Services: NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($70.00-$80.00/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits. \#LI-NorthAmerica

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. 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 6+ 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 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$168,300-$227,700 USDUS Zone 3$149,600-$202,400 USD

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

ECS is seeking a Data Scientist to work remote. Please Note: This position is contingent upon additional funding. ECS is seeking a passionate and driven Data Scientist to support DHS' Data Services Branch, under the Office of the Chief Information Officer. DSB provides innovative and complex data analytics services and platforms to users. As a Data Scientist, you will be driven by an interest in solving complex business and immigration problems through data exploration and analysis. Candidates must be passionate about using rich and unique data sets to directly affect immigration policy and decisions at the highest level. You must be highly analytically minded, have a robust technical tool kit, and experience with designing data analytic and visual strategies including solution architecture. The Data Scientist will be responsible for designing strategy to consistently unify, curate, and secure data, as well as, test, implement, and evaluate code and strategy. They will work with federal stakeholders to support the development of processes and technologies that solve immigration problems. The Data Scientist should be an expert in statistics and mathematical methods to solve these problems. The models they support will drive innovative solutions that bring value and direction to DHS situations. Candidates will be able to thoroughly define and test a problem statement that ensures data and analytics quality, traceability, and ease to scale program. The ideal candidate will be a self-starter who is comfortable working in a highly visible, client-facing role and will have experience with entity resolution, data cleaning, and various methods for identifying/merging duplicate or related records across disparate sources. Responsibilities: * Designing, implementing, and optimizing advanced matching and linking algorithms to assign IDs to large, processed datasets. * Testing and evaluating matching models using various techniques (statistical, machine learning). * Collaborate with stakeholders to understand business requirements and translate them into data science solutions. * Document methodologies, models, and decisions to support reproducibility and knowledge transfer to federal stakeholders. * Ad hoc data engineering support tasks as required. Salary Range: $130,000-$140,000 General Description of Benefits * US citizenship and ability to obtain a Public Trust Clearance * Bachelor's Degree in an IT discipline * 7+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures. * Quantitative analysis including experience with SQL or statistical/mathematical software (e.g., R, SAS, Stata). * Strong Python skills. * Strong understanding of entity resolution techniques. * Experience with conceptualization and implementation of statistical and machine learning models (multivariate regression, classification, time series analysis, clustering, graph models, etc.). * Perform secondary data review and exploratory data analysis to clearly report findings regarding usability and quality of existing data resources to provide new insights. * Maker mindset, coachable, and have an urge to learn/master new technologies and fields. * Strong ability to communicate with multiple stakeholders to build relationship and provide guidance. * Ability to work with data engineers and other technical staff for the purpose of managing structured, unstructured, and semi-structured data and applying data cleaning, data imputation and feature engineering methods prior to developing models. * Ability to advise others on correct statistical design, analysis, model selection, and validation. * Demonstrated background in assisting in the preparation of documents (e.g., briefings and reports on the design, including graphs that clearly present findings from analyses). * Knowledgeable in a breadth of statistical computer languages to manipulate data and draw insights from large data sets. * Excellent communication skills and ability to explain technical concepts to non-technical stakeholers. * Previous experience using Snowflake.

Job DescriptionDescription: Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business. Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology! Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience. Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit! This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements.? You must be available five days per week during designated work hours.? The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements Staff Data Scientist Position Overview Our data science team is responsible for developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. The team is focused on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. You can learn more about the type of work we do on our Paylocity AI page(****************************************** ). As a Staff Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Primary Responsibilities The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks • Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark • Collaborate with Product Managers, Enterprise Architects, Software Development Managers, and other leaders to translate complex human capital management challenges into data science projects • Create automated data and modeling pipelines and develop custom performance tracking • Independently build proof-of-concepts and take those concepts from ideation to productization • Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features • Conduct ad-hoc analyses and present results in a clear manner Education and Experience • Advanced degree (Master's or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or another quantitative field. Bachelor's degree required. • 6+ years of data science success at software companies • Experience in writing production grade machine learning models in Python • Experience with cloud infrastructure on AWS or Azure • Demonstrated ability to leverage data science to drive business results • Skilled at translating business problems into data science problems and communicating the results to non-technical audiences • Able to work in a collaborative environment with a desire to share your ideas • Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members • Self-motivated, adaptable, and highly detail oriented Preferred Skills: • Professional or academic experience in HR, social science or psychology • Significant experience with cloud development and infrastructure-as-code tools • Be invested in staying current in data science by applying new technologies and practices Physical requirements • Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day. • Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact accessibility@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. The base pay range for this position is $140,700 - $261,300 /yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via ************************** #LI-Tech #LI-Remote Requirements:

How you'll help us achieve it Wave is now the largest financial institution in Senegal, with over 7 million users. And, we're still in the early days of our product roadmap and potential impact on people's everyday lives. We're looking for an experienced Data Scientist and help grow and strengthen our user base. You'll work on high-impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch. The technical challenges range from crafting simple heuristics when data is sparse to applying advanced techniques like geospatial analytics, network analysis, and uplift modeling. You'll own the full cycle: defining the right approach, implementing it, and shipping it in production. This role is highly experimentation-driven: you'll be able to rapidly test ideas, learn from real user feedback, and iterate quickly. We're looking for someone who is product-minded, hands-on, and pragmatic: a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real-world impact. In this role you'll: * Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager. * Focus on advanced analytics and machine learning problems, delivering them end-to-end independently. * Prioritise work and shape your own approach in a way that maximises the positive impact on both users and the business. * Engage not just with business metrics, but also collaborate closely with Operations teams to understand the real-world outcomes and impact of your work. Key Details * You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access. * Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers. * Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package. * Major benefits: * Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country). * 6 months of fully paid parental leave and subsidized fertility assistance. * Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays. * $10,000 annual charitable donation matching. Requirements * Education and Experience * Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master's or PhD is a plus. * 4+ years experience in applied data science or similar experience. * Demonstrated experience with data analysis, machine learning and product A/B tests. * Experience in using advanced analytics for optimising targeting, rewards or incentive programs is a big plus. * Technical skills * Proficiency in applying machine learning methods to solve business problems. * Very strong Python skills with expertise in data manipulation, analysis and machine learning. Must be comfortable writing code that runs in production. * Competent in SQL. * Solid foundation in probability and statistics. You might be a good fit if you * Thrive on spotting key problems and finding the fastest, most effective solutions. * Enjoy and excel at working on machine learning and statistics problems. * Quickly build and validate proof-of-concept solutions, refining based on real-world feedback. * Prefer pragmatic approaches but apply complex methods when the impact is worth it. * Work iteratively, knowing when a project is "good enough" to avoid over-polishing. * Communicate insights clearly to all audiences and make confident, data-driven recommendations. #LI-REMOTE

GFT is seeking a Lead Data Scientist to support a variety of projects in the Mid-Atlantic Region. This role follows a hybrid work model, or can be fully remote. What you'll be challenged to do: The successful candidate will spearhead the design and delivery of advanced AI and data-driven solutions. This role is ideal for an innovative and hands-on leader with a strong track record of building and deploying predictive models, large language model (LLM) agents, and other data science products. As a senior member of the team, you will guide the data science strategy, mentor junior team members, and work closely with business stakeholders to translate complex challenges into actionable AI solutions. This is an excellent opportunity to join and enhance a diverse team that is currently working on a wide range of energizing IT and geospatially based data analytics, data visualization, asset management, and automated decision support-oriented projects across the country in several industries, including transportation, water, and energy. In this capacity, the successful candidate will be responsible for the following: Lead the design, development, and deployment of AI/ML solutions, including predictive analytics, LLM agents, and decision-support systems. Drive end-to-end data science project lifecycles: from data ingestion and preparation to modeling, validation, and production deployment. Collaborate with cross-functional teams including product managers, data engineers, and domain experts to align AI initiatives with business objectives. Stay current with advancements in machine learning, deep learning, natural language processing (NLP), and generative AI, applying them to real-world problems. Mentor and provide technical guidance to junior data scientists and analysts. Define best practices for model development, deployment, monitoring, and governance. Communicate findings and recommendations to technical and non-technical audiences, including senior leadership. Document procedures and maintain clear technical documentation. What you bring to our firm: Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. 5+ years of hands-on experience designing and implementing AI and machine learning solutions. Demonstrated expertise in developing and deploying predictive models and LLM-based agents. Proficiency in Python, R, or similar programming languages, with experience using frameworks such as TensorFlow, PyTorch, or Hugging Face. Strong understanding of cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Proven ability to lead projects, mentor teams, and communicate effectively with diverse stakeholders. Excellent problem-solving, communication, and customer service skills. What we prefer you bring: Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. Experience creating ML/AI pipelines and implementing MLOps best practices. Experience in the transportation industry, water industry, energy industry, or similar industries. Strong background in applied statistics and optimization methods. Experience working in agile development environments. Experience leading and growing teams. Experience with the Esri product suite. Experience with business intelligence platforms such as MS Power BI, Tableau, Qlik, Logi Analytics and others. Knowledge and experience with SQL Server, Oracle, PostgreSQL, Snowflake. Compensation: The Salary range for this position is $125,000-$155,000. Salary is dependent upon experience and geographic location. Featured Benefits: Hybrid (in-person and remote) work environment. Comprehensive benefits package including wellness programs, parental leave, and pet insurance, in addition to medical, dental, vision, disability, and life insurance. Tax-deferred 401(k) savings plan. Competitive paid-time-off (PTO) accrual. Tuition reimbursement for continued education. Commitment to professional development, access to internal and external training programs, and support of active participation in professional organizations Incentive compensation for eligible positions. At GFT, a privately held AEC firm, we innovate where transportation, water, power, and buildings converge. We call this the Infrastructure of Life. We measure our success by the strength of our relationships - that's why we're the employer of choice for 5,000+ of the industry's brightest engineers, planners, architects, inspectors, designers, and more. Our clients choose us for our expertise and prefer us for our nimble approach, creativity, and personal touch. Backed by over a century's experience, together we're building a lasting legacy for future generations: stronger communities, a healthier planet, and better lives. GFT: Ingenuity That Shapes Lives™ GFT is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veterans' status or other characteristics protected by law. Unsolicited resumes from third party agencies will be considered the property of Gannett Fleming TranSystems. Location: Remote Core Business Hours: 8:00 AM - 5:00 PM Employment Status: Full-Time Salary Range: $125,000-$155,000 Salary dependent upon experience and geographic location #LI-Remote #LI-KK1

**Why UKG:** At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you. As a Lead Data Scientist in the Customer Value Advisory organization, you'll be the primary driver of our data initiatives, ensuring that UKG remains at the forefront of analytics innovation in WFM and HCM. In this role, you will: - Design and build data pipelines and predictive models using Python, SQL (BigQuery), and the latest AI models with Google Cloud Platform. - Engineer new data sources by collaborating cross-functionally to identify, ingest, and unify multiple datasets, unlocking advanced analytics and deep customer insights. - Create and refine machine learning and AI models that power real-world applications such as customer churn prediction, ROI modeling, and market benchmarking. - Lead projects end-to-end by defining objectives, managing timelines, and delivering robust solutions that demonstrate tangible value for our customers and internal stakeholders. - Mentor and guide other data scientists, sharing best practices in coding, model development, and stakeholder engagement. - Collaborate and consult with Value Consultants, Sales Engineers, and other Go-to-Market teams to ensure our data products accurately showcase the business value of UKG's offerings. - Provide expert support for strategic and ad hoc deal requests, including high-visibility presentations and direct or indirect customer-facing engagements. Technical & Business Balance: Comfortable building technical solutions (writing code, querying databases) and interpreting the results for a business audience. You can think through the technical details while keeping in mind the bigger picture and business value. _*This is a remote position however, the candidate must live within 75 miles of our Lowell, MA, headquarters_ About You **Basic Qualifications** - Undergraduate degree in a technical or quantitative field (e.g., Engineering, Computer Science, Mathematics, Physics) or equivalent experience. - 5+ years proven experience in data engineering, data science, or a related discipline, with a track record of building, deploying, and maintaining analytical pipelines and predictive models. - 3+ years proven Proficiency in SQL and Python for data manipulation, transformation, modeling. **Preferred Qualifications** - Experience with cloud platforms such as Google Cloud Platform (GCP) (or AWS, Azure, etc.) for data warehousing, model deployment, or analytics at scale. - Familiarity with advanced AI/ML concepts, including NLP or generative AI. - Exposure to real-world data projects (SaaS, HR, or workforce management environments is a plus). - Leadership or mentorship background, guiding junior data scientists on project deliverables and professional development. - Strong communication skills for explaining technical concepts and analytical insights to both business and technical stakeholders. - Passion for WFM/HCM and a desire to leverage data science to drive measurable business outcomes. Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email ******************. The pay range for this position is $126,300 to $181,550, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at ********************************************* It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku's experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC. What you'll be doing Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering. Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation, and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback We're excited if you have 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master's degree. Deep knowledge of statistics, probability, and machine learning techniques Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis Hands-on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a dynamic environment The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships. A desire to question the status quo and promote innovative solutions to challenging problems. #LI-OnsiteOur Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku's experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC. What you'll be doing * Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering. * Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias * Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies * Develop necessary data pipelines to power automation, validation, and reporting * Collaborate with stakeholders to align data science initiatives with organizational goals and strategy * Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback We're excited if you have * 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master's degree. * Deep knowledge of statistics, probability, and machine learning techniques * Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting * Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis * Hands-on experience with visualization tools like Tableau or Looker * Have a bias towards action in resolving issues and operate in a dynamic environment * The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships. * A desire to question the status quo and promote innovative solutions to challenging problems. #LI-Onsite Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku's experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For New York Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC. What you'll be doing Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering. Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation, and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback We're excited if you have 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master's degree. Deep knowledge of statistics, probability, and machine learning techniques Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis Hands-on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a dynamic environment. The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships. A desire to question the status quo and promote innovative solutions to challenging problems. #LI-OnsiteOur Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist, Data Journalism San Mateo, CA (hybrid)* This position will also require onsite work at least one day/week at our San Mateo location. As a Senior Data Scientist focused on Data Journalism in the Product Data Science team, you will be working at the forefront of data science to uncover and share important data stories by exploring user behavior across the PlayStation ecosystem and discovering and communicating new information about our users and our ecosystem that will advance our company's ability to use data. You will work with team members and internal customers to harness your knowledge of data communication and data analysis techniques in order to unravel complex phenomenon and inform decision making throughout the company that will help create a personalized, joyous experience for PlayStation users around the world. Responsibilities: Identify and bring to life data stories that are present but unexplored in the team's output in a way that is both accurate and approachable. Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Explore PlayStation data to ensure that you are using the best source of data for your analyses and maintaining awareness of any issues of interpretation that may arise. Perform ad-hoc analyses on petabytes of complex data. Learn new tools as appropriate and determine how best to convey your stories in the tools and formats that are available to you. Develop a thorough understanding of the business, our products, partners, and users, how information flows through the company, and how the PDS team contributes to and supplements that flow. Provide critical information to diverse audiences to inform decision making, increase understanding of our ecosystem, and inspire action and innovation. Required Skills and Qualifications: Strong understanding of data manipulation techniques, including intermediate or advanced understanding of SQL and Python or other similar languages. Excellent data storytelling skills, with the ability to translate complex data into clear, engaging, insightful narratives. Strong analytical and problem solving skills. Proficiency with data visualization tools. Experience working with large, complex datasets. Keen sense of what data stories should be told and how to tell them. Excellent communication and interpersonal skills and the desire and ability to work collaboratively with people from different areas of expertise and build and maintain relationships with a variety of partners and internal customers. Strong business sense and interest in what we do and how we do it. Ability to adapt your thinking when faced with new evidence. Preferred Qualifications: Knowledge of the gaming industry or related domain areas (e.g., media or entertainment). Familiarity with Streamlit or similar frameworks. Experience working closely with data scientists and/or data engineers. Experience working in a global environment. Ability to influence without authority. *PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. We will consider fully remote candidates who are able to come in for 'Moments that Matter'. #LI-KD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$182,500-$273,700 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.