senior data scientist

High Side Technology

<div>Description:

High Side Technology?has an immediate need for a senior-level software engineer or data scientist to support the research and engineering initiatives of Geospatial Intelligence (GEOINT) analysis programs for Department of Defense (DoD) and Intelligence Community (IC) clients. The engineer/scientist will provide technical guidance and software systems engineering support in assessing new technologies for computer vision and structured observation data processing/management systems. This position will also plan and support the transition of new technologies to operational GEOINT analysis systems. This position will work as part of an integrated government/contractor team in supporting new technology research and engineering initiatives.
Requirements:

 Responsibilities:<ul><li>
Provide engineering/scientific expertise to GEOINT analysis programs; assisting with the development and management of data analytics, algorithms and modeling, tradecraft governance and proliferation, and rules and alerting capabilities to augment analytic workflows addressing DoD/IC mission priorities.
</li><li>Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues.
</li><li>Provide research and engineering support to inform and guide the development and transition of new GEOINT analysis technologies.</li><li>
Assess, evaluate, and inform new computer vision (CV) technologies including specialized algorithms and machine learning (ML) models.</li><li>
Assess, evaluate, and inform new technologies for Structured Observation Management (SOM) and Activity-Based Intelligence (ABI) capabilities.</li><li>
Ensure the establishment of complete and accurate system-level functional/performance requirements that are traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program&rsquo;s architecture objectives and acquisition strategy.</li><li>
Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution.
</li><li>Provide technical coordination, architecture guidance, and support for analysis capabilities development/implementation, technical road-mapping, and budget development.
</li><li>Plan and support data management practices to efficiently process and manage data for GEOINT analysis and production.</li></ul>
Desired Experience:<ul><li>
Master&rsquo;s degree or higher in Engineering, Computer Science, Data Science, Information Technology, Management Information Systems, or related STEM degree.
</li><li>Expert-level experience in government or industry in data management or Big Data analysis.
</li><li>Experience integrating solutions using Cloud-based technologies</li><li>
Demonstrated senior level experience leading technology development and technical integration efforts</li><li>
Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition.</li></ul>
Additional Desired Experience:<ul><li>
Experience with processes, tools, and languages pertaining to Model-Based Systems Engineering (MBSE)</li><li>
Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies</li><li>
Demonstrated senior level experience integrating Geospatial Intelligence systems</li><li>
Demonstrated senior level experience in systems engineering and integration of large complex system of systems of service-centric/Cloud environments</li></ul>
The Engineer/Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills.
Requirements:<ul><li>
United States citizenship required</li><li>
Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph required</li><li>
Bachelor&rsquo;s degree in a relevant technical field</li><li>
8+ years of experience</li></ul></div>

Senior Data Scientist

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

<div>Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
Responsibilities:
Machine Learning &amp; NLP Development<ul><li>
Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li><li>
Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li><li>
Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li><li>
Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li><li>
Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks</li><li>
Evaluate and optimize prompt engineering strategies and context efficiency</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li><li>
Perform data wrangling and preprocessing using pandas and NumPy</li><li>
Design and manage feature stores</li><li>
Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li></ul>
Model Deployment &amp; Production<ul><li>
Build and maintain RESTful APIs for serving ML models in production</li><li>
Deploy scalable AI services and manage CI/CD pipelines</li><li>
Monitor model performance, drift detection, and lifecycle management</li><li>
Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li></ul>
Statistical &amp; Analytical Expertise<ul><li>
Apply advanced statistics, probability theory, and experimental design</li><li>
Conduct hypothesis testing and data-driven analysis to support business decisions</li></ul>
Collaboration &amp; Integration<ul><li>
Work closely with product and engineering teams to embed AI solutions into production systems</li><li>
Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li></ul> 

Requirements 
Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li><li>
Minimum 4 years of experience in machine learning and data science roles</li><li>
Proven track record of delivering production-grade ML and NLP projects</li><li>
Experience leading small data science teams or technical workstreams</li></ul>
Technical Requirements<ul><li>
Strong programming skills in Python and R</li><li>
Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li><li>
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>
Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li><li>
Strong expertise in transformer architectures and LLM fine-tuning</li><li>
Experience using LangChain or LlamaIndex for orchestration</li><li>
Experience deploying ML models via RESTful APIs</li><li>
Knowledge of model monitoring, explainability, and performance optimization</li></ul>
Leadership and Soft Skills<ul><li>
Ability to lead small teams or project workstreams</li><li>
Strong ownership mindset with focus on quality and delivery timelines</li><li>
Ensures alignment of technical work with business KPIs</li><li>
Coaches and mentors mid-level team members</li><li>
Strong problem-solving and collaboration skills</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary
</li><li>Social insurance</li><li>
Family Medical Insurance (AXA)</li><li>
Location: New Cairo</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM
</li><li>Days Off: Fridays and Saturday</li></ul></div>

PARKHILL

<div>Overview:
<div>
The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.</div><div></div><div> 
Life at Parkhill</div><div><div>
At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers &mdash; we are neighbors who choose to live and work in the communities we serve.</div></div><div></div><div><div> 
Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.</div></div><div></div><div><div> 
Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma.</div></div>
Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.</li><li>
Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.</li><li>
Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.</li><li>
Apply AI and machine learning methods, including generative AI, to support data and AI use cases.</li><li>
Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.</li><li>
Contribute to the growth of Parkhill&rsquo;s data science capabilities.</li><li>
Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field</li><li>
7+ years in data science, analytics, or AI roles</li><li>
Experience with AEC, engineering, or consulting environments</li><li>
Strong proficiency in Python or R, including relevant ML libraries</li><li>
Expertise in SQL and experience with data visualization tools (Power BI, Tableau)</li><li>
Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment</li><li>
Experience with generative AI frameworks</li></ul><div>
Benefits and Perks</div><div>
We offer a comprehensive benefits program that supports the whole person. Our benefits include:</div><ul><li><div>
Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.</div></li><li><div>
Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.</div></li><li><div>
Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.</div></li></ul></div>

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 About the team&nbsp;
 
 
 At Roku, as a Senior Data Scientists you will leverage Big Data to generate insights that fuel Roku&rsquo;s most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.&nbsp;&nbsp;&nbsp;
 
 
 About the role
 
 
 Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting the Operations team. As a Sr. Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data.&nbsp; Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen. &nbsp;&nbsp;
 
 
 The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.&nbsp;
 
 
 This role is hybrid and located in Austin, TX.&nbsp; Employees are expected to report to the office Monday - Thursday.
 
 
 &nbsp;
 
 
 What you&rsquo;ll be doing:&nbsp;
 
 <ul>
 <li>
 Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health&nbsp;
 </li>
 <li>
 Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.&nbsp;&nbsp;
 </li>
 <li>
 Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau etc.&nbsp;
 </li>
 <li>
 Develop necessary data pipelines to power automation, validation and reporting.&nbsp;
 </li>
 <li>
 Use creativity to find proxies where verbatim data or measurement is unavailable&nbsp;
 </li>
 <li>
 Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests&nbsp;
 </li>
 <li>
 Stay updated with the latest trends and technologies in data science to drive innovation
 </li>
 </ul>
 
 &nbsp;
 
 
 We&rsquo;re excited if you have:&nbsp;
 
 <ul>
 <li>
 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in Logistics, operations, product analytics is preferred.&nbsp;
 </li>
 <li>
 Excellent command of SQL and experience working with Big Data&nbsp;
 </li>
 <li>
 Experience coding in Python or R.&nbsp;
 </li>
 <li>
 Hands-on experience with data visualization platform like Tableau, Looker, or similar
 </li>
 <li>
 Statistics knowledge: A/B testing, statistical inference, interpretation of data&nbsp;
 </li>
 <li>
 Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment&nbsp;
 </li>
 <li>
 Self-driven, highly motivated, and independent minded individual who has a natural curiosity for understanding operations via data.&nbsp;
 </li>
 <li>
 Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.&nbsp;
 </li>
 <li>
 Excellent investigative skills with a passion for finding the root cause of an issue.&nbsp;
 </li>
 <li>
 The ability to work independently and across multiple time zones&nbsp;
 </li>
 <li>
 Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking&nbsp;
 </li>
 <li>
 Academic background in math, physics, computer science, economics&nbsp;&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 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 EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 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 https://www.weareroku.com/factsheet.
 
 
 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.
 
</div>

Richard, Wayne & Roberts

<div>
 
 The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. The position is direct hire and onsite, located in Arlington, VA.
 
 
 
 
 
 In this role, responsible for building end-to-end data science and AI solutions that deliver measurable business value by working across the full analytics lifecycle, including requirements gathering, data generation and transformation, model development, testing, deployment, and model serving. The position emphasizes creating scalable, automated, and maintainable software solutions while minimizing technical debt and supporting future business needs.
 
 
 
 
 
 Candidates should have a bachelor&rsquo;s degree in an analytical field with at least
 
 10 years
 
 of experience, or a master&rsquo;s degree in data science or a related discipline, along with strong proficiency in Python and data manipulation libraries such as Spark, Pandas, or Polars.
 
 
 
 
 
 Experience applying artificial intelligence and machine learning techniques including supervised and unsupervised learning, distributed ML frameworks, and AI model evaluation is required, with preferred exposure to PySpark using the Spark SQL API, AI-driven analytics, data visualization using native Python libraries, software development best practices, simulation methodologies, and open-source optimization tools.
 
 
 
 
 
 No 3rd party and No sponsorships now or in the future.
 
 
 Relocation assistance only in the US
 
 
 
 
 
 LI-#HP
 
 
 
</div>

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