technical project manager data engineering data science

NVIDIA

<div><p>The NVIDIA Operations organization is seeking a technology professional for the Senior Technical Program Manager position. This role supports initiatives in the Supply Chain Business Transformation organization. In your role as a Senior Technical Program Manager within our team, you will drive various technical, process, and application initiatives that require your technical leadership and process knowledge directly supporting the Supply Chain, Planning, Manufacturing, Quality and Service Operations teams. You will clarify and challenge objectives, develop roadmaps, assess the complexity and risks, drive process improvements/reengineering and partner with highly skilled technical resources to deliver quality solutions with agility and speed.</p><p></p><p><b>
What you&rsquo;ll be doing</b>:</p><ul><li><p>
Organize and drive planning, requirements, scheduling, and standup/retrospective discussions</p></li><li><p>
Lead efforts to improve processes for the businesses</p></li><li><p>
Support the engineering teams in estimating and prioritizing tasks in order to maintain a realistic schedule</p></li><li><p>
Lead multiple projects and initiatives concurrently</p></li><li><p>
Identify project scope, define success criteria, manage initiative risks, and outline resource requirements with business owners</p></li><li><p>
Be responsible for the requirements &amp; development of business use cases. Lean in to draft business requirements.</p></li><li><p>
Set expectations with partners and team members regularly, provide project updates, and communicate key decisions on project scope</p></li><li><p>
Interact and collaborate with multi-functional teams and different org levels</p></li></ul><p></p><p><b>
What we need to see</b>:</p><ul><li><p>
Bachelor's or Master&rsquo;s degree in Engineering, Computer Science, Supply Chain/Operations Management or equivalent experience</p></li><li><p>
12+ years of proven experience</p></li><li><p>
Able to work on multiple projects with a team of engineers and other teammates in a dynamic and constantly evolving environment</p></li><li><p>
Excellent written and verbal communication and presentation skills together including effective writing and speaking/presentations with proficiency in adjusting your message to suit different levels of management</p></li><li><p>
Ability to adapt to new challenges and promote delivery of software on time and at the highest quality possible</p></li><li><p>
Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of the data and process landscape</p></li><li><p>
Supply Chain experience is a must, and experience leading IT Applications/infrastructure and Data Analytics projects</p></li><li><p>
Proven track record of delivering solutions when needed, while navigating a fast-paced environment with frequent shift in priorities</p></li><li><p>
Ability to engage with IT &amp; business leaders to unblock projects as needed and the ability to thrive within an agile &amp; scrum methodology</p></li></ul><p></p><p><b>
Ways to stand out from the crowd</b>:</p><ul><li><p>
Flexibility and adaptability in a fast-paced environment with different frameworks and requirements</p></li><li><p>
Project Management Professional Certification a plus, and experience in Reverse Logistics, Supply Chain Networks, and Quality</p></li><li><p>
Cloud environments, Data, and Data science experience, or other related technical background</p></li><li><p>
Demonstrate attention to finding opportunities for process improvement</p></li><li><p>
Show previous experience with developing systems at cloud scale</p></li></ul><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until September 1, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior Technical Program Manager, Supply Chain Business Transformation

VINCI

<div><p><b>Job Title: </b>Senior Data Scientist</p><p><b>
Reporting to: </b>IT Business Solutions Manager</p><p></p><p><b>
Role purpose</b></p><p>
The Senior Data Scientist will help the organisation make better use of its data. The role will develop practical analytics, machine learning and AI solutions that support decision-making, improve business performance and create measurable value.</p><p></p><p>
Working closely with operational, finance, HR and our Regional teams, the Senior Data Scientist will turn business data into clear insight, predictive models and useful digital tools. The role will also support the development of the Omexom enterprise data lake and help put secure, reliable and well-governed data practices in place across the business.</p><p><b>
Responsibilities &amp; Duties</b></p><ul><li>Design, build and deploy machine learning and AI models that solve real business problems.</li><li>Use data to support forecasting, planning, and better decision-making.</li><li>Develop analytical solutions to support project delivery, workforce planning, revenue performance and operational efficiency.</li><li>Support the design and development of the Omexom enterprise data lake.</li><li>Help define how data is collected, stored, transformed and used across different business systems.</li><li>Create clear standards and best practice for data science, analytics and AI projects.</li><li>Work with business units to define data ownership, data quality and accountability.</li><li>Identify opportunities to get more value from Omexom&rsquo;s data assets.</li><li>Review emerging AI technologies and recommend practical use cases to add business value.</li><li>Support high availability, resilience and business continuity for key data services.</li><li>Enable the safe deployment of AI and machine learning models across the organisation.</li></ul><p></p><p><b>
Qualifications and experience</b></p><p>
The jobholder must be a results focused self-starter with the enthusiasm, motivation and initiative to succeed in this role, possessing:</p><ul><li>Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related discipline.</li><li>Minimum of three years&rsquo; experience in data science, data analytics, machine learning or data engineering roles.</li><li>Strong experience developing production-grade machine learning models and analytical solutions.</li><li>Proven ability to deliver business value through advanced analytics and data-driven insight.</li><li>Experience working with large, complex structured and unstructured datasets.</li><li>Experience leading data science projects and supporting or mentoring colleagues.</li><li>Experience leading teams and providing coaching and mentorship.</li></ul><p><b>
Desirable:</b></p><ul><li>Master&rsquo;s degree in Data Science, Artificial Intelligence, Machine Learning, Statistics or a related discipline.</li><li>PhD in a relevant analytical, scientific or technical discipline.</li></ul><p><b>
Technical Skills</b></p><ul><li>The role requires strong technical expertise in Python, SQL, API integrations, and developing data and analytics solutions that can grow with the business. Candidates should also have experience with modern AI technologies, including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), deep learning, and machine learning.</li></ul><p><b>
Security</b></p><ul><li>The Senior Data Scientist will be responsible for handling data securely and ethically. This includes protecting data through encryption, applying secure AI and machine learning practices, and ensuring that solutions comply with relevant regulations and security standards, including GDPR, ISO 27001, and Cyber Essentials Plus.</li></ul><p><b>
Soft Skills</b></p><ul><li>Strong communication skills with the ability to explain technical concepts clearly to non-technical stakeholders.</li><li>Analytical and practical problem-solving mindset, with a focus on continuous improvement and business value.</li><li>Ability to manage competing priorities, work under pressure and deliver high-quality outcomes.</li></ul><p></p><p>
This role is an opportunity to help shape the future of data, analytics and AI within Omexom UK &amp; Ireland. The successful candidate will play an important part in the organisation&rsquo;s digital transformation journey by delivering practical solutions that improve operations, support commercial performance and create long-term business value.</p><p></p><p><b>
Values</b></p><p>
In line with Omexom&rsquo;s values, the jobholder must have the following qualities:</p><p><b>
Team Spirit &amp; Generosity</b> &ndash; able to work effectively within and contribute to the Omexom team to deliver results, provide support and drive performance.</p><p><b>
Trust and Empowerment</b> &ndash; enjoy managing their responsibilities and time to ensure work is completed efficiently and professionally.</p><p><b>
Integrity and Responsibility</b> &ndash; enjoy taking responsibility for their duties and managing these effectively to ensure efficient high quality results.</p><p><b>
Innovation &amp; Entrepreneurship</b> &ndash; continually strive to improve processes and introduce new initiatives to improve efficiency.</p></div><p></p>

Senior Data Scientist

ParallelDots

<p><b>About The Role:</b></p><p>As an entry-level Technical Project Coordinator, you will act as the operational bridge between our data science team (consisting of ML and MLOps engineers) and our customer success team. Your primary goal is to handle the administrative and coordination overhead, allowing engineers to focus on building and deploying models.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Agile Management:</b> Facilitate daily scrum updates, manage the team&rsquo;s JIRA board, and assist in sprint planning and retrospective sessions.</li><li><b>Requirements Gathering:</b> Meet with business teams to document technical requirements and translate them into actionable tasks for the engineering team.</li><li><b>Call Coordination:</b> Schedule and moderate calls between engineering, MLOps, and business stakeholders, take follow-ups, and ensure clear communication of project status.</li><li><b>Project Administration:</b> Support project setup, manage documentation, and track delivery timelines to ensure milestones are met.</li><li><b>Cross-Team Sync:</b> Coordinate with other departments (Data Science, DevOps, QA) to manage dependencies and remove operational bottlenecks.</li></ul><p><b>Qualifications:</b></p><ul><li><b>Education:</b></li><li>Bachelor&rsquo;s degree in Computer Science, IT, Business Management, or a related field.</li><li><b>Technical Familiarity:</b>Understanding of the ML lifecycle (training to deployment) and basic MLOps concepts.</li><li><b>Tools</b>: Hands-on experience or certification in JIRA and Agile/Scrum methodologies.</li><li><b>Skills:</b> Exceptional organizational skills, verbal and written communication, and the ability to simplify technical jargon for business users.</li><li><b>Certifications (Preferred): </b> Certified Scrum Master (CSM) or CAPM is a plus.</li></ul><p>Pay: ₹300,000.00 - ₹550,000.00 per year</p><p>Work Location: Remote</p>

Technical Project Coordinator(AI/ML)

Arcadis

<p></p><div><p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.</p>
<p>
We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.</p>
<p><b>
Role description:</b></p>
<div>
Arcadis is seeking a <b>Senior Data Engineer </b>to design, develop, and optimise enterprise-scale data solutions that support major projects, programmes, and business functions.
</div><div>As a technical specialist within multidisciplinary teams, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions.
</div><div>The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security.
</div>
<p><b>Role accountabilities:</b></p>
<ul>
<li>Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.</li>
<li>Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.</li>
<li>Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making.</li>
<li>Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets.</li>
<li>Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements.</li>
<li>Drive continuous improvement through automation, process optimisation, and adoption of industry best practices.</li>
<li>Ensure compliance with Arcadis standards relating to information management, data governance, cyber security, and data privacy.</li>
<li>Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance to project teams.</li>
<li>Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.</li>
<li>Support the development of junior team members through mentoring, knowledge sharing, and technical leadership.</li>
<li>Contribute to the development of organisational data engineering standards, frameworks, and reusable solutions.</li>
<li><div>Support solution architecture, platform design, and strategic data initiatives across programmes and business functions.
</div></li></ul><p><b>Qualifications &amp; Experience:</b></p>
<div>
<b>Essential Experience</b>
</div><ul><li>Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments.</li>
<li>Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.</li>
<li>Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.</li>
<li>Strong understanding of data modelling, database design, metadata management, and data architecture principles.</li>
<li>Experience implementing data quality, governance, and assurance practices.</li>
<li>Experience supporting reporting, analytics, and business intelligence solutions.</li>
<li>Understanding of information security, cyber security, and data protection requirements within enterprise environments.</li>
<li>Experience working directly with stakeholders to gather requirements and translate them into technical solutions.</li>
<li>Ability to manage competing priorities and deliver high-quality outputs within project timescales.</li>
</ul><div><b>Desirable Experience</b>
</div><ul><li><div>Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
</div></li><li>Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices.</li>
<li><div>Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies.
</div></li><li><div>Information Management in a complex construction or infrastructure project/programme
</div></li><li>Experience developing enterprise data products and supporting AI or advanced analytics initiatives.</li>
</ul><div><b>Education / Background</b>
</div><div>One or more of the following:
</div><ul><li>Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline.</li>
<li>Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent.</li>
<li>Equivalent demonstrable experience delivering complex data engineering solutions.</li>
</ul><div><b>Key Competencies</b>
</div><ul><li>Strong analytical and problem-solving capability.</li>
<li>Technical leadership and mentoring skills.</li>
<li>Excellent stakeholder engagement and communication skills.</li>
<li>Ability to influence data management best practice across teams.</li>
<li>Continuous improvement mindset with a focus on automation and innovation.</li>
<li>Commitment to quality, sustainability, and secure data practices.</li>
</ul>
<p>Why Arcadis?</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Join Arcadis. Create a Legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&amp;I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.</p></div><p></p>

Senior Data Engineer

University of Sunderland

Job Title: Associate Lecturer in Computer Science with Artificial Intelligence
Department: Academic Operations
Location: London, Canary Wharf
Contract Type: Fixed Term until 31 January 2027
Hours: Variable Hours
Hourly Rate: &pound;27.20-&pound;32.30. Consolidated rate for Cat 1 inc holiday pay: &pound;66.00 to &pound;78.39
About The Role
The University of Sunderland in London is seeking an enthusiastic and industry-engaged Associate Lecturer to contribute to the delivery of our innovative BSc (Hons) and MSc Computer Science with Artificial Intelligence programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible digital innovation. Our programmes are delivered predominantly through face-to-face teaching in London and emphasise practical, project-based learning and authentic assessment.
You will deliver high-quality teaching and learning across undergraduate and postgraduate modules. You will facilitate lectures, workshops and laboratory sessions, support students&rsquo; academic development, assess coursework and contribute to an inclusive and engaging learning environment.
Teaching opportunities are available across a range of subject areas including:
Programming and Software Development (Python, Java, Object-Oriented Programming)
Algorithms, Data Structures and Computational Thinking
Mathematics for Computing and Data Science
Database Systems and Big Data Technologies
Software Engineering and System Architecture
Cloud Computing and Distributed Systems
Artificial Intelligence and Intelligent Systems
Machine Learning and Deep Learning
Natural Language Processing
Responsible AI, Ethics and Human-Centred Computing
Capstone AI Innovation Projects
Professional Practice, Agile Development and Emerging Technologies
Key Responsibilities
Deliver engaging lectures, workshops and practical laboratory sessions.
Support students through academic guidance, feedback and personal development.
Design and assess authentic coursework including software artefacts, technical reports, presentations and portfolios.
Supervise undergraduate and postgraduate capstone projects during workshops.
Embed inclusive teaching practices and promote student success.
Maintain academic standards in line with the university and QAA Quality Assurance expectations.
Contribute to curriculum enhancement and continuous quality improvement.
Integrate contemporary industry tools, cloud platforms and AI technologies into learning activities.
About Our Programmes
Our BSc (Hons) Computer Science with Artificial Intelligence programme takes students from foundational computing concepts to advanced AI applications. Students gain expertise in programming, algorithms, software engineering, databases, machine learning, deep learning, and cloud-based AI deployment, culminating in a substantial Capstone AI Innovation Project.
The MSc Computer Science with Artificial Intelligence develops advanced technical and professional capabilities through practice-oriented learning. Students build scalable software systems, develop intelligent AI solutions, work with cloud and big data technologies and complete an industry-relevant capstone project. All modules are assessed through coursework rather than traditional examinations, reflecting authentic professional practice.
Essential Requirements
A postgraduate qualification (Master&rsquo;s or PhD) in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a closely related discipline.
Demonstrable expertise in one or more of the subject areas listed above.
Experience with tools such as Python, Java, TensorFlow, PyTorch, SQL, Docker, Kubernetes, Git and cloud platforms (AWS, Azure or GCP).
Experience of teaching, training or mentoring in higher education or professional settings.
Excellent communication and interpersonal skills.
Experience of designing or assessing practical computing assignments.
A commitment to equality, diversity and inclusive education.
 Desirable
Fellowship of Advance HE (or willingness to work towards it).
Industry experience in software development, AI, cloud computing or data engineering.
Knowledge of Agile methodologies and DevOps practices.
Experience in supervising capstone projects.
We reserve the right to close this vacancy earlier than the advertised closing date.
For an informal discussion, contact: Dr Yahaya Alhassan, Head of Academic Operations via yahaya.alhassan@sunderland.ac.uk
<br><div><div>Job Details</div>
<div><div><div>Department</div>
<div>University of Sunderland in London - Academic Operations</div>
<div>Location</div>
<div>University of Sunderland in London</div>
<div>Hours per Week</div>
<div>Variable</div>
<div>Closing Date</div>
<div>Thursday 10 September 2026</div>
<div>Interview Date</div>
<div>To be confirmed
</div><div>Reference</div>
<div>USL819</div></div></div></div><div></div>

Associate Lecturer in Computer Science with Artificial Intelligence

Arcraft Infotech

<p><b>Job Description &ndash; Python cum Data Science Trainer</b></p><p><b>Job Title: Python cum Data Science Trainer</b></p><p><b>Company: Arcraft Infotech</b></p><p><b>Location: Vyttila, Kochi &ndash; On-Site</b></p><p><b>Employment Type: Full-time</b></p><p><b>Job Summary</b></p><p>Arcraft Infotech is seeking a passionate and knowledgeable Python cum Data Science Trainer to deliver high-quality training programs to students and professionals. The ideal candidate should possess strong technical expertise in Python programming, Data Science, Machine Learning, and data analysis, along with excellent teaching and mentoring skills.</p><p>The trainer will be responsible for conducting practical training sessions, guiding students through live and capstone projects, and preparing them for industry requirements and placements.</p><p><b>Key Responsibilities</b></p><p>- Deliver classroom and online training sessions on Python Programming, Data Science, and Machine Learning.</p><p>- Design and update training materials, presentations, assignments, coding exercises, and practical projects.</p><p>- Train students in core Python concepts including data structures, OOP, functions, modules, file handling, exception handling, APIs, and packages.</p><p>- Teach Data Science concepts, including data collection, data preprocessing, data cleaning, exploratory data analysis (EDA), feature engineering, and data visualization.</p><p>- Train students in NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.</p><p>- Introduce students to fundamental Machine Learning algorithms and concepts.</p><p>- Conduct practical coding sessions and provide debugging and technical support.</p><p>- Evaluate student performance through assessments, assignments, quizzes, coding tests, and mock interviews.</p><p>- Keep course content updated with the latest trends in Python, Data Science, AI, and Machine Learning.</p><p>- Maintain attendance records, student progress reports, assessments, and training documentation.</p><p><b>Required Skills</b></p><p>- Excellent communication and presentation skills.</p><p>- Strong classroom management and mentoring abilities.</p><p>- Ability to explain technical concepts in a simple and practical manner.</p><p>- Good analytical and problem-solving skills.</p><p>- Passion for teaching and continuous learning.</p><p>- Ability to conduct practical, project-based training.</p><p>- Ability to handle multiple batches and manage training schedules.</p><p>- Strong documentation and reporting skills.</p><p><b>Educational Qualification</b></p><p>- Bachelor's or Master's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Computer Applications, or a related field.</p><p>- Relevant certifications in Python, Data Science, Machine Learning, AI, SQL, or Data Analytics will be an added advantage.</p><p><b>Experience</b></p><p>- 0&ndash;2 years of experience as a Python Trainer, Data Science Trainer, Machine Learning Trainer, or Technical Trainer.</p><p>- Candidates with industry experience in Data Science, Machine Learning, Python Development, or Software Development will be preferred.</p><p>- Freshers with exceptional technical knowledge, strong projects, and good teaching ability may also be considered.</p><p><b>How to Apply</b></p><p>Interested candidates can apply by sending their updated resume to:</p><p>7994316660</p><p>Pay: ₹12,000.00 - ₹20,000.00 per month</p><p>Work Location: In person</p>

PYTHON CUM DATASCIENCE TRAINER

MANTECH

<div><p><b>MANTECH</b> International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in <b>Raleigh, NC, Washington DC or Charlottesville, VA</b>. This role is hybrid and must be onsite 1&ndash;2 days per week.</p><p></p><p>
This role is for a highly experienced and curious data scientist to lead and/or support the full-lifecycle development and deployment of analytical solutions at You will operate as a critical member of our analytics consulting team, acting as a trusted advisor for a diverse set of client partners. MANTECH's data scientists leverage advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready solutions supported by robust data engineering practices.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li><b>
Lead and Contribute to Data Science Projects:</b> Dive deeply into complex and often nebulous requirements and draw from your expertise to develop production-ready models and analytics products for our clients. Clients&rsquo; needs can require a broad set of analytics skills including but not limited to time series forecasting, natural language processing (NLP), classification/regression modeling, and optimization.</li><li><b>
Design Solutions within Client Environments</b>: Adapt project work to the client&rsquo;s tooling and environment requirements. This will oftentimes require quickly learning new systems and tools to be able to deliver solutions that will work well within a client&rsquo;s ecosystem.</li><li><b>
Consult with Clients to Solve Problems:</b> Engage in critical requirements gathering and data &ldquo;sleuthing&rdquo; to connect business use cases with the right analytics techniques to provide real-world impact. You will often work directly with clients to define and solve problems that lack clear initial definitions and will regularly communicate your solutions directly to stakeholders.</li><li><b>
Develop, Lead, and Support Analytics Training Courses:</b><b> </b>Develop and/or teach bespoke data science, AI, or related material designed specifically for Elder Research clients. This can include support for active courses through lecture, mentoring, and grading.</li><li><b>
Collaborate and Communicate:</b> Work with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.</li></ul><p><b>
Minimum Qualifications:</b></p><ul><li>
3+ years of experience as a Data Scientist with a Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or the social or natural sciences.</li><li>
High proficiency in Python and/or R, including libraries for data analysis and modeling.</li><li>
Experience developing machine learning models and employing model validation best practices.</li><li>
Strong SQL experience to facilitate deep dives and analysis of complex datasets.</li><li>
Working knowledge of version control (Git) for source code.</li><li>
Initiative and willingness to &ldquo;hit the ground running&rdquo; on new projects; unafraid to work independently.</li><li>
Passion and curiosity for exploring data to understand the business context and connect technical work to real-world impact.</li><li>
Excitement to continually learn new tools and techniques.</li><li>
Humility and eagerness to collaborate with other data scientists, data engineers, engagement and project managers, and clients.</li><li>
Interest in developing and contributing to instruction for data science and AI training courses.</li><li>
Ability to communicate complex technical findings to a variety of audiences, including those with limited data science experience.</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.</li><li>
Strong consultative and communication skills to represent the team effectively to clients.</li><li>
Ability to work autonomously in fully remote, flexible client environments.</li><li>
Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields.</li><li>
Experience applying advanced statistical concepts and data science workflows to real-world data, including out-of-sample validation for various model types, sampling considerations, bias detection, handling missing or outlying data, and robust exploratory analysis.</li><li>
Understanding of the data analytics lifecycle (e.g., CRISP-DM).</li></ul></div>

Data Scientist

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