data science engineer

Dalfen Industrial

<div>
 Dalfen is seeking an Entry Level Applied AI &amp; Data Science Engineer to help build AI-powered tools, analytics solutions, and automation workflows that transform how the firm captures information, analyzes data, and makes decisions. Reporting to the VP, Data Product &amp; Business Solutions, this role will work across Investments, Asset Management, Leasing, Property Management, Accounting, Capital Markets, and Portfolio Management to turn data into practical business applications and AI-enabled workflows.
 
 
 
 Position Responsibilities
 
 
 
 <ul>
 <li>
 Build AI-enabled tools, copilots, workflows, and internal applications using Azure OpenAI, Microsoft Copilot Studio, Python, APIs, document AI, retrieval-augmented generation (RAG), vector search, and agent frameworks. Develop solutions such as lease abstraction assistants, due diligence summarization tools, IC memo support, portfolio Q&amp;A assistants, vendor onboarding automation, and internal knowledge systems.
 </li>
 <li>
 Apply applied data science techniques to analyze portfolio and operational data, including regression analysis, forecasting, time-series analysis, scenario modeling, sensitivity analysis, and predictive modeling to uncover business insights and risks.
 </li>
 <li>
 Develop lightweight business applications including internal web tools, workflow portals, data collection systems, decision support tools, automation workflows, and analytical dashboards through rapid prototyping and iteration.
 </li>
 <li>
 Partner directly with business stakeholders to understand workflows, identify pain points, translate needs into technical solutions, gather feedback, and drive adoption of tools into daily operations.
 </li>
 <li>
 Support decision-making across investments, asset management, and operations by analyzing performance drivers, market trends, leasing patterns, tenant behavior, and asset-level performance metrics.
 </li>
 <li>
 Build and iterate quickly on AI, automation, and analytics solutions with a focus on measurable business impact, adoption, and reduction in manual work.
 
 
 </li>
 </ul>
 
 Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong proficiency in Python, SQL, APIs, data analysis, and statistical modeling. Experience with machine learning fundamentals, data visualization, and AI/LLM platforms.
 </li>
 <li>
 Familiarity with Azure, OpenAI, Anthropic, Power Platform, Snowflake, Postgres, Git, and modern cloud/data tools.
 </li>
 <li>
 Strong understanding of statistical methods including regression analysis, hypothesis testing, forecasting, time-series modeling, scenario analysis, and Monte Carlo simulation.
 </li>
 <li>
 Ability to build AI-enabled workflows, automation tools, and lightweight applications using modern development frameworks and APIs.
 </li>
 <li>
 Strong communication skills with the ability to translate technical concepts into business language and influence decision-making.
 </li>
 <li>
 High ownership mindset with strong curiosity, intellectual humility, and ability to operate in ambiguous environments.
 </li>
 <li>
 Comfort working directly with business users and iterating quickly based on feedback.
 
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 Dalfen Industrial is one of the largest privately held industrial real estate owner, operator, and developer platforms in North America. The firm manages over 35 million square feet across its portfolio, has completed over $7.8 billion in transactions, and operates across 9 offices.
 
 
 Dalfen is a vertically integrated platform focused on industrial real estate, with a strong track record of growth, execution, and operational scale. The organization is actively building a modern AI-enabled operating platform to transform how the business uses data, automation, and analytics across all functions.
 
 
 For additional information, please visit www.dalfen.com.
</div>

Applied AI & Data Science Engineer

MiniMed

<div>We anticipate the application window for this opening will close on - 7 Jul 2026
At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
<h1 class="jobSectionHeader">About the Role
</h1>This AI/Data Science Engineer II role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with applied data science to enable smarter product design decisions and robust quality reporting and investigation support. The ideal candidate combines deep SQL expertise, proficiency in modern data warehouse technologies, and strong Python-based data analysis skills, along with a growing interest in AI-augmented development tools.
Responsibilities may include the following and other duties may be assigned.
<ul><li>Partner with engineers and scientists to design and deliver analytical models, dashboards, and data pipelines that translate complex product datasets into actionable insights supporting product design decisions
</li><li>Design, build, and optimize SQL-based queries and data models across large-scale relational and cloud data warehouse environments, including ETL/ELT pipeline development and maintenance
</li><li>Apply Python-based data analysis and visualization tools (pandas, matplotlib, seaborn, plotly , etc.) to develop scalable, reusable analytical solutions
</li><li>Explore and integrate AI-assisted development tools (e.g., Windsurf, GitHub Copilot) to improve development velocity and code quality, and prototype machine learning models to support predictive analytics use cases.
</li><li>Communicate findings clearly to both technical and non-technical stakeholders through polished visualizations, reports, and presentations.
</li><li>Contribute to data infrastructure strategy , including schema design, data governance, and warehouse performance
</li></ul>Required Knowledge and Experience:
 
Requires a Bachelor's Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.
Preferred Qualifications:
<div><ul><li>Education: Bachelor's degree in Data Science , Computer Science, Engineering, Statistics, or related field
</li></ul></div><div><ul><li>Experience: 3 - 5 years ( 1-3 years if master&rsquo;s degree) of hands-on experience deriving insights and driving decisions from large, complex datasets
</li></ul></div><div><ul><li>SQL: Advanced proficiency - complex joins, window functions, CTEs, query optimization
</li></ul></div><div><ul><li>Data Warehousing: Hands-on experience with platforms such as Snowflake, Databricks, BigQuery , Redshift, or Azure Synapse
</li></ul></div><div><ul><li>Python: Proficient in pandas, NumPy, and data visualization libraries (matplotlib, seaborn, plotly )
</li></ul></div><div><ul><li>Statistics: Solid working knowledge of foundational statistical concepts - hypothesis testing, distributions, regression, and sampling methods - applied to real-world product and quality datasets
</li></ul></div><div><ul><li>Communication: Ability to translate technical findings into clear, actionable insights for cross-functional audiences
</li></ul></div><div><ul><li>Data Pipelines: Familiarity with ETL/ELT workflows and pipeline tooling
</li></ul></div><div><ul><li>Cloud: Experience with cloud platforms (AWS, Azure, GCP) in a data context
</li></ul></div><div><ul><li>MedTech / Healthcare: Experience or genuine interest in medical technology, clinical studies, or healthcare data - strongly preferred
</li></ul></div><div><ul><li>Data Storytelling: A passion for turning complex data into compelling narratives that drive action - strongly preferred
</li></ul></div><div><ul><li>Advanced Statistics: Familiarity with advanced statistical techniques such as multivariate analysis, survival analysis, or statistical process control (SPC)
</li></ul></div><div><ul><li>AI Dev Tools: Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
</li></ul></div><div><ul><li>ML/Modeling: Familiarity with scikit-learn or similar ML frameworks for classification, regression, or anomaly detection
</li></ul></div><div><ul><li>BI Tools: Experience with Power BI, Tableau, or similar dashboard/reporting platforms
</li></ul></div><h1 class="jobSectionHeader">Physical Job Requirements
</h1>The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
<h1 class="jobSectionHeader">Benefits &amp; Compensation
</h1>MiniMed offers a competitive salary and flexible benefits package
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.
Salary ranges for U.S (excl. PR) locations (USD):$87,000.00 - $149,000.00
<div>For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $ 87,000.00 - $149,000.00 USD.
</div><div>Actual compensation may vary based on factors including experience, education, certifications, skills, market conditions, internal equity, and geographic location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). 
</div> 
This position is eligible for a short-term incentive called the Short Term Incentive (STI).
At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account. In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program. Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements. Please note that &ldquo;regular employees&rdquo; refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.
For further details about our comprehensive benefits, we encourage you to visit the link below.
MiniMed Benefits Overview
<h1 class="jobSectionHeader">About MiniMed
</h1>MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey &mdash; when and how they need it. For more than 40 years, we&rsquo;ve been committed to redefining what&rsquo;s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it&rsquo;s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes. 
Learn more about our business, and our mission here . 
It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities. 
If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</div>

AI/Data Science Engineer II

CapTech

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 </li>
 </ul>
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Machine Learning / Data Science Engineer

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Cummins Europe

<div>
 We are looking for an enthusiastic Data Science Engineer to join our team specializing in Engineering for our Cummins Components &amp; Software in Huddersfield, West Yorkshire. During your apprenticeship with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!
 
 
 
 Summary Of The Course
 
 
 
 The Data Science Degree Apprentice role is a developmental position within the Technical Planning department in the Engineering function. During the apprenticeship you will work 5 days per week, inclusive of 1 day per week for study at University Academy 92 (UA92) in Manchester. The working hours are 37.5h/w 8:30am-4:30pm core hours with flexibility to suit business needs. On completion of this apprenticeship, you will obtain a Level 6 Data Scientist Apprenticeship, with Integrated BSc Hons Data Science.
 
 
 
 Skills
 
 
 
 You will study part-time at University Academy 92 (UA92) in Old Trafford, Manchester covering a broad range of knowledge and skills including :
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 Data Visualisation and Dashboarding
 
 
 </li>
 </ul>
 This 36-42 month Level 6 Data Scientist Apprenticeship gives learners essential skills to succeed in a modern data-driven workplace. Developing a powerful combination of statistical analysis techniques, programming skills and domain expertise, unlocking meaningful insights from complex datasets and driving impactful, data-driven decisions within an organisation.
 
 
 Apprentices attend weekly learning sessions and build a professional portfolio, showcasing workplace examples that evidence key knowledge, skills and behaviours (KSBs). Learners will have the opportunity to participate in industry masterclasses and professional development, enhancing their knowledge and skills beyond the apprenticeship. By completion, learners will be fully prepared for their Apprentice Assessment, equipped with practical experience to confidently demonstrate their abilities.
 
 
 In this role, you will make an impact in the following ways:
 
 
 <ul>
 <li>
 Extraction, interpretation and presentation of emerging data
 </li>
 <li>
 Development of Power BI reports to showcase patterns, trends and issues
 </li>
 <li>
 Use of accumulated data to develop machine learning models for improved future accuracy
 </li>
 <li>
 Collaboration with wider Performance, Analysis and Advanced Engineering teams to support machine learning initiatives and explorations
 </li>
 <li>
 Support communication with global stakeholders, presenting learnings and insights
 </li>
 <li>
 Autonomous, enthusiastic, proactive and self-motivated with good communication skills, an enjoyment of problem-solving and keenness in looking for innovative solutions
 
 
 </li>
 </ul>
 To be successful in this role you will need the following:
 
 
 <ul>
 <li>
 3 A-levels (or equivalent) : grade C or above (A level in Computer Science or IT is desirable)
 </li>
 <li>
 GCSEs including Math&rsquo;s/Science at Grade 5/B, 4 other subjects at 4/C or above.
 </li>
 <li>
 Minimum 104 UCAS points are needed, this is essential
 </li>
 <li>
 A genuine interest in Data Science or related fields.
 </li>
 <li>
 Must have been a UK resident/citizen for 3 years or above
 
 
 </li>
 </ul>
 
 Why Cummins
 
 
 
 As an apprentice at Cummins, you will have the chance to develop your skills and knowledge in a supportive and dynamic environment. Our program is designed to provide a comprehensive learning experience that prepares you for a successful career in the industry.
 
 
 
 Job
 
 Engineering
 
 
 
 Organization
 
 Cummins Inc.
 
 
 
 Role Category
 
 On-site with Flexibility
 
 
 
 Job Type
 
 Apprenticeship
 
 
 
 ReqID
 
 2428693
 
 
 
 Relocation Package
 
 No
 
 
 
 100% On-Site
 
 No
</div>

Degree Apprenticeship - Data Scientist Level 6

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