data science consultant

Codvo.ai

<div><div><div><p><b>Data Scientist Consultant (Category &ndash; Senior Engineer)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Department: Digital Transformation</b></p><p><b>
Reporting To: Head of Digital Intelligence</b></p><p><b>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><p></p><p><b><br>
Job Description</b></p><p>
The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.</p><p><b>
Key Responsibilities</b></p><ul><li>Identify and support analytics and AI use cases aligned with business and conceptualization priorities.</li><li>Engage stakeholders to gather requirements and translate business needs into analytical problem statements.</li><li>Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.</li><li>Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.</li><li>Design dashboards and performance reporting frameworks to support decision-making.</li><li>Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.</li><li>Collaborate with data engineers and product teams to deploy scalable analytics solutions.</li><li>Present insights and recommendations to both technical teams and business leadership.</li></ul><p><b>
Required Skills and Qualifications</b></p><ul><li>+6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.</li><li>Strong proficiency in Python, SQL, and Power BI or similar visualization tools.</li><li>Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).</li><li>Strong analytical thinking and structured problem-solving skills.</li><li>Experience in requirements gathering, stakeholder engagement, and business case development.</li><li>Ability to communicate complex analytical findings in clear business terms.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>Experience in Oil &amp; Gas, energy, or industrial analytics environments.</li><li>Familiarity with enterprise data platforms such as Azure or Databricks.</li><li>Knowledge of Agile delivery frameworks.</li><li>Certification in Data Analytics, Business Analysis, or Data Science preferred.</li></ul><p></p><p><br>
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered</p></div></div></div><p></p>

Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar

Tiger Analytics

<div><p>Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.</p><p>
We are looking for someone with a good blend of business consulting skills and data analytics background.
</p><p><b>Responsibilities:</b></p><br>
<ul><li>
Work on automating workflows across domains like Operations and Finance using AI agents.</li><li>
The role involves collaborating with business teams to create deterministic process maps, identify guardrails, and define subprocesses.
</li><li>Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Work on the latest applications of data science to solve business problems</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally</li></ul><ul><li>
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
6-10 years of professional work experience with at least 5 years in data analytics
</li><li>Require a consultant with strong BPMN modeling skills and Camunda experience.</li><li>
The candidate must have excellent communication and consulting skills.
</li><li>Knowledge of or experience with agentic projects will be a plus.</li><li>
Operations and Finance domain experience will be a plus.
</li><li>Ability to engage with executive/VP level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python &amp; visualization tools like Qlik or Tableau</li><li>
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Graduate in Business Analytics or MBA or equivalent work experience</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</p><p></p><p><b><i>
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div>

Manager/ Sr. Manager - (Camunda BPMN)

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Florida</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior Data Analytics Consultant / Data Scientist</b></p>
<p><b>
ML Engineer I</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior Data Analytics Consultant / Data Scientist to join our IT services and digital transformation team. This role focuses on advanced data analytics, machine learning, and predictive modeling to support enterprise clients in optimizing operations, improving system performance, and enabling data-driven decision-making.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Data Analytics &amp; Data Science</li></ul>
<ul><li> Analyze large, complex datasets to identify trends, anomalies, and opportunities for operational optimization.</li></ul>
<ul><li> Develop predictive models and machine learning solutions to forecast demand, detect anomalies, and improve system performance.</li></ul>
<ul><li> Apply advanced analytics techniques including:</li></ul>
<ul><li> Time series forecasting</li></ul>
<ul><li> Statistical modeling</li></ul>
<ul><li> Machine learning and AI algorithms</li></ul>
<ul><li> Exploratory data analysis</li></ul>
<ul><li> Perform data mining and feature engineering to extract meaningful insights from structured and unstructured data.</li></ul>
<ul><li> Data Engineering &amp; Data Management</li></ul>
<ul><li> Extract, clean, and transform data using Python, SQL, R, and cloud-based data platforms.</li></ul>
<ul><li> Integrate multiple data sources into unified analytics environments to support enterprise reporting and decision-making.</li></ul>
<ul><li> Ensure data integrity, quality, and governance across analytical workflows.</li></ul>
<ul><li> Data Visualization &amp; Reporting</li></ul>
<ul><li> Develop automated dashboards and reporting solutions using tools such as Tableau, Excel, or custom visualization platforms.</li></ul>
<ul><li> Present insights through clear visualizations and executive-level reports.</li></ul>
<ul><li> Communicate complex analytical findings to both technical and non-technical stakeholders.</li></ul>
<ul><li> Business &amp; Strategic Analytics</li></ul>
<ul><li> Translate data insights into actionable business recommendations.</li></ul>
<ul><li> Support strategic planning by forecasting trends and identifying high-impact optimization opportunities.</li></ul>
<ul><li> Collaborate with business teams to define analytics use cases and KPIs aligned with organizational goals.</li></ul>
<ul><li> Consulting &amp; Client Engagement</li></ul>
<ul><li> Partner with cross-functional teams including engineering, product, and operations to implement analytics solutions.</li></ul>
<ul><li> Facilitate technical workshops and presentations with stakeholders and executive leadership.</li></ul>
<ul><li> Provide subject matter expertise on AI, machine learning, and advanced analytics applications.</li></ul>
<ul><li> Leadership &amp; Collaboration</li></ul>
<ul><li> Lead analytics initiatives and mentor junior analysts or engineers.</li></ul>
<ul><li> Coordinate cross-functional projects and ensure timely delivery of analytics solutions.</li></ul>
<ul><li> Promote best practices in data science, statistical analysis, and data visualization.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need:</b></p>
<ul><li> Education:</li></ul>
<ul><li> Master&rsquo;s Degree in Computer Science, Data Science, Statistics, or related field</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Programming: Python, R</li></ul>
<ul><li> Data Analytics: Machine Learning, Deep Learning, Statistical Modeling</li></ul>
<ul><li> Data Analysis: Exploratory Data Analysis, Data Mining, Text Mining</li></ul>
<ul><li> Forecasting: Time Series Analysis</li></ul>
<ul><li> Data Visualization: Tableau, R Shiny, dashboards</li></ul>
<ul><li> Cloud Platforms: Google Cloud</li></ul>
<ul><li> Big Data and advanced analytics tools</li></ul>
<ul><li> Analytical Expertise</li></ul>
<ul><li> Predictive modeling and AI solutions</li></ul>
<ul><li> Statistical analysis and hypothesis testing</li></ul>
<ul><li> Large-scale data processing and analytics</li></ul>
<ul><li> KPI monitoring and operational performance analytics</li></ul>
<ul><li> Professional Skills:</li></ul>
<ul><li> Strong problem-solving and analytical thinking</li></ul>
<ul><li> Ability to communicate complex data insights clearly</li></ul>
<ul><li> Experience presenting to senior leadership</li></ul>
<ul><li> Leadership and team coordination experience</li></ul>
<ul><li> Preferred Qualifications:</li></ul>
<ul><li> Experience working with large-scale operational or telecom datasets</li></ul>
<ul><li> Experience with network analytics, performance optimization, or system telemetry data</li></ul>
<ul><li> Experience with data-driven system optimization and capacity planning</li></ul>
<ul><li> Familiarity with multi-source data integration and analytics platforms</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Florida</b></p>
<p><b>
Compensation Range</b>: $72,000-$108,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-SM4
</div></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>ai agent,ai agent orchestration,data preprocessing,statistical modeling,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 72,000.00 to 108,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior Data Analytics Consultant / Data Scientist

Microsoft

<div><b>Overview</b><div><p><br>
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!<br>
<br>
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.</p></div><div><p><br>
</p></div><div><p>We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.</p></div><div><p><br>
</p></div><div><p>We are hiring a <b>Senior Data Scientist </b>to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.</p></div><p></p><div><p><br>
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.</p></div><div><p><br>
</p></div><div><p>Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div><b><br>
Responsibilities</b><div><ul><li><p><br>
You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.</p></li></ul></div><div><ul><li><p>
You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.</p></li></ul></div><div><ul><li><p>
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.</p></li></ul></div><div><ul><li><p>
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.</p></li></ul></div><div><ul><li><p>
You will embody our culture and values.</p></li></ul></div><b><br>
Qualifications</b><br>
<div><div><b>
Required/minimum qualifications</b></div><div><div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li></ul><p><b>
Other Requirements</b></p><ul><li>
Microsoft is unable to sponsor a work visa for this role due to the nature of the role&rsquo;s job duties.</li></ul></div><div><b>
Additional or preferred qualifications</b><div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li><li>
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li></ul></div></div></div><p></p><div><p><br>
#ISEngineering</p></div></div><div><p>
#WSS</p></div><br>
<br>
<br>
<p>Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Senior Data Scientist

SDG Group

<div><p><b>Job Title: </b>Senior Data Scientist</p><p><b>
Location: </b>Hybrid (Chicago, IL or New York City, NY)</p><p><b>
Job Type: </b>Full-Time</p><p></p><p><b><br>
About SDG Consulting </b>SDG Consulting is a global consulting firm specialized in Data &amp; Analytics. We are committed to unlocking organizations&rsquo; potential by offering in-depth analytics expertise that empowers our clients to become successful data-driven enterprises. Our mission is to help clients define, design, and implement transformative AI technologies to gain a sustainable competitive advantage. We help reinvent core operations, deliver hyper-personalized customer experiences, and create new AI-powered business models that drive enduring growth.</p><p><b>
Position Overview</b></p><p>
As a Senior Data Scientist, you will play a highly visible and critical role bridging the gap between advanced technical execution and business strategy. You will be responsible for navigating and optimizing production codebases, with a strong emphasis on Recommendation Engines.</p><p>
This is a senior-level position that requires an independent, highly experienced professional who requires minimal supervision. Beyond technical development, you will be heavily involved in leading deployment and change management, acting as a key communicator and trusted advisor to business stakeholders, particularly sales teams.</p><p><b>
Key Responsibilities</b></p><ul><li><p><b>
Deployment &amp; Change Management: </b>Lead the deployment of data science solutions and drive change management initiatives, working hand-in-hand with sales teams to ensure successful adoption.</p></li><li><p><b>
Production Code Mastery: </b>Quickly pick up, understand, and navigate existing production codebases to optimize and scale models efficiently.</p></li><li><p><b>
Recommendation Engines: </b>Design, refine, and implement advanced Recommendation Engines tailored to business needs.</p></li><li><p><b>
Stakeholder Communication: </b>Act as a strategic liaison to the business, translating complex data science concepts into actionable insights for non-technical audiences, particularly sales professionals.</p></li><li><p><b>
Presentation Excellence: </b>Create high-quality, executive-level presentations (PPT) and deliver them with confidence and clarity.</p></li><li><p><b>
Independent Execution: </b>Take full ownership of your workstreams, driving projects forward proactively and with minimal hand-holding.</p></li><li><p><b>
Experimentation (Bonus): </b>Design and execute A/B testing frameworks to measure model effectiveness and business impact.</p></li></ul><p><b>
Qualifications</b></p><ul><li><p><b>
Experience Level: </b>Highly experienced Data Scientist; this is a senior role and is not suitable for junior or entry-level candidates.</p></li><li><p><b>
Location: </b>Must be based in or willing to commute to Chicago, IL or New York City, NY.</p></li><li><p><b>
Core Technical Skills: </b>Highly skilled Python programmer with deep expertise in Recommendation Engines.</p></li><li><p><b>
Preferred Technologies: </b>Hands-on experience with PySpark and Databricks is strongly preferred.</p></li><li><p><b>
Communication Skills: </b>Exceptional presentation and PPT skills; native-level or highly fluent English proficiency is required to effectively influence and align with US-based business stakeholders.</p></li><li><p><b>
Industry Experience: </b>Previous consulting or industry experience with Spirits or Retail clients is a major plus.</p></li><li><p><b>
Project Management (Bonus): </b>Formal project management skills or certifications (e.g., PMP, Six Sigma Black Belt) are highly desirable.</p></li></ul><p><b>
What We Offer</b></p><ul><li><p><b>
Stability and Growth: </b>Full-time employment in a growing high-tech industry with a meritocratic culture that provides opportunities for professional growth.</p></li><li><p><b>
Competitive Compensation: </b>A competitive salary and a 401(k) retirement plan with an employer match.</p></li><li><p><b>
Comprehensive Benefits: </b>Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.</p></li><li><p><b>
Work-Life Balance: </b>3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.</p></li><li><p><b>
Supportive Community: </b>A welcoming, collaborative, and inclusive culture where you can learn from exceptional professionals and make a significant impact.</p></li></ul></div><p></p>

Guidehouse

<div><p>Job Family:</p>
Data Science Consulting<p><br>
Travel Required:</p>
Up to 10%<p><br>
Clearance Required:</p>
None<p>
What You Will Do:</p><p>
Guidehouse is seeking a Databricks Apps Developer to support the AI &amp; Data practice in designing and building interactive prototype solutions, demos, and reusable accelerators for the Databricks Center of Excellence (CoE). This role focuses on front-end development, user‑centric workflow design, and integration with modern Databricks features (such as Genie, AI/BI dashboards, Delta Live Tables, and Databricks Model Serving) to create compelling internal assets that showcase Guidehouse&rsquo;s technical capabilities.</p><p>
This is an exciting opportunity for someone who enjoys rapid prototyping, interface design, and hands-on development in a highly collaborative environment. This position is dedicated to internal innovation, developing reusable tools that strengthen Guidehouse&rsquo;s market offerings and support pursuit teams across our segments.</p><p>
Innovation &amp; Solution Development</p><ul><li>
Design and develop React-based user interfaces and interactive front-end components for data and AI prototype applications.</li><li>
Integrate Databricks capabilities, including Genie, AI/BI dashboards, Unity Catalog, MLflow, Delta tables, and REST APIs, into user-facing demo workflows.</li><li>
Build intuitive, well‑structured user experiences that highlight technical capabilities in client-ready demos and internal accelerators.</li><li>
Document front-end architecture and design patterns for repeatability.</li><li>
Collaborate on cross-functional teams to rapidly prototype and iterate on solutions, incorporating feedback from demo cycles to refine UX and functionality.</li><li>
Translate stakeholder goals into actionable user stories and acceptance criteria to guide front-end feature development.</li><li>
Integrate AI/LLM features via secure APIs and Databricks model-serving endpoints to enable prompt-driven or context-enriched UI flows.</li><li>
Develop reusable UI components, scaffolding, and templates to accelerate build-out of future prototypes.</li><li>
Contribute to internal frameworks that standardize demo environments, code structure, and deployment patterns across the practice.</li></ul><p>
Internal Collaboration &amp; Team Enablement</p><ul><li>
Partner closely with AI &amp; Data practice leaders to shape prototype application requirements and design prototype architectures aligned to go-to-market needs.</li><li>
Work with cross-functional teams of data scientists and data engineers to connect UI features to underlying Databricks capabilities (DLT, Workflows, Model Serving).</li><li>
Participate in Agile ceremonies (backlog refinement, sprint planning, reviews, retrospectives) and clearly communicate UI progress, risks, and dependencies.</li><li>
Support Go‑to‑Market (GTM) efforts by contributing demo scripts, pitch-ready UX workflows, and reusable assets for proposal teams.</li><li>
Share best practices, design guidance, and sample code with broader Guidehouse teams to promote internal capability uplift.</li><li>
Maintain organized backlogs, sprint documentation, and technical notes using Jira and Confluence.</li><li>
Support requirements gathering efforts to translate internal stakeholder and business needs into user stories to guide prototype application development.</li><li>
Mentor junior team members and contribute to reusable frameworks and accelerators.</li><li>
Contribute to thought leadership, business development, and best practice development across the AI &amp; Data team.</li></ul><p><br>
What You Will Need:</p><ul><li>
US Citizenship is required.</li><li>
Bachelor&rsquo;s degree in computer science, engineering, information systems, or a related field.</li><li>
Minimum THREE (3) years of experience in front-end software development.</li><li>
Strong proficiency in React, Typescript/Javascript, HTML/CSS, and UI state management frameworks.</li><li>
Experience integrating front-end applications with REST APIs, serverless endpoints, or cloud-hosted microservices.</li><li>
Experience with Databricks capabilities such as Unity Catalog, Delta Live Tables, Model Serving endpoints, AI/BI dashboards, and Genie</li><li>
Proficiency with Git-based version control and modern development workflows.</li><li>
Ability to design intuitive user experiences and translate abstract concepts into polished UI workflows.</li><li>
Excellent communication, facilitation, and stakeholder engagement skills, including the ability to explain technical application configurations to non-technical audiences.</li></ul><p><br>
What Would Be Nice To Have:</p><ul><li>
Master&rsquo;s degree in computer science, engineering, mathematics, statistics, or a related technical field.</li><li>
FIVE (5) years of experience in application development.</li><li>
Demonstrated success developing and deploying React-based Databricks Apps.</li><li>
Experience building data- or AI-driven applications.</li><li>
Experience supporting product lifecycle activities, market analysis, or roadmap planning for AI and data products.</li><li>
Familiarity with Python, SQL, and cloud functions to support lightweight back-end/API development.</li><li>
Understanding of UX design concepts, wireframing, or rapid prototyping tools (Figma, Miro, etc.).</li><li>
Familiarity with Agile practices and Atlassian tools (Jira, Confluence).</li><li>
Familiarity with Databricks workspace configuration and administration.</li><li>
Active Databricks certifications strongly preferred.</li><li>
Prior experience in consulting or a client-facing role preferred.</li><li>
Familiarity with federal contracting and procurement processes.</li></ul><p><br>
What We Offer:</p><p>
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.</p><p>
Benefits include:</p><ul><li><p>
Medical, Rx, Dental &amp; Vision Insurance</p></li><li><p>
Personal and Family Sick Time &amp; Company Paid Holidays</p></li><li><p>
Position may be eligible for a discretionary variable incentive bonus</p></li><li><p>
Parental Leave and Adoption Assistance</p></li><li><p>
401(k) Retirement Plan</p></li><li><p>
Basic Life &amp; Supplemental Life</p></li><li><p>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</p></li><li><p>
Short-Term &amp; Long-Term Disability</p></li><li><p>
Student Loan PayDown</p></li><li><p>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</p></li><li><p>
Skills Development &amp; Certifications</p></li><li><p>
Employee Referral Program</p></li><li><p>
Corporate Sponsored Events &amp; Community Outreach</p></li><li><p>
Emergency Back-Up Childcare Program</p></li><li><p>
Mobility Stipend</p></li></ul><p>
About Guidehouse</p><p>
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.</p><p>
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.</p><p>
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.</p><p>
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.</p><p>
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.</p><p>
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

Databricks Apps Developer

<div><b>Data Scientist &ndash; Machine Learning &amp; Predictive Analytics</b><br>
<br>
<b>About the Role</b><p>
RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience. We&rsquo;re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact.</p><p>
In this role, you&rsquo;ll work closely with clients to explore data, build predictive models, and bring those solutions into production. You&rsquo;ll operate at the intersection of hands-on development and client collaboration, contributing to both delivery and early-stage solutioning in a consulting environment.</p><b>
Location</b><br>
Remote. We&rsquo;re interested in candidates based in Eastern or Central Time Zones, as collaboration happens primarily during EST hours.<br>
<br>
<b>What You&rsquo;ll Do</b><ul><li>
Analyze client data to identify trends, correlations, anomalies, and predictive opportunities</li><li>
Build, train, evaluate, and deploy machine learning models across a variety of use cases</li><li>
Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance</li><li>
Prepare and process data for modeling, including cleaning, transformation, and feature engineering</li><li>
Integrate ML solutions into client systems in partnership with engineering teams</li><li>
Monitor models for drift, bias, and accuracy over time and adjust as needed</li><li>
Present insights and recommendations to business stakeholders in a clear, compelling way</li><li>
Participate in discovery sessions to understand client objectives and data landscapes</li><li>
Support sales and pre-sales by helping scope machine learning opportunities</li><li>
Collaborate with cross-functional RDA project teams throughout implementation cycles</li></ul><b>
Required Qualifications</b><ul><li>
3&ndash;8+ years of hands-on experience in machine learning (including model selection, training, tuning, evaluation, and deployment in production environments</li><li>
Strong Python Expertise with common ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)</li><li>
Solid foundation in statistical modeling and predictive analytics, including experience with data wrangling and feature engineering</li><li>
Hands-on experience with Microsoft Azure ML Studio and Microsoft Fabric</li><li>
Experience building and deploying ML solutions in cloud environments and working across diverse business domains</li><li>
Bachelor&rsquo;s degree in a related field or equivalent practical experience</li><li>
Helpful skills include consulting background; data visualization experience; and LLM-based or AI agent solution experience</li></ul><b>
Why Join RDA?</b><br>
If you enjoy solving open-ended business problems with data and working directly with stakeholders to shape solutions, this role offers the opportunity to make a real impact. You&rsquo;ll work across a variety of domains, explore new datasets, and bring clarity to complex challenges, applying machine learning in ways that move ideas from concept into production.<br>
<p>
</p><p>VkDf1CpvQJ</p></div>

Data Scientist

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