machine learning lead

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AI LEAD L1
</div></div></div></div><div><div><div><div>City: Minneapolis
</div></div></div></div><div><div><div><div>State/Province: Minnesota
</div></div></div></div><div><div><div><div>Posting Start Date: 3/19/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>AI LEAD L1
</b></h2></div><div><ul><li>5+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly and significant focus on building and deploying production-grade AI/ML models and systems
</li><li>LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI
</li><li>Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code
</li><li><ul><li>Familiarity and hands-on experience with relevant technologies/frameworks like Databricks, Azure AI, Azure Transcription Services, , RLlib (Agent Model), PyTorch(State Model), Open AI, GCP
</li><li>backend services(e.g., Node.js/Next.js/Java/Serverless),
</li><li>CI/CD pipelines, REST/WebSocket API development, and database technologies.
</li><li>Solid programming skills in Python, with experience in pandas, numpy, and SQL, proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
</li></ul></li><li>Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization &amp; Recommendation systems, and/or Anomaly Detection
</li><li>Adaptability &amp; Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity
</li><li>Ownership &amp; Drive: Self-driven, takes immense pride in technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
</li></ul></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: AI Cognitive .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $135,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

AI LEAD L1

International

<div>Position Overview:
<div>
The <b>AI and Data Science Lead</b> will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization&rsquo;s AI and Data Science function, working closely with business partners to identify and evaluate new opportunities, develop scalable solutions, and strengthen enterprise AI/ML and data science capabilities.</div><div><br>
This leader will oversee a growing team of AI/ML developers and data scientists and will play a key role in shaping the strategic direction of AI across the organization. The position will focus equally on <b>building and scaling the data science practice and leading a high-performing team</b>, partnering with adjacent functions such as data engineering, insights and BI, data governance, and data/enterprise architecture to deliver impactful, data-driven solutions.</div><div><br>
As International continues to develop its <b>AI Center of Excellence</b>, this role offers the opportunity to help define and advance the organization&rsquo;s AI strategy and capabilities.</div>
Responsibilities:
<ul><li>Lead and evolve the organization&rsquo;s <b>Data Science AI/ML function</b>, including strategy, execution, and team development.</li><li>
Contribute to building International&rsquo;s <b>AI Center of Excellence</b>, helping define the roadmap and long-term capability strategy.</li><li>
Manage and mentor a small team of AI/ML developers and data scientists with plans to grow the function over time.</li><li>
Establish best practices, governance, and standards for <b>AI development and deployment</b> across the organization.</li><li>
Partner with business leaders to identify, evaluate, and prioritize new opportunities that deliver measurable business value.</li><li><b>
Design and implement scalable AI and machine learning solutions</b> that support enterprise initiatives.</li><li>
Improve and operationalize intake and evaluation process to ensure the right projects are prioritized and executed.</li><li>
Collaborate with cross-functional business teams including</li><li>
Production and Logistics, Research and Development, IT,</li><li>
Finance, Procurement, HR, etc. to deliver cross-functional solutions.</li><li>
Translate complex analytical insights into clear executive-level messaging and recommendations.</li></ul>
Minimum Requirements:
<ul><li>Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 11 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 9 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 7 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul>
Additional Requirements:
<ul><li>Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)</li></ul>
Desired Skills:
<ul><li>Advanced degree (Master&rsquo;s or PhD) in <b>Computer Science, Data Science, Machine Learning, Statistics, Engineering, Economics, or a related quantitative field</b>.</li><li>
Experience in data science, machine learning, or AI, including experience leading and scaling teams or practices.</li><li>
Demonstrated success <b>building, leading, and advancing enterprise data science or AI/ML capabilities</b>.</li><li>
Strong experience and familiarity with modern AI, data science, machine learning tooling.</li><li>
Demonstrated experience understanding and helping <b>shape technology and architecture</b> selection to advance organizational AI.</li><li>
Experience developing and <b>executing AI/ML strategy within complex organizations</b>.</li></ul>
Benefits and Compensation:
<p>
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.<br>
<br>
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.</p>
Company Overview:
<div><b>ABOUT</b><b> </b><b>TRATON</b></div><div>
With its brands Scania, MAN, International, and Volkswagen Truck &amp; Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world&rsquo;s leading commercial vehicle manufacturers. The Group&rsquo;s product portfolio comprises trucks, buses, and light-duty commercial vehicles. &ldquo;Transforming Transportation Together. For a sustainable world.&rdquo;: this intention underlines the Company&rsquo;s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group&rsquo;s commercial growth.</div><div></div><div><b><br>
ABOUT INTERNATIONAL</b><br>
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International&reg; trucks and engines and IC Bus&reg; school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite&reg; aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck &amp; Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit www.International.com.</div><div></div><ul><li><br>
International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.</li></ul>
EEO Statement:
<div>
We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div><div><br>
If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@International.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.</div>
Job Posting: #LI-Onsite, #LI-POST</div>

AI and Data Science Lead

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AI LEAD L1(CONTRACT)
</div></div></div></div><div><div><div><div>City: Minneapolis
</div></div></div></div><div><div><div><div>State/Province: Minnesota
</div></div></div></div><div><div><div><div>Posting Start Date: 3/19/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>AI LEAD L1
</b></h2></div><div><ul><li>5+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly and significant focus on building and deploying production-grade AI/ML models and systems
</li><li>LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI
</li><li>Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code
</li><li>Technical Breadth:
</li><li><ul><li>Familiarity and hands-on experience with relevant technologies/frameworks like Databricks, Azure AI, Azure Transcription Services, , RLlib (Agent Model), PyTorch(State Model), Open AI, GC
</li><li>Solid programming skills in Python, with experience in pandas, numpy, and SQL, proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
</li></ul></li><li>Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization &amp; Recommendation systems, and/or Anomaly Detection
</li><li>Adaptability &amp; Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity
</li><li>Ownership &amp; Drive: Self-driven, takes immense pride in technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
</li><li>Inherent Curiosity: Has a solid desire to understand *how* and *why* things work, driving the &ldquo;what&rdquo; to build better, more efficient systems
</li></ul></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: AI Cognitive .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $135,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

AI LEAD L1(CONTRACT)

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
</p><p>As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p><p>
Job Responsibilities</p><ul>
<li>Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li>
<li>Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li>
<li>Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business<br>
<li>
</li></ul><p>Required qualifications, capabilities, and skills</p><ul>
<li>PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li>
<li>Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li>
<li>Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li>
<li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li>
<li>Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li>
<li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li>
<li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul><p>
Preferred qualifications, capabilities , and skills:</p><ul>
<li>Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li>
<li>Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li>
<li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li>
<li>Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

Deloitte

<div>Our Deloitte Strategy &amp; Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&amp;A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.<br>
<br>
<b>Work You'll Do
</b><br>
<br>
<ul><li>Lead end-to-end predictive modeling efforts: understand the business use case, conduct preliminary analyses, and propose solutions using statistical and machine learning techniques.</li></ul><br>
<ul><li>Validate feasibility quickly through data exploration, proof-of-concept modeling, and clear readouts on what will (and won't) work.</li></ul><br>
<ul><li>Improve model performance and robustness by addressing issues like imbalance, overfitting, and leakage; apply strong analytical reasoning to select appropriate methods.</li></ul><br>
<ul><li>Interpret and explain model outcomes using feature importance, SHAP, and related techniques; share findings for technical review and iteration.</li></ul><br>
<ul><li>Work in a highly collaborative environment with data scientists and leaders across geographies, creating alignment on methods, standards, and delivery milestones.</li></ul><br>
<ul><li>Communicate methodology and results to project leadership and senior management in a way that enables decisions and builds trust.</li></ul><br>
<ul><li>Supervise and develop a team of data scientists: guide data sourcing and preparation across disparate systems; set modeling best practices; raise quality and speed.</li></ul><br>
<ul><li>Mentor team members as a technical and business SME, supporting performance and career growth.</li></ul><br>
<ul><li>Stay current on advances in AI/ML, bringing relevant techniques into the team's toolkit responsibly.</li></ul><br>
<b>
The Team
</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.<br>
<br>
The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve.<br>
<br>
<b>Qualifications
</b><br>
<br>
Required:
<br>
<ul><li>Bachelor's Degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>5+ years predictive modeling</li><li>
2+ years leading a team of data scientists
</li></ul><br>
Preferred:<br>
<ul>
<li>Experience building and deploying models in cloud environments.
</li><li>Hands-on experience with prompt engineering and LLM applications such as RAG
</li><li>Master's degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field (PhD preferred
</li><li>Passion for leading and developing data scientists through mentorship, feedback, and technical guidance.
</li><li>Ability to manage multiple projects and priorities simultaneously.</li></ul><br>
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</div>

Data Scientist - Government & Public Services

IRI Experts Data Analytics & Consulting Ltd.

<p><b>About the Role:</b></p><p>Organizations increasingly rely on data-driven insights to guide strategic decisions, optimize operations, and identify new growth opportunities. <b>IRI Experts Data Analytics &amp; Consulting Ltd.</b> provides advanced data analytics services, business intelligence solutions, and strategic consulting that help organizations transform complex data into actionable insights.</p><p>We are seeking a <b>Director of Data Science &amp; Advanced Analytics Consulting</b> to lead large-scale analytics initiatives and oversee data science consulting engagements. In this leadership role, you will guide data strategy, manage analytics teams, and deliver innovative solutions that support business transformation through advanced analytics and artificial intelligence.</p><p>Working closely with senior consultants, data scientists, and executive stakeholders, you will help organizations unlock the full value of their data and implement scalable analytics platforms.</p><p><b>Why Join Us?</b></p><p><b>Data Innovation Leadership:</b> Lead advanced analytics consulting initiatives for organizations across multiple industries.</p><p><b>High-Impact Consulting Projects:</b> Work on strategic data transformation programs and enterprise analytics platforms.</p><p><b>Cutting-Edge Technologies:</b> Collaborate on projects involving artificial intelligence, machine learning, and predictive analytics.</p><p><b>Expert Analytical Teams:</b> Work with experienced data scientists, analysts, and technology specialists.</p><p><b>Key Responsibilities:</b></p><p>Data Strategy &amp; Analytics Leadership:</p><ul><li>Develop enterprise <b>data strategy and analytics frameworks</b> that support business transformation initiatives</li><li>Lead consulting engagements focused on <b>advanced analytics, business intelligence, and predictive modeling</b></li></ul><p>Data Science &amp; Machine Learning:</p><ul><li>Oversee development of <b>machine learning models, predictive analytics solutions, and AI-driven insights platforms</b></li><li>Guide data science teams in building scalable analytics solutions using modern data technologies</li></ul><p>Business Intelligence &amp; Data Platforms:</p><ul><li>Manage development of <b>data warehouses, analytics dashboards, and enterprise reporting systems</b></li><li>Ensure analytics platforms provide reliable and actionable insights for decision-makers</li></ul><p>Consulting &amp; Client Engagement:</p><ul><li>Work directly with executive stakeholders to identify opportunities for <b>data-driven business improvement</b></li><li>Lead consulting teams delivering analytics solutions across industries including finance, retail, logistics, and technology</li></ul><p>Leadership &amp; Team Development:</p><ul><li>Lead multidisciplinary teams including <b>data scientists, analytics consultants, data engineers, and BI specialists</b></li><li>Promote collaboration, analytical excellence, and continuous learning within analytics teams</li></ul><p><b>What We Are Looking For:</b></p><p>Experience:</p><ul><li>10+ years of experience in <b>data science, advanced analytics consulting, or enterprise data platform leadership</b></li><li>Proven experience managing <b>data analytics teams and large-scale analytics projects</b></li></ul><p>Technical Skills:</p><ul><li>Strong expertise in <b>data science frameworks, machine learning platforms, and advanced analytics technologies</b></li><li>Experience with <b>cloud data platforms such as AWS, Microsoft Azure, or Google Cloud</b></li><li>Familiarity with <b>data visualization tools, business intelligence platforms, and data engineering pipelines</b></li></ul><p>Core Competencies:</p><ul><li>Strategic data leadership and analytical problem-solving</li><li>Strong consulting and stakeholder engagement capabilities</li><li>Excellent communication and cross-functional collaboration skills</li></ul><p>Education:</p><ul><li>Bachelor&rsquo;s degree in <b>Data Science, Computer Science, Statistics, Mathematics, or related field preferred</b></li><li>Master&rsquo;s degree in analytics, artificial intelligence, or data science is highly valued</li></ul><p>Applicants who meet most of the qualifications are encouraged to apply.</p><p>Pay: AED40,000.00 - AED62,000.00 per year</p><p>Work Location: In person</p>

Director of Data Science & Advanced Analytics Consulting

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description</b></h1><p><b>
Job Title:</b> Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)<br>
<b>Project:</b> Demand Planning ML Models Initiative<br>
<b>Role Level:</b> Expert / Principal (Hands-on, Delivery-Focused)<br>
<b>Employment Type:</b> Full-Time<br>
<b>Experience:</b> 7+ Years<br>
<b>Job Location:</b> Remote<br>
<b>Job Timing:</b> Vietnam Time Zone</p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking an <b>Expert Data Scientist</b> with deep hands-on experience in <b>machine learning&ndash;based demand forecasting</b> to support the <b>ANZ Demand Planning ML Models initiative</b>.</p><p>
This role requires a senior practitioner capable of <b>independently designing, developing, and delivering enterprise-grade demand forecasting models</b>. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.</p><h1 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h1><h2 class="jobSectionHeader"><b>
Demand Planning &amp; Forecasting (Core Focus)</b></h2><ul><li><p>
Lead the <b>design, development, and optimization of ML-based demand forecasting models</b>.</p></li><li><p>
Work extensively with <b>time-series datasets related to sales, demand, and supply planning</b>.</p></li><li><p>
Apply and optimize <b>statistical forecasting techniques and machine learning algorithms</b>.</p></li><li><p>
Perform <b>advanced feature engineering</b> incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</p></li><li><p>
Conduct <b>back-testing, validation, and scenario analysis</b> to continuously improve forecast accuracy.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Data Science Leadership &amp; Delivery</b></h2><ul><li><p>
Own the <b>end-to-end data science lifecycle</b>, from data exploration and model development to deployment support.</p></li><li><p>
Define, monitor, and optimize forecasting KPIs including <b>MAPE, RMSE, and MAE</b>.</p></li><li><p>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</p></li><li><p>
Clearly communicate <b>model logic, assumptions, and insights</b> to business and executive stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Collaboration &amp; Execution</b></h2><ul><li><p>
Collaborate closely with <b>Data Engineers, Analytics teams, and business stakeholders</b> to operationalize forecasting models.</p></li><li><p>
Support <b>production deployment, monitoring, and model performance improvements</b>.</p></li><li><p>
Drive <b>knowledge sharing and best practices</b> in forecasting and machine learning across teams.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Required Experience</b></h1><ul><li><p><b>
7+ years</b> of experience in <b>Data Science / Machine Learning</b>.</p></li><li><p><b>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning</b>.</p></li><li><p>
Proven experience delivering <b>production-grade or business-critical forecasting models</b>.</p></li><li><p>
Strong experience working with <b>enterprise-scale time-series datasets</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Technical Skills</b></h1><ul><li><p>
Advanced <b>Python for Data Science and Machine Learning</b>.</p></li><li><p>
Strong expertise in <b>time-series forecasting techniques</b> (statistical and ML-based).</p></li><li><p>
Experience with machine learning models such as <b>regression, tree-based models, and ensemble methods</b>.</p></li><li><p>
Advanced <b>feature engineering for demand and planning datasets</b>.</p></li><li><p>
Strong <b>SQL and data manipulation</b> capabilities.</p></li><li><p>
Experience with <b>forecast evaluation metrics (MAPE, RMSE, MAE)</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Soft Skills</b></h1><ul><li><p>
Strong <b>ownership and accountability mindset</b>.</p></li><li><p>
Excellent <b>analytical and problem-solving capabilities</b>.</p></li><li><p>
Ability to <b>communicate complex technical concepts to non-technical stakeholders</b>.</p></li><li><p>
Comfortable working in <b>fast-paced environments with tight delivery timelines</b>.</p></li></ul><p>
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