data technical lead

Axos Bank

<div>Axos Bank<div></div><div>
Target Range:</div>
$125,000.00 /Yr. - $150,000.00 /Yr.<div>
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.</div><div></div>
Eligible for an Annual Discretionary Cash Bonus Target:<div></div>
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target:<div></div><div><i>
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.</i></div><div></div><div>
About This Job</div>
Target Range:<br>
<br>
$125,000.00 /Yr. - $150,000.00 /Yr.<br>
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.<br>
<br>
Eligible for an Annual Discretionary Cash Bonus Target: 10%<br>
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%<br>
<br>
Axos Bank is seeking a hands-on VP, Data Engineering Technical Lead to help shape, modernize, and scale our enterprise data platform. This role is central to our mission of transforming legacy data systems into a modern, cloud-native Lakehouse environment that powers analytics, AI, and business intelligence across the organization. As a technical lead, you will design and deliver scalable data pipelines, define data design patterns, enforce engineering standards, and leverage AI-assisted tools to accelerate modernization, improve productivity, and reduce technical debt. You will drive proofs of concept (POCs) and points of view (POVs) to evaluate emerging technologies and frameworks, ensuring that the platform remains innovative, cost-efficient, and future-ready.<div></div><div>
Responsibilities</div><ul><li>
Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.</li><li>
Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.</li><li>
Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap.</li><li>
Leverage AI to accelerate engineering: Use AI-enabled tools like <i>Databricks Assistant, Cursor AI, GitHub Copilot,</i> and <i>dbt Mesh AI tests</i> for code generation, automated testing, documentation, and pipeline optimization.</li><li>
Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.</li><li>
Enforce engineering excellence: Drive CI/CD, version control, peer reviews, and observability practices across the data platform.</li><li>
Collaborate cross-functionally: Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.</li><li>
Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.</li><li>
Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.</li></ul><div></div><div>
Requirements:</div><ul><li>
Bachelors degree</li><li>
8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.</li><li>
Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).</li><li>
Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).</li><li>
Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.</li><li>
Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures.</li><li>
Working knowledge of AI-assisted engineering tools for development, observability, or optimization.</li><li>
Proficiency in SQL and one programming language (Python, Scala, or Java).</li><li>
Strong problem-solving, architectural thinking, and collaboration skills.</li><li>
Excellent communicator with the ability to translate technical topics to business stakeholders.</li></ul><div></div><div>
Axos Employee Benefits May Include:</div><div><ul><li><div>
Medical, Dental, Vision, and Life Insurance</div></li><li><div>
Paid Sick Leave, 3 weeks&rsquo; Vacation, and Holidays (about 11 a year)</div></li><li><div>
HSA or FSA account and other voluntary benefits</div></li><li><div>
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan</div></li><li><div>
Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading</div></li></ul></div><div></div><div>
About Axos</div><div></div><div>
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We&rsquo;re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.</div><div></div><div>
Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol &quot;AX&quot; (NYSE: AX).</div><div></div><div><div>
Learn more about working at Axos</div></div><div></div><div>
Pre-Employment Background Check and Drug Test:</div><div></div><div>
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.</div><div></div><div>
Equal Employment Opportunity:</div><div></div><div>
Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.</div><div></div><div>
Job Functions and Work Environment:</div><div></div><div>
While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.</div><div></div><div>
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.</div></div>

Data Engineering Technical Lead - VP

FedEx

<div><p>Grade - T7<br>
<br>
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date<br>
<br>
What your main responsibilities are:<br>
<br>
Job Profile Summary<br>
<br>
Design, build, and optimise scalable data engineering solutions that empower analytics, reporting, and data-driven decision-making across the enterprise. Lead the architecture, implementation, and enhancement of cloud-based data platforms and pipelines that integrate structured and unstructured data from multiple disparate sources.<br>
<br>
Serve as a technical and people leader, guiding a team of data engineers, mentoring junior members, and fostering a culture of collaboration, innovation, and excellence. Act as a key liaison between technical teams and business stakeholders, effectively translating complex data concepts into actionable insights and communicating recommendations to senior leadership.<br>
<br>
Drive standardisation of best practices, enforce data governance, and ensure high performance, reliability, and scalability of the enterprise data ecosystem using modern Azure-based data technologies.</p><p><br>
Grade - T7</p><p></p><p>
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date</p><p></p><p><b>
What your main responsibilities are:</b></p><p></p><p><b>
Data Architecture &amp; Engineering</b><br>
Architect, design, and implement robust and scalable data pipelines and data lake solutions across diverse data sources using Azure Data Factory, Databricks, Azure Synapse, and other Azure services.</p><p></p><p><b>
ETL/ELT Development &amp; Optimization</b><br>
Build, automate, and optimize ETL/ELT processes for data ingestion, cleansing, transformation, and storage from RDBMS (Oracle, Teradata, SQL Server) and other structured/unstructured systems. Ensure efficient data flow and accessibility for analytics and machine learning workloads.</p><p></p><p><b>
Cloud Data Solutions</b><br>
Lead the deployment and management of cloud-native data platforms leveraging Azure ecosystem tools. Drive adoption of new cloud capabilities that improve performance, scalability, and data democratization.</p><p></p><p><b>
Leadership, Mentorship &amp; Collaboration</b><br>
Lead and inspire a team of data engineers &mdash; providing technical guidance, mentorship, and coaching to help them develop their skills and deliver quality solutions.<br>
Foster strong cross-functional collaboration with analysts, data scientists, and business teams to ensure alignment between data initiatives and organisational priorities.</p><p></p><p><b>
Data Modeling &amp; Governance</b><br>
Develop and maintain data models and standards that support consistency, re usability, and governance across teams. Implement data quality frameworks, lineage tracking, and metadata management solutions.</p><p>
Monitoring, Optimization &amp; Automation<br>
Oversee monitoring and observability systems for data pipelines. Drive continuous improvement through automation, CI/CD practices, and infrastructure-as-code for data workflows.</p><p></p><p><b>
Presentation &amp; Strategic Communication</b><br>
Deliver compelling presentations and reports to senior leadership and technical stakeholders.<br>
Effectively communicate complex technical concepts, architectural designs, and project outcomes through clear storytelling and visualization.<br>
Influence data strategy and advocate for innovation and best practices across teams.</p><p><br>
What we are looking for</p><p><b>
Education:</b><br>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a quantitative discipline such as Mathematics or Statistics. Master&rsquo;s degree in a relevant field preferred.</p><p></p><p><b>
Experience:</b><br>
Minimum 8+ years of experience in data engineering, data architecture, or big data environments, including experience leading teams or projects.</p><p></p><p><b>
Technical Skills:</b></p><ul><li>
Expert in SQL, Python, and PySpark</li><li>
Strong experience with Azure Data Factory, Databricks, Synapse, Data Lake, Event Hubs, and Logic Apps</li><li>
Deep understanding of ETL/ELT, data modeling, data warehousing, and data lakehouse architecture</li><li>
Experience with DevOps for data (CI/CD, Infrastructure as Code)</li><li>
Familiarity with real-time data streaming (Kafka, Event Hubs)</li><li>
Knowledge of data quality, metadata management, governance, and security</li><li>
Exposure to machine learning pipelines, AI integration, and advanced analytics enablement is an advantage</li><li>
Good to have:</li><li>
Experience with Delta Lake, Unity Catalog, and data mesh architectures</li><li>
Working knowledge of Power BI and Tableau for visualization</li><li>
Familiarity with Azure ML, Airflow, and Kubernetes environments</li></ul><p><br>
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.</p><p>
All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.</p><h2 class="jobSectionHeader"><b>
Our Company</b></h2><p>
FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by &quot;Fortune&quot; magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.</p><h2 class="jobSectionHeader"><b>
Our Philosophy</b></h2><p>
The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.</p><h2 class="jobSectionHeader"><b>
Our Culture</b></h2><p>
Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.</p></div><p></p>

Data Engineer-Lead II

Genpact

<p></p><div><div><div><div><div><b>Ready to build the future with AI?</b><br>
<b>At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.</b><br>
<br>
<b>If you thrive in a fast-moving, </b><b>innovation</b>-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
<br>
<b>Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose &ndash; the relentless pursuit of a world that works better for people &ndash; we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.</b></div></div><div></div><div><div><b><br>
 </b><b>Inviting applications for the role of Lead Consultant &ndash; Data Ingestion lead</b></div></div><div><div><b>
In this role, you will be responsible designs, builds, and manages pipelines to move data from sources to storage, focusing on performance, reliability, and quality, collaborating with teams, selecting tools and optimizing processes, ensuring security/compliance, and handling incidents, with key duties including strategy, development, monitoring, and stakeholder communication for efficient data flow.</b></div></div><div><div><b><br>
Key Responsibilities</b></div></div><div><ul><div><div><b>
Pipeline Design &amp; Development Support: Create/Support, maintain, and optimize robust, scalable, and secure data ingestion pipelines (both batch and real-time/streaming).</b></div></div></ul></div><div><ul><div><div><b>
Architectural Strategy: Lead the definition of conceptual, logical, and physical data models to support data integration from disparate sources.</b></div></div></ul></div><div><ul><div><div><b>
Data Quality &amp; Governance: Establish data validation checks (accuracy, consistency) and implement data quality standards during the ingestion process.</b></div></div></ul></div><div><ul><div><div><b>
Technology Stack Ownership: Manage and evolve the technical stack, including ETL/ELT tools, cloud-based ingestion services (e.g., Azure Data Factory, Databricks, AWS Glue), and CDC (Change Data Capture) mechanisms.</b></div></div></ul></div><div><ul><div><div><b>
Technical Leadership &amp; Mentoring: Guide and mentor data engineers, providing technical guidance for complex data integration projects.</b></div></div></ul></div><div><ul><div><div><b>
Stakeholder Collaboration: Partner with data architects, data scientists, and business analysts to understand data requirements and align with enterprise data strategies.</b></div></div></ul></div><div></div><div><div><b><br>
Qualifications we seek in you!</b></div></div><div><div><b>
Minimum Qualifications / Skills</b></div></div><div><ul><div><div><b>
BE/B.TECH</b></div></div></ul></div><div></div><div><div><b><br>
Preferred Qualifications/ Skills</b></div></div><div></div><div><ul><div><div><b><br>
Technical Expertise: Strong proficiency in SQL, Python, AWS, Databricks.</b></div></div></ul></div></div><div><div><ul><div><div><b>
Cloud Platforms: Experience with Azure/AWS, for data storage and processing.</b></div></div></ul></div><div><ul><div><div><b>
ETL/ELT Tools: Experience with tools like Talend, Informatica, or Kafka Connect.</b></div></div></ul></div><div><ul><div><div><b>
Data Modeling: Solid understanding of relational databases and modern data warehouse design.</b></div></div></ul></div><div><ul><div><div><b>
Leadership Skills: Proven experience in a lead or senior role, managing team performance and project delivery.</b></div></div></ul></div><div><ul><div><div><b>
Typical Performance Indicators</b></div></div></ul></div><div><ul><div><div><b>
Reduction in data ingestion latency (time from source to warehouse).</b></div></div></ul></div><div><ul><div><div><b>
Increase in data pipeline reliability and automation (</b><b>DataOps</b><b>).</b></div></div></ul></div><div><ul><div><div><b>
Improvement </b><b>in</b><b>data quality metrics and reduction in data integration errors.</b></div></div></ul></div><div><ul><div><div><b>
Data Ingestion Lead vs. Similar Roles</b></div></div></ul></div><div><ul><div><div><b>
Data Engineer: Focuses on the &quot;how&quot; (building pipelines).</b></div></div></ul></div><div><ul><div><div><b>
Data Ingestion Lead: Focuses on the &quot;how, where, and when&quot; (strategic design, scalability, and quality).</b></div></div></ul></div><div><ul><div><div><b>
Data Management Lead: Focuses more broadly on governance, data lifecycle, and policies.</b></div></div></ul></div><div></div><div><div><b><br>
Why join Genpact?</b><br>
<br>
<b>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</b><br>
<b>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</b><br>
<b>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</b><br>
<b>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</b><br>
<b>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</b><br>
<b>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</b><br>
<b>Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.</b><br>
<b>Let&rsquo;s build tomorrow together.</b></div></div><div></div><div><div><b><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.</b></div></div><div><div><b>
Furthermore, please do note that Genpact does not charge fees to process job </b><b>applications</b><b>and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</b></div></div></div></div><p></p><p><br>
JobLead Consultant</p><p>
Primary LocationIndia-Kolkata</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 19, 2026, 6:05:39 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Lead Consultant – Data Ingestion lead

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p><b>
Job Summary</b><br>
We are seeking a passionate and talented <b>Data Scientist Lead</b> to join our dynamic team.</p><p>
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p>
Key Responsibilities:
</p><ul><li>Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.
</li><li>Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.
</li><li>Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.
</li><li>Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.
</li><li>Review and approve modeling approaches and performance metrics, translate insights for non-technical audiences, support team growth, and drive adoption of emerging AI/ML techniques.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li>
7+ years of experience in Data Science and Machine Learning, with proven team leadership and mentoring experience.
</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
</li><li>Solid foundation in statistics, experimentation design, and model evaluation techniques.
</li><li>Proven experience deploying and maintaining machine learning models in production environments.
</li><li>Excellent communication, leadership, and stakeholder management skills.</li></ul></div><p></p>

Data Scientist Lead

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Data Science Lead - R01561319</b></h1>
<p></p><div><b>Data Science Lead</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Advanced: Data Scientist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Job Description: Lead Solution Architect (Agentic AI &amp; App Integration) Role Overview As the Lead Solution Architect, you will be the visionary and technical engine behind our AI-Enabled application. Transform a reactive monitoring environment into a proactive, agentic ecosystem. You will design the foundational integration blocks that allow Generative AI agents to interact with third-party applications, transcribe real-time communications, and provide intelligent, multi-step reasoning to support mission-critical decisions. ________________________________________ The Foundational Blocks 1. Orchestration Layer: Building the multi-agent framework (e.g., AutoGen, LangChain, or Semantic Kernel) that allows AI agents to collaborate, hand off tasks, and resolve complex incidents autonomously. 2. Universal Integration Fabric: Designing a standardized API and Webhook gateway that connects apps for real-time data ingestion and action execution. 3. The &quot;Live Intelligence&quot; Pipeline: Implementing Speech-to-Text (STT) and Natural Language Understanding (NLU) systems to ingest radio, video, and voice comms directly into the AI&rsquo;s reasoning engine. 4. Governance &amp; ALA (Agentic Level Agreements): Establishing the guardrails, audit logs, and &quot;human-in-the-loop&quot; protocols to ensure AI actions are safe, compliant, and transparent. ________________________________________ Key Responsibilities &bull; Drive Agentic AI Strategy: Lead the architectural design of autonomous agents capable of L1/L2 incident triage, automated investigation, and proactive threat hunting. &bull; Cross-App Integration: Develop reusable integration patterns (Event-Driven, WebSockets, REST) to ensure the app is the &quot;single pane of glass&quot; for all connected applications. &bull; Conversational AI &amp; STT: Design high-fidelity chatbot interfaces and real-time transcription services that allow operators to &quot;talk to the data&quot; and receive voice-activated summaries of active incidents. &bull; Data Science Leadership: Partner with Data Scientists to fine-tune LLMs, optimize Retrieval-Augmented Generation (RAG) pipelines, and ensure model outputs are grounded in enterprise-specific data. &bull; Scalability &amp; Resilience: Ensure the architecture supports high-concurrency, low-latency operations.</li></ul></div><p></p>

Data Science Lead – R01561319

AAA Auto Club Enterprises

<b>Please Note:</b> This position is 100% remote, however you must reside within driving distance of our offices in Costa Mesa CA to attend meetings and team collaboration.
<br><br>
The Data Tech Lead is a member of the Insurance Data Engineering Team. They will play a critical role on the team developing data solutions to solve business and technical problems.
<br><br>
What You’ll Do
<br><br>
Leading development & delivery of technical solution
<br><br>
Architecting and coding solutions using big data tools and techniques
<br><br>
Understanding complex business problems to ensure projects are leveraging the appropriate technology and analytical tools in the delivery of a comprehensive solution
<br><br>
Understand the business goals/needs while utilizing big data and cloud technology to ingest, process, and analyze large amounts of data
<br><br>
Understand how to transform findings into actionable business opportunities
<br><br>
Understand the changing business needs of the organization/projects and recommend viable strategies for the future.
<br><br>
Author and/or Review architecture/design and other technical documents ensuring high quality deliverables and systems development across tech stacks and applications teams
<br><br>
What You’ll Need
<br><br>
5+ years of working experience in a technical lead or an architect role
<br><br>
Understanding of Cloud technology (preferably AWS- EC2, S3, Lambda, API Gateway,GLUE) and Big Data platforms (Hadoop- Sqoop, Hue, Impala, Hive, Hbase)
<br><br>
3-5 years of Experience developing solutions on Hadoop and NoSQL databases
<br><br>
Experience with data modeling and business logic.
<br><br>
Ability to think outside the box and understand the big picture thought process
<br><br>
Ability to communicate clearly to business owners
<br><br>
Highly proficient in SQL -Data architecting experience a plus.
<br><br>
Tableau and R is a plus
<br><br>
Data Mining/Data Warehousing/Business Intelligence experience a plus
<br><br>
Experience with automated deployments and source code/configuration management tools such as GitHub, AWS Cloud formation, Jenkins, Terraform, etc.
<br><br>
Ability to understand the big picture and drive the initiatives the lead to completion of the overall big picture
<br><br>
Excellent time management skills, strong organizational skills and detail orientation required.
<br><br>
Strong verbal and written communication skills and must also be a logical thinker with the ability to communicate clearly and effectively.
<br><br>
#LI-SJ1
<br><br>
<b>Remarkable benefits:</b><br>
<ul>
<li>Health coverage for medical, dental, vision</li>
<li>401(K) saving plans with company match AND Pension</li>
<li>Tuition assistance</li>
<li>Floating holidays and PTO for community volunteer programs</li>
<li>Paid parental leave</li>
<li>Wellness programs</li>
<li>Employee discounts (membership, insurance,</li>
</ul>
travel, entertainment, services and more!)
<br><br>
Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.
<br><br>
"Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”
<br><br>
AAA is an Equal Opportunity Employer
<br><br>
Our organization participates in E-Verify

Data and Analytics Technical Lead

MSPIRE VENTURES PRIVATE LIMITED

<p>Lead AI &amp; Data Scientist and take ownership of cutting-edge<br/>AI/ML initiatives that power real-world industrial automation systems. You'll architect and deploy production-grade machine learning models that directly impact critical infrastructure operations.<br/><b>Key Responsibilities</b><br/>- Design, develop, and deploy predictive models for industrial applications<br/>- Build and maintain robust data pipelines for real-time sensor data ingestion, validation, and processing<br/>- Implement safety-critical logic with bulletproof failsafe's, redundancy checks, and emergency protocols<br/>- Collaborate directly with the CTO on model architecture and strategic AI decisions<br/>- Mentor Backend Engineers and AI Support Interns on ML best practices<br/>- Handle industrial sensor data challenges including noise, sensor drift, and connectivity drops<br/>- Work closely with IoT Engineers on data integration from PLCs and SCADA systems<br/>- Present technical findings and model performance metrics to stakeholders and investors<br/>Required Qualifications<br/><b>Experience:</b><br/>- 4-6 years of hands-on experience in AI/ML with proven industrial or IoT project background<br/>- Strong expertise in Time-Series Forecasting, Anomaly Detection, or Predictive Maintenance<br/>- Track record of shipping production AI systems (not just academic projects)<br/>Technical Skills:<br/>- Advanced proficiency in Python, scikit-learn, TensorFlow/PyTorch, Pandas, NumPy etc.<br/>- Hands-on experience with real-time data processing frameworks (Apache Kafka, Stream<br/>Processing)<br/>- Understanding of model deployment, containerization (Docker), and cloud ML pipelines<br/>- Experience with industrial PLCs, SCADA systems, or control engineering (highly valued)</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,027,569.44 - ₹2,291,194.54 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

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