data science leader

ADB Safegate

<div><div><div><div><div>Contract Type: Permanent
</div></div></div></div><div><div><div><div>Job Location: Hyderabad - India
</div></div></div></div><div><div><div><div><div><b>Type: Full-time | Immediate Start<br>
</b></div><div></div><div><b>Who Are We?<br>
</b></div><div><br>
ADB SAFEGATE is the market leader in Airfield Solutions, with a presence in 2,300 airports and 40 offices worldwide. We are building ADB SAFEGATE India Labs in Hyderabad, India &ndash; our latest software development hub. This is an opportunity to join a truly global company, working on innovative software solutions that support airport operations across Airfield, Apron, Terminal, Tower, and Weather solutions.<br>
</div><div></div><div><b>The opportunity<br>
</b></div><div></div><div>We are looking for a <b>Data Science Leader &ndash; Airside 4.0 </b>to drive Airside 4.0 innovation&mdash;solve critical airfield challenges through data science and first-principles engineering. Build algorithms, simulations, and solutions that make airports safer and more efficient worldwide.
</div><div>This is <b>technical leadership without people management </b>. You&rsquo;ll use cases end-to-end, drive technical direction, and collaborate across engineering, product, and customer teams. This role combines the expertise of a data scientist with the practical problem-solving of a systems engineer, requiring a deep understanding of airside systems, customer use cases, and the engineering principles behind our products.<br>
</div><div></div><div><b>What will you do?<br>
</b></div><div></div><ul><li><b>Use Case Development </b>: Leading the development of Airside 4.0 use cases by understanding customer problems, analyzing data from our systems and sensors, and designing innovative solutions based on first principles.
</li><li><b>Algorithm Design </b>: Creating and implementing algorithms to extract actionable insights from data and optimize airfield operations, such as improving safety, efficiency, and resource utilization.
</li><li><b>Simulation and Modeling </b>: Developing simulation models to test and validate solutions, optimize system performance, and predict outcomes under various scenarios.
</li><li><b>Systems Understanding </b>: Gaining a deep knowledge of ADB SAFEGATE's products, including sensors, lighting, and guidance systems, and how they interact within the airfield ecosystem.
</li><li><b>Collaboration </b>: Partnering with engineering, product management, and customer-facing teams to ensure solutions aligned with business objectives and customer needs.
</li><li><b>Data Analysis </b>: Collecting, processing, and analyzing data from airfield systems to uncover patterns, trends, and opportunities for improvement.
</li><li><b>First Principles Problem-Solving </b>: Applying engineering and physics fundamentals to tackle complex, real-world airfield challenges and develop practical, scalable solutions.
</li><li><b>Technical Leadership </b>: Acting as a subject matter expert in Airside 4.0 technologies, guiding the organization&rsquo;s technical direction in this area and mentoring other technical team members.<br>
</li></ul><div></div><div><b>We&rsquo;re Looking for Someone With:<br>
</b></div><div></div><ul><li>A bachelor&rsquo;s degree in engineering, Physics, Computer Science, or a related technical field. A master&rsquo;s degree or equivalent experience is a plus.
</li><li>A minimum of 8&ndash;10 years of relevant experience in data analysis, algorithm development, system modeling, or engineering roles involving technical problem-solving.
</li><li>Strong knowledge of engineering and/or physics principles, with the ability to approach problems from a first-principles perspective.
</li><li>Proven experience in simulation and modeling techniques to test and validate solutions and predict system behavior under various conditions.
</li><li>Familiarity with sensor systems, IoT devices, and data collection/processing methodologies.
</li><li>An understanding of airfield operations and/or airport systems is highly desirable.
</li><li>Proficiency in programming languages (such as Python or MATLAB) for data analysis, algorithm development, and simulation modeling.
</li><li>Strong analytical and problem-solving skills, with the ability to work independently and think critically.
</li><li>Excellent communication and collaboration skills, with the ability to present complex technical concepts to non-technical audiences.
</li>A passion for innovation, technology, and continuous learning.<br>
<li>
</li></ul><div></div><div><b>Why Join ADB Safegate?<br>
</b></div><div></div><ul><li>Be part of a global organization (1500+ employees) driving innovation in aviation and our key employees in Data science at our new office ADB SAFEGATE Labs in Hyderabad.
</li><li>Technical leadership role to shape the future of airfield operations and be a key contributor to ADB SAFEGATE&rsquo;s Airside 4.0 vision.
</li><li>Global impact: collaboration with teams across Europe and North America.
</li><li>Competitive salary, benefits, and career growth opportunities.
</li>A collaborative and flexible work culture that values your contributions.<br>
<li>
</li></ul><p></p><p>If you want to join a global business and enjoy being a team player who's driven and passionate, then this is your opportunity to come on board by applying!
</p><p>What to learn more about working at ADB SAFEGATE then check out our Career's website https://adbsafegate.com/about/career/
</p></div></div></div></div><div><div><p>ADB SAFEGATE is an equal opportunity employer. ADB SAFEGATE does not discriminate against any employee or applicant for employment because of characteristics protected by law, including but not limited to, race, color, age, creed, religion, national origin, ancestry, sex, sexual orientation, marital status, veteran status, or disability. If you need assistance or reasonable accommodation in completing this application or during the interview, please contact our Human Resources Department.
</p></div></div><div><div><div><div>Req Id: 1227</div></div></div></div></div>

Data Science Leader - Airside 4.0

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Director of Data Science (ML)
 </strong>
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 <br/>
 <br/>
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership
  </li>
  <li>
   Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
  </li>
  <li>
   Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
  </li>
  <li>
   Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
  </li>
  <li>
   Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
  </li>
  <li>
   Team Leadership &amp; Development
  </li>
  <li>
   Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
  </li>
  <li>
   Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
  </li>
  <li>
   Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
  </li>
  <li>
   Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
  </li>
  <li>
   Technical &amp; Operational Excellence
  </li>
  <li>
   Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
  </li>
  <li>
   Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
  </li>
  <li>
   Define and oversee the technical AI roadmap and direction for the team.
  </li>
  <li>
   Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
  </li>
  <li>
   Champion MLOps and automation to reduce experimentation-to-production cycle time.
  </li>
  <li>
   Product Impact &amp; Delivery
  </li>
  <li>
   Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
  </li>
  <li>
   Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
  </li>
  <li>
   Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
  </li>
  <li>
   Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
  </li>
  <li>
   Cross-Functional Influence
  </li>
  <li>
   Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
  </li>
  <li>
   Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
  </li>
  <li>
   Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
  </li>
  <li>
   Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
  </li>
  <li>
   Advanced degree in Computer Science, Machine Learning, or related field.
  </li>
  <li>
   Demonstrated ability to translate complex ML concepts into strategic business impact.
  </li>
  <li>
   Strong stakeholder management and communication skills across technical and non-technical domains.
  </li>
  <li>
   Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;ll Provide You
  <br/>
  <br/>
 </strong>
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 <br/>
 <br/>
 <ul>
  <li>
   Work and learn from great minds by joining a community of inspiring colleagues.
  </li>
  <li>
   Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
  </li>
  <li>
   Explore new opportunities to learn and grow every day.
  </li>
  <li>
   Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
  </li>
  <li>
   Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
  </li>
 </ul>
</div>


Director of Data Science

<div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>
<br><div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>

Lead Machine Learning and AI

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Director, Data Scientist<p></p>
Director, Data Science
<br>
Overview<br>
<br>
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.<br>
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.<br>
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.<br>
<br>
Your Role and Responsibilities:<br>
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul><br>
All about you<br>
<br>
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul><br>
Good to Have<br>
<br>
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Director, Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, or related fields</li>
<li>Proficiency in Data Engineering and Data Modeling</li>
<li>Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li>
<li>Strong skills in Data Analytics and working with large-scale datasets</li>
<li>Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li>
<li>Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li>
<li>Strong problem-solving abilities and attention to detail</li>
</ul>


Data Engineer (Saudi National)

Alhokair Group

4. Big ID Expert - Data Protection ConsultantCompany: Industry  Diversified Group Job Location  Riyadh, Saudi Arabia Career Level  Senior (Team Leader/Staff Supervisor) Date Posted  28-10-2025 Ref. Number  165780 Years of Experience: 5 - 16  Big ID Expert - Data Protection ConsultantJob Description and Requirements: Big ID Expert - Data Protection Consultant for our Banking domain Client in Riyadh. : Bachelor's degree in computer science, Information Technology, or a related field. 5+ years of experience working with the BigID platform or in a similar role. Demonstrable expertise in the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations. Proven experience working with data governance, privacy, and cybersecurity frameworks specific to the Saudi financial sector (e.g., SAMA's Cyber Security Framework, IT Governance Framework). Strong understanding of privacy principles such as data minimization, purpose limitation, and accountability. Excellent communication, interpersonal, and leadership skills, with the ability to influence stakeholders at all levels. High level of integrity and professional ethics, with the ability to handle confidential information with discretion. Kindly send CVs to : Industry  Diversified Group Job Location  Riyadh, Saudi Arabia Career Level  Senior (Team Leader/Staff Supervisor) Date Posted  28-10-2025 Ref. Number  165780 Years of Experience: 5 - 16

Big ID Expert - Data Protection Consultant

PI Industries Ltd

<div>
 <p>
  <strong>
   Strategic
  </strong>
 </p>
 <ul>
  <li>
   Actively support the philosophy, values and key strategic initiatives of organization and the department.
  </li>
  <li>
   Efficient contribution to the overall success of RDIT by driving innovation and team performance according to objectives and targets.
  </li>
  <li>
   Innovate solutions using Artificial Intelligence and machine learning.
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  </li>
  <li>
   Fulfilling requirements as set by Group Leader and Team Leader, e. g. within specific Research Projects
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operational
  </strong>
 </p>
 <ul>
  <li>
   Execute and manage advanced analytics and data science projects, focusing on data visualization and machine learning model development and deployment.
  </li>
  <li>
   Implement and manage ETL processes to ensure efficient extraction, transformation, and loading of data from various sources, such as internal databases and third party platforms.
  </li>
  <li>
   Ensure data quality and accuracy in all analytical processes.
  </li>
  <li>
   Use programming and scripting skills to automate the process, and enhance the effectiveness and productivity. Eg. R, Perl, Bash, Python, JAVA, mySQL
  </li>
  <li>
   Use statistical techniques and machine learning models to analyze large datasets with software such as Python (scikit-learn, TensorFlow) and R.
  </li>
  <li>
   Create and maintain Power BI dashboards to visualize data and communicate findings to stakeholders.
  </li>
  <li>
   Set up and maintain CI/CD pipelines for data science projects.
  </li>
  <li>
   Work closely with cross-functional teams to understand and address business requirements.
  </li>
  <li>
   Communicate complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Develop and implement algorithms for predictive modelling of agrochemical based active ingredients.
  </li>
  <li>
   Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts for application to a broader practice within the organization.
  </li>
  <li>
   Carry out advanced statistical analysis in combination with machine learning and artificial intelligence and build group capability.
  </li>
  <li>
   Updating self with respect to new tools for digitization and data analytics using the online and print literature, attending national and international conferences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Educational Qualification
  </strong>
 </p>
 <ul>
  <li>
   PhD or Masters in data science / statistics / computational sciences / informatics or related discipline from a reputed University / Institute from India or overseas with excellent academic credentials
  </li>
  <li>
   Should have an experience in creating interactive dashboard/data app, AI/ML model building, cloud platforms, big data analytics platform.
  </li>
  <li>
   High quality research publications and/or patents appreciated.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   Experience of &gt; 3 years from relavent industries and/or high-ranking academic institutes in handling scientific data in order to support, improve and direct design in the area of drug discovery, exploration and optimization in life sciences.
  </li>
  <li>
   Must be able to communicate with key stakeholders on a high level of understanding of contents.
  </li>
  <li>
   Experience in predictive modelling, statistics, machine learning to collect, explore and extract insight from structured and unstructured data.
  </li>
  <li>
   Proficiency in Power BI and creating interactive dashboards.
  </li>
  <li>
   Proficiency in scripting and programming languages like R, Perl, Bash, Python, JAVA, mySQL to build efficient AI/ML applications
  </li>
  <li>
   Well versed with working on Cloud (AWS), HPC servers on LINUX/UNIX environemnt.
  </li>
  <li>
   Experience with big data technologies e.g., Hadoop, Spark.
  </li>
  <li>
   Experience with CI/CD tools and practices
  </li>
  <li>
   Ability to communicate technical results to non-statisticians.
  </li>
  <li>
   Experience in agro-chemical space would be an additional advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Interested candidates are requested to share their resumes directly on shubhi.chandnani@piind.com
 </p>
 <p>
 </p>
</div>


Research Scientist - Data Science

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