What Jobs are available for Director Of Analytics in Delhi?

Showing 15 Director Of Analytics jobs in Delhi

Director of Sports Analytics

110001 Delhi, Delhi ₹200000 Monthly WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a prominent entity in the sports industry, is seeking an innovative and results-driven Director of Sports Analytics to lead their data science initiatives. This is a fully remote position, allowing the successful candidate to contribute their expertise from anywhere in India. The role involves leveraging advanced statistical analysis, machine learning, and data visualization techniques to derive actionable insights that enhance athletic performance, strategic decision-making, and fan engagement. You will be responsible for building and managing a high-performing analytics team, fostering a data-driven culture, and translating complex data into compelling narratives for stakeholders.

Key responsibilities include developing sophisticated analytical models to evaluate player performance, predict game outcomes, and optimize team strategies. You will oversee the collection, cleaning, and interpretation of vast datasets from various sources, ensuring data integrity and accuracy. Collaboration with coaches, athletes, and management to understand their analytical needs and provide tailored solutions is crucial. This role requires a strong leader with excellent communication skills to present findings and recommendations to diverse audiences, including executive leadership. You will also be at the forefront of exploring new technologies and methodologies in sports analytics to maintain a competitive edge. The ideal candidate will possess a deep understanding of various sports and their unique analytical challenges. A passion for sports combined with a rigorous scientific approach is essential. This remote position necessitates strong organizational skills and the ability to work autonomously while maintaining close collaboration with globally dispersed teams.

Qualifications: A Master's or Ph.D. in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, or a related discipline is required. A minimum of 7-10 years of experience in data analytics, with a significant portion focused on sports analytics or a related performance-driven industry. Proven experience in leading and mentoring analytical teams. Expertise in statistical modeling, machine learning algorithms, and predictive analytics. Proficiency in programming languages like Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are essential. Strong understanding of sports analytics principles and methodologies. Excellent problem-solving, critical thinking, and communication skills. Ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders. Experience working in a remote, collaborative environment is highly valued. This is a unique opportunity to shape the future of sports through data and analytics, contributing significantly to our client's success from a remote location.
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Director of Sports Analytics

110001 Delhi, Delhi ₹1600000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a prominent organization within the professional sports industry, is seeking a highly experienced and visionary Director of Sports Analytics to lead their analytics division. This exciting role, based in Delhi, Delhi, IN , offers a hybrid work model, allowing for a blend of in-office collaboration and remote flexibility. You will be instrumental in leveraging data-driven insights to enhance team performance, optimize player development, inform strategic decision-making, and improve fan engagement. This position demands a deep understanding of sports dynamics, advanced analytical methodologies, and the ability to translate complex data into actionable strategies for coaches, management, and ownership. You will lead a team of talented analysts, guide research initiatives, and champion the adoption of analytics across all facets of the organization.

Responsibilities:
  • Develop and implement a comprehensive sports analytics strategy to support team performance, player scouting, and business operations.
  • Lead and mentor a team of sports analysts, data scientists, and researchers.
  • Oversee the collection, cleaning, and analysis of vast datasets related to player performance, game statistics, and opposition analysis.
  • Develop predictive models for player performance, injury risk, and game outcomes.
  • Collaborate closely with coaching staff to provide data-driven insights for game planning and strategy.
  • Work with the performance science team to identify training and development opportunities based on analytical findings.
  • Analyze fan engagement data to inform marketing, ticketing, and sponsorship strategies.
  • Present complex analytical findings and strategic recommendations to executive leadership, coaches, and players in a clear and compelling manner.
  • Stay abreast of the latest advancements in sports analytics, data science techniques, and relevant technologies.
  • Manage relationships with external data providers and technology partners.
  • Champion a data-driven culture throughout the organization.
  • Ensure the ethical and secure use of sensitive player and team data.

Qualifications:
  • Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
  • Minimum of 7 years of experience in sports analytics, with a proven track record of delivering impactful insights in a professional sports environment.
  • Extensive experience with statistical modeling, machine learning, and data visualization techniques.
  • Proficiency in programming languages such as Python or R, and experience with SQL.
  • Strong understanding of sports-specific metrics and performance indicators.
  • Experience managing and mentoring analytical teams.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to translate complex technical concepts into actionable business insights.
  • Strong project management skills and the ability to manage multiple initiatives simultaneously.
  • Passion for sports and a deep understanding of the dynamics of athletic competition.
This hybrid role requires regular engagement at our office in Delhi, Delhi, IN , while offering flexibility for remote work. Our client is committed to fostering a diverse and inclusive work environment. If you are a passionate leader in sports analytics ready to drive innovation, we encourage you to apply.
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Director of Sports Analytics

110001 Delhi, Delhi ₹120000 Monthly WhatJobs

Posted 8 days ago

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full-time
Our client is seeking a highly analytical and strategic Director of Sports Analytics to lead their data-driven performance initiatives in Delhi, Delhi . This executive-level position will be responsible for developing and implementing cutting-edge analytical strategies to enhance athletic performance, optimize team operations, and provide critical insights to coaching staff and management. The ideal candidate will possess a deep understanding of sports, advanced statistical modeling techniques, and exceptional leadership capabilities.

Key Responsibilities:
  • Lead the design and execution of sophisticated data analysis projects across various sports disciplines.
  • Develop predictive models for player performance, game outcomes, and injury prevention.
  • Collaborate closely with coaching staff, scouts, and performance teams to integrate data insights into strategic decision-making.
  • Oversee the collection, cleaning, and management of large datasets from multiple sources, including in-game tracking, player statistics, and scouting reports.
  • Identify key performance indicators (KPIs) and develop dashboards and reporting tools for real-time monitoring.
  • Stay abreast of the latest trends and advancements in sports analytics, machine learning, and data visualization.
  • Manage and mentor a team of data analysts and scientists, fostering a culture of innovation and continuous learning.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
  • Develop strategies for talent identification and player recruitment based on data analytics.
  • Explore opportunities for optimizing team operations, training regimens, and strategic planning through data.
  • Ensure data integrity, security, and privacy across all analytical platforms.
  • Contribute to the overall strategic vision of the organization by leveraging data to gain a competitive edge.

Qualifications:
A Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field is required. A minimum of 8 years of experience in data analysis, with at least 4 years in a leadership role within sports analytics or a highly analytical domain. Proven expertise in statistical modeling, machine learning, predictive analytics, and data visualization tools (e.g., R, Python, SQL, Tableau). A strong understanding of sports and athletic performance metrics is essential. Excellent leadership, communication, and presentation skills, with the ability to influence senior stakeholders. Experience managing complex data projects and cross-functional teams. Demonstrated ability to translate complex data into actionable business insights. This role requires a strategic thinker with a passion for sports and a commitment to driving performance through data.
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Director of Sports Analytics

110001 Delhi, Delhi ₹120000 Annually WhatJobs

Posted 26 days ago

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full-time
Our client, a rapidly expanding sports management and analytics firm, is looking for an innovative and strategic Director of Sports Analytics to lead their data science initiatives in Delhi, Delhi . This executive position will be responsible for developing and implementing advanced analytical strategies to enhance athletic performance, optimize team strategies, and drive commercial success. You will lead a team of data scientists and analysts, guiding them in the collection, cleaning, and interpretation of vast datasets related to player performance, game statistics, fan engagement, and market trends. Your role will involve leveraging machine learning, statistical modeling, and predictive analytics to uncover actionable insights that provide a competitive edge. Key responsibilities include designing and overseeing the development of analytical tools and dashboards, presenting complex findings to stakeholders (including coaches, general managers, and executive leadership) in a clear and concise manner, and translating data-driven recommendations into tangible improvements. You will also play a pivotal role in identifying new opportunities for data utilization and staying abreast of the latest advancements in sports analytics technology and methodologies. A strong understanding of various sports (e.g., cricket, football, kabaddi) and the unique analytical challenges within each is highly valued. The ideal candidate will possess a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field, with at least 10 years of experience in analytics, including significant experience in sports analytics or a related domain. Proven leadership experience, exceptional analytical and problem-solving skills, and a deep understanding of statistical modeling, machine learning, and data visualization techniques are required. Excellent communication, presentation, and interpersonal skills are essential for effectively collaborating with diverse teams and influencing decision-making at the highest levels. This is a unique opportunity to shape the future of sports through data.
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Senior Manager Data Analytics

Delhi, Delhi noon

Posted 5 days ago

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Job Description

About noon

noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. noon is a work in progress; we’re six years in, but only 5% done.

noon’s mission: Every door, every day.


What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.At noon, we’re building one of the most data-driven organizations in the region. As the Senior Manager, Data Analytics, you will play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics (“Fugistics”). You’ll lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale. You’ll be responsible not only for building advanced analytical models and insights but also for setting the vision and roadmap for data analytics in Fugistics. This role requires a unique blend of technical expertise, business acumen, and leadership skills.


Key Responsibilities:

  • Own the end to end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfilment and logistics teams.
  • Collaborate with demand planning, warehouse and logistics teams to ensure adequate capacity is there to fulfill the monthly plan and ensure timely shipping and on-time deliveries.
  • Lead seasonal and promotional event planning including inventory build-up strategies, temporary storage solutions, manpower planning by partnering with cross functional teams to ensure seamless execution.
  • Monitor Key performance indicators including daily attainment, capacity utilization, promise quality etc.
  • Lead, mentor, and grow a high-performing team of Planners and Analysts and drive continuous process improvements across planning processes.
  • Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.
  • Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
  • Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
  • Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
  • Champion automation and self-service tools to empower teams and reduce manual reporting.
  • Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.


What you’ll need:

  • 8+ years of experience in Data Analytics, Business Intelligence, or Strategic Analytics, with at least 3 years in a leadership role.
  • Strong background in e-commerce, supply chain, fulfillment, or logistics.
  • Proven track record of leading cross-functional analytics projects that drive measurable business impact.
  • Deep expertise in SQL, BigQuery, and modern data analytics tools.
  • Proficiency in data visualization platforms (Google Data Studio, Power BI, Tableau).
  • Strong statistical foundation and experience with forecasting, predictive modeling, regression, clustering, classification techniques.
  • Knowledge of programming languages such as Python or R (preferred).
  • Bachelor’s or Master’s degree in Engineering, Data Science, Business Analytics, Statistics, or related field.
  • Strong leadership qualities: ability to inspire, coach, and build high-performing teams.



Who will excel?

  • We’re looking for people with high standards, who understand that hard work matters.
  • You need to be relentlessly resourceful and operate with a deep bias for action.
  • We need people with the courage to be fiercely original.
  • noon is not for everyone; readiness to adapt, pivot, and learn is essential.
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Graduate Trainee - Data Analytics

110001 Delhi, Delhi ₹25000 Monthly WhatJobs

Posted 2 days ago

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intern
Our client is actively seeking motivated and intellectually curious Graduate Trainees to join their Data Analytics team in Delhi, Delhi . This is an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and analytical environment. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects that drive business insights. You will receive comprehensive training and mentorship, enabling you to develop critical skills in data manipulation, statistical analysis, data visualization, and predictive modeling.

Responsibilities:
  • Assist in data collection, cleaning, and pre-processing from various sources.
  • Support the development and execution of data analysis plans.
  • Perform statistical analysis and interpret data to identify trends and patterns.
  • Create compelling data visualizations and reports to communicate findings.
  • Learn and apply various data modeling techniques.
  • Collaborate with team members on data-driven projects.
  • Participate in training sessions and workshops to enhance technical skills.
  • Document data processes and methodologies.
  • Contribute to brainstorming sessions for new analytical approaches.
  • Assist in the validation of data integrity and accuracy.
  • Adhere to all company policies and procedures, including data security protocols.

Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Basic understanding of statistical concepts and data analysis techniques.
  • Familiarity with programming languages like Python or R is a plus.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
  • Excellent communication and interpersonal skills.
  • Ability to work collaboratively in a team environment.
  • Eagerness to learn and a strong desire to develop expertise in data analytics.
  • Attention to detail and commitment to producing high-quality work.
  • Proactive and takes initiative to understand and contribute to projects.
This internship is based in our client's office in Delhi, Delhi , offering an immersive and educational experience in the field of data analytics. Successful interns may be considered for full-time positions based on performance and business needs.
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Graduate Trainee - Data Analytics

110001 Delhi, Delhi ₹20000 Monthly WhatJobs

Posted 8 days ago

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Job Description

intern
Our client is seeking enthusiastic and ambitious recent graduates to join their prestigious Graduate Trainee program in Data Analytics, based in Delhi, Delhi, IN . This is an exceptional opportunity for individuals eager to launch their careers in the exciting field of data science and analytics. As a Graduate Trainee, you will receive comprehensive training and mentorship from industry experts, working on real-world projects that provide valuable hands-on experience. You will learn to collect, clean, analyze, and interpret large datasets to uncover insights, build predictive models, and support data-driven decision-making across various business functions. This program is designed to nurture talent and provide a strong foundation for a successful career in data analytics.

Key Responsibilities:
  • Assist in collecting and organizing data from various sources.
  • Perform data cleaning and preprocessing to ensure data quality and consistency.
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies.
  • Support the development of reports and dashboards to visualize data insights.
  • Learn and apply statistical methods and machine learning techniques.
  • Collaborate with senior analysts and data scientists on ongoing projects.
  • Contribute to data storytelling and presenting findings to stakeholders.
  • Gain proficiency in data analysis tools and programming languages such as Python, R, and SQL.
  • Participate in training sessions and workshops to enhance analytical skills.
  • Adhere to data privacy and security policies.

Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
  • Strong academic record with a demonstrated interest in data analysis.
  • Basic understanding of statistical concepts and analytical techniques.
  • Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and commitment to data accuracy.
  • Good communication and teamwork abilities.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Proactive attitude and a strong desire to contribute to team goals.
  • Must be eligible to work in India.
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Graduate Trainee - Data Analytics

110002 Delhi, Delhi ₹35000 Monthly WhatJobs

Posted 11 days ago

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intern
Our client is offering an exceptional Graduate Trainee opportunity in Data Analytics, designed for ambitious recent graduates looking to kickstart their careers in a data-driven environment. This is an on-site position at our **Delhi, Delhi, IN** office, providing hands-on experience and mentorship from seasoned data professionals. You will be immersed in real-world data projects, learning to extract insights, build reports, and contribute to data-informed decision-making across various business functions.

As a Graduate Trainee, you will work with large datasets, utilizing analytical tools and techniques to identify trends, patterns, and opportunities for business improvement. Your responsibilities will include data cleaning, data visualization, building dashboards, and assisting in the preparation of analytical reports. The ideal candidate will possess strong analytical and quantitative skills, a curious mind, and a passion for working with data. Familiarity with SQL for data extraction and manipulation, and basic understanding of data visualization tools (e.g., Tableau, Power BI) or statistical software (e.g., R, Python) is highly desirable.

This program is structured to provide comprehensive training and development, allowing you to gain practical experience in data analysis, reporting, and business intelligence. You will collaborate with different teams, understand their data needs, and help them leverage data to achieve their objectives. We are looking for individuals who are eager to learn, possess excellent communication skills, and have a proactive approach to problem-solving. This traineeship offers a competitive stipend and an invaluable opportunity to develop a strong foundation in data analytics, setting you on a path towards a successful career in this rapidly growing field.

Key Responsibilities:
  • Assist in data collection, cleaning, and preparation processes.
  • Perform data analysis to identify trends, patterns, and insights.
  • Develop and maintain data visualizations and dashboards.
  • Support the creation of analytical reports and presentations.
  • Collaborate with business stakeholders to understand data requirements.
  • Learn and apply various data analysis techniques and tools.
  • Contribute to data quality initiatives.
  • Assist in the testing and validation of analytical models.
  • Participate in team meetings and knowledge-sharing sessions.
  • Adhere to data governance and security policies.
Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • Strong analytical and problem-solving abilities.
  • Basic knowledge of SQL for data querying.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) or programming languages for data analysis (e.g., R, Python) is a plus.
  • Excellent communication and interpersonal skills.
  • Eagerness to learn and a proactive attitude.
  • Ability to work collaboratively in a team environment.
  • Detail-oriented and organized.
This is an excellent entry-level opportunity to gain practical experience in data analytics within a supportive and dynamic setting.
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Advanced Apprentice - Data Analytics

110001 Delhi, Delhi ₹15000 Monthly WhatJobs

Posted 16 days ago

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apprenticeship
Embark on an exciting journey with our client, a dynamic organization seeking motivated individuals to join their team as Advanced Apprentices in Data Analytics. This program is meticulously designed to provide comprehensive training and hands-on experience in the ever-evolving field of data science and analysis. You will be immersed in real-world projects, learning to collect, clean, analyze, and interpret complex datasets to extract actionable insights. Key responsibilities will include assisting senior analysts in developing data models, creating compelling visualizations, and contributing to the formulation of data-driven strategies that inform business decisions. The role requires a keen eye for detail, strong problem-solving skills, and an insatiable curiosity about uncovering patterns within data. You will gain proficiency in industry-standard tools and programming languages such as SQL, Python, and R, alongside data visualization platforms like Tableau or Power BI. Our client is committed to fostering a supportive learning environment where you will receive mentorship from experienced professionals, attend workshops, and gradually take on more responsibility. This is an unparalleled opportunity to build a robust foundation for a successful career in data analytics. The ideal candidate will possess a foundational understanding of statistics and mathematics, a willingness to learn quickly, and excellent communication skills to present findings. While prior experience is beneficial, it is not strictly required as comprehensive training will be provided. We are looking for individuals who are proactive, eager to contribute, and possess a strong aptitude for logical thinking. Join us in our pursuit of data excellence and innovation right here in the heart of Delhi, Delhi, IN .
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Senior Agronomist - Remote Sensing and Data Analytics

110001 Delhi, Delhi ₹75000 Annually WhatJobs

Posted 3 days ago

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full-time
Our client is a forward-thinking organization at the forefront of agricultural innovation and is seeking a highly skilled Senior Agronomist specializing in remote sensing and data analytics to join their fully remote team. This pivotal role involves leveraging cutting-edge technologies to monitor crop health, optimize resource management, and enhance agricultural productivity on a large scale. You will be responsible for the acquisition, processing, and analysis of data from various sources, including satellite imagery, drone surveys, and ground-based sensors. Utilizing your expertise in GIS, statistical modeling, and machine learning, you will develop predictive models for yield forecasting, disease detection, and soil health assessment. This position demands a strong understanding of agronomic principles combined with advanced technical capabilities. You will work closely with agronomists, data scientists, and farm managers to translate complex data insights into actionable recommendations for sustainable and efficient farming practices. The successful candidate will be adept at communicating technical findings to diverse audiences and driving data-informed decision-making across the agricultural value chain. This is an exceptional opportunity to shape the future of agriculture through data-driven insights, all while working remotely.

Responsibilities:
  • Acquire, process, and analyze geospatial data from satellite, aerial, and ground-based sensors for agricultural applications.
  • Develop and implement algorithms for crop health monitoring, yield prediction, and stress detection using remote sensing techniques.
  • Utilize GIS software (e.g., ArcGIS, QGIS) for data visualization, spatial analysis, and map creation.
  • Apply statistical methods and machine learning techniques to interpret large agricultural datasets.
  • Collaborate with field agronomists to ground-truth remote sensing data and validate models.
  • Develop data-driven recommendations for precision agriculture practices, including irrigation, fertilization, and pest management.
  • Communicate complex analytical findings and insights to stakeholders, including technical and non-technical audiences.
  • Stay abreast of advancements in remote sensing technology, agricultural data analytics, and relevant software.
  • Contribute to the design and implementation of data management systems for agricultural projects.
  • Ensure data quality and integrity throughout the analysis pipeline.
  • Prepare reports, presentations, and publications summarizing research findings and project outcomes.

Qualifications:
  • Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Agricultural Engineering, or a related field with a strong focus on data analysis.
  • Minimum of 6 years of experience in applying remote sensing and data analytics to agriculture.
  • Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing image processing tools (e.g., ENVI, ERDAS Imagine).
  • Strong programming skills in Python or R for data analysis and modeling.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with agricultural data standards and formats.
  • Excellent understanding of crop physiology, soil science, and agronomic principles.
  • Proven ability to work independently and manage projects effectively in a remote environment.
  • Strong communication and presentation skills.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
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