What Jobs are available for Data Analytics in Delhi?

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Rotational Experience: Spend time in various departments (e.g., Marketing Analytics, Operations, Finance, Product Development) applying data analytics techniques to real-world business problems.
• Skill Development: Participate in workshops and training sessions focused on data visualization tools (Tableau, Power BI), SQL, Python for data analysis, statistical modeling, and A/B testing.
• Mentorship: Receive dedicated guidance and support from experienced mentors who will help shape your professional development.
• Networking: Connect with a cohort of talented peers and senior leaders across the organization.
• Capstone Project: Apply your learnings to a significant analytical project, presenting your findings and recommendations to senior management.

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Demonstrated strong analytical and problem-solving skills, with a passion for data.
• Proficiency in SQL and at least one programming language commonly used for data analysis (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication and presentation skills, with the ability to explain complex data insights clearly.
• Proactive, curious, and eager to learn new technologies and methodologies.
• Ability to work independently and collaboratively in a remote team environment.
• Strong organizational skills and attention to detail.

• Work on challenging data science projects from data collection and cleaning to model development and deployment.
• Gain exposure to a wide range of data science tools and technologies, including Python, R, SQL, and various machine learning libraries.
• Receive mentorship from senior data scientists, who will guide your learning and career development.
• Participate in workshops and training sessions covering essential data science concepts and techniques.
• Collaborate with cross-functional teams in a dynamic, remote-first environment.
• Develop skills in data visualization, statistical analysis, and machine learning algorithms.
• Contribute to the development of data-driven insights that inform business decisions.
• Understand the ethical considerations and best practices in data science.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and calculus.
• Proficiency in at least one programming language, preferably Python or R.
• Familiarity with database concepts and SQL is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt in a fast-paced remote setting.
• Must be legally authorized to work in the specified region (though the role is remote).

Company Overview

At Talent Nexa Consulting, we specialize in sourcing top-tier talent for tech-driven companies, focusing on technology and product leadership hiring. We provide customized hiring solutions, ensuring a perfect cultural alignment across industries such as AI & Machine Learning, Cloud Computing, and E-commerce. Our mission is to connect exceptional talent with the right opportunities, optimizing teams for tech success. Headquartered in Noida, we pride ourselves in transforming possibilities into realities through strategic, personalized recruitment.

Job Overview

We are seeking a highly experienced Director of Data Science to join our dynamic team remotely. This senior-level position, based in Delhi, requires a candidate with 12 to 15 years of experience. The role involves leading data science initiatives and driving innovation within the company and for our clients. The successful candidate will demonstrate expert proficiency in deep learning and development of large language models.

Qualifications and Skills

• Experience in deep learning with a proven track record (Mandatory skill).
• Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill).
• Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill).
• Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects.
• Extensive experience in data science, including knowledge of modern approaches and frameworks.
• Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models.
• Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions.
• Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.

Roles and Responsibilities

• Lead the data science department, driving strategic initiatives and aligning with the company's business goals.
• Develop and enhance AI models using deep learning techniques and large language models.
• Collaborate with engineering and product teams to integrate data-based innovations into products and services.
• Implement best practices and advancements in data science to improve decision-making procedures.
• Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance.
• Oversee research activities to explore new methodologies and improve existing strategies in data science.
• Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing.
• Communicate complex data concepts in clear terms to non-technical stakeholders and executive management.