11+ SAS GIS Jobs in Delhi, NCR and Gurgaon | SAS GIS Job openings in Delhi, NCR and Gurgaon

FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits

Job Title

Data Analyst

 

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

 

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

 

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities. 

 

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

 

Job Location SouthDelhi, New Delhi 

Job Title -Data Scientist

 

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

 

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

 

Requirements

 

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

Responsibilities:

 

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

 

Requirements:

 

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

 

Job Description:

The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible. 

 

Our ideal candidate

The role would be a client facing one, hence good communication skills are a must. 

The candidate should have the ability to communicate complex models and analysis in a clear and precise manner. 

 

The candidate would be responsible for:

• Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
• Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
• Understanding the math behind algorithms and choosing one over another
• Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy

Desired technical requirements

• Proficiency with Python and the ability to write production-ready codes. 
• Experience in pyspark, machine learning and deep learning
• Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
• Familiarity with SQL or other databases.

Job Description:

• Help build a Data Science team which will be engaged in researching, designing,
implementing, and deploying full-stack scalable data analytics vision and machine learning
solutions to challenge various business issues.
• Modelling complex algorithms, discovering insights and identifying business
opportunities through the use of algorithmic, statistical, visualization, and mining techniques
• Translates business requirements into quick prototypes and enable the
development of big data capabilities driving business outcomes
• Responsible for data governance and defining data collection and collation
guidelines.
• Must be able to advice, guide and train other junior data engineers in their job.

Must Have:

• 4+ experience in a leadership role as a Data Scientist
• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)
• Willing to work from scratch and build up a team of Data Scientists
• Open for taking up the challenges with end to end ownership
• Confident with excellent communication skills along with a good decision maker

Data Platforms (Data Integration) is responsible for envisioning, building and operating the Bank’s data integration platforms. The successful candidate will work out of Gurgaon as a part of a high performing team who is distributed across our two development centers – Copenhagen and Gurugram. The individual must be driven, passionate about technology and display a level of customer service that is second to none.

Roles & Responsibilities

• Designing and delivering a best-in-class, highly scalable data governance platform
• Improving processes and applying best practices
• Contribute in all scrum ceremonies; assuming the role of ‘scum master’ on a rotational basis
•  Development, management and operation of our infrastructure to ensure it is easy to deploy, scalable, secure and fault-tolerant
• Flexible on working hours as per business needs

Be an integral part of large scale client business development and delivery engagements

• Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks • Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data • Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output • Aid in decision making related to client management, and also be able to take client calls relatively independently • Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members • Discuss queries/certain sections of deliverable report over client calls or video conferences Technical Skills: • Hands on experience of one or more statistical tools such as SAS, R and Python • Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage Work Experience: • 2-4 years of relevant experience in Marketing Analytics / MR. • Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc. • Experience in data management using SQL queries on tools like Access/ SQL Server

As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges. Your work will directly influence decisions taken to build the most successful web/mobile gaming platform with games played by millions across the world. Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations. Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture. Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Recruit, develop and coach talent. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement. Qualifications B.tech or Bachelor degree in Data science. An MBA or advanced degree in a quantitative discipline is preferred. 3+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations. Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc. Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc.. Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention. Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel. Tableau skills preferred. Advanced SQL is mandatory skills. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions and partners.

About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.