30+ Data Science Jobs in Delhi, NCR and Gurgaon | Data Science Job openings in Delhi, NCR and Gurgaon

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR)  by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

Why Cogoport?

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

Areas of Impact for you

• Hands-on management with deep-dive into the details of software design, implementation and debugging.
• Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.
• Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
• Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
• Develop large multi-tenant applications in Rails.
• Understand Rails best practices and religiously introduce those to the codebase.
• Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

Desirable Skills and Experience

• Loves coding.
• 2-4 years of experience building scalable & complex products from scratch.
• Demonstrated ability to build complex scalable technology products.
• Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
• Understanding scaling strategies for high-traffic Rails applications.
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• Experience in using ActiveRecordSerialize, RSpec and active interaction.
• Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Expertise in Data Science and Machine Learning is a pl
• Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.  

Data Scientist

Requirements

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch

Optional Add-ons-

● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB

• 6+ months of proven experience as a Data Scientist or Data Analyst
• Understanding of machine-learning and operations research
• Extensive knowledge of R, SQL and Excel
• Analytical mind and business acumen
• Strong Statistical understanding
• Problem-solving aptitude
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

• You hold an MS/Ph.D. degree in a STEM domain and 5+ years in a relevant position
• You share your ideas and continuously improve yourself and the team around you.
• Experienced in building and scaling data teams across multiple locations and domains.
• You have a good understanding of evolving an organization’s culture based on analytics and data insights
• Natural and comfortable leader, have excellent problem-solving, organizational, and analytical skills
• Passionate about data improving business and engineering practices like continuous delivery, traceability, and observability
• Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

• Consumer-facing, as well as core platform, finance, and distribution business units
• Marketing and product teams, across to our engineering teams
• Modern infrastructure (Kubernetes, AWS, GCP)

What we offer

• We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

• Strong technical culture of continuous innovation and improvement
• Chance to become a shareholder of Gelato!
• Flexible festive holidays, swap days off according to your values and beliefs.
• Work at one of our hub city offices or even remotely
• And much more!

What you need to have:

Job Responsibilities

• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary

Requirements for the Job

1. Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges 

1. Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
2. Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)

1. Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
2. Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
3. Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).

Responsibilities: 

• Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
• Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
• Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
• Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
• Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
• Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
• Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
• Drive analytics thought leadership and effectively contributes towards transformational initiatives.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality