Data Scientist

Channel Sales Executive - Field Sales

Company: Manvi International Courier

Location: Dwarka Sec 7, Delhi

Preference: Male 

Age Limit - 20-35 years

Who can Apply? 

Freshers/Experienced both can apply with good communication skills.

Position Overview:

Manvi International Courier is looking for a Channel Sales Executive to generate leads and build client relationships. This is a field-based role with no sales targets, requiring strong communication skills in English and Hindi.

Key Responsibilities:

• Lead Generation: Identify and generate new business opportunities for courier services.
• Client Relationships: Build and maintain strong relationships with clients through regular visits.
• Communication: Effectively communicate the company’s services to clients in both English and Hindi.
• Field Visits: Travel to various locations to meet clients and assess their needs.

Required Skills:

• Strong communication skills in English and Hindi.
• Ability to build relationships and generate leads.
• Self-motivated with a proactive attitude.
• Willingness to travel and visit clients as needed.
• Male candidates only.

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

THE IDEAL CANDIDATE WILL

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

Nice to Have:

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

Key aspects of this role: 

• Maintain, update, and enhance ITSM environment including Incident, Request,  Problem, Change and Knowledge Management, Service Catalog, Service Portals,  SLAs, Discovery, and Integrations 
• Participate in the implementation and configuration of other ServiceNow products outside of ITSM to increase the adoption of the ServiceNow platform. • Responsible for performing daily administration, issue resolution, and  troubleshooting of the ServiceNow platform. Monitor health, usage, and overall compliance of ServiceNow and its applications.

To be the right fit, you will need: 

• Minimum of 2 years of demonstrated experience in ServiceNow development and  configuration.  
• Proficient in developing, integrating and maintaining applications using ServiceNow Platform technology and tools.
• Understanding of and experience working with IT Service Management processes (Incident, Problem, Change, Release, SLM, Service Catalog), PPM/ITBM• Understanding of IT and business requirements with ability to develop, test, deploy improvements, and update Manage and administer lists, filters, forms, platform  interfaces (to other data sources) and the data within tables, import sets and the  CMDB. 
• Preferably certified in ServiceNow 

Role of a Quantitative Trader

Role and Responsibilities:

*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.

*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions

Requirements:

Education (Candidate should satisfy one of the following)

 B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades

 B.Tech with good grades and strong quantitative aptitude

 CFA/FRM Level 1 cleared

 Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)

Preferences:

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

 Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)

 MATLAB/R for Time series analysis

 Knowledge of AFL ( Amibroker Formula Language)

Benefits and Advantages for Candidate:

 Steep learning curve

 Extensive training on mathematics of derivatives market

 Dynamic work environment.

 Merit based growth

 Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)

Pay Structure:

 Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)

 Pay Structure post the training period:

Base Salary of 5 Lacs p.a  + Performance Bonuses

Working Hours:

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.

 Standard Market Hours : 8:45 – 5.00 p.m

 Training Pre and Post market hours