Data Scientist

Job Summary

We are seeking a dynamic Store Manager to lead our premium lifestyle apparel store. The ideal candidate will drive sales growth, deliver exceptional luxury customer experiences, and uphold brand standards across store operations, visual merchandising, and team performance.

Experience : 3 to 7 years

Age limit :31 years

Should be from Premium apparel brand

Key Responsibilities

Lead end-to-end store operations ensuring premium service standards

Drive sales targets, AOV, conversion, and repeat customer engagement

Build, train, and motivate a high-performing sales team

Deliver personalized styling and customer experience for HNI clients

Maintain visual merchandising as per brand and seasonal guidelines

Monitor inventory, stock movement, shrinkage, and replenishment

Analyze KPIs, sales reports, and take corrective actions

Handle customer escalations with a luxury-first mindset

Ensure SOP, audit, and compliance adherence

Skills & Competencies

Strong leadership and team management

Excellent customer service and luxury selling skills

Eye for fashion, styling, and brand presentation

Sales analytics and KPI-driven approach

Strong communication and interpersonal skills

Qualifications & Experience

Graduate in any discipline (Fashion background preferred)

3–8 years of experience in premium / luxury apparel retail

Proven experience handling high-value customers and targets

Key Responsibilities

• Own and drive the product roadmap for data and AI-powered features end-to-end

• Translate complex data and AI capabilities into simple, intuitive product experiences for brands and creators

• Collaborate closely with data engineers, ML engineers, and business teams to define and deliver product requirements

• Define product metrics and success criteria — including data quality, model accuracy, and user engagement

• Identify gaps in existing data pipelines and work with engineering to build scalable solutions

• Conduct user research, competitor analysis, and market mapping to inform product decisions

• Prioritise features and manage the product backlog with a strong data-driven approach

• Work with the AI team to evaluate and integrate LLM and GenAI capabilities into the product

Must-Have Skills

• Total experience of 2–3 years with at least 1–2 years in data engineering or data analytics

• Transitioned into or actively pursuing a product management role

• Strong understanding of data pipelines, ETL processes, SQL, and data modelling

• Ability to write and interpret data queries to inform product decisions

• Excellent communication and stakeholder management skills

• Strong product thinking — ability to break down complex problems into simple product solutions

• Education: BE/MCA or equivalent.
• Solid experience in software testing, with a combination of development experience being a plus.
• Good knowledge of web and mobile testing principles and techniques.
• Familiarity with various technologies, including Web and Client-Server.
• Good understanding of testing methodologies, such as Waterfall, Agile, and Iterative.
• Competent in functional testing (manual and automation) with a good understanding of basic testing techniques.
• Hands-on experience with testing tools relevant to web and mobile testing (e.g., Selenium, Appium).

🔥 Overview: Every year Trillions of dollar cross-border trade is done but still businesses have to face huge problems such as manual paperwork & compliance, unorganized processes, messy communication & collaboration, etc. At https://tradeflo.co/">Tradeflo we are digitizing, automating and simplifying workflow for Exporters and importers. We are on a mission to make 40 Million EXIMPrenuer's businesses simpler, faster and better.

Tradeflo is backed by Tier A global investors, unicorn start-up founders and industry experts. Our team comes from top institutes and founded a start-up in a similar domain.

As an early-stage member of the team, some of your responsibilities will include:

• Build out the stellar Technology & Engineering team to scale product
• Taking end-to-end responsibility for the strategy & implementation for building Technology.
• Doing multiple role - sometimes writing code, sometimes managing the tech team, sometimes attracting talent, etc.

• 3 to 5 Years of Experience and Proficiency with any part of Web technology stack.
• Have experience in working with early-stage high growth startup and building team.

📈 This is senior most technology role and long-term opportunity. Compensation is lot more focused on equity and long-term wealth creation.

We are currently looking for "Business Development Executive" for US IT staffing for our branch office in Noida. 

Location:

Head Field Solutions Pvt. Ltd

B-8, Sector 59 (Noida)

Job Profile:

It is a sales position responsible for developing, maintaining, and growing business within the IT/Engineering niche.
Activities include client development, meeting sales objectives, obtaining requisitions/job orders, building relationships, penetrating client accounts and ensuring delivery.

Roles & Responsibilities:

• The primary focus is to bring new business from new and existing clients.
• Define and develop lead generation strategies and marketing plans for new accounts & to further penetrate existing accounts.
• Maintains an ongoing relationship with prospective clients, continuously assessing and communicating how Head Field as a Staffing Solutions can meet their needs.
• Negotiates contractual terms and conditions for employment services, and works with the operations and recruiting teams to ensure smooth handoffs.
• The candidate should:
• Work on getting Contract Staffing requirements from direct clients /Tier-1 Vendors and closing open positions.
• Cold calling and Market research to locate the potential Vendors/Clients.
• Should provide timely feedback to the management regarding performance, activity reports and account strategy concerns. 
• Expertise generating new business for IT Staff Augmentation Services.
• Excellent interpersonal, rapport-building and negotiation skills.
• Expert in Delivery Management / Client Servicing.

Desired candidates profile:

The candidate must possess a proven ability to prospect, develop business and build relationships.

• 0-3 years of experience as BDE/BDM in US Staffing.
• In addition, they must demonstrate a strong customer focus and personal leadership and solid negotiation and presentation skills.
• Individuals experienced in sales and account management who are persistence and have a strong drive to win over new clients and build new business are the best fit.
  
  

Benefits:

• Employee friendly Corporate Work culture 
• Excellent Salary structure
• Timings are fixed (6:30 pm to 3:30 am) with Saturday and Sunday Off
• Best in class infrastructure 
• In-House Meals are available.
• Strong recognition for our employees, giving them excellent career path.

DATA ENGINEERING CONSULTANT

About NutaNXT: NutaNXT is a next-gen Software Product Engineering services provider building ground-breaking products using AI/ML, Data Analytics, IOT, Cloud & new emerging technologies disrupting the global markets. Our mission is to help clients leverage our specialized Digital Product Engineering capabilities on Data Engineering, AI Automations, Software Full stack solutions and services to build best-in-class products and stay ahead of the curve. You will get a chance to work on multiple projects critical to NutaNXT needs with opportunities to learn, develop new skills,switch teams and projects as you and our fast-paced business grow and evolve. Location: Pune Experience: 6 to 8 years

Job Description: NutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer's business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.

Mandatory Skills: -

1. Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines with Python or Scala - Hands-on experience with at least one of the leading public cloud data platforms (Ideally Azure)
2. - Experience with different Databases (like column-oriented database, NoSQL database, RDBMS)
3. - Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Databricks, Azure Data Factory, Spark, Spark Streaming, etc
4. . - Understanding of data modeling, warehouse design and fact/dimension concepts - Good Communication

Good To Have:

Certifications for any of the cloud services (Ideally Azure)

• Experience working with code repositories and continuous integration • Understanding of development and project methodologies

Why Join Us?

We offer Innovative work in AI & Data Engineering Space, with a unique, diverse workplace environment having a Continuous learning and development opportunities. These are just some of the reasons we're consistently being recognized as one of the best companies to work for, and why our people choose to grow careers at NutaNXT. We also offer a highly flexible, self-driven, remote work culture which fosters the best of innovation, creativity and work-life balance, market industry-leading compensation which we believe help us consistently deliver to our clients and grow in the highly competitive, fast evolving Digital Engineering space with a strong focus on building advanced software products for clients in the US, Europe and APAC regions.

Must have skills :

JAVA 8, Apache Camel, Design Patterns, Web Services (REST), RabbitMQ, Build Tool (Maven or Gradle), Version Control (SVN or Git), SQL/PLSQL, Javascript, HTML, CSS, JQuery, Application Server (Websphere/JBoss/Weblogic etc.), JUnit.

Preferred skills :

- Spring, Spring MVC, Spring Boot, Hibernate/Spring Data JPA, .

- Experience working on Node JS/Angular JS/React JS

- Working experience on Docker

- Experience working on Agile methodologies

 B.E/B.Tech/M.C.A/M.Sc(Computer science ) with first division.

- AWS Cloud exposure.

- Basic skills in using the Unix operating system logging on, sudo to another ID, navigating directory structures, debugging simple problems.

- Hands-on experience with building enterprise applications.

- Excellent trouble-shooting skills.

- Thoroughly understanding business problems and the business domain, and how potential solutions may address problems and enhance business capabilities.

- Experience in designing/development (design patterns) and testing of enterprise class systems.

- Good written and verbal communication skills.

- Ability to adapt to changing requirements.

- Ability to take direction and work with minimal supervision.

- Ability to work in deadline driven environment, and respond creatively to pressure.

- Ability to work on multiple projects simultaneously.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.