Data Scientist

Key Responsibilities

•Manage end-to-end merchandising for handknit garment and wool export products — from

sampling through final shipment.

•Oversee and coordinate designers and artisans, ensuring design intent is accurately

translated into production.

•Serve as the key point of contact between buyers, design teams, artisans, and vendors.

•Lead product development cycles: sampling, costing, correction rounds, and buyer

approvals.

•Negotiate pricing and delivery terms with vendors and suppliers.

•Track production timelines, manage bottlenecks, and maintain quality standards throughout.

•Maintain merchandising reports, costing sheets, and sample/order trackers.

Required Skills & Qualifications

•Bachelor's degree in Fashion Merchandising, Textile Management, or a related field.

•0–6 years of experience in garment, textile, wool, or export merchandising.

•Prior experience at a design house or design-led production environment is essential.

•Strong working knowledge of garment and textile construction — sufficient to manage and

evaluate designer output.

•Hands-on experience with handknit or artisan garment production processes.

•Experience in buyer handling, vendor coordination, and artisan management.

•Strong negotiation, communication, and organisational skills.

•Proficiency in Excel and standard merchandising tools.

Good to Have

•Exposure to wool, specialty fibres, or craft-based product lines.

•Knowledge of trade processes.

•Graduates from recognised design institutions will have an added advantage.

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Mandatory Criteria

1. 2–5 years of experience in sales/business development within a D2C or product-based industry.
2. Proven track record of achieving targets and driving sales growth.
3. Strong communication, negotiation, and presentation skills.
4. Leadership capability to manage team performance and ensure alignment with company goals.
5. Proficiency in CRM tools and lead generation techniques is an advantage.

OKR

1. Develop, implement, and own sales strategies to achieve business targets.
2. Identify and explore new revenue streams and market opportunities.
3. Deliver persuasive sales pitches and convert qualified leads.
4. Manage a small team while also handling direct client interactions.
5. Build and nurture long-term client relationships to ensure retention and repeat business.
6. Maintain and update client databases and sales reports in an organized manner.

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About Us - https://www.sibinfotech.com/

SIB Infotech is a digital marketing organization committed to boosting brand's visibility in the ever-changing online world. At SIB Infotech, we're creating immersive digital experiences that deeply engage audiences and foster meaningful connections. With a comprehensive array of services, spanning strategic Search Engine Optimization (SEO) to expert Pay-Per-Click (PPC) Management, captivating Graphic Design, compelling Social Media Marketing (SMM) strategies, and tailored Software Development solutions, we offer comprehensive assistance to help and succeed on the internet.

Exciting Opportunity for SEO Manager

We are seeking a talented and experienced SEO Manager with a focus on content optimization to lead our SEO efforts and drive organic traffic growth. As the SEO Manager, you will be responsible for developing and executing content-focused SEO strategies to improve website visibility, increase rankings, and drive quality traffic. The ideal candidate will have a proven track record of success in content optimization, strong leadership skills, and a deep understanding of SEO best practices.

Key Responsibilities:

Strategy Development

Develop and execute comprehensive SEO strategies aligned with business goals and objectives. This involves conducting thorough keyword research, competitor analysis, and industry trends assessment to identify opportunities for organic growth.

On-Page and Off -Page Optimization with link building

Optimize website content, meta tags, headings, and internal linking structure to enhance relevance and improve visibility on search engine results pages (SERPs).

Manage off-page SEO initiatives, including building high-quality backlinks from authoritative websites through outreach, content partnerships, and directory submissions. Implement link-building strategies to improve domain authority and increase organic traffic.

Technical SEO Management

Conduct technical audits of website infrastructure and address technical issues that may impact search engine rankings, such as site speed optimization, mobile responsiveness, crawl errors, and schema markup implementation. Collaborate with web development teams to implement technical SEO enhancements.

Content Strategy and Optimization

Collaborate with content creators to develop SEO-friendly content that aligns with target keywords and addresses user search intent. Optimize existing content and identify opportunities for new content creation based on keyword research and industry trends.

Performance Monitoring and Reporting

Track and analyze key SEO performance metrics, including organic traffic, keyword rankings, backlink profile, and conversion rates. Generate regular reports and dashboards to provide visibility into SEO performance and ROI. Use data-driven insights to identify areas for improvement and optimization.

Algorithm Updates and Industry Trends

Stay abreast of search engine algorithm updates, industry trends, and best practices to adapt strategies accordingly and maintain competitiveness in search results.

Client Communication and Team collaboration

Serve as the primary point of contact for clients regarding SEO initiatives, provide updates on campaign progress, address concerns, and offer strategic recommendations for improvement.

Work closely with cross-functional teams, including web developers, designers, content creators, and digital marketers, to ensure seamless integration of SEO efforts with overall digital marketing strategies.

Requirements:

• Any Bachelor's degree in marketing, business, computer science, or related field.
• 3 - 5 years of experience in SEO, with a focus on content optimization
• Proven track record of success in developing and implementing effective SEO strategies that drive measurable results.
• Strong analytical skills and the ability to interpret data and insights to make informed decisions.
• In-depth knowledge of SEO tools and software, such as Google Analytics, Google Search Console, SEMrush, Moz, etc.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and communicate effectively with stakeholders at all levels.
• Ability to stay organized, prioritize tasks, and manage multiple projects simultaneously in a fast-paced environment.

• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Own code for the products with responsibilities including but not limited to designing, developing, testing, maintenance of products.
• Building RESTful services and do DevOps.
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Skills & Requirements

• Good knowledge and experience of working with backend systems; designing server-side architecture, including production maintenance experience are must-haves.
• At least 1-8 years of experience in any programming languages like Java, Ruby, PHP, Python, and Node.js(Node.js preferred).
• Understanding of micro-services-oriented architecture.
• Experience with Databases design (SQL, NoSQL) and analytics
• Experience in driving and delivering complex features/software modules from technical design to launch.
• Expertise with unit testing & Test Driven Development (TDD)
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.