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Company Description

Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website.

Responsibilities:

Non-Direct Routing (NDR) Optimization:

- Develop and implement strategies to optimize NDR processes, minimizing transportation costs while maintaining service levels.

- Collaborate with internal stakeholders (sales, procurement, customer service) to identify NDR opportunities and -streamline order fulfillment.

- Manage carrier and logistics service provider relationships, negotiating rates, managing contracts, and ensuring compliance with routing guidelines.

Reverse Logistics (RVP) Management:

- Oversee the RVP process, encompassing returns, exchanges, and product recalls, to minimize costs and maximize recovery value.

- Partner with customer service, repair, and warehouse teams to streamline RVP processes and improve customer satisfaction.

- Manage relationships with reverse logistics partners, vendors, and service providers to ensure timely and efficient processing of returns and exchanges.

Pickup Coordination:

- Coordinate pickups from various locations (suppliers, warehouses, distribution centers) to optimize transportation efficiency and minimize costs.

- Schedule and monitor pickup activities, track shipment status, and resolve any issues or delays to ensure on-time pickup and delivery.

- Communicate pickup schedules and requirements to carriers and internal stakeholders for alignment with logistics plans.

Performance Monitoring & Continuous Improvement:

- Develop key performance indicators (KPIs) and metrics to measure logistics performance in areas like on-time - pickup/delivery, NDR utilization, and RVP processing time.

- Analyze logistics data and performance metrics to identify trends, root causes of issues, and opportunities for improvement.

- Lead cross-functional teams in implementing process improvements, best practices, and technology solutions to enhance logistics efficiency and customer service.

Qualifications:

- Degree in Supply Chain Management, Logistics, Engineering, or a related field (preferred).

- 1-3 years of experience in logistics operations, transportation management, or a similar role.

- Proven track record of identifying and implementing logistics process improvements.

- Strong analytical skills with proficiency in data analysis tools and techniques.

- Excellent communication, collaboration, and interpersonal skills with the ability to influence stakeholders across departments.

- Experience working with transportation management systems (TMS) a plus

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

about leap.club:
leap.club is a community led professional network for women. our mission is simple - more women in leadership positions. leaders from google, tinder, uber, bain, zomato, microsoft, along with solid entrepreneurs and professionals have joined our mission. we are funded by top angels and funds in India.

read what our members say about us here: https://love.leap.club/" target="_blank">https://love.leap.club/

read more about us and our culture here: https://leap.club/careers" target="_blank">https://leap.club/careers

about the role:

• you lead a team of member onboarding managers while onboarding new members and owning individual as well as team targets.
• in this role, you will be the face of leap and hold end to end responsibility for growing our community. female candidates are preferred since we are building a network for women.
• an ideal candidate would have exceptional communication and interpersonal skills, ability to hold an interesting conversation, high level of ownership and leadership skills.
• 4-5 years of solid sales/ client facing experience with at least a 1-2 years of experience leading a team are a huge plus!

1. Hands on Expert in UI/Front End Engineering/Development specifically React,
2. Redux, NodeJs who can code, design and own front end development and code.
3. Experience in React v16, Reach Redux, React Fibre and JavaScript advance (ES6+),
4. Experience in Advance State Management [Example: Redux, Mobx, RxJs, GraphQL etc]
5. Good experience on UI framework like Angular JS/ Vue JS/ Ext JS/jQuery/ React JS or equivalent SPA framework
6. Experience in HTML5, Javascript CSS3, ExpressJs, GraphQL
7. Strong understanding of Rest APIs, Web Sockets, Service Workers, HTTP/S Protocol, Web Security and Cloud Infrastructure, CI/CD, Web Packaging and Optimization, UX and Styling.
8. Expertise in Advance Java-Scripts
9. Knowledge and experience with Data Structure and Design methodologies.
10. Problem solving skill
11. Good experience working in Agile/Scrum teams
12. Good written and verbal communication skills.

About US: Newbie Soft Solutions is an IT service provider focused on providing solutions in niche areas to support and build future -ready, resilient solutions for medium sized industries and growth-focused technology organizations.

The name NEWBIE signifies a new chapter, a new beginning in the field of staffing solutions. Founded in 2015, we have grown from strength to strength with a strong presence across India, United States and Australia. Our offerings include Staffing Solutions, IT Consulting, Business Intelligence, Security Solutions, Legacy Application Management and Modernization. We value consistency, which is our core principle, to reach the end goal of complete user satisfaction. We constantly strive to outperform our competitors to become the leaders in digital revolution.

• Clear understanding of end to end communication of service calls via API Gateway/Service Mesh/Service Registry
• Experience on Springboot/SpringCloud/Restful Webservices
• Experience in containerisation (Docker) and Kubernetes in terms of creating container images and writing manifest files/helm charts on designing PODs/Side-car patterns etc.
• Good design experience on Web Applications (backend) & since we operate as a DevOps pod we would expect the person be involved in production deployments/support.
• Exposure to usage of CI-CD tools like Git/Jenkins/Maven/Sonar/Junit/CheckMarx/Netsparker/Cucumber