Overview: 

We are seeking a highly skilled Spectrum Optimization Subject Matter Expert (SME) with hands-on experience in frequency management with focus on self and third party interference mitigation within the unlicensed 5GHz band. The ideal candidate will have a proven track record of developing and implementing solutions that enhance link quality, minimize service impacts, and ensure SLA compliance in complex network environments. This project involves addressing challenges related to frequency interference among service providers, ISPs, and system integrators, requiring innovative approaches and robust technical expertise. 

Responsibilities: 

• Analyse and diagnose self and third-party interference issues within the 5GHz band.  

• Develop and refine solutions to optimize spectrum usage, reduce interference, and enhance service quality, including the implementation of a Link Quality Indicator and a Self-Organizing Network tool. 

• Develop understanding of already existing tool used to indicate link degradation. 

• Is comfortable in analysing large data and develop KPIs for indicating link degradation and interference. 

• Can assess spectrum usage and interference levels effectively across multiple data points 

• Collaborate with cross-functional teams to integrate spectrum optimization solutions  

Requirements: 

• Extensive hands-on experience in spectrum analysis, frequency management, and interference mitigation within the 5GHz band. 

• Strong background in network engineering, particularly in multi-vendor environments. 

• Familiarity with network management systems and optimization tools 

• Excellent problem-solving skills, with the ability to develop innovative solutions to complex technical challenges. 

• Effective communication and collaboration skills, with experience in training and supporting network operations teams. 

• Familiarity with Machine Learning and with Prescriptive Data Analysis (Optional) 

Job Description

We are seeking a highly skilled and experienced Data Scientist to join our dynamic team on a 3-month contract basis, with the potential for extension or conversion to a full-time role based on performance. The ideal candidate will have a strong background in Data Science with expertise in Data Mining, Machine Learning, and Python programming. You will be responsible for leveraging advanced analytics methodologies to develop robust solutions, primarily focusing on Regression Analysis and related problem statements. 

Required Skill Sets 

• Data Mining
• Linear Programming
• Machine Learning Engineering
• Neural Networks
• Python
• Regression Analysis

Essential Experiences: 

• Strong track record in successfully delivering Data Science solutions; min. 5+ years relevant experience 

• Experienced in building Regression related problem statements with various advanced analytics methodologies such as Linear Regression, Decision tree regressor, ANN or RNN, Machine Learning and Deep Learning. Further applications (clustering, classification, segmentation etc.) of Data Sciences 

• Experience in working with Sage Maker 

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model 

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy. 

• Strong experience with Python 

• Strong experience in using different Machine learning algorithms 

• Strong skills in statistical analyses with abilities in advanced data management and statistical programming using Python 

• Experience in visualizing insights from exploratory analysis for non-technical audience. 

Preferred Skills: 

• Experience in working with large-scale datasets and distributed computing (Hadoop, Spark). 

• Familiarity with cloud platforms (AWS, Azure, GCP) and their Machine Learning services. 

• Publications or contributions to the Data Science community (blogs, research papers, open-source projects). 

Qualifications: 

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field. 

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment. 

• Strong proficiency in Python for data analysis and modeling. 

• Expertise in applying Machine Learning algorithms such as SVM, Random Forest, Gradient Boosting, etc. 

• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and Neural Networks. 

• Solid understanding of statistical methods and their application in Data Science. 

• Experience with Sage Maker or similar tools for model development and deployment. 

• Excellent communication skills with the ability to present complex technical information clearly and concisely. 

Compensation or Salary:

Rs. 1,000/- per hour.

This is an exciting and rare opportunity to join a small yet well-capitalized company, on the ground floor, and prepare for a significant, aggressive scale over the next 2-3 years. The company is a FinTech company with a startup feel, looking to derive business value through the adoption of advanced predictive models including Artificial Intelligence and Machine Learning paired with a unique seamless customer experience. The company has been providing working capital to small businesses in Canada and the USA for over 10 years. They are applying predictive technology to large volumes of data and against a wide spectrum of business and owner data to make fast and accurate credit decisions. Speed, accuracy, and automation are causing the company to grow exponentially. 

A successful candidate will be a person who is innovative and will further differentiate financial products on the market to create more stickiness. The candidate enjoys working with many departments and wearing many hats as this person will be responsible for various projects inside the organization working with the Leadership team. With a “Growth Mindset” and Inclusive Team Culture, the company embraces differences. They are committed to furthering the culture of personal and professional growth while producing bottom line results. 

Qualifications: 

• 5+ years of industry experience in predictive & algorithmic modeling, data science, and data analysis. 
• Experience with ML fields, e.g., predictive analytics and financial modeling, statistical learning theory. 
• Experience with maintaining and monitoring ML models in a production environment 
• Expertise in modelling, analysis & building systems using Python. 
• Experience in diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with modern tools to develop models 
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations 
• Team player, open minded, motivated and dedicated 
• Strong communications with team members, ability to lead and mentor 

Responsibilities/Competencies: 

• Collaborate with business domain subject matter experts in various departments to understand the problem and the objectives. 
• Ability to translate complex data into actionable insights for a non-technical audience. 
• Research and build innovative predictive statistical models for all areas of the business 
• Provide mentorship to junior data scientists in aspects of machine learning, data and software engineering, and assist them with practical guidance, when needed 
• Maintain, tune, improve model behavior with live data for the company’s credit decision model for lending operations to drive profitability. 
• Entrepreneurial mindset 
• Highly Organized 
• Dynamic and able to handle many moving pieces at once. 
• Strong teaching and mentoring skills for the purpose of building up talent and delegating responsibilities to ensure maximum productivity and grow the team 
• Vocal and able to communicate needs inspire 
• Fully accountable for the success and failure of the Data Science team and its' people management 

Salary: $200k / Year

Role Overview: 

We are seeking dynamic and results-driven Freelance Marketing Representatives to join our team on a commission-based contract. The ideal candidate will be responsible for visiting various universities, engaging with students, and generating leads for our learning path programs. Your primary goal will be to convert these leads into registered participants, for which you will receive competitive compensation based on your conversion rate. 

Key Responsibilities: 

• Travel to assigned universities and actively engage with students and faculty. 
• Set up and manage informational booths at university events, fairs, and other appropriate venues. 
• Deliver compelling presentations to groups of students and faculty to generate interest in our programs. 
• Distribute marketing materials and collect contact information from potential leads. 
• Follow up with leads through phone calls, emails, and social media to convert them into registrations. 
• Maintain accurate records of interactions, leads, and conversions. 
• Meet or exceed weekly and monthly lead conversion targets. 
• Provide feedback on student interactions and suggest improvements for future marketing strategies. 

Requirements: 

• Knowledge/Experience in sales, marketing, or a related field; experience in educational services marketing is a plus. 
• Excellent interpersonal and communication skills. 
• Strong presentation and negotiation skills. 
• Ability to work independently and manage time effectively. 
• Comfortable with traveling and working irregular hours, including weekends. 
• Access to a reliable mode of transportation. 
• Enthusiastic about education technology and the impact of career-focused learning. 
• Bachelor's degree in marketing, Business, Education, or a related field is preferred. 

Compensation: 

• This is a purely commission-based position without a base salary. 
• Competitive commission structure based on the number of successful conversions. 
• Potential for high earnings based on performance and scaling of operations. 

What's the project's context? In this exciting project we are looking for someone with several years of experience as Future-Makers, Solution Innovators and Customer Whisperers and support us as a Rollout IT and process expert Description Project country & location: Romania Project language: Business fluent in English, speaking German is a plus Contract type: Contract for service Share of remote work in %: 70% Remote 30% On-site Main task/activity • Project Lead for S/4HANA rollouts • Scope implementation consists of domains Source-2-Pay (S2P), Book-2-Report (B2R), Bill-2-Cash (B2C), Hire-2-Retire (H2R) and the associated master data (MDM). • Steer a team of global experts and local specialists based on the S/4HANA industrialized procedures and standardized rollout work packages. • Responsible for planning, executing and delivering projects within specified timelines, budget, scope and quality standards while ensuring effective communication and collaboration among team members and stakeholders. • Track project progress, identify risks and implement mitigation strategies to ensure successful project completion Other tasks and activities • Act as 1st level of escalation within the project • Support the development and improvement of the global S/HANA project methods and tools for industrialized rollout approach and share best practices.