Urgent Opening Business Development Manager ( B2B Sales )

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Role Description

This is a full-time, remote role for a Frappe and ERPNext Developer. The Developer will be responsible for designing, developing, and maintaining Frappe and ERPNext applications. Daily tasks include customizing modules, integrating third-party systems, troubleshooting and resolving software issues, and working closely with cross-functional teams to enhance system efficiency and user experience.

Qualifications

1. Proficiency in Frappe and ERPNext development
2. Experience with Python, JavaScript, and web technologies
3. Understanding of ERP workflows and business processes
4. Skills in database management (MySQL, PostgreSQL)
5. Strong problem-solving and troubleshooting abilities
6. Ability to work independently and remotely
7. Excellent communication and teamwork skills
8. Bachelor's degree in Computer Science, Information Technology, or related field
9. Experience in the healthcare industry is a plus
10. Have experience in customised the frappe crm

Integrations SME

• 5 - 7 years of IT experience relevant to this position.
• Mandatory Skills:
• Experience in Development of Integrations using OIC for the Oracle Fusion Modules like Financials / SCM / HCM
• Good hands-on experience in monitoring and debugging of OIC integration and migration of OIC components.
• Excellent client interfacing skills / working with IT as well as business stakeholders and writing technical design documents.
• Should be able to review the requirements and design with business and also provide estimates for various enhancements on integrations
• Hands-on experience in data migration/integration methods SOAP and Rest web services, FBDI, BIP, and HDL.
• Hands-on analysis, design, testing, implementation, and post-implementation experience.
• Good to Have:
• Should have excellent skills in Webservice technologies such as XML / XPATH / XSLT / SOAP / WSDL / XSD / JSON and REST Technologies
• Must have implemented integrations using web service and technology adapters like FTP / File / SOAP / REST / DB
• Hands on Experience on Encryption and Decryption in FTP
• Hands on experience on Mulesoft, Dell Boomi and SOA 

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. 

For this role, we're looking for someone that is a gaming streamer (mobile & PC), plays a variety of games, and can test out Sizzle’s various new features. Specifically, you will test each feature by streaming various games and making suggestions for improving the process. You will also test the quality of highlights produced and make suggestions for improvement.  You will work closely with the AI engineering, front end, product management, and data annotation teams.

You will:

• Stream various games as requested
• Test out each feature and provide feedback on user interface and quality of output
• Watch highlights generated and make suggestions on improvement
• Suggest new features
• Work closely with the engineering, product management and annotation teams to get the features implemented

You should have the following qualities:

• Be a passionate gamer
• Must be a regular streamer on Twitch and/or YouTube
• Play a variety of popular PC and mobile games (e.g. Call of Duty: Warzone, Fortnite, Free Fire, etc).
• Willingness to work hard and hit deadlines
• Work well with people
• Interested in learning about AI and computer vision
• Willingness to learn rapidly on the job

Skills:

Gaming, streaming, AI, computer vision, quality assurance, testing

Work Experience:  0 years to 3 years

∙ Responsible to promote IT Product and Services in to the National/ International Market through lead Generation.

∙ To identify business opportunities and drive profitable new business with client mapping, cold-calling, focused email campaigns, presentations, etc.

∙ Manage entire Sales life-cycle including cold calling, prospecting, lead qualification, product/service presentation, proposal presentation and sales closure.

Desired Candidate Profile

Your main responsibility will be designing and implementing applications that are written in PHP. This means you will work closely with front end developers to integrate backend components with the components they’re creating for users to interact with.

Responsibilities

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions
Skills And Qualifications
• Strong knowledge of PHP web frameworks such as cake php, Laravel, Yii, etc depending on your technology stack
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object oriented PHP programming

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis