
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.

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- work with peers in Product, QA, and other Engineering departments;
- coach and mentor team members;
- cautiously drive adoption of new technologies and processes;
- preserve our engineering values of quality, scalability, and maintainability;
- “see around corners” — identify blind spots and prioritize work across teams;
- work with international teams to ensure successful product development and delivery; and
- own the overall architecture and systems engineering for your products.
Ideal Candidate
- exceptional communication and organizational skills;
- experience recruiting for and building software engineering teams;
- the ability to inspire and motivate team members;
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- 6+ years of software development experience; and
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Responsibilities:
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Building and maintaining reusable code for future use.
Actively participate in code reviews.
Troubleshooting and debugging.
Following predefined design guidelines.
Timely delivery of tasks
Proficient and fast in implementing required processes across teams.
Innovative and open to trying/learning new things to improve the system or processes.
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Proven experience as a Full Stack Developer/Backend Developer
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Git/BitBucket
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Devops Engineer
Roles and Responsibilities:
As a DevOps Engineer, you’ll be responsible for ensuring that our products can be seamlessly deployed on infrastructure, whether it is on-prem or on public clouds.
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Work From Home
Start Up Background is preferred
Company Location: Noida
|
· Experience in leading a software team and managing software delivery project. · Strong experience in Python development in a full stack environment is a requirement, including , Flask · Strong Hands-on with VueJS/Vuex, JavaScript, React, Angular · Experience with SQLAchemy or similar ORM frameworks · Experience working with mapping APIs (e.g., Google Maps, Mapbox) · Experience using Elasticsearch and docker environment is a plus · Strong knowledge of SQL, comfortable working with MySQL and/or PostgreSQL databases · Understands concepts of Data Modeling · Experience with REST. · Experience with Git, GitFlow, code review process · Good understand with basic UI and UX principles |
Skills:
- Knowledge and experience of B2B Lead Generation in IT services
- Experience of Cold calling
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- Microsoft Office and associated systems, including CRM
- Social Networking (LinkedIn)
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- To use company databases to gain potential leads.
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Responsibilities
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Requirements
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Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Professional Services team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications.
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Amazon is an equal opportunity employer. Amazon or its Recruitment Partners do not charge any fee or security deposit from the candidate for offering employment.
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This is an upscaling company. Your recruitment would be based on only one factor, how easily you're able to convince me over the phone.
You're one of the initial employees of the company, so your responsibilities shall revolve around end to end sale and marketing of resumes, along with maintaining client relations.
Once onboarded, your payscale will depend on the kind of traffic and value you are bringing to the organization.
Here's wishing you good luck.








