




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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8pm-5am (US)
** Must have excellent communication skill in English .
Freshers also can apply.
Interview Mode: Face to face
Contact: Sanjukta (HR) @ 90381^69266/ sanjukta.seal at the rate adretsoftware.com
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- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
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- Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
- SQL
- Ruby or Python(Ruby preferred)
- Apache-Hadoop based analytics
- Data warehousing
- Data architecture
- Schema design
- ML
- Prior experience of 2 to 5 years as a Data Engineer.
- Ability in managing and communicating data warehouse plans to internal teams.
- Experience designing, building, and maintaining data processing systems.
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
- Excellent analytic skills associated with working on unstructured datasets.
- Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.
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- Build the product strategy and roadmap in line with customers problems and company's vision
- Lead a set of cross functional teams by translation of the product strategy into detailed requirements and prototypes to drive the product development goals
- Identify market opportunities with research and competitive analysis and integrate it into product requirements to enhance user satisfaction
- Analyze complex use cases with experience in using analytics platforms to understand product usability and break them down to simplify user experience
- Design simple and intuitive user interfaces through wireframes and mock-ups
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- Masters Degree in Computer Science, Information Technology, Business Management, Statistics or related field
- 3+ years of experience managing web and mobile products with a background in technical product management or engineering
- 7+ years of experience in building global enterprise SaaS products
- Prior experience in logistics, supply chain, e-commerce or transportation domain is a plus
- Proven ability to drive large scale products with deep understanding of agile, high collaboration and leadership in a highly accelerated work environment
- Excellent client-facing and internal communication skills with a fair understanding of what makes a good user experience and beautiful design
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- 7 years of experience as a Solutions Architect/Developer, designing and implementing global cloud-based solution architectures for PaaS, IaaS or SaaS.
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1.Should have good knowledge of any technology
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Should have handled small/medium projects in the past.
Prepare product and project plans in coordination with the sales team and tech team.
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Experience of 3-4 years in Project Management
2-3 years in a PMO role
Overall experience of 6-8 years
Preferably from Product Organisations. But not a must.
Experience in preparing and reviewing Project Plans
Understanding of project governance and process compliances
Deep understanding of Project tracking and Risk assessment.
Experience of preparing Project reports, Snapshots, MIS.
Good team player - as he/she will need to work closely with PMs and other internal teams.

