Data Scientist

at QuaXigma IT solutions Private Limited

Data Scientist

QuaXigma IT solutions Private Limited

Company

Home

Data Scientist

at QuaXigma IT solutions Private Limited

Posted by Murali Linga

3 - 5 yrs

₹6L - ₹10L / yr

Tirupati

Skills

Python

Machine Learning (ML)

SQL

EDA

Data Analytics

Data Science

Pattern recognition

Microsoft Windows Azure

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.

Data Scientist

Job Id: QX003

About Us:

Position Overview:

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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About QuaXigma IT solutions Private Limited

Founded :

2019

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

N/A

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jQuery

+2 more

We are actively looking for a technology superstar. The candidate should be a dynamic and pro-active programmer, interest to create disruptive solutions, love for learning is a must along with following: - Hands-on experience in building applications with Angular 4+, best practices, pitfalls, and commonly used libraries - Experience in handling real-time data - Understanding of CSS box model - Experience in writing modular and maintainable code - Good understanding of the semantic meaning of HTML elements - Integration of APIs and WebSockets - Knowledge of CSS flexbox (good to have) - Experience with test frameworks - Comfortable with agile methodologies - Excellent communication skills

UI Developer

at YuktaMedia

1 video

3 recruiters

Posted by Pranjali Wandrekar

Pune

4 - 7 yrs

₹8L - ₹10L / yr

Fullstack Developer

Javascript

HTML/CSS

User Interface (UI) Design

Full Stack Developer Either Ready to work or working in a fast-paced start up environment. Experience- 4 years of experience Skills Required- Angular 2+, AngularJs, Javascript, HTML/CSS, jQuery, AJAX, Bootstrap Additional skills(Good to have): Java sprint boot, rest api development, Sql/NoSql db knowledge Job description An experience with writing optimized JavaScript and proficient understanding of client-side scripting and JavaScript frameworks, including Angular 2+, AngularJs and JQuery. Proficient understanding of web markup, including HTML5, CSS3 and ability to create advanced layout using HTML and CSS Basic understanding of server-side CSS pre-processing platforms, such as LESS or SASS. Good understanding of Twitter Bootstrap and responsive designs. Good to have understanding of Server Side technologies like JAVA, Python or Node JS. Your Responsibility To build reusable code and libraries for future use. Implement new features and optimize the existing ones To ensure the technical feasibility of UI/UX designs. To assure that all user input is validated before submitting to back-end. To collaborate with other team members and stakeholders. To interact with client and business users.

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