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Data Scientist

Data Scientist

Zoxima Solutions Pvt. Ltd.INDIA
30+ days ago
Job description

Location : Noida

Job Type : Fulltime (Hybrid)

About the Company

Zoxima Solutions Private Limited is a very innovative IT company based in Noida (NCR). We provide technology and business process consulting services / solutions to large enterprises, with a focus on CRM and Digital Transformation solutions. We specialize in large and complex implementations, where customers want to leverage CRM & other digital technologies, as a strategy to transform their businesses. We work on Salesforce Platform, Microsoft Dynamics 365 CRM, and Power Platform, and have built assets & industry specific solutions to cater to industry verticals like Manufacturing, Media, Entertainment, Digital Tech., Retail, Consumer goods etc. We are one of the fastest growing companies in its domain.

Why Zoxima?

We provide an excellent career & growth opportunity to individuals, who are aspiring to grow fast and are looking for roles, which not only challenge them but also provide an immense opportunity to learn.

Since we work on the Digital Transformation space and help our customers to use various IT tools & interventions like CRM, Mobile Apps, IOT, BI, AI etc, an individual will always work on the latest in the IT space and continue to stay ahead in technology space.

Another reason to join us is that we are not only growing very rapidly in India and US but, have very ambitious plans to grow our business in overseas markets like Europe, Middle East etc.

Visit us to know more about us.

Roles and Responsibilities :

As a Data Scientist, you will be responsible for analysing large datasets, developing predictive models, and providing data-driven insights to support business decisions. You will apply advanced statistical techniques, machine learning algorithms, and data visualization tools to solve complex problems and optimize business performance.

Key Responsibilities :

Data Analysis & Processing

  • Analyse, manipulate, and process large datasets using statistical software.
  • Clean and preprocess raw data to ensure accuracy and consistency.
  • Apply sampling techniques and determine appropriate methodologies for data collection and analysis.
  • Identify patterns, trends, and relationships within data to support strategic decision-making.

Predictive Modelling & Machine Learning

  • Apply feature selection algorithms to improve model accuracy in predicting key outcomes (e.g., sales, attrition, healthcare usage).
  • Develop and test mathematical and statistical models for forecasting and optimization.
  • Compare models using statistical performance metrics such as loss functions and explained variance.
  • Continuously refine and validate models to ensure high predictive accuracy.

    • Business Problem-Solving & Strategy

  • Identify business problems or management objectives that can be addressed through data analysis.
  • Provide data-driven recommendations to optimize budgeting, staffing, and marketing decisions.
  • Collaborate with business leaders and stakeholders to develop data-driven solutions for operational efficiency.
  • Develop scientific or mathematical models to support strategic planning.

    • Data Visualization & Reporting

  • Create graphs, charts, and dashboards to visualize insights and trends effectively.
  • Prepare analytical reports that summarize findings and provide actionable recommendations.
  • Deliver oral or written presentations of research results to management and other stakeholders.
  • Develop interactive visualizations to communicate complex data-driven insights.

    • Research & Continuous Learning

  • Stay up-to-date with emerging trends in data science, analytics, and AI technologies.
  • Read scientific articles, conference papers, and industry reports to identify innovative techniques.
  • Recommend and implement cutting-edge data analysis methodologies to improve efficiency and accuracy.

    • Programming & Algorithm Development

  • Write and optimize custom scripts and functions in programming languages such as Python, R, SQL, or Java.
  • Develop automated data processing workflows for large-scale analysis.
  • Implement and maintain data science models for operational decision-making.

    • Required Skills & Competencies :

  • Proficiency in data analysis tools (e.g., Python, R, SQL, SAS, MATLAB).
  • Expertise in machine learning algorithms and statistical modeling techniques.
  • Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
  • Experience with big data technologies (e.g., Hadoop, Spark, AWS, Google Cloud).
  • Ability to analyze business or financial data and derive actionable insights.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and presentation skills for translating data insights into business strategies.
  • Knowledge of survey design, polling methodologies, and data collection techniques.
  • Experience in writing and optimizing code for data science applications.

    • Required Qualifications :

  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 1 year of experience in data science, machine learning, or business analytics.
  • Strong knowledge of statistical analysis, predictive modelling, and AI technologies.
  • Hands-on experience with programming languages (Python, R, SQL, Java, etc.).
  • Industry certifications in Data Science, Machine Learning, or AI (preferred but not mandatory).

    • Perks & Benefits :

  • Youll get to work in one of the hottest and fastest-growing techs in the world right now.
  • Competitive salary.
  • Encouragement to be innovative and challenge the status too.
  • Exposure to industry-leading training and development.
  • Positive culture and limitless growth.
  • Performance-based recognition and rewards.
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    Data Scientist • INDIA

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