Join Our Team


At DataXL Solutions, we believe that our people are our greatest asset. We’re on a mission to revolutionize the way businesses operate through data science innovation, and we need passionate, talented individuals to help us achieve that goal. If you’re excited about transforming data into actionable insights and developing cutting-edge products, we’d love to hear from you!

Why Work With Us?

Innovative Projects

  • Cutting-Edge Work: Engage in projects that push the boundaries of data science and technology.
  • Latest Technologies: Work with the newest tools and platforms in the industry.

Professional Growth

  • Learning Opportunities: Access to workshops, training programs, and conferences.
  • Career Advancement: Clear pathways for growth and promotion within the company.

Collaborative Culture

  • Team Environment: Join a dynamic team that values collaboration and open communication.
  • Creative Freedom: Contribute ideas and innovations in an encouraging atmosphere.

Competitive Benefits

  • Attractive Compensation: Competitive salaries and performance-based bonuses.

Flexible Work Environment

  • Work-Life Balance: Flexible working hours and remote work options.
  • Modern Workspace: Access to state-of-the-art facilities and resources.

Our Values

  • Integrity: Upholding the highest ethical standards in all our endeavors.
  • Excellence: Striving for perfection in every project we undertake.
  • Innovation: Encouraging creativity and out-of-the-box thinking.
  • Collaboration: Fostering a team-oriented environment.
  • Customer Focus: Prioritizing the needs and success of our clients.

Current Openings

We are expanding and looking for talented individuals to fill the following positions:

1. Data Scientist

Responsibilities:

  • Develop and implement machine learning models.
  • Analyze large datasets to extract meaningful insights.
  • Collaborate with cross-functional teams to understand business needs.

Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
  • Proficiency in Python or R.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.

2. Machine Learning Engineer

Responsibilities:

  • Design and deploy scalable machine learning systems.
  • Optimize algorithms for performance and scalability.
  • Work closely with data scientists to implement models.

Qualifications:

  • Strong programming skills in Python, Java, or C++.
  • Experience with cloud platforms (AWS, Azure, Google Cloud).
  • Familiarity with big data tools like Hadoop or Spark.

3. Data Analyst

Responsibilities:

  • Perform data cleaning, transformation, and analysis.
  • Create dashboards and reports using visualization tools.
  • Provide insights to support strategic decision-making.

Qualifications:

  • Degree in Mathematics, Economics, Computer Science, or related field.
  • Proficiency in SQL and tools like Tableau or Power BI.
  • Strong analytical and problem-solving abilities.

4. Software Developer

Responsibilities:

  • Develop and maintain software applications.
  • Collaborate with the team to design system architectures.
  • Ensure code quality through testing and code reviews.

Qualifications:

  • Experience with languages like Java, C#, or Python.
  • Familiarity with agile development methodologies.
  • Knowledge of database systems and RESTful APIs.

5. Business Analyst

Responsibilities:

  • Gather and document business requirements.
  • Analyze business processes and identify improvement areas.
  • Act as a liaison between stakeholders and the technical team.

Qualifications:

  • Degree in Business Administration, Information Systems, or related field.
  • Excellent communication and documentation skills.
  • Experience with business analysis tools and techniques.

How to Apply

Interested candidates should submit the following:

  • Resume/CV
  • Cover Letter
  • Portfolio or GitHub Link (if applicable)

Send your application to: careers@dataxl.solutions


Internship Opportunities

We offer internships for students and recent graduates eager to gain hands-on experience in data science and technology.

Available Internship Positions:

  • Data Science Intern
    • Assist in data analysis and model development.
    • Learn from experienced professionals.
  • Software Development Intern
    • Contribute to software projects under supervision.
    • Enhance your coding and problem-solving skills.

To Apply for Internships:


Our Recruitment Process

  1. Application Review
    • Our HR team reviews all applications to shortlist candidates.
  2. Initial Interview
    • A phone or video interview to discuss your experience and interest.
  3. Technical Assessment
    • Complete a technical test or project relevant to the role.
  4. Final Interview
    • Meet with team leads and management for a comprehensive discussion.
  5. Offer
    • Successful candidates will receive an offer letter outlining terms of employment.

Life at DataXL Solutions

Team Culture

  • Collaborative Environment: We encourage teamwork and value each member’s input.
  • Diversity & Inclusion: An inclusive workplace where diversity is celebrated.

Employee Development

  • Continuous Learning: Access to courses, workshops, and certifications.
  • Mentorship Programs: Pairing with experienced professionals for guidance.

Work-Life Balance

  • Flexible Scheduling: Options to accommodate personal commitments.

Employee Testimonials

“DataXL Solutions provides an environment where innovation thrives, and everyone’s ideas are valued.”
Amit Kirti, Data Scientist

“The mentorship and growth opportunities here have significantly advanced my career.”
Arindam Pal, Machine Learning Engineer


FAQs

Q: What is the work location?
A: Our main office is in Noida, India, but we offer remote work options depending on the role.

Q: What benefits do you offer?
A: We offer competitive salaries, flexible working hours, and professional development opportunities.


Equal Opportunity Employer

DataXL Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Contact Us

For any inquiries regarding careers, please contact: