Data Scientist – Remote

Job Overview

Location
Bengaluru, Karnataka, India
Job Type
FULL_TIME

Additional Details

Job ID
19084
Job Views
208

Job Description

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Job Summary

HR Service Jobs is seeking a highly skilled and analytical Data Scientist to join our dynamic remote team. The successful candidate will leverage data-driven insights to solve complex business challenges, design predictive models, and support strategic decision-making. This role involves working with large datasets, utilizing statistical and machine learning techniques, and collaborating closely with cross-functional teams to optimize performance and drive innovation across business processes.


Key Responsibilities

  • Collect, clean, and analyze large sets of structured and unstructured data from multiple sources.

  • Build predictive models and machine learning algorithms to solve real-world business problems.

  • Develop data visualizations and dashboards to communicate key insights to stakeholders.

  • Collaborate with product managers, engineers, and business analysts to identify opportunities for data-driven improvements.

  • Design and implement experiments (A/B testing) to measure the impact of data solutions.

  • Ensure data accuracy, integrity, and security throughout the data lifecycle.

  • Monitor model performance, conduct regular evaluations, and recommend improvements.

  • Document methodologies and present findings to both technical and non-technical audiences.


Required Skills and Qualifications

  • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Strong knowledge of Python, R, or SQL for data analysis and modeling.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Hands-on experience in data visualization tools (Tableau, Power BI, or matplotlib).

  • Solid understanding of statistics, probability, and data modeling concepts.

  • Familiarity with cloud-based data platforms (AWS, GCP, Azure) is a plus.

  • Strong communication skills with the ability to translate complex data into actionable insights.

  • Excellent problem-solving, analytical thinking, and attention to detail.


Experience

  • 2–5 years of professional experience in a data science or data analytics role.

  • Proven track record of implementing machine learning or predictive analytics projects in a business environment.

  • Experience working with large-scale data systems and distributed computing environments preferred.


Working Hours

  • Full-time remote position.

  • Flexible working hours with expected availability for virtual team meetings and project updates.

  • Work-life balance prioritized with optional weekend availability for critical projects.


Knowledge, Skills, and Abilities

  • Advanced understanding of data structures, algorithms, and statistical techniques.

  • Ability to work independently and collaboratively within cross-functional teams.

  • Strong project management and time management skills.

  • Adaptability to new technologies and evolving data science methodologies.

  • High ethical standards when handling confidential and sensitive data.


Benefits

  • Competitive salary and performance-based bonuses.

  • 100% remote work flexibility.

  • Comprehensive health insurance coverage.

  • Paid time off, holidays, and wellness programs.

  • Continuous learning opportunities with access to online certifications and courses.

  • Collaborative, inclusive, and growth-oriented company culture.


Why Join HR Service Jobs

At HR Service Jobs, we value innovation, diversity, and excellence. As a Data Scientist, you will have the opportunity to work on impactful projects that shape data-driven decisions across industries. You will collaborate with talented professionals, gain exposure to cutting-edge technologies, and be part of a company that truly invests in your professional growth and success.


How to Apply

Interested candidates are invited to submit their resume, along with a cover letter detailing relevant experience and portfolio of past data science projects, to our official recruitment email us.
Only shortlisted candidates will be contacted for further interviews.

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