Data Scientist (Remote)
Jobs Ai · India
- Hybrid
- Part-time
- $237,000 / year
- India
Job highlights
- Analyze data and build predictive models.
- Design and run experiments for business outcomes.
- Evaluate AI and LLM model performance.
- Communicate findings to stakeholders.
- Work remotely with flexible options.
About the role
Data Scientist (Remote)
Role Overview
We are hiring a Data Scientist to turn data into decisions. In this role, you will run experiments, build models, and partner with product and leadership to drive business outcomes. The ideal candidate has strong statistical fundamentals, a pragmatic approach to modeling, and clear communication skills.
Key Responsibilities
- Design and analyze experiments, A/B tests, and causal studies.
- Build predictive models including regression, classification, forecasting, and ranking.
- Evaluate AI and LLM output quality using structured methodologies.
- Partner with product and leadership on data-driven decisions.
- Communicate findings through dashboards, documents, and presentations.
- Define and monitor key business metrics.
Required Skills & Qualifications
- 2+ years as a data scientist, quantitative analyst, or ML practitioner.
- Strong Python (Pandas, NumPy, scikit-learn) and SQL.
- Statistical fundamentals: hypothesis testing, experimental design, power analysis.
- Ability to explain technical concepts to non-technical stakeholders.
- Analytical rigor and curiosity.
- Experience with data visualization.
Preferred Qualifications
- Deep learning experience (PyTorch, TensorFlow, Hugging Face).
- LLM evaluation frameworks (DeepEval, RAGAS, LangSmith).
- Causal inference (DoWhy, EconML) or Bayesian methods.
- BI tools such as Tableau, Looker, or Power BI.
- Experience with R, Stata, or MATLAB.
What We Offer
- Remote and flexible work environment.
- Contract and full-time options available.
- Data-rich problem space with real business impact.
- Collaborative and analytics-driven team culture.
- Learning opportunities across modern data and ML tools.
Equal Opportunity Employer
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency
- Data Scientist
- Experiment Design
- Predictive Modeling
- Machine Learning
- Python
- SQL
- Statistical Fundamentals
- Data Visualization
- Communication Skills
- AI/LLM Evaluation
Skills & topics
- Data Scientist
- Machine Learning
- Predictive Modeling
- Experiment Design
- A/B Testing
- Python
- SQL
- Statistics
- Data Analysis
- Remote
How to get hired
- Tailor your resume: Highlight Python, SQL, statistical fundamentals, and ML experience relevant to data science roles at Jobs Ai.
- Showcase impact: Quantify achievements in experiment design, predictive modeling, and communicating technical findings.
- Prepare for technical interviews: Practice coding in Python (Pandas, scikit-learn) and SQL, and review statistical concepts.
- Demonstrate communication skills: Be ready to explain complex data concepts to non-technical audiences.
- Address preferred qualifications: If you have experience with deep learning or LLM frameworks, emphasize it.
Technical preparation
Master Python with Pandas and scikit-learn.,Practice SQL queries for data extraction.,Review statistical concepts: hypothesis testing.,Understand experimental design principles.
Behavioral questions
Explain a complex model to a non-technical person.,Describe a time you used data to drive decisions.,How do you approach problem-solving with data?,Discuss a challenging data analysis project.
Frequently asked questions
- How can I tailor my resume for the Data Scientist role at Jobs Ai?
- To tailor your resume for the Data Scientist position at Jobs Ai, emphasize your experience with Python (Pandas, NumPy, scikit-learn), SQL, statistical fundamentals (hypothesis testing, experimental design), and predictive modeling. Quantify your achievements in designing and analyzing experiments, building models, and communicating findings to both technical and non-technical stakeholders.
- What technical skills are most important for a Data Scientist at Jobs Ai?
- The most important technical skills for a Data Scientist at Jobs Ai include strong proficiency in Python with libraries like Pandas and scikit-learn, and expert-level SQL. A solid understanding of statistical fundamentals, including experimental design and hypothesis testing, is crucial. Experience with data visualization and the ability to build predictive models are also key requirements.
- What are the typical interview stages for a Data Scientist position at Jobs Ai?
- While specific stages can vary, interviews for a Data Scientist role at Jobs Ai typically involve an initial screening, followed by technical assessments focusing on Python, SQL, and statistics. You can expect a behavioral interview to assess communication and problem-solving skills, and potentially a case study or take-home assignment to evaluate your modeling and analytical abilities.
- Does Jobs Ai consider candidates without direct Data Scientist titles for this role?
- Yes, Jobs Ai considers candidates with relevant experience in quantitative analysis or ML practitioner roles. The focus is on demonstrated skills and qualifications. If your background includes significant experience in statistical analysis, modeling, and programming that aligns with the job description, your application will be reviewed.
- What kind of impact can a Data Scientist have at Jobs Ai?
- As a Data Scientist at Jobs Ai, you will have a significant impact by turning data into actionable decisions. You'll be instrumental in designing and analyzing experiments, building predictive models, and evaluating AI/LLM outputs, directly influencing business outcomes and product development in a data-rich environment.