Data Scientist at Tiger Analytics · Bengaluru (Bangalore), Chennai, Hyderabad · 2 - 5 years · ₹2L - ₹10L / yr · Profitable · Posted 22 Dec 2023
Job brief
We are looking for a Lead Data Scientist to lead a technical team and help us gain
useful insight out of raw data.
Lead Data Scientist responsibilities include managing the data science team, planning
projects and building analytics models. You should have a strong problem-solving ability
and a knack for statistical analysis. If you’re also able to align our data products with our
business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by
making the most out of our data.
Responsibilities
● Conceive, plan and prioritize data projects
● Ensure data quality and integrity
● Interpret and analyze data problems
● Build analytic systems and predictive models
● Align data projects with organizational goals
● Lead data mining and collection procedures
● Test performance of data-driven products
● Visualize data and create reports
● Build and manage a team of data scientists and data engineers
Requirements
● Proven experience as a Data Scientist or similar role
● Solid understanding of machine learning
● Knowledge of data management and visualization techniques
● A knack for statistical analysis and predictive modeling
● Good knowledge of R, Python and MATLAB
● Experience with SQL and NoSQL databases
● Strong organizational and leadership skills
● Excellent communication skills
● A business mindset
● Degree in Computer Science, Data Science, Mathematics or similar field
● Familiar with emerging/cutting edge, open source, data science/machine learning
libraries/big data platforms
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tiger Analytics
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We are looking for a hands-on Lead Data Scientist with strong analytical, machine learning, and problem-solving skills to work in a client-facing environment.
The role requires someone who can independently identify opportunities, formulate hypotheses, design solutions, and drive initiatives from analysis through experimentation and production implementation. The candidate should also be comfortable guiding team members and working closely with engineering and client stakeholders.
Responsibilities:
- Analyse complex datasets to identify patterns, issues, and opportunities.
- Formulate and validate hypotheses through structured analysis and experimentation.
- Build and improve machine learning and anomaly detection solutions.
- Design end-to-end solutions considering data, modelling, engineering, and production constraints.
- Perform root cause analysis across models, data, and systems.
- Work with engineering teams on feature pipelines, model inference, and production deployment.
- Lead technical discussions with clients and communicate recommendations, trade-offs, and expected impact.
- Guide team members on analysis, modelling, and solution design.
- Proactively identify initiatives and roadmap items that can add value to the project.
Requirements:
- Strong foundation in statistics and machine learning.
- Strong hands-on experience with Python and SQL.
- Hands-on experience with Python ML and data frameworks such as Pandas, NumPy, scikit-learn, TensorFlow/Keras, Dask, Matplotlib, Boto3 SageMaker Python SDK, and Horovod.
- Strong data analysis, hypothesis-generation, and problem-solving skills.
- Experience with standard supervised and unsupervised ML techniques.
- Experience with anomaly detection techniques such as Isolation Forest and Autoencoders.
- Experience building and deploying production ML solutions.
- Working knowledge of data engineering and real-time / batch inference environments.
- Strong communication and stakeholder-management skills.
- Ability to lead technical work and guide cross-functional teams.
Good to Have:
- Experience in fraud detection or risk modelling.
- Experience with Graph Neural Networks.
- Exposure to real-time systems, streaming features, and low-latency data stores.
- Experience in AdTech, e-commerce, gaming, mobile applications, or similar high-volume consumer platforms.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon