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Quantative Data Scientist
1 month ago
Are you looking for a challenging and rewarding career in Data Sciences?
Join Our Tiger Tribe If you are a highly motivated and experienced professional who is looking for a chance to make a real difference, we encourage you to apply.
Job Title: Data Scientist - Quant
India Locations: Chennai | Hyderabad | Bangalore
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Come work with us to provide certainty to shape a better tomorrow.
We are a Great Place to Work-Certified™ (2022-24) and have been consistently ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc.
Job Description:
As a Quantitative Data Scientist at Tiger Analytics, you will play a crucial role in analyzing complex datasets, developing predictive models, and providing actionable insights that drive business growth and innovation. You will collaborate closely with cross-functional teams to understand business objectives, identify opportunities, and develop scalable solutions to address them.
Responsibilities:
- 4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
- Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract valuable insights.
- Develop predictive models and algorithms to optimize business processes, improve customer experiences, and drive revenue growth.
- Design and implement experiments to test hypotheses, measure the impact of interventions, and optimize strategies.
- Work closely with stakeholders to understand business requirements, define key performance indicators (KPIs), and develop data-driven solutions.
- Communicate complex findings and technical concepts to non-technical stakeholders clearly and concisely.
- Collaborate with data engineers to design and implement scalable data pipelines and infrastructure.
- Stay up-to-date with the latest advancements in data science, machine learning, and quantitative analysis techniques.
- Mentor and provide guidance to junior members of the data science team.
You are important to us, let’s stay connected
Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Ticking most of the boxes but not all? is still fine. Apply anyway as we have good space to learn and grow.
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