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Data Science Lead

3 months ago

Mumbai, India Ventura Full time

About the company:


Ventura is an omnichannel trading and investment platform with a network of branches, sub-brokers, and digital channels. Founded in 1994, the company has entered the next growth phase by pivoting to a digital-first approach and strengthening its direct-to-consumer franchise. The company has carved out a separate fintech vertical tasked with digital transformation using cutting-edge technology and bringing in fresh talent.


Job Overview:


As a Data Science Lead, you will leverage your expertise in leading & driving data-driven solutions & insights for strategic decision making. Collaborate with Business stakeholders and cross functional teams to lead strategic and complex projects, design and implement data science solutions, ensuring best practices and mentoring/overseeing the data science team.


What you'll need to do:


Data Analysis & Modelling:

  • Design & Implement advanced statistical models, machine learning algorithms & predictive analytics to solve business problems
  • Analyse large/complex datasets to identify patterns, correlations and trends
  • Ensure use of best practices in data science methodologies and techniques including data management


Project Management:

  • Oversee the end to end delivery of all the data science projects, including scoping, design, development, testing and deployment
  • Define project scope, goals & deliverables in co-ordination with business stakeholders
  • Manage project timelines, resources and stakeholder expectations
  • Implement robust testing and validation procedures to ensure model accuracy and reliability
  • Monitor and maintain model performance and retrain models as necessary


Collaboration & Communication:

  • Work in close coordination with Data Engg lead/ data engineers, analysts, business stakeholders to deliver data related solution. Also ensure and work in coordination with cross functional business units, IT, data engineers to ensure data integrity and effective data utilization
  • Ensuring clear communication & reporting of complex data insights to non-technical stakeholders


Innovation and Improvement:

  • Stay current with industry trends, tools, and technologies in data science and machine learning
  • Continuously evaluate and improvise processes, data science practices and methodologies


Leadership and Strategy:

  • Lead and manage a team of data scientists, providing guidance, mentorship, and performance feedback
  • Develop and execute the data science strategy in alignment with the organization's goals
  • Collaborate with senior management to identify key business problems and opportunities where data science can add value


What you'll need to bring:


Education: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degree preferred.


Experience: [5-7] years of experience in data science or a related field, with a track record of managing teams and delivering impactful projects.


Skills:

  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks (e.g., TensorFlow, Jupyter, DataRobot, Quantifi, etc..)
  • Strong analytical skills and experience with statistical analysis
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Excellent problem-solving abilities and a strong understanding of data science principles.


Personal Attributes:

  • Strong leadership and team management skills.
  • Excellent communication and presentation skills.
  • Ability to work collaboratively in a fast-paced environment.
  • Strong attention to detail and commitment to high-quality work


Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud)
  • Experience in Securities/Broking Industry or BFSI


What you get: 


  • Chance to build and lead a Data Science Team in a next gen Fintech product from inception.
  • Hybrid work environment