Director - Data Science and Analytics
Fidelity Investments india
Bangalore, Karnataka, IN
5d ago

The Purpose of This Role

Fidelity is seeking a very senior level data scientist for the Enterprise Infrastructure and Analytics team with extensive experience in advanced analytics and AIOps, as well as strong background in AI / data science ethics, machine learning, natural language processing, predictive and prescriptive analytics.

Additionally, the successful candidate is expected to have significant leadership experience in a corporate or consulting environment, in addition to strong academic qualifications and research background.

The successful candidate will be very hands-on and will be capable of supporting projects across many areas with the highest degree of quality.

They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to collaborate with all levels of technology leaders and business leaders across Fidelity.

The Value You Deliver

As a member of the Enterprise Infrastructure Foundational Tools organization, you will play a critical role in ideating, designing, and implementing data analytics projects end-to-end.

  • Develop and deliver vision, strategy and roadmap for Advanced analytics tools and systems for Technology data like incidents, changes, tickets, logs, metrics, traces and other application data.
  • Develop Frameworks and guide data science and data engineering elements of AI & data science projects
  • Translate use cases to analytics agenda, including data, approach and validation strategy
  • Develop best practices for data science, considering the full analytical lifecycle
  • Develop guidelines for the evaluation of new analytical tools and platforms
  • Present reports and findings to senior level technical and non-technical audiences
  • Proactively identify business opportunities and solutions
  • Research cutting-edge techniques, industry best practices, tools, and systems
  • Interpret results and drawing key business insights from advanced quantitative analyses
  • Lead and guide analytics projects across business groups
  • Key Responsibilities

  • Full accountability and ownership for direction, vision, strategy, roadmap, engineering, and execution of Enterprise Infrastructure Data Analytics and AIOps projects
  • Ensuring constant engagement with stakeholders at regular intervals to understand their needs and deliver business value in the most effective and timely manner.
  • The Skills that are Key to this role

    Technical Expertise

  • Validated experience in leading the application of artificial intelligence (AI) to deliver quantifiable business results.
  • Experience in projects involving large scale-multi dimensional databases, sophisticated business
  • infrastructure, and multi-functional teams.

  • Knowledge of most of the following quantitative fields : Machine Learning, Advanced Statistical
  • Analysis & Modeling, Recommendation Systems, Deep Learning, Causal Inference & Program

    Evaluation, Reinforcement Learning, Behavioral Economics, Design of Experiments, Multi-

    Objective Optimization, Bayesian Statistics, and Natural Language Processing

  • Demonstrated ability of executing and delivering projects using Deep learning frameworks like
  • Tensorflow and / or Pytorch

  • Strong data proficiency, exploratory data analysis, data visualization, and storytelling skills
  • Knowledge of well-designed experiments and statistical analysis concepts
  • Knowledge of Big Data technologies and Cloud Computing would be a plus
  • Experience in implementing and supporting enterprise products and solutions
  • Architectural-level understanding of IT infrastructure and applications and Exposure to DevOps and Agile practices would be an added advantage
  • Master’s in Computer Science, Mathematics, Engineering, Information Technology,
  • Computational Statistics, Operations Research, Machine Learning, or Business or related
  • technical fields a plus.
  • 10+ years’ experience in IT across a broad range of technologies, with 5+ years specific experience in working in data science / analytics technologies
  • The Expertise we are looking for

  • Ability to partner closely with a diverse set of business stakeholders to identify needs and
  • deliver AI / ML solutions

  • Proven expertise synthesizing and presenting research / technical findings to diverse audiences
  • Extensive experience in mentoring / coaching people and robust teams
  • Experience with resource planning and allocation within and across organizations
  • Experience identifying and acquiring talent needs and resource planning across large organizations
  • Intellectually curious and model a culture of continuous learning, mentoring and coaching
  • Strong verbal / written communication and presentation skills, including an ability to effectively
  • connect with both business and technical teams.
  • Significant experience with Agile methodologies
  • Ability to manage multiple initiatives simultaneously
  • How Your Work Impacts the Organization

    Unlock the potential of data and enable data driven decision making in the organization : This individual will lead high profile data science and AI / ML projects working closely with Technology, Product Management, Digital Platforms, Observability, Data Lake and other Enterprise Infrastructure teams to define and develop AI-based solutions.

    Candidate must be comfortable in a fast-paced, unpredictable, and frequently ambiguous environment working with current and emerging AI technologies

    Company Overview

    Fidelity Investments is one of the world's largest providers of financial services. Headquartered in Boston, US, Fidelity's goal is to make financial expertise broadly accessible and effective in helping people live the lives they want.

    Privately held for nearly 70 years, Fidelity employs 45, associates who are focused on the long-term success of our customers.

    FMR (Fidelity Management & Research) India is the Global Inhouse Center of Fidelity Investments. Headquartered at Bangalore, where operations commenced in , FMR India has another fully-functional unit at Chennai.

    To know more visit : FMR India

    Location : Bangalore / Chennai

    Shift timings : 11 AM 8 PM shifts, five days a week.

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