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
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
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
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.