Decision Science Manager - Artificial Intelligence/Machine Learning (8-13 yrs)

Responsibilities/Authorities :

- A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions.

- He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:

- Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.

- Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.

- Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders

- Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly.

- Ask a series of probing questions to get to the root of a problem.

- Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state

- Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements - and be able to inform the best approach to the problem.

- Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation.

- Anticipate obstacles and identify a critical path for a project.

- Independently able to deliver products and services that empower clients to implement effective solutions.

- Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.

- Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.

- Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints.

- Storytelling - Crunch the data & numbers to craft a story to be presented to senior client stakeholders.

Job Qualifications :

- Overall 10+ years of experience in Data Science & at least 5 years in Telecom Analytics

- Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

- Demonstrated experience in solving real-world data problems through Data & AI

- Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory.

- Proficiency with data mining, mathematics, and statistical analysis

- Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.

- Execution level understanding of econometric/statistical modeling packages -

- Traditional techniques like - Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.

- Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.

- Knowledge of Deep learning modeling techniques - like RNN, CNN etc.

- Experience using digital & statistical modeling software (one or more) - Python, R, PySpark, SQL, BigQuery, Vertex AI

- Proficient in Excel, MS word, Power point, and corporate soft skills

- Knowledge of Dashboard creation platforms - Excel, tableau, Power BI etc.

- Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.

- Strong analytical, problem-solving skills and good communication skills

- Self-Starter with ability to work independently across multiple projects and set priorities

- Strong team player - Proactive and solution oriented, able to guide junior team members.

Execution knowledge of optimization techniques is a good-to-have :

- Exact optimization - Linear, Non-linear optimization techniques

- Evolutionary optimization - Both population and search-based algorithms.

- Cloud platform Certification, experience in Computer Vision are good-to-have