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Lead II - Data Science

India

    7 - 9 Years
    1 Opening
    Bangalore


Role description

Role Proficiency:

Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team

Outcomes:

  • Managing and designing the reporting environment including data sources security and metadata.
  • Providing technical expertise on data storage structures data mining and data cleansing.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Synthesize both quantitative and qualitative data into insights
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Understanding business requirements and translating it into executable steps for the team members.
  • Identify and recommend new ways to streamline business processes
  • Illustrates data graphically and translates complex findings into written text.
  • Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback.
  • Review the team’s deliverables before sending final reports to stakeholders.
  • Support cross-functional teams with data reports and insights on data.
  • Training end users on new reports and dashboards.
  • Set FAST goals and provide feedback on FAST goals of reportees

Measures of Outcomes:

  • Quality - number of review comments on codes written
  • Accountable for data consistency and data quality.
  • Number of medium to large custom application data models designed and implemented
  • Illustrates data graphically and translates complex findings into written text.
  • Number of results located to help clients make informed decisions.
  • Attention to detail and level of accuracy.
  • Number of business processes changed due to vital analysis.
  • Number of Business Intelligent Dashboards developed
  • Number of productivity standards defined for project
  • Manage team members and review the tasks submitted by team members
  • Number of mandatory trainings completed

Outputs Expected:

Determine Specific Data needs:

  • Work with departmental managers to outline the specific data needs for each business method analysis project


Management and Strategy:

  • Oversees the activities of analyst personnel and ensures the efficient execution of their duties.


Critical business insights:

  • Mines the business’s database in search of critical business insights and communicates findings to the relevant departments.


Code:

  • Creates efficient and reusable SQL code meant for the improvement
    manipulation
    and analysis of data.
  • Creates efficient and reusable code. Follows coding best practices.


Create/Validate Data Models:

  • Builds statistical models; diagnoses
    validates
    and improves the performance of these models over time.


Predictive analytics:

  • Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis


Prescriptive analytics:

  • Attempts to identify what business action to take


Code Versioning:

  • Organize and manage the changes and revisions to code. Use a version control tool like git
    bitbucket. etc.


Create Reports:

  • Create reports depicting the trends and behaviours from the analysed data


Document:

  • Create documentation for own work as well as perform peer review of documentation of others' work


Manage knowledge:

  • Consume and contribute to project related documents
    share point
    libraries and client universities


Status Reporting:

  • Report status of tasks assigned
  • Comply to project related reporting standards/process

Skill Examples:

  • Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
  • Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
  • Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings.
  • Presentation Skills - reports and oral presentations to client
  • Strong meeting facilitation skills as well as presentation skills.
  • Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Proactively ask for and offer help

Knowledge Examples:

Knowledge Examples

  • Database languages such as SQL
  • Programming language such as R or Python
  • Analytical tools and languages such as SAS & Mahout.
  • Proficiency in MATLAB.
  • Data visualization software such as Tableau or Qlik or Power BI.
  • Proficient in mathematics and calculations.
  • Spreadsheet tools such as Microsoft Excel or Google Sheets
  • DBMS
  • Operating Systems and software platforms
  • Knowledge about customer domain and also sub domain where problem is solved

Additional Comments:

Role Scope / Deliverables: Dataiku Platform Administrator Role Location(s): Bangalore, India Planned Start Date: 9/15/2025 Planned End Date: 7/31/2026 Key Skills: 1) Platform Ownership & Reliability • Install, configure, and upgrade Dataiku DSS (design/execution/automation/API nodes, Deployer) across dev/test/prod. • Implement HA/DR: backups, restores, replication/automation bundles, and tested runbooks (RPO/RTO targets). • Capacity planning, performance tuning, and housekeeping (jobs, logs, temp/managed folders, connection quotas). • Observability: system and job metrics, s, and SLO dashboards; root-cause analyses after incidents. 2) Security, Governance & Compliance • Define and administer RBAC, group mappings (LDAP/AD/SCIM where applicable), project permissions, code-env rights. • Federate identity and SSO (SAML/OIDC); enforce MFA where required; manage service accounts and secrets (e.g., Vault/KMS). • Data governance enablement: dataset classification/tagging, lineage visibility, data retention, PII/PHI handling standards. • Audit logging and evidence collection; periodic access reviews; approval workflows for high-risk actions. • Model governance: promotion gates, documentation standards, reproducibility checks, drift/bias monitoring and decommissioning. • Ensure adherence to corporate security frameworks and regulations (e.g., ISO 27001/NIST, GDPR/CCPA, HIPAA as applicable). 3) Procedural Definition & Enforcement • Author and maintain SOPs/runbooks for provisioning, upgrades, code-env management, plugin lifecycle, and incident/change/problem management (ITIL v4). • Operate a structured change process (CAB, change windows, rollback criteria) and release calendar for DSS and dependencies. • Define and enforce standards for: • Conduct periodic compliance checks and report exceptions with remediation plans. 4) Integration & Environment Management • Set up and govern connections to data platforms (e.g., Snowflake, BigQuery, Redshift, Synapse, SQL Server/Oracle/Postgres), object storage (S3/ADLS/Blob/GCS), and message/streaming systems. • Hadoop/Spark/Kerberos integration where used; containerized or Kubernetes execution for scalable workloads. • Manage code environments (Python/Conda/R): base images, package mirrors, GPU support, vulnerability patching. • CI/CD for Dataiku projects: Git integration, bundle/deployment automation, environment promotion policies. • Logging/monitoring integrations (e.g., Splunk/ELK, Prometheus/Grafana), ticketing/ITSM (e.g., ServiceNow), and schedulers (e.g., Airflow) 5) Cost, Capacity & License Management • Track license usage, concurrency, and compute/storage spend; implement quotas and guardrails. • Recommend optimization (autoscaling, ephemeral execution, storage lifecycle policies). 6) User Enablement & Platform Adoption • Curate project templates, starter kits, and best-practice guides. • Run office hours and trainings (Designer/Developer/Admin audiences). • Triage platform questions and unblock teams quickly; champion safe and scalable platform usage.

Skills

Dataiku,Data Science,Dataiku admin


About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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