Data Science Software Engineer - Assistant Manager/Deputy Manager

Summary Position Summary Data Scientist, DT US PxE DnA Data Scientist should be a passionate, innovative, results-oriented predictive analytics leader with a deep commitment to success to be a part of our technology delivery processes that support the finance, talent (HR), risk management and IT service areas.This role requires specialized skills in predictive analytics for discovering data-driven insights that are actionable and transformative for restructuring strategies and operations to drive business value. Work you will do The Data Scientist Specialist will be responsible for recommending SAP HANA-based application architecture, service architecture, and technical design solutions for high performance and scalability in a distributed, multi-tier and cross-platform environment. This role requires extensive experience in designing and deploying predictive models that support business applications.The specialist will create benchmark tests, design for scalability and performance, and implement on large-scale systems.This includes an expectation for thought leadership on projects requiring requirements gathering, ETL capabilities, data modeling and interpretation, QA testing, and visualization design. Outcome-Driven Accountability

• Collaborate with business and IT leaders to develop and refine ideas for integrating predictive and prescriptive analytics within business processes, ensuring measurable customer and business outcomes.
• Decompose complex business problems into manageable components, facilitating the use of multiple analytic modeling methods for holistic and valuable solutions.
• Develop and refine prototypes and proofs of concepts, presenting results to business and IT leaders, and demonstrating the impact on customer needs and business outcomes.

Technical Leadership and Advocacy

• Engage in data analysis, generating and testing hypotheses, preparing and analyzing historical data, identifying patterns, and applying statistical methods to formulate solutions that deliver high-quality outcomes.
• Develop project plans, including resource needs and task dependencies, to meet project deliverables with a focus on incremental and iterative delivery.

Engineering Craftsmanship

• Participate in defining project scope, objectives, and quality controls for new projects, ensuring alignment with customer-centric engineering principles.
• Present and communicate project deliverable results, emphasizing the value delivered to customers and the business.

Customer-Centric Engineering

• Assist in recruiting and mentoring team members, fostering a culture of engineering craftsmanship and continuous learning.

Incremental and Iterative Delivery

• Stay abreast of changes in technology, leading new technology evaluations for predictive and statistical analytics, and advocating for innovative, lean, and feasible solutions.

Key Responsibilities

• Create plans as proof-of-concept and presenting related results including prototypes to business and IT leaders.
• Develop project plans that include specification of resource needs and task dependencies to meet project deliverables.
• Direct data preparation planning effort and ETL procedure development and testing.
• Design and interpreting analytical models to discover data-driven insights that are actionable and transformative for restructuring strategies and operations to drive business value.
• Evaluate the performance of LLM models. This may involve measuring the models' accuracy on our tuned datasets.
• Design and deploy predictive and prescriptive models that may include LLM models to support business applications. Ability to package the model, create REST APIs, and deploy on cloud environments.
• Contribute to thought leadership initiatives, hackathons, internal innovation initiatives to promote PxE's reputation in predictive and generative analytics.
• Stay updated with technological advancements and participate in evaluations of new technologies for predictive, statistical, and generative analytics.
• Utilize Databricks for scalable data engineering, collaborative data science, and machine learning workflows.
• Leverage Dataiku for data science and analytics platform capabilities, including data preparation, visualization, and model deployment.
• Integrate Generative AI technologies to create innovative data-driven solutions and enhance analytics capabilities.

Education:

• Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience.

Qualifications:

• Proven track record of leveraging data analytic methods and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models.
• Extensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models.
• 7+ years of experience with data analysis software for large scale analysis of structured and unstructured data.
• 7+ years of experience with data mining, statistical modeling tools and underlying algorithms.
• Experience leading project teams.
• Ability to communicate complex quantitative analysis in concise and actionable manner.
• Proven ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills.
• Strong problem solving and troubleshooting skills with the ability to exercise good judgment.
• Strong time management and multi-tasking skills that have been demonstrated by track-record of working on multiple projects and cross-functional teams with staggered deadlines.
• Aptitude with Exploratory Data Analysis of large, complex datasets to arrive at useful insights and hypotheses.
• Working knowledge of such supervised and unsupervised learning techniques as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis and clustering methods.
• Experience with the following technologies/methodologies required: ü R or Python ü SQL ü Relational database platforms ü Columnar / NoSQL database platforms
• Experience with the following technologies/methodologies preferred: ü SAP HANA, SAP HANA Predictive Analytics Library (PAL), SAP HANA Business Function Library (BFL), SAP Predictive Analytics®, Amazon S3 (Simple Storage Service), Amazon Athena ü Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory ü BI Platforms: SAP BW, SAP Business Objects ü Visualization Applications: Tableau, QlikView ü Big Data Platforms: Hadoop, HDFS, Map Reduce ü The agile development processes The Team DT US helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in ITS deliver services including:

• Security, risk & compliance
• Technology support
• Infrastructure
• Applications
• Relationship management
• Strategy
• Deployment
• PMO
• Financials
• Communications

Product Engineering (PxE) Product Engineering (PxE) is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. How you will grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want allourpeopletodevelopintheirownway,playingtotheirownstrengthsastheyhonetheirleadershipskills.And,asa part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. Notwopeoplelearninexactlythesameway.So,weprovidearangeofresources,includingliveclassrooms,team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learningcenterintheHyderabadoffice,isanextensionoftheDUinWestlake,Texas,andrepresentsatangiblesymbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center inIndia .

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Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

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Requisition code: 301966