Sr Analyst, Data Science
At a glance
Senior Data Science role at Gap Inc. Hyderabad · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build programs and automated methods to clean, combine and assess large datasets drawn from different sources
- Prepare data pipelines with data scientists and engineers to support a range of modeling approaches
- Create and maintain machine-learning and statistical models, checking their performance and improving them
- Turn large datasets and metadata into useful findings for stakeholders and business-focused analysis
- Deliver advice and services that meet partner needs while sharing accountability for team results, resources and policy adherence
What you bring
- Advanced skill in R, Python, Spark, Hive or another MapReduce tool, and scripting for end-to-end pipelines
- Advanced SQL ability to work with large datasets in distributed on-premises and cloud environments
- Experience applying machine-learning and predictive methods, with evidence of business impact
- Strong analysis and communication skills, including making recommendations and working across teams
Who this fits
This senior analyst role suits someone who can move between detailed data work and recommendations for business partners. You'll collaborate with data scientists, data engineers and cross-functional partners, and share responsibility for team outcomes and resources.
From the employer
About the Role
The Customer Analytics Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team’s focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include segmentation, targeting, forecasting, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives. You will support the team to build and deploy Data and Analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.What You'll Do
Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis
Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
Responsible for quality of services and advice in meeting business partner needs
Responsible for end results of team and shares responsibility over resources, budget and adherence to policies
Who You Are
Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments
Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods
Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.