Data Science Manager Job at Hewlett Packard Enterprise (Bangalore)

Data Science Manager (GTM)

You will be part of a world-class Data Science team that leverages data to drive...

Location

United States

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics or related fields
2+ years of experience managing teams of 4+
Advanced proficiency in SQL and knowledge of another data science programming language (e.g. Python, R)
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses

Job Responsibility

Collaborate on a variety of marketing and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
You will use data to shape marketing strategy, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
You will use storytelling techniques to communicate insights broadly, including to company leadership teams
Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support
Work with your team to help them grow through coaching in technical, analytical, and soft skills

What we offer

Health and wellbeing resources
Paid volunteer days
and so much more

Fulltime

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...

Location

United States , Overland Park

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
Master’s Degree preferred in similar fields
4+ years of experience in implementing data science-driven solutions
2+ years of management experience or leading/coaching a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering
4+ years of experience with Python, Databricks, R, and other predictive modeling tools
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
Mathematics: Calculus, linear algebra, statistics, and probability
Programming expertise in Python and SQL

Job Responsibility

Lead the development of major data science initiatives from problem framing to deployment and performance measurement
Hire, develop, manage, and retain a team of data scientists
Collaborate with cross-functional teams to solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency and create scalable solutions.

What we offer

Medical, dental, and vision insurance
Flexible spending account
401(k) plan
Employee stock grants and employee stock purchase plan
Paid time off and paid holidays
Paid parental and family leave
Family building benefits
Back-up care and childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability insurance

Fulltime

Manager, Data Science - Fiber Acquisition

The Manager, Data Science - Fiber Acquisition is a pivotal role that drives inno...

Location

United States , Bellevue; Denver; Overland Park; Frisco

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ years of experience implementing data science-driven solutions and explaining complex machine learning and analytical concepts, presenting data insights and recommendations to diverse audiences and multiple levels of leadership
2 years of management experience or leading/mentoring a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering, working with common relational and non-relational databases in big data environments such as AWS, Azure, and Google Cloud
4+ years of experience using Python, R, and other predictive modeling and machine learning tools in big data environments
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions using various supervised/unsupervised ML algorithms
2+ years of experience in the telecom industry.

Job Responsibility

Collaborates with FP&A, Pricing, Analytics, and field partners to drive towards growth objectives across both marketing and promotions
Conducts region-level insights gathering to develop a playbook of initiatives to drive growth across each of the regions as an iterative and at a regular, recurring cadence
Lead the development of major data science initiatives from problem framing, data collection, model development, insights generation and presentation, deployment, and performance measurement
Hire, develop, manage, and retain a team of data scientists with diverse skills and experience levels
Collaborate with cross-functional teams to identify and solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency, create scalable solutions, and build a world-class data science team
Perform other duties/projects as assigned by business management as needed.

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Fulltime

Senior Manager Data Science, Finance

Seasoned and strategic leader to build and guide Finance Data Science team, resp...

Location

United States , San Francisco

Salary:

254000.00 - 299000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience
10+ years of experience in data science or quantitative roles with progression of impact and seniority
3+ years of direct people management experience
Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques
Demonstrated ability to develop and execute strategic vision and multi-quarter roadmap for data science function
Exceptional stakeholder management and communication skills with ability to influence executive leaders
Strong business acumen with experience applying data science to solve complex financial problems in B2B or SaaS environment

Job Responsibility

Team Leadership & Development: Hire, mentor, and grow high-performing team of data scientists and analysts
Strategic Planning & Vision: Define and own roadmap for Finance Data Science team
Executive Stakeholder Management: Serve as primary data science partner to Finance leadership team
Oversee Financial Modeling & Forecasting: Guide team in developing models to forecast revenue, costs, and key business metrics
Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures
Technical Excellence: Set bar for technical rigor ensuring modeling, analysis, and data pipelines are robust and production-ready

What we offer

Learning and development allowance
Competitive cash and equity compensation
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
Home office stipend
Lunch four times a week
Commuter stipend
Snacks and beverages

Fulltime