Category Archives: Data Science

TELECOM Strategy and Corporate Development (SVP, VP, Director) -NJ and NYC

Job description

lead the next wave of digital revolution in Communications, Internet and Media.

We are looking for highly talented individuals with strong analytical and communications skills to join the team as a Strategy and Corporate Development Manager. If successful in joining our team you will have an opportunity to work on new and exciting topics including Internet of Things (IoT), Shared Economy, Personal Mobile Financial Services, Telematics and Smart Cities.

You will support the Company’s acquisition target evaluation, due diligence and transaction processes, with particular emphasis on financial analysis and strategic rationale development.

The role involves analyses that span a range of industries and companies, ranging in size from small private venture capital-funded startups to multibillion-dollar market cap companies. Analyses often deal with complex accounting, tax, credit, and financial deal structuring issues. Industry trends and competitor/peer intelligence is incorporated into the analyses.

Corporate Strategy and Development team is working on high-visibility projects including Board, CEO and CFO-level topics and serves as a pipeline of top leadership talent into the organization.

Responsibilities include:
– Assist in the preparation of presentations and recommendations for senior management review and for board meetings.
– Investigate and evaluate acquisitions, divestitures, licensing opportunities, and strategic alliances.
– Perform detailed financial analysis; develop comprehensive pro forma financial models and valuation analysis in support of potential transactions and organic business cases.
– Work closely with legal, accounting, tax, and investment banking experts to support the pre-acquisition due-diligence activities and assist in post-acquisition integration support, as required.
– Research and analyze diverse industries and verticals, identifying trends and strategic areas of interest for business unit portfolio.
– Work with business units to assess and prioritize transactions to best align with business strategy and growth plans.
– Develop and maintain related internal and external benchmarks for transactions in the related industries.


– A Bachelor degree required, MBA is strongly preferred or equivalent work experience.

– Demonstrated work experience in one or more of the following areas:
— Investment Banking
— Top-Tier Management Consulting
— Corporate Development
— Private Equity
— Venture Capital

– Experience working in a transactional environment is preferred.
– Strong financial background in analyzing data, background in finance/accounting required.
– Robust financial modeling skills and the ability to perform quantitative analysis with relative autonomy.
– Exceptional project management skills: leading client teams, peers, and junior team members through key aspects of strategy projects, owning work streams towards development of critical project deliverables.
– Ability to balance multiple projects of varying duration supporting both the pipeline as well as projects underway.
– Strong executive-level presentation skills including storyboarding, development and delivery to executive audience is a must.
– Knowledge of telecommunications, Internet and media industries preferred.
– Knowledge of research databases and ability to conduct research, analyze data, and develop models.
– Good writing/editing/interpersonal/organizational skills.
– High energy, strategic thinker with track record of executing with strong analytical with critical thinking abilities.
– Executive presence and high degree of comfort in working directly with senior management is highly desired.
– Exceptional attention to detail.

qualified candidates should email resume and cover letter to

Marketing Mix & Attribution Modeling Manager

The role of Marketing Mix & Attribution Modeling Manager is a highly quantitative role with responsibilities including:
•Build, maintain and evolve market level mix models to estimate causal impacts of marketing activities on financial outcomes in the short and long term
•Build, maintain and evolve customer level attribution models to explain longitudinal behavioral shifts associated with exposure to a varying combination of touch point exposures
•Measure the long-term impacts on customer behavior
•Automate input ETL, iterative solution search and operationalization of models

This person will have significant interactions with other analytics teams in Marketing Insights & Analytics and is expected to provide analytical thought leadership and bring cutting edge statistical knowledge to solve complex marketing problems. Deep technical skills, ability to continuously learn from industry and academic work, and strong communication skills will be determining factors in selection.

A successful applicant will demonstrate:
•Ability to deliver critical insights and analysis
•Collaborative partnership and strong influencing skills
•Ability to extract insights to identify growth opportunities and effectively communicate outcomes and recommendations
•Lead effective data analysis that may suggest risk or opportunities
•Partnership/collaboration with marketing business partners and other enterprise teams

Required Qualifications

6+ years of experience in one or a combination of the following: reporting, analytics, or modeling
2+ years of management experience

Desired Qualifications

Excellent verbal, written, and interpersonal communication skills
Strong analytical skills with high attention to detail and accuracy

Other Desired Qualifications

5+ years of experience in regression based modeling
3+ hands-on experience programming marketing mix modeling solutions in SAS
Expertise on hierarchical Bayesian and MCMC approaches
Proven history of developing innovative, cutting-edge causal measurement capabilities across the range of marketing activities, including TV, print, radio, OOH, paid search, display, online video, owned media, sponsorships and promotions
Significant experience coding and maintaining stand along SAS-based applications
Deep knowledge of statistical areas such as ANOVA, Multiple Regression, Time-series Modeling, Principal Component Analyses, Decision Trees, Clustering, etc
Experience programming in R, SQL, Python and GAMS
Experience working in marketing/ customer analytics organizations
Demonstrated ability to play a leadership role in large, complex analytical projects
Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving
Consistent pattern of digging into the raw respondent data
Exceptionally strong technical background
Experience/ exposure to data and analytics in Banking and Financial Services industry
qualified candidates should email resume to

Analytics and Insights Manager – Financial Services

Insights and Analytics Team:

This role is part of the Insights and Analytics Team which is being created to be the best-in-class Decision-Support organization that can provide insights to inform our business/customer marketing and product strategy as well as our broader strategic initiatives, and identify new growth and profitability opportunities.

This team is responsible for making sure that the “voice of the customer” is included in internal discussions across the enterprise.

Reporting to the Cross-LOB/Enterprise Customer Analytics manager, this manager position will be responsible for delivering a suite of analyses and regular metrics about customers from a holistic cross-product, cross-channel, Enterprise perspective. Analytic topic topics include acquisition, attrition, diminishment and segmentation. There are bodies of work that are net new to the firm so thought leadership is required to formulate and solve problems in ways that are outside the norm. This leader will interface with Marketing, LOB, EDA, Compliance, Risk and Legal partners regularly so the ability to build partnerships and communicate complex ideas in an easily understood format is essential. The manager will lead and inspire TMs and MRs to identify actionable behavioral insights about customers.

The Successful Applicant will be expected to:
• Be responsible for delivering analysis, insights and decision strategies for Enterprise Marketing and its partners. Outcomes will be sizable and potentially, enterprise-wide impact.
• Provide leadership to other consultants and analysts in the integration/implementation of programs/services/initiatives with cross functional business partners, recognizing the significance of competing priorities and strategies, and adjusting as necessary.
• Provide leadership on data strategy and analytic tools needed to provide meaningful strategic insights on a sustained basis.
• Evaluate, recommend and implement strategies for developing and utilizing technical resources to predict, improve and measure the success of fundamentals and new initiatives linked to business outcomes.
• Have a deep understanding of internal business strategies and objectives.
• Identify and integrate external market factors that impact or drive business outcomes.
• Define measurement standards and collaborates with business partners to achieve consistent agreement and application of definitions, measurements and interpretation.
• Build analytical capabilities and manages modeling, forecasting, reporting and data analysis tools and processes.

Locations: Flexible with a preference for San Francisco or Charlotte.

Required Qualifications

•8+ years of experience in one or a combination of the following: reporting, analytics, or modeling
•4+ years of management experience
•8+ years of SQL or SAS experience

Desired Qualifications

•10+ years of marketing analytics experience
•10+ years of consultative business analysis experience
•Excellent verbal, written, and interpersonal communication skills

Other Desired Qualifications

•Excellent project management skills and the ability to manage complex projects across a matrixed environment
•Self-motivated credible/articulate leader, fully comfor representing the direct marketing process and being a technical voice for the group in senior and cross business forums.
•Superior analytic and consulting skills are required along with excellent people and relationship management skills
•Experience in the financial services sector with an understanding of credit, deposit, wealth management, and insurance products as well as online products such as electronic payments and online banking.
•Demonstrated experience with web analytics in a multichannel, multiproduct business.
•Experience with Big Data environments like Aster and Hadoop.
•Experience with R and Machine Learning algorithms.
•A true team player/leader and collaborator, translating prior knowledge and experience into strong and productive relationships internally and externally.
•Recruiting, developing, motivating and retaining talented team members, with an emphasis on creating a strong team environment.
•BA or BS in a technical field. Advanced level education is preferred
qualified candidates should email resume to

Sr. Data Scientist

Right now, we are looking for a tenured data scientist to help us design and build the next generation of predictive tools that will guide our digital capabilities and offerings. The position offers a unique opportunity to be part of a small, fast-paced, challenging, and “start-up” like environment.

• Apply various statistical and machine learning techniques, to develop segmentations, predictive models, experimental designs, and decision analyses
• Gather, manipulate, and analyze large data sets from multiple sources
• Develop algorithms to optimize product offering, pricing, and distribution channel
• Transform data into impactful business insights, strategy recommendations and implementation plans to improve key performance metrics for the business
• Evaluate model output, formulate and test hypotheses, weigh alternatives, and determine appropriate responses
• Apply deep, creative, rigorous thinking to solve broad business problems
• Collaborate closely with various functional groups such as Product, Marketing, and Technology to successfully deliver results
• Effectively communicate findings and solutions to a variety of audiences
*** The preferred locations are posted but we will consider anyone located within the  footprint

Required Qualifications:
• 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling or a Masters’ degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
• 5 + years of experience building predictive models
• 5 + years of experience using quantitative machine learning techniques

Desired Qualifications:
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Ability to think creatively to find innovative solutions to complex analytical questions
• Ability to work in a fast paced deadline driven environment
Other Desired Qualifications
• 6+ years of hands-on experience building predictive models using regression analysis
• 5+ years hands-on supervised and unsupervised machine learning techniques (e.g. CHAID, random forest, boosted trees, Bayesian modeling, support vector machines, neural networks, clustering, graphical models)
• Expert knowledge of SAS and SQL.
• Hands-on experience with one or more of the following: R, Python, Pig, Hive.
• Hands-on experience with distributed computing e.g. Hadoop
• Familiarity with web analytics concepts (i.e. sales funnel analysis, click through, impressions, etc.)
• Breadth of knowledge includes full lifecycle of customer from targeting to acquisition, customer performance, loyalty and retention
• Financial industry and digital marketing experience a plus
• Familiarity with digital channel systems, processes, and analytic tool


qualified candidates should email resume to