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Scott Sokoloff

Vice President of Data & Chief Data Scientist

Data and Operations Expert

New York, New York, United States

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Scott Sokoloff's Email Addresses & Phone Numbers

Scott Sokoloff's Work Experience

Newsela

Vice President of Data & Chief Data Scientist

Greater New York City Area

SokoCreative, Inc. (dba SolvedByData)

President, Data Insights and Analytics

August 2007 to 2017

Greater New York City Area

TE Connectivity

Head of Data Science

December 2013 to April 2015

Greater New York City Area

Scott Sokoloff's Education

University of Pennsylvania

BA, Mathematics

2001 to 2005

University of Pennsylvania

Bachelor of Arts - BA, Mathematics

University of Florida - Warrington College of Business

MBA, Finance / Marketing / Competitive Strategy

2007 to 2009

Scott Sokoloff's Professional Skills Radar Chart

Based on our findings, Scott Sokoloff is ...

Thoughtful
Determined
Inspirational

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Based on our findings, Scott Sokoloff is ...

57% Left Brained
43% Right Brained

Scott Sokoloff's Estimated Salary Range

About Scott Sokoloff's Current Company

Newsela

Frequently Asked Questions about Scott Sokoloff

What company does Scott Sokoloff work for?

Scott Sokoloff works for Newsela


What is Scott Sokoloff's role at Newsela?

Scott Sokoloff is Vice President of Data & Chief Data Scientist


What is Scott Sokoloff's personal email address?

Scott Sokoloff's personal email address is s****[email protected]


What is Scott Sokoloff's business email address?

Scott Sokoloff's business email address is s****[email protected]


What is Scott Sokoloff's Phone Number?

Scott Sokoloff's phone (212) ***-*153


What industry does Scott Sokoloff work in?

Scott Sokoloff works in the E-Learning industry.


Who are Scott Sokoloff's colleagues?

Scott Sokoloff's colleagues are Will Minerich, Marni Goltsman, Madurey Veerapalli, Sara Dee, Isabella Levy, John Hooper, Michael Sack, Nic Crucian, Andrew Pankov, and Alexandra Millatmal


About Scott Sokoloff

📖 Summary

Vice President of Data & Chief Data Scientist @ Newsela Greater New York City AreaPresident, Data Insights and Analytics @ SokoCreative, Inc. (dba SolvedByData) As owner and operator of this data analytics consultancy, I oversee daily operations and act as the primary point of contact for clients for new engagements. I manage the P&L along with staff hiring and development. I also design data insights as an internal core competency for our clients in addition to developing their data science infrastructure. Some of my clients include: National Cancer Institute, Microsoft, Skype, Forbes Media, Haute Athletics, Mobile Commons, Freelancers Union, GroupMe, PayPerks, HMR, Inc., TLC Oxygen, and various healthcare practices.♦ Doubled revenue and reduced total costs by 25% for a healthcare practice by developing tracking systems for all operational metrics.♦ Incentivized blog contributors at a top-3 business website to produce content that maximized revenue and profitability through devising an effective compensation structure for bloggers.♦ Enabled a health insurance provider to partner with the Department of Labor by creating strategic insights and redefining analytical processes at the Federal Reserve.♦ Allowed a major health organization to visualize their mobile efforts to improve nationwide healthcare via data insights.♦ Drove optimal building placement for a restaurant chain’s new stores to gain a competitive edge by building a predictive geo-spatial system.♦ Boosted the viral coefficient of a global communication platform’s software ecosystem and enhanced group communications by developing tracking systems.♦ Enabled major brands to optimize their creatives and ad placements for television, digital, and print marketing campaigns through crafting an adaptive media mix solution.♦ Championed the transition to cloud-based deployment. From August 2007 to 2017 (10 years) Greater New York City AreaHead of Data Science @ TE Connectivity Responsible for the daily operations of Data Science and Advanced Analytics teams for this Fortune 250 firm. As leader of the Data Science team, I coordinated data company-wide and built analytics technology using big data solutions including Hadoop technology. While overseeing Advanced Analytics, I managed a multimillion-dollar budget, driving the execution of analytic projects along with training and mentoring staff. Additionally, I expended about 50% of my time scoping and resolving issues associated with complex profit-generating opportunities for this global manufacturing company. On a regular basis, I was sought after to participate in a variety of corporate initiatives and speak at conferences on big data, data science, and analytics to contribute my deep knowledge of the field.♦ Led a team that boosted the company’s entire data storage capacity by 10%. Currently organizing more than 1,000 data silos into a single ecosystem that will facilitate a >90% reduction in data storage costs and time required to access data.♦ Played a key role in lowering inventory, reducing lead time for manufacturing of parts, decreasing cost to manufacture, and expediting delivery by ensuring the accuracy of forecasts at a part plant level.♦ Implemented software tools and process changes that enabled a 70% increase in sales force efficiency.♦ Justified and contributed to refining >$30M in corporate initiatives.♦ Earned a reputation as a data analytics expert, receiving invitations to speak at conferences and universities about building advanced analytics teams and implementing related corporate culture change.♦ Accepted an opportunity to present at the University of Pennsylvania on subjects such as big data, data science, and analytics. From December 2013 to April 2015 (1 year 5 months) Greater New York City AreaHead of Analysis & Data Insights @ GroupMe (division of Skype/Microsoft) During this period, I was engaged to manage P&L and regular/ad hoc reporting. My scope of duties encompassed assisting GroupMe founders in managing a multimillion-dollar budget and undertaking deep financial analysis. Additionally, I focused on establishing analytics as a core competency within the GroupMe division. I also identified areas of OPEX reductions, drove the development of new reporting platforms, and trained analysts/programmers on data insights.♦ Helped this acquired startup navigate the corporate world and assisted other units in dealing with Microsoft and Skype bureaucracies.♦ Enabled exponential growth and ensured that users remained active throughout their lifecycle by developing customized viral coefficient and retention analysis.♦ Created revenue-generating products and enhancements.♦ Delivered a 50% decrease in OPEX spend through systematic data insights techniques.♦ Increased internal analytics abilities and decreased time between project implementation and insight deliverability. From 2012 to July 2013 (1 year) Greater New York City AreaDepartment Head, Data Insights @ Domino's Pizza I championed the establishment of one of the first Data Science teams at a major QSR chain, recruiting talent and crafting the vision for an enterprise-wide data-driven strategy. I led a team of economists, statisticians, and analysts in developing advanced analytic concepts and translating data insights for laymen. I also discovered patterns in consumer behaviors to identify high-performing in-store staff and presented results to the Board.♦ Established a personalized experience for every customer via constructing a CRM system.♦ Allowed non-technical users to develop a “Test and Learn” mentality by driving the creation and delivery of a “Test & Learn” tool with an Excel-based interface♦ Achieved 3-5% system-wide sales increase and lowered cost basis by identifying inefficiency in store-level operations♦ Balanced delivery costs and customer satisfaction by optimizing delivery route determination.♦ Cut sales forecasting errors >50% by developing a computational model based on economic principles♦ Led a company-wide strategic initiative to quantify real estate value and determine opportunities for future store development♦ Enabled segmentation of customers into occasion-based, price-sensitive clusters by crafting a customer-specific pricing program♦ Identified underperforming stores, high-value franchises, and top store managers using a geo-spatial model♦ Managed web analytics for a website ranked in the top 5 nationwide in transaction volume; transformed web-centric measurements to focus on customer experience and total company profits by incorporating offline activities♦ Created algorithms to turn visual data into actionable intelligence that drove a 5-20% increased lifetime value♦ Developed processes and methodology to leverage visual data at a plant and tie performance of individual contributors to customer lifetime value enabling 20% efficiency gains♦ Lectured at University of Michigan and Georgia on big data, data science, marketing, and analytics From June 2009 to January 2012 (2 years 8 months) Ann Arbor, MIStrategist, Marketing & Business Intelligence @ Burger King Corporation While completing my MBA in Finance and Competitive Strategy, this worldwide brand requested my assistance with strategic insights on marketing and business intelligence to improve profitability and internal processes.♦ Enabled strategic price increases by developing a corporate pricing model using price elasticity. The model accounts for rising commodity costs while minimizing customer loss on a store-by-store basis.♦ Increased the power of existing tools 30%+ and boosted the accuracy of internal data via identifying inconsistencies with internal processes. From June 2008 to August 2008 (3 months) Miami/Fort Lauderdale AreaConsultant @ First Annapolis At First Annapolis, I was tasked with developing and training a team of analysts in addition to assisting partners with fulfilling consulting commitments. As part of my role, I assessed value via statistical analysis of loan portfolios and recommended account management strategies to drive net present value.♦ Expertly performed country-level analysis on future revenue, profit, and market size for one of the largest worldwide financial services corporations using international census and economic data.♦ Developed cluster analysis to segment credit and debit card portfolios along with providing marketing recommendations for leading banks in Europe and South America.♦ Devised methodology to evaluate pricing models for traditional and online merchants. From July 2006 to August 2007 (1 year 2 months) Baltimore, Maryland AreaBusiness Analyst @ Capital One - Small Business Solutions I was hired to organize customer management marketing test plans for a portfolio encompassing more than 3.5 million accounts, evaluating results to identify the most effective and profitable marketing strategies.♦ Produced 700% growth and $.5B in incremental loans by enhancing the small business balance build strategy.♦ Created a revolutionary new credit product for small business owners; drove coordination between IT, Production Services, Marketing, Legal, and Finance departments during initial testing. From June 2005 to July 2006 (1 year 2 months) Richmond, Virginia AreaInformation Technology Advisor Manager @ University of Pennsylvania - Hamilton House Early in my career, I honed IT leadership skills while overseeing a team of up to 25 staff. I coordinated work schedules, established department goals, and ensured that teams met customer service level agreements.♦ Recorded the highest levels of services for 2 continuous years through aggressive goal setting and shifting team duties. From June 2002 to June 2005 (3 years 1 month) Greater Philadelphia AreaChief Operating Officer @ Town Stages Greater New York City AreaChief Data Officer (CDO) - OrderUp @ Groupon Provided vision and strategy for all data and information management activities including operations, computational marketing, delivery logistics and others. Worked with other senior leaders to understand their current business needs and operationalized tactics ensuring their ability to accomplish their goals. Created teams of internal experts to aid the business obtaining solutions and highlighting other potential areas that technical solutions could help enhance the organization. ♦ Established data standards and implemented corporate wide BI systems, in under 60 days, that allowed all departments the ability to leverage data in their day to day decision making.♦ Developed and oversaw implementation of systems that allow for traditional business users to automate the bulk of their day to day reporting needs.♦ Created “Test & Learn Harness” that serves as critical infrastructure that allowing multiple hypotheses to be tested at any given time. This decreased the time to market for good ideas, and allowed for a fast fail of less profitable ones.♦ Developed functional specific KPI’s that helped drive change and accountability for all areas of the company.♦ Identified automation opportunities reducing long term contractor staffing needs by more than 25%, at a bare minimum of cost.♦ Updated driver routing algorithms and business processes increasing utilization by 30%, reducing system down time by 50%, cutting fixed cost allocations by 20%, and allowing dramatically faster growth.♦ Developed predictive models that allows for more than 200% increase inefficiencies for selecting new market expansion.♦ Centralized all core reporting around Looker and leveraged LookML to power team of non-technical users to address most data questions by crafting cohesive data strategy around specific looker implemtnation tecnhiques From April 2015 to May 2017 (2 years 2 months) Greater New York City Area


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In a nutshell

Scott Sokoloff's Personality Type

Extraversion (E), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 6 month(s)

Scott Sokoloff's Willingness to Change Jobs

Unlikely

Likely

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