Best Data Analyst & Data Science Jobs in NYC

The Data Science and Monetization team is responsible for tackling some of the company's most difficult problems and distilling its large volumes of data into relevant, actionable knowledge. Candidates must have a strong foundation of technical and quantitative skills and be focused on how insights can impact business results. While analytic rigor is a must, this is an applied research function where impact matters more than techniques utilized. Areas of focus range from business intelligence, predictive modeling, product testing, pricing strategy, financial modeling, self-service reporting automation, data architecture development, and marketing decision support.

You'll join a growing analytics team that drives Attune’s business model forward by solving some of the most complex analytical problems in the industry. You will partner with the actuarial, underwriting, claims, product, revenue and customer service functions within Attune to frequently test new hypotheses, implement learnings and create edge. 

Leverage cutting-edge data science capabilities and technology to design products used to help healthcare clients plan, target, measure and optimize their marketing campaigns. Contribute to the development of Crossix’s rapidly growing and market leading programmatic modeling solutions. Help to discover and deliver innovative advanced analytics powered features and product offerings from prototype to massive scale. Apply machine learning and advanced analytics techniques to large data sets of health and consumer data. Explore and find meaning in extremely high volumes of data to extract actionable insights that will help drive business decisions; perform data query, data cleansing and experiment design.

We’re looking for a data-savvy individual to join our team as a Data Scientist to support data-centric product development to create consumer-focused research content based on our real-time feed of billions of flight search results, along with an archive of several trillion data points. You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience.

In this position, you are a key stakeholder in the company’s data strategy and its implementation to generate value from data. You’ll be responsible for building and operationalizing data products (from data collection, cleaning, preprocessing, to training models and running them in production). The ideal candidate knows that data needs to marry math, and can communicate across the business to understand challenges and share solutions. 

You’ll be a member of our data science team with a focus on ads measurement. In this role, you will be a subject matter expert on every part of our ads measurement offering – conversion lift and experiments, synthetic controls, reach and frequency, brand lift, etc. In addition, you will be an expert in the processes and data that enable these solutions – understanding the role of identity and advocating for changes if needed, building ways to account for missing transaction data, correcting non-response bias, panel bias, and so on. Your day-to-day will be spent interfacing between our Product Management, Data Partnerships, and Data Engineering teams to help lead the development and improvement of our measurement solutions. In this role you may also serve as a technical lead, guiding projects and mentoring junior members of the team

Frame and conduct complex exploratory analyses needed to deepen our understanding of our users. Partner with product, business and strategy teams to contribute to product improvements and initiatives. Use machine learning and big data tools on tremendously large and complex data to deepen our data-driven advice and personalized modeling. Conduct research into various aspects of our business and employ statistical and modeling techniques when appropriate to make recommendations to non-technical stakeholders.

Build innovative data products (i.e. real-time services, such as personalization and commerce graphing using Big Data platforms with real-time data ingestion and processing). Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior. Cultivate strong collaborative relationships with product, engineering, senior stakeholders. Share your technical solutions and product ideas with the BCG Digital Ventures team through design review, pair programming, code reviews, and tech talks.

The Lead Data Scientist will be responsible for developing, executing, and overseeing the day-to-day management of the company’s data science team focused on personalization. Additionally, alongside the product and engineering teams, you will have a role in shaping the product. This is a great opportunity to build something from the ground up.

Demonstrate and communicate a passion about building the data foundation, products and capabilities that drive business growth. Build innovative data products: e.g., real-time services, such as personalization; A/B testing; audience segmentation; unified profile; commerce graph; as well as a big data platform on Hadoop and Spark with real-time data ingestion and processing. Conceptualize, define, and oversee regular updates around key product metrics as the company’s challenges and data evolve. Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior. Cultivate strong collaborations with product, engineering, senior stakeholders. Share your technical solutions and product ideas with the BCG DV team through design review, pair programming, code reviews, and tech talks. Balance competing priorities while adhering to deadlines and aligning resources with value demands.

In this role, you will be a subject matter expert on every part of our identity offering, including our own first party cross-device solutions, how we match to third party vendors, and our unified graph, “identity alliance” which combines cross-device graphs from multiple partners. The identity graph is a foundational part of our platform, powering many of our measurement, targeting, and optimization capabilities. As a result, this person needs not just understand the graph itself, but, almost more importantly, all its downstream dependencies as well. Lastly you will be an expert in the processes and data that enable these solutions and provide input into the collection of new data sources. Your day-to-day will be spent interfacing between our Product Management, Data Partnerships, and Data Engineering teams to help lead the development and improvement of our identity solutions. In this role you may also serve as a technical lead, guiding projects and mentoring junior members of the team.

Summer is hiring a Data Analyst to power insights across the entire company. Data lies at the core of our loan algorithms as well as our business decisions, and this position will involve cross-team collaboration to transform data into actionable strategies.