Senior Data Scientist

Pivotal Labs New York City , NY 10008

Posted 3 months ago

About Us VIDEO

Founded in 2013, Pivotal Software, Inc. combines our leading cloud-native platform, tools, and methodology to empower the world's largest organizations to adapt to change and build great software. Our technology unleashes developer productivity, while fulfilling our mission to transform how the world builds software.

You

As a data scientist on Pivotal's Data Science team, you'll be working on a wide variety of data problems for a diverse range of clients. You will often be asked to learn new technologies and domains on the fly. You should be comfortable working under deadlines and making tough decisions. Consequently, you will frequently have to balance achieving an immediate goal with scalability and productionalizability.

The role offers room for personal and professional growth, and you won't be working in isolation. Data Science at Pivotal is an encouraging and supportive team, where ideas and challenges are addressed collaboratively. We're looking for the kind of person who will try and solve a problem on their own first, but isn't afraid to ask for help or say "I don't know."

Us

The Data Science team at Pivotal is primarily a consulting practice; we are tool agnostic, working with our customers to solve real world problems. Our customers, like us, are cross-disciplinary. We service engagements with use cases running from customer churn to optimization to detecting fraud and misconduct. We are not just doers, we are also educators and enablers.

Your Day

While there is no such thing as a "typical day", these are activities we frequently find ourselves doing:

  • Working with clients to uncover and frame new opportunities for data science. Clients often come to us without a clear understanding of what we can do, so this is our chance to open their eyes to new possibilities for their businesses.

  • Exploring client datasets, looking for actionable insights we can present.

  • Engineering features, training models, tuning hyperparameters and evaluating the results. We emphasize rigor, because data science done right at this stage leads to models that shine in production.

  • Taking the models we build into production. This is an exciting stage for anyone who likes collaborating with engineering teams and seeing their model become real when users interact with it.

  • Helping our clients develop their internal data science practices, from hiring and recruiting to data capturing, so that they can be successful when we hand off the project.

Required Skills / Experiences

  • Clear and empathetic communicator. You'll be the one sharing your insights with clients and stakeholders at check-ins, documenting your work, and even explaining your model to client data teams as part of a handoff. As such, communication and empathy are essential parts of your toolkit.

  • Advanced knowledge of statistical modeling and/or machine learning methods. These are the tools we need to go from analysis to prediction.

  • Strong programming skills. Left to our own devices most of us work in Python, but learning the client's tech stack is an important part of the job.

  • Strong exploratory data analysis skills. Every engagement starts with an investigation of the data, and thorough EDA saves us a lot of headaches in the long run.

  • Some travel is expected, depending on location and skillset. We mostly work out of the Pivotal office closest to the client, but sometimes we have to be on site for an extended period of time.

  • At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education welcome and encouraged.

This role will support US government clients that require US citizenship. Given this, US citizenship is required for you to apply.

Desired Skills / Experiences

  • 2+ years of work in a data-centric field (data science or data engineering).

  • Experience with relational databases.

  • Exposure and experience working in a Linux environment.

  • You have a specialization in an area like NLP, optimization, or image processing.

  • Hands-on experience working in a distributed computing environment or proven theoretical understanding of parallelism.

Pivotal is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Data Scientist

Bluecore

Posted 5 days ago

VIEW JOBS 1/18/2020 12:00:00 AM 2020-04-17T00:00 Bluecore is a retail marketing technology company that is reimagining the way retailers communicate with shoppers. The 2019 launch of Bluecore Communicate™ introduces retailers to a fundamentally different email solution that replaces manual processes with an intelligent, AI-driven workflow. More than 400 retail brands, including Staples, Tommy Hilfiger, The North Face, TomboyX, and Bass Pro Shops, increase their marketing performance with less effort through Bluecore. Bluecore has been recognized as one of the Best Places to Work by Glassdoor and is ranked No. 241 on the Inc. 500 List, the most prestigious ranking of the nation's fastest-growing private companies. We are looking for Senior Data Scientists with a strong mathematical background to work alongside our Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers. The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with our Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it. They have first-hand experience with what works and what doesn't, and are eager to share this experience with more junior members and guide them through that process. They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on our unique data asset. Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door. Over the past six years Bluecore has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data; an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Senior Data Scientist, you'll be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. We build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable. Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary. We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customer's product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications. Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400+ diverse customers who span industries from apparel to automotive. To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, we're a team that values applied research and constantly exploring the frontier of what's possible; diving into fields such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy. Responsibilities * Identifying appropriate models/algorithms to solve product requirements * Meticulous experimentation to evaluate and compare models * Writing internal and external facing documentation describing models and approaches * Deploying models to production and maintaining them * Identify new opportunities to leverage our data asset * Propose and drive technical initiatives * Propose infrastructure to accelerate the pace of model exploration and improve model serving and maintenance Requirements * PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering * Relevant coursework and experience in the fields of Machine Learning, Statistics, and Optimization * Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra * 3+ years of relevant industry experience, including internships * Ability to write production-ready code * Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization * Experience with ML at scale * Experience with SQL Benefits: * Highly competitive compensation package including salary and equity as well as the opportunity to work for one of the fastest growing marketing technology companies. * Comprehensive medical, dental, and vision insurance * Daily catered lunch and snacks * 401(k) plan * Monthly fitness reimbursement for a gym membership or fitness classes * Monthly public transportation reimbursement * Generous Parental Leave & flexible vacation policy At Bluecore we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences. Bluecore is a proud equal opportunity employer. We are committed to fair hiring practices and to creating a welcoming environment for all team members. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, familial status or veteran status. Bluecore New York City NY

Senior Data Scientist

Pivotal Labs