Data Scientist

Crisp


2 weeks ago

11/05/2019 10:25:19

Job type: Full-time

Hiring from: Europe

Category: All others


Here at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply, and solve them together. Come join us, and help build the type of business you’d like to be a part of.

We are a socially conscious, distributed team. We give you the opportunity to solve challenges in the global food industry while living where you’re most comfortable and working in areas where you can help foster and grow the community that you are a part of.

As one of the first members of the data science team at Crisp you have will have a unique opportunity to turn previously scattered and inconsistently structured data into immediately actionable food industry insights to reduce waste, increase freshness and much more.

You have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions. You love engaging with customers, learning about their challenges and then diving into the data to see how to solve them!

Signs of a great candidate

  • Collaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to help us grow together.

  • Customer focused. User experience trumps everything. You understand that a product will have little value if customers don't enjoy using it.

  • Disciplined and reliable. We are a distributed company and you enjoy the benefits of working distributed while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.

  • Appreciative of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You view feedback given to you as an opportunity to get better and strive to do the same for others.

  • Work smarter and harder. You often identify a problem, design a solution and bring it to a state of completion - with others, or even on your own. You are fluent with your toolchain and can deliver well-designed, well-tested production-ready features quickly. You find ways of eliminating or automating stuff that is uninteresting or wasteful, rather than complaining about them.

  • Analytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. You strive for correct solutions, but know what actually matters and when to make compromises. You know when to ship and when to optimize.

Crisp’s Data Science Tech Stack

  • Modern libraries and frameworks.  We use Python with Pandas and Numpy for data science in production.  We use technologies like Jupyter and R during EDA.

  • Diverse technologies and algorithms, solving real world problems.  At Crisp you’ll work with a wide range of technologies and algorithms on a daily basis, in a focused effort to solve large scale problems.

  • Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.

  • Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.

  • Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.

  • Start-up mode.  The team is still small, and the product is fresh.  You’ll be able to exert a large amount of influence, and contribute to decisions that will determine the future of the product and the team.

We are building a team of developers with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific background, experience or geographical location. Instead we’re looking for individuals that are capable, reliable, and hoping to grow along with us. Do you have strengths you can share? If so, we’d love to hear from you!

Please mention that you come from Remotive when applying for this job.

Help us maintain Remotive! If this link is broken, please just click to report dead link!

similar jobs

  • 5 days ago

    Skylight (https://skylight.digital/) is at the forefront of a civic movement to reinvent how the government serves the public in a digital world.

    We’re looking for a Data Scientist to join our talented team of technologists in driving this movement forward.

    You’ll be a key part of our small, but rapidly growing team, which consists of former Presidential Innovation Fellows, founders of 18F, and members of the U.S. Digital Service.

    We work in small, fast, agile teams to create exceptional customer experiences and enduring solutions out of the government’s most complex design and technology challenges. The work is challenging, but highly rewarding.

    Requirements

    What you’ll do:

    • Identify valuable data sources and automate collection processes

    • Undertake preprocessing of structured and unstructured data

    • Analyze large amounts of information to discover trends and patterns

    • Build predictive models and machine-learning algorithms

    • Combine models through ensemble modeling

    • Present information using data visualization techniques

    • Propose solutions and strategies to business challenges

    • Select and use the right tools, frameworks, languages, and technologies for the job, with a preference for open-source solutions

    • Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists

    • Represent Skylight's culture of delivery when interacting with government stakeholders and other contractors

    What we’re looking for:

    • In-depth knowledge of computer science, statistics, and/or mathematics

    • Experience using advanced statistical and data-mining techniques such as regression, properties of distributions, and statistical tests

    • Expertise in programming languages/frameworks such as Java/Scala, R, Python, and SQL

    • Experience with distributed data/computing tools such as Spark, Hadoop, and Hive

    • Experience using web services such as Redshift and S3

    • Expertise in machine learning and deep-learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, and Apache Spark MLlib

    • Experience using business intelligence tools such as Tableau, SAS, Microstrategy, and Looker

    • Experience working with notebooks such as Jupyter, Zeppelin, and Databricks Notebook

    • Experience visualizing/presenting data to stakeholders using tools such as Matplotlib, Seaborn, and D3

    • Strong analytical and problem-solving skills

    • Strong business acumen and curiosity

    • A drive to learn and master new technologies and techniques

    • Ability to select and use the right tools for the job, particularly open-source solutions

    • Ability to communicate clearly to technical and non-technical audiences

    • Experience working within a multidisciplinary, agile team format

    • A mindset and work approach that aligns with our core values (https://skylight.digital/culture/)

    • Able to travel from time to time

    Benefits

    We focus on supporting you in a variety of ways:

    • Competitive salary

    • Profit-sharing and/or bonus opportunities

    • Health insurance, including medical, dental, vision, and more

    • 401k match at 10% of your salary

    • Unlimited paid time-off policy

    • $2,000 continuing education allowance, including conference events

    • Incentives for living in a HUBZone area (https://maps.certify.sba.gov/hubzone/map), including relocation assistance and a monthly stipend to help offset the cost of rent or mortgage. (Read more about us being a HUBZone: https://skylight.digital/about/#hubzone.)

    • Time to focus on activities such as learning & development, open-source projects, and community outreach

    • An environment that empowers you to unleash your superpowers for public good

    • Note that we participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

  • 6 days ago

    The data analyst role at GitLab is a hybrid role: part data analyst, part data scientist, part data warehouse engineer, and part backend engineer.

    This role will require an analytical and business-oriented mindset with the ability to implement rigorous database solutions and best practices in order to produce and influence the adoption of strong quality data insights to drive business decisions in all areas of GitLab.

    Responsibilities

    • Collaborate with other functions across the company by building reports and dashboards with useful analyses and strong data insights

    • Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis

    • Deep understanding of how data is created and transformed through GitLab products and services provided by third-parties to help drive product designs or service usage or note impacts to data reporting capabilities

    • Understand and document the full lifecycle of data and our common data framework so that all data can be integrated, modeled for easy analysis, and analyzed for data insights

    • Document every action in either issue/MR templates, the handbook, or READMEs so your learnings turn into repeatable actions and then into automation following the GitLab tradition of handbook first!

    • Expand our database with clean data (ready for analysis) by implementing data quality tests while continuously reviewing, optimizing, and refactoring existing data models

    • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review

    • Provide data modeling expertise to all GitLab teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in Periscope

    • Approve data model changes as a Data Team 

    • Reviewer and code owner for specific database and data model schemas

    • Own the end-to-end process of on-call data triaging from reading Airflow logs, to diagnosing the data issue, and to verifying and implementing a solution with an automated alerting system (ChatOps, etc) as well as providing data support for all GitLab members

    • Contribute to and implement data warehouse and data modeling best practices, keeping reliability, performance, scalability, security, automation, and version control in mind

    • Follow and improve our processes and workflows for maintaining high quality data and reporting while implementing the DataOps philosophy in everything you do

    This position reports to the Manager, Data

    Requirements

    • 2+ years experience in an analytics role

    • Experience building reports and dashboards in a data visualization tool

    • Passionate about data, analytics and automation. Experience cleaning and modeling large quantities of raw, disorganized data (we use dbt)

    • Experience with a variety of data sources. Our data includes Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow and many others (see the data team page)

    • Demonstrate capacity to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions

    • Deep understanding of SQL in analytical data warehouses (we use Snowflake SQL) and in business intelligence tools (we use Periscope)

    • Hands on experience working with SQL, Python, API calls, and JSON, to generate business insights and drive better organizational decision making

    • Familiarity with Git and the command line

    • Deep understanding of relational and non-relational databases, SQL and query optimization techniques, and demonstrated ability to both diagnose and prevent performance problems

    • Effective communication and collaboration skills, including clear status updates

    • Positive and solution-oriented mindset

    • Comfort working in a highly agile, intensely iterative environment

    • Self-motivated and self-managing, with strong organizational skills

    • Ability to thrive in a fully remote organization

    • Share and work in accordance with our values

    • Successful completion of a background check

    Product

    • Support the Product function by spearheading tracking and reporting initiatives

    • Focus on product usage metrics across SaaS and self-managed products

    • Build cross-functional analyses to drive strategic decision-making

    • Priorities will be set by a Director of Product but will collaborate with and report into the Data Team

  • ABOUT US

    Simon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.

    We are the first and only enterprise customer data platform with a fully-integrated marketing cloud. Moving beyond the limitations of both categories, Simon’s platform empowers businesses to leverage enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.

    Our culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.

    THE ROLE

    Does your perfect job involve leading a team of hardworking data scientists responsible for the ML models driving core functionality? As well as one in which success in your role will be essential to the company? Simon is looking for a thoughtful data science manager to partner with all parts of the business and do just that.

    As a successful leader in this role, you'll use your intimacy with the business' goals to help structure sprint team memberships quarter over quarter as well as manage programs. Drawing upon years of experience as a data scientist, you will collaborate individually with your team members to develop their statistical and engineering skills. You will act as a coach, guide, and recruiter as you build a team of influential data scientists who are role models to their peers in both exemplifying our values & competencies as well as consistently delivering high impact business value.

    We move quickly (multiple deploys throughout the day) and constantly work to reduce waste as well as structure ourselves around the most important goals for the business. Our data science team currently comprises roughly 7 data scientists of diverse backgrounds and skill sets.

    WHAT YOU'LL DO

    • Lead a multi-functional team of junior to staff data scientists to help them grow the next generation of the company’s platform

    • Contribute to building and delivering resource allocations targeted to continue driving the engineering organization forward

    • Drive growth of the team by playing a pivotal role in finding, attracting and hiring talented individuals to Simon

    • Collaborate with the leadership team to produce plans for team personal development, growth, and sustained value

    • Lead critical processes, scale our architecture, or lead design decisions

    QUALIFICATIONS

    • 3+ years of management experience

    • 3+ years of engineering experience as a data scientist or data engineer & comfort with at least one mainstream programming language (Python, Java, Scala, C#, Ruby, etc.), and one statistical programming environment (Jupyter/pandas, Tensorflow, RStudio, etc.)

    • M.S. in a statistical/quantitative field, or equivalent professional experience

    • Proven ability to successfully lead teams & projects

    • Reasonable exposure to & understanding of some form of Agile or modern program management

    • Strong communication skills

    • A fervent appreciation for organization

    • Thrive in a fast-paced environment

    • A passion for working with data

    • Thoughtful, curious and a problem solver

    • Personable, collaborative, and a sense of humor

    Diversity

    We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.

Remotive can help!

Not sure how to apply properly to this job? Watch our live webinar « 3 Mistakes to Avoid When Looking For A Remote Startup Job (And What To Do Instead) ».

Interested to chat with Remote workers? Join our community!