Senior Data Scientist

Posted 3 Days Ago
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Tel Aviv-Yafo
Hybrid
Senior level
HR Tech • Sales • Software • Database • Business Intelligence
The Role
The Senior Data Scientist will lead complex data science projects, leveraging machine learning and data analysis to solve business problems. They will collaborate with business stakeholders, define success criteria, and work with data engineers to implement solutions, while also mentoring junior team members.
Summary Generated by Built In

Join Lusha, where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, every voice matters; together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.

As a Lusha employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.

We’re looking for a Senior Data Scientist to be a pivotal member of the data science team, taking ownership of executing an E2E challenging data science project in various areas of our product. Additionally, as a Senior Data Scientist, you will strengthen our methodologies, infrastructure, and algorithmic approaches.

Where does this role fit in our vision?

Every role at our company is designed with a clear purpose—to integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI are at the center of Lusha’s strategy and are imperative to Lusha’s continuous success.

How you’ll shape the future of B2B sales

  • solve complex business problems using ML and data-driven techniques using a wide range of both classic and relevant SOTA algorithms and technologies.
  • Work against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
  • Dirt your hands with our endless stream of data, doing real-world data science impacting directly and significantly on our core product and user experience. 
  • Define success criteria for each goal, and build and own the monitoring flow and maintenance plan for each solution. 
  • Work closely with our data engineers to build the needed infrastructure and push solutions successfully to production.
  • Continuously self-learn, grow professionally, and mentor younger team members.

Requirements

Here’s what we need from you

  • A team player. You will collaborate across the data team and with other teams as well
  • Autodidact like a challenge, motivated
  • Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things right
  • Independent. You pick things up quickly and can execute independently from ideation to implementation
  • Results-driven. You have a can-do approach, drive to exceed your goals 
  • Data-oriented. Do you like analyzing and working with data
  • Business-oriented You are interested in our business, products, and services and know how to translate business needs into ML solutions. 
  • Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts
  • Story Teller. You love and are confident in presenting your results and ideas clearly and concisely. 
  • Resilient in Ambiguity. You thrive in fluid situations, discerning and shaping the path forward when things aren't clearly defined.

Requirements:

  • 5+ years of experience as an industry data scientist.
  • MSc/PhD/equivalent in a relevant field. 
  • Proficient in the basic data science Python toolbox (Pandas, Scipy, Numpy, Scikit-learn…).
  • Proven record of successfully executing E2E data science projects.
  • Well-acquainted with both classical ML and DL models over a wide range of problems. 
  • Proven record in presenting your ideas to both colleagues and customers.
  • Experience in DL/ML for text analysis\NLP - a significant advantage. 
  • Experiencing working with Big Data processing tools (Spark) - an advantage. 
  • Familiarity with Databricks ecosystem - nice to have.

How will you innovate? How will you learn? 

As a growth-stage company constantly evolving, you'll find opportunities to tackle unique projects and initiatives, all while being part of a thriving company that has evolved from its startup roots. You'll play a crucial role in our journey, with plenty of room to grow professionally. As we move forward, you'll have a stake in our success, sharing in the rewards as we expand and innovate together, continuously learning along the way.

Why Lusha? It’s simple

Established in 2016 by Assaf Eisenstein and Yoni Tserruya, Lusha's dream is to revolutionize the B2B sales landscape. With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. This journey reflects our unwavering commitment to innovation and excellence as we continuously set new standards in the industry. Trusted by industry giants like Zendesk, Google, and Yotpo, Lusha is the go-to resource for sales intelligence, having started as a profitable bootstrap company and survived solely on profits for 4.5 years. Join us and experience a career journey as distinct and dynamic as you are.

Top Skills

Ml

What the Team is Saying

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The Company
Boston, MA
300 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

At Lusha, we're building a future where every B2B sales professional is equipped with the data they need to succeed. Founded in 2016 by Assaf Eisenstein and Yoni Tserruya, our mission is to organize the world's business data while empowering our customers to uncover relevant revenue and growth opportunities. We're proudly GDPR compliant and maintain a globally compliant database.

With a staggering reach of 1 million users and a database boasting over 200 million entries, including 45 million direct contacts in North America, 50 million enterprise and SMB business profiles, and 21 million GDPR-compliant European contacts, Lusha stands as an indispensable resource in the B2B landscape. Our community has surged to over 670,000 sales professionals and 223,000 sales organizations, proudly showcasing partners such as Zendesk, Google, and Yotpo.

With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. Starting as a profitable bootstrap company and surviving solely on profits for 4.5 years, our journey is a testament to our commitment to innovation and the iconic brand we've become, continuously setting new standards in the industry.
In total, Lusha has 300 employees globally in two sites—Tel Aviv and Boston. Our teams are the driving force behind everything we do, dedicated not only to meeting but exceeding our customers' needs. We understand the importance of connection, fostering a collaborative environment where every employee contributes to our success.

Your voice matters, your ideas count, and together, we'll thrive.
Join us on this journey to revolutionize B2B sales. Let's grow better together.

Why Work With Us

Welcome to Lusha, where culture isn't a label—it's our DNA. Dream-driven creators, user-centric innovators, and relentless learners, we thrive on simplicity, collaboration, and trust.
Join us in shaping a company we're proud of—one where every voice matters and dreams fuel our journey.

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Lusha Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
IL
Boston, MA
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