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Lead Data Scientist

What's the role?

 

In this role as a Lead Data Scientist, you will be contributing to the research of new algorithms and analysis of customer data. You will be responsible for performing statistical analyses on large datasets. You will use your software engineering skills to further develop our data analytics tools.

 

Your role encompasses the following key responsibilities:

 

  • Research new anonymization algorithms including defining and verifying key metrics
  • Apply machine learning techniques to extract insights and build predictive models
  • Create data visualizations and dashboards to communicate findings effectively
  • Demonstrate your findings on a regular basis to the team
  • Generate ideas for new patents and participate in patenting process
  • Participate in code reviews, providing objective feedback and improving overall software quality
  • Actively participate in sprint planning, backlog refinement and other Agile ceremonies with the team

Who are you?

 

You are a passionate engineer and are willing to quickly learn new things.You have a unique blend of data analysis expertise and programming proficiency, with a focus on data protection and machine learning. Furthermore you have :

 

  • Bachelor’s degree or higher in Computer Science, Data Science or equivalent field 
  • Seven to ten years of overall work experience including 5+ years of experience in data analysis and software development
  • Strong proficiency in Python programming (including pandas)
  • Expertise in machine learning algorithms and their applications
  • Solid understanding of statistical analysis and data visualization techniques
  • Excellent problem-solving and critical thinking skills
  • Being able to work autonomously
  • Willingness to ensure the quality of your own code
  • Upper-intermediate level of written and spoken English, ability to articulate and communicate clearly complex topics.

 

What we offer:

  • A great work-life balance
  • Hybrid working model
  • Flexible working hours
  • Competitive base salary plus incentives
  • Challenging problems to solve
  • Collaborative and encouraging colleagues
  • Regular feedbacks

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Who are we?

 

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an  open world and driven to create positive change. Join us.  Learn more about us. Watch video

 

 

In this position you will be part of the HERE Anonymizer team, which provides a high-quality probe data anonymization solution. It transforms huge amounts of car trajectory data to comply with worldwide data protection laws and regulations. We are a small team of talented engineers located in Mumbai/India and Berlin/Germany. Our culture is founded on openness, collaboration and honesty, with colleagues who are brilliant in their field, helpful, resilient, loyal and strive for the best. One team in that everyone makes a difference and everyone is heard.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Lead Data Scientist, HERE Technologies

At HERE Technologies, we are searching for a passionate Lead Data Scientist to join our dynamic team in Mumbai. In this exciting role, you will dive deep into the world of data, contributing to groundbreaking research on new algorithms while analyzing vast amounts of customer data. As our Lead Data Scientist, you will not only be performing statistical analyses but also harnessing your software engineering skills to enhance our data analytics tools. Your days will be filled with innovative tasks like applying machine learning techniques to extract meaningful insights, building predictive models, and creating engaging data visualizations and dashboards that clearly communicate your findings. Your contributions will matter as you generate ideas for new patents, foster collaboration through regular demonstration sessions with the team, and partake in Agile ceremonies like sprint planning and backlog refinement. We are looking for someone with strong programming proficiency, especially in Python and machine learning algorithms, as well as a background in data analysis. A Bachelor's degree or higher in Computer Science, Data Science, or a related field is required, coupled with extensive experience in the data science domain. At HERE Technologies, we are committed to offering a great work-life balance, a hybrid working model, flexible hours, and a competitive salary. If you’re excited about creating a positive impact in the world through data, join us and become a part of a culture founded on collaboration, innovation, and inclusivity.

Frequently Asked Questions (FAQs) for Lead Data Scientist Role at HERE Technologies
What are the core responsibilities of a Lead Data Scientist at HERE Technologies?

As a Lead Data Scientist at HERE Technologies, you will engage in pioneering research of new anonymization algorithms, perform statistical analyses on large datasets, and refine our analytics tools. You will also apply machine learning techniques, build predictive models, create data visualizations, and regularly present your findings to the team. Generating patent ideas and participating in code reviews are also part of your responsibilities.

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What qualifications do I need to join HERE Technologies as a Lead Data Scientist?

To be considered for the Lead Data Scientist position at HERE Technologies, you should hold a Bachelor's degree or higher in Computer Science, Data Science, or a related field. Additionally, seven to ten years of experience in data analysis and software development is typically required, along with strong proficiency in Python and expertise in machine learning algorithms.

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What skills are essential for a successful Lead Data Scientist at HERE?

A successful Lead Data Scientist at HERE Technologies should possess a unique blend of strong programming skills, particularly in Python, expertise in machine learning applications, and a solid understanding of statistical analysis and data visualization techniques. Excellent problem-solving abilities, the capacity to work autonomously, and strong communication skills in English are also important.

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How does HERE Technologies support work-life balance for Lead Data Scientists?

HERE Technologies values work-life balance and offers a hybrid working model with flexible working hours to help Lead Data Scientists balance their professional and personal commitments. This supportive environment encourages productivity and job satisfaction.

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What culture can I expect when working as a Lead Data Scientist at HERE Technologies?

At HERE Technologies, you'll find a culture founded on openness, collaboration, and honesty. Our team in Mumbai is composed of talented engineers who are dedicated, resilient, and supportive, fostering an inclusive environment where everyone's contributions are valued.

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Common Interview Questions for Lead Data Scientist
Can you explain your experience with machine learning algorithms as a Lead Data Scientist?

When answering this question, be specific about the machine learning algorithms you have utilized, their applications in your previous work, and the outcomes you achieved. Cite examples of projects where you successfully applied these techniques to solve real-world problems.

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How do you approach statistical analysis in your data projects?

In your response, outline your systematic approach to statistical analysis, including defining the problem, selecting appropriate methods, analyzing datasets, and interpreting results. Make sure to include examples from past experiences to demonstrate your skill.

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Describe a challenging problem you faced as a Data Scientist and how you resolved it.

Use the STAR method (Situation, Task, Action, Result) to describe a specific challenge, detailing your role, the steps you took to address the situation, and the positive outcomes of your actions.

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What programming languages are you proficient in and how do they contribute to your work?

Highlight your proficiency in programming languages such as Python, R, or others relevant to data science. Explain how your skills in these languages enhance your ability to analyze data, build models, or create visualizations, especially within the context of the role at HERE Technologies.

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How do you ensure data privacy and compliance in your data analyses?

Discuss your understanding of data privacy laws, such as GDPR, and the measures you take to comply with these regulations during data handling and analysis. Include examples of how you've implemented data protection protocols in previous projects.

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How do you communicate complex data insights to non-technical stakeholders?

Emphasize your ability to create clear data visualizations and dashboards, as well as your verbal communication skills. Provide examples of past experiences where you successfully translated technical findings into insights that resonated with non-technical audiences.

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What is your experience with Agile methodologies?

Share your understanding of Agile practices, such as Scrum or Kanban, and discuss how you have participated in team ceremonies like sprint planning, retrospectives, or backlog refinement to deliver quality results on time.

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What tools and technologies do you prefer for data visualization?

Discuss your familiarity with data visualization tools such as Tableau, Power BI, or custom Python libraries, and explain your process for selecting the appropriate tool based on the project requirements and audience.

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How do you keep up with the latest trends in data science and technology?

Talk about your commitment to continuous learning through online courses, webinars, conferences, or networking with other data science professionals, and how you apply new knowledge to your work.

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Can you describe a project where you collaborated with a team to achieve a data-driven objective?

Utilize the STAR method to share a specific team project, detailing the goal, your role in collaboration, the challenges faced, and the successful outcomes achieved. This will highlight your teamwork skills which are critical at HERE Technologies.

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Full-time, hybrid
DATE POSTED
March 27, 2025

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