Careers / Data Scientist

Data Scientist

Unleash the power of data to drive innovation. Employ your expertise in machine learning, statistics, and data analysis to extract valuable insights from massive datasets. Partner with business stakeholders to translate complex questions into actionable data science projects. Develop and implement cutting-edge machine learning models to solve real-world business challenges. Communicate your findings effectively to both technical and non-technical audiences.
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Overview

Lektik is on a mission to conquer the AI landscape. To achieve this, we leverage the power of data to make informed decisions and drive innovation. We’re seeking a talented Data Scientist to join our growing team and play a pivotal role in unlocking the hidden potential within our vast datasets.

 

 

In this role, you’ll be a data detective, using your expertise in machine learning, statistics, and analysis to uncover valuable insights. You’ll translate these insights into actionable strategies that will propel Lektik forward. If you thrive on intellectual challenges and have a passion for making a real impact through data, then we encourage you to apply!

Skills & Qualifications

Bring your data science expertise

  1. You possess 3+ years of experience as a Data Scientist or similar role, with a proven track record of success in solving complex problems through data analysis.
  2. Your analytical mind thrives on uncovering hidden patterns and trends within massive datasets. You’re an expert in machine learning algorithms, statistical modeling, and data analysis techniques (e.g., scikit-learn, R, TensorFlow, etc.).
  3. Data wrangling, cleaning, and feature engineering are second nature to you.

 

 

Communication and collaboration are key

  1. You excel at translating complex data findings into clear and concise communication for both technical and non-technical audiences.
  2. Proficiency in SQL is a must, and experience with data warehousing or cloud platforms (AWS, GCP, Azure) is a plus.

Roles & Responsibilities

Unleashing the power of data science

  1. Design, develop, and implement cutting-edge machine learning models to solve complex business challenges.
  2. Prepare data for modeling by performing in-depth analysis, cleaning, and feature engineering.
  3. Evaluate and interpret the results of your models, drawing insightful and actionable recommendations.

 

 

Sharing knowledge and driving results

  1. Communicate your findings effectively through presentations, reports, and compelling data visualizations, catering to both technical and non-technical audiences.
  2. Stay at the forefront of data science by keeping pace with the latest advancements in methodologies and tools.
  3. Collaborate seamlessly with engineers and other data professionals to integrate your models into production systems.

Apply Now!

At Lektik, we believe in taking care of our team members and providing an environment where they can thrive both personally and professionally. Here are some of the perks you'll enjoy as part of our team:

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Competitive Salary: We offer competitive salaries to ensure that our team members feel valued and rewarded for their contributions.

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Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible work arrangements to accommodate your needs.

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Employee Wellness Programs: Take advantage of employee wellness programs, including gym memberships, wellness workshops, and more.

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Collaborative Culture: Join a collaborative and supportive team environment where your ideas are valued and respected.








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    Working at Lektik has been an incredible journey filled with growth, collaboration, and meaningful experiences. The innovative culture here fosters an environment where ideas are not only welcomed but celebrated, empowering each of us to push the boundaries of what's possible. The sense of camaraderie among the team is palpable, and it's inspiring to see how everyone comes together to tackle challenges and achieve shared goals.

    Emily Smith
    Marketing Specialist (Digital)