Search for Data Scientist roles in Atlanta, specifically focusing on online analytics, requiring 4+ years of experience, with skills in Python and SQL.

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Data Scientist

Atlanta, GA

4 years + Experience

Python

SQL

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Lensa revolves around leveraging data science to enhance business profitability, efficiency, and customer experience. Fundamentally, this position requires the individual to extract insights from large datasets, applying advanced analytical techniques. One key responsibility is the design and development of algorithms and analytical models that will uncover valuable business intelligence. This task is not just about coding; it requires a profound understanding of business operations to ensure that the insights generated are actionable and aligned with the company's strategic goals. The role includes significant interaction with both technical and non-technical stakeholders, meaning effective communication and relationship-building skills are essential for translating complex data analyses into comprehensible insights. Candidates will likely face challenges such as working with cross-functional teams where differing priorities may exist, necessitating strong collaboration and negotiation skills. Success in this position looks like the effective delivery of data-driven recommendations that influence business decisions, the development of a robust library of reusable code, and the establishment of trust with internal clients. Achieving these goals within the first 6-12 months will require not only technical prowess but also agility to adapt to the dynamic needs of the organization.

Company Analysis:

Lensa occupies a unique niche within the job search and talent acquisition sector, utilizing machine learning to streamline the hiring process. As an innovative company positioned as a leader in transforming career technologies, Lensa's goals align closely with the Data Scientist role focused on maximizing data utility to foster business growth. The company's emphasis on putting people first suggests a culture that values actionable insights and customer-centric solutions; thus, candidates who embody a service-oriented mindset will likely resonate well with its ethos. Given Lensa's rapid expansion and its significant investment in technology and data science talent, this role may present considerable visibility and influence within the organization. The need for collaboration across various teams implies that the Data Scientist must not only be a technical expert but also a cultural fit, capable of adapting to a potentially fast-paced, innovative work environment. The key strategic alignment for this position lies in its role as a growth facilitator, helping to extract insights that drive operational efficiency and improve overall customer satisfaction, thereby reinforcing Lensa’s market position.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze a large dataset to solve a business problem. What was your approach and what were the results?
Can you describe an instance where you had to communicate complex data insights to a non-technical audience? How did you ensure they understood your recommendations?
Describe a situation where you faced a significant challenge while working on a data analytics project. How did you overcome it?
How do you prioritize multiple projects with competing deadlines, especially when working with cross-functional teams?
What steps would you take to design an algorithm to better understand customer behaviors from large sets of transactional data?
Can you explain your experience with predictive modeling? How have you applied this in your previous roles?
Describe your proficiency with SQL or BigQuery. Can you walk us through a specific example of how you've utilized these tools in past projects?
Given Lensa's mission of matching candidates to roles effectively, how would you approach developing a recommendation system?
Imagine you are tasked with improving the customer experience for a specific product line using data insights. What steps would you take to identify and solve potential issues?
How do you keep up with advancements in data science, and how would you apply new learnings to your work in this role?
Why are you interested in working at Lensa specifically, and how do you think your strengths will benefit our mission?
What aspects of Lensa's company culture appeal to you, and how do you see yourself contributing to it?
How would you ensure that your data-driven recommendations align with the broader business objectives of Lensa?

Job Details

Overview Company

Data Scientist

Lensa

7 days ago

Highlight

OnsiteFull-time4+ yearsMid

Summary

Home Depot is seeking a Data Scientist- Online Analytics to join their team in Atlanta, GA. The role involves supporting data science initiatives to drive business profitability, increased efficiencies, and improved customer experience.

About the Role

As a Data Scientist, you will apply advanced analytics methods and algorithms to identify trends and provide business solutions. You will design and develop algorithms and models to create business insights, communicate results to both technical and non-technical audiences, and collaborate with business partners and cross-functional teams. You will also seek further knowledge on key developments within data science and develop replicable solutions.

About You

Required:

Bachelor's degree in a related field or equivalent experience.
3+ years of experience in business intelligence and analytics.
Working knowledge of Microsoft Excel and PowerPoint.
Experience in a modern scripting language (preferably Python).
Proficient in running queries against data (preferably with Google BigQuery or SQL).
Proficient with data visualization software (preferably Tableau).
Proficient in utilizing statistical techniques to identify key insights.

Preferred:

Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search, or NLP.
Demonstrated experience in predictive modeling, data mining, and data analysis.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Atlanta, GA