Search for full-time Data Scientist roles in San Antonio, TX, requiring a Bachelor's degree in Computer Science, with 3+ years of experience in Python and SQL.

Okay, I've searched for full-time Data Scientist positions in San Antonio, TX, requiring a Bachelor's degree in Computer Science and at least 3 years of experience in Python and SQL. I have found 47 positions matching your criteria.

Data Scientist

San Antonio, TX

Bachelor

Python

SQL

Full Time

3 years + Experience

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

Sure. Here's the analysis:

Job Analysis:

This Data Scientist role at Insight Global for one of its major clients, Lensa, centers on enhancing advanced keyword search and data retrieval functionalities through sophisticated natural language processing and data mining techniques. The core responsibility is to leverage technologies like Python, SQL, and sentence transformers to build efficient, scalable query systems and improve the quality and reliability of data extracted from transcript grids. Beyond simply coding, the candidate must understand the nuances of precision and recall in NLP contexts, reflecting a deeper need to balance accuracy with comprehensiveness in search outcomes. The candidate will likely confront challenges such as ambiguous or unstructured language data, ensuring integration with existing complex systems, and implementing sift technology solutions to optimize data handling. Success in this role means delivering robust, scalable data queries and transformative data processing methods that directly enhance Lensa’s intelligent matching algorithms. The role requires strong analytical problem-solving and effective cross-functional communication within remote and diverse teams, underscoring the importance of both technical depth and adaptability in dynamic workflows.

Company Analysis:

Lensa is positioned as an innovative leader in the career technology space, leveraging machine learning to revolutionize how job seekers and employers find one another. Its strong foothold, marked by over 10 million registrations, signals maturity and growth potential within a competitive market. This environment demands agility and innovation, with an R&D team spread across Europe and multiple U.S. locations, suggesting a distributed, collaborative culture that values technical excellence and inclusivity. The company’s mission to make job search more human-centric and efficient aligns with the Data Scientist role’s emphasis on sophisticated NLP and data analytics to improve matching algorithms. Candidates joining Lensa must embrace a fast-paced, tech-driven culture that prizes creative problem-solving and teamwork across geographies. This role offers visibility to key product outcomes, implying strategic influence over the company’s core technology and long-term market differentiation. Aligning with Lensa’s inclusive values and technological ambitions will be crucial for thriving and driving impact within the company.

Mock up some interview questions based on the job description.

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

Behavioral: Tell me about a time when you had to optimize a complex SQL query under tight performance constraints. How did you approach it and what was the outcome?
Behavioral: Describe an instance where you identified and resolved data quality issues in an NLP-driven project. What steps did you take to ensure accuracy and reliability?
Behavioral: Can you share an experience working in a remote or distributed team setting? How did you ensure effective collaboration and communication?
Behavioral: Tell me about a time when you had to explain a complex technical concept to a non-technical stakeholder. How did you tailor your communication?
Technical: How would you design and implement SQL queries that facilitate advanced keyword search and retrieval in transcript data?
Technical: Explain your experience with sentence transformers and how you have applied them practically to improve NLP model outcomes.
Technical: What strategies do you employ to balance precision and recall in text mining and NLP projects? Can you provide an example?
Technical: Describe your familiarity with sift technology or similar tools. How would you integrate such technologies in a data processing pipeline?
Situational: Imagine you discover systematic inaccuracies in the transcripts being used for NLP analysis. What steps would you take to troubleshoot and address this issue?
Situational: Suppose your Python-based data processing solution is not scaling well with the increasing volume of transcripts. How would you optimize performance without compromising accuracy?
Situational: If you are assigned to work with cross-functional teams who have differing views on data priorities, how would you navigate and align these perspectives to meet project goals?
Company Fit: What interests you most about working with Lensa and contributing to its mission of transforming the job search experience?
Company Fit: How do your personal and professional values align with Lensa’s commitment to inclusivity and creating authentic work environments?
Company Fit: Given Lensa's global R&D presence and evolving technologies, how do you stay current with emerging data science trends and tools?
Questions for Interviewer: How does the data science team at Lensa collaborate with product and engineering units to impact the end-user experience?
Questions for Interviewer: What are the key challenges Lensa anticipates in scaling its NLP-driven search functionality over the next year?
Questions for Interviewer: Can you describe the opportunities for professional growth and skill development in this role over the first 12 months?

Job Details

Overview Company

Data Scientist

$110k/y

Lensa

3 months ago

Highlight

RemoteFull-time3+ yearsMid

Summary

Insight Global is seeking a Data Scientist - Remote to join their team. The role involves utilizing advanced data retrieval functionalities, conducting quality checks, and developing SQL queries to enhance search capabilities.

About the Role

As a Data Scientist, you will utilize grid space to retain transcripts, conduct quality checks, develop language-native queries, create SQL queries, work with sentence transformers, employ sift technology, and code solutions primarily in Python.

About You

Required:

Bachelor's Degree in Computer Science or related degree
3+ years' experience with Python programming
3+ years experience with SQL based queries, including creation, optimization, and integration
3+ years knowledge of Data science and NLP
Understanding of precision and recall in data science
Experience with Data Mining
Familiarity with clustering and linking of data
Exposure to Text Mining and Natural Language Processing (NLP)
Familiarity with sentence transformers and their practical applications

Preferred:

Knowledge of sift technology or similar data processing tools is a plus
Experience working with insurance companies

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.

San Antonio, TX