About
the job: Data Scientist
Career
Level
: Entry Level
Location
: Onsite/Hybrid - Plano, Texas
Who
We Are:
This
is Spearhead Technology — where every challenge is an
opportunity, and every solution is a masterpiece in the making.
As a full-lifecycle IT company, we transcend mere delivery; we
engineer success.
From
inception to implementation, our seasoned expertise shepherds
every phase of the journey. Be it planning, analysis, design,
development, testing, or the seamless transition to production,
we stand as steadfast partners in our clients’ progress.
At
Spearhead Technology, quality isn't a mere
aspiration—it's our ethos. Rooted in Tech Advisory, our
methodology is guided by insights that spark transformative
outcomes. We recognize the paramount importance of talent
retention. Through a steadfast commitment to work-life balance,
competitive remuneration packages, and an optimized operational
model, we ensure our team remains as exceptional as our
services.
Step
into Spearhead Technology, where innovation meets precision, and
together, let's sculpt the future of technology with finesse
and distinction.
Requirements
We are
seeking a highly motivated Data Scientist to join our
dynamic team. In this role, you will work under the supervision of senior data
scientists and engineers to analyze data, develop models, and contribute to
data-driven decision-making. This is an excellent opportunity to enhance your
technical skills, gain hands-on experience with machine learning and data
analytics, and contribute to impactful business solutions.
Key Responsibilities
- Assist
in the development, testing, and deployment of data science models and
software applications under the guidance of senior engineers.
- Work
with structured and unstructured data, performing data collection,
cleaning, and preprocessing for analysis and model development.
- Write
efficient and maintainable code in at least one programming language (e.g., Python, R, SQL) while adhering to coding standards.
- Develop
a foundational understanding of machine learning algorithms, data
structures (arrays, linked lists, stacks, queues), and algorithms
(sorting, searching) for solving computational problems.
- Utilize
statistical techniques and machine learning frameworks to identify trends,
patterns, and insights from data.
- Perform basic
troubleshooting and problem-solving in data pipelines and modeling
tasks.
- Gain
hands-on experience with data visualization tools (e.g., Matplotlib,
Seaborn, Tableau, Power BI) to effectively communicate findings.
- Collaborate
with cross-functional teams to understand business needs and align data
science solutions with organizational goals.
- Continuously
seek feedback, embrace learning opportunities, and participate in
discussions to improve problem-solving and technical skills.
- Exhibit self-leadership by demonstrating teamwork, responsibility, adaptability, attention to
detail, and a growth mindset.
Required Qualifications
- Bachelor’s
degree in Computer Science, Data Science, Statistics, Mathematics, or
a related field.
- 1-3
years of experience in data science, analytics, or relevant
academic/internship experience.
- Proficiency
in one programming language (Python, R, SQL, or similar).
- Understanding
of fundamental software engineering concepts, development
methodologies, and coding best practices.
- Knowledge
of data structures and algorithms.
- Familiarity
with data analysis libraries (Pandas, NumPy, SciPy) and machine
learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Ability
to work in a collaborative environment and apply strong analytical
and problem-solving skills.
Preferred Skills
- Experience
with cloud platforms (AWS, Azure, Google Cloud) for data storage
and processing.
- Understanding
of big data technologies (Hadoop, Spark, SQL-based databases).
- Exposure
to natural language processing (NLP) or time-series analysis.
- Familiarity
with version control systems (Git).
Benefits
What’s
in it for you:
At
Spearhead Technology, we prioritize your well-being and
professional growth. Here's what you can expect:
- Achieve
a healthy work-life balance.
- Competitive
compensation and abundant growth opportunities.
- Enjoy
a standard 5-day workweek with 2 fixed weekly
offs.
- Experience
an employee-centric environment with supportive
policies.
- Benefit
from family-friendly and flexible work
arrangements.
- Access
our Performance Advancement and Career Enhancement (PACE)
initiative and discover opportunities for both personal and
professional growth. From tailored career development plans to
expert counseling services, PACE empowers you to chart your
course to success with confidence and clarity.
Elevate
your career trajectory with our Learning & Development
(L&D) program. Join our team and embark on a
transformative journey of upskilling and self-discovery. With
continuous learning as your compass, you'll not only
enhance your expertise but also open doors to new
opportunities, paving the way for career growth and
fulfillment.
Please
note :
At Spearhead Technology, we value the importance of
collaboration, learning, and fostering connections with clients,
peers, leaders, and communities. While some in-person engagement
may be required for certain roles, we are committed to providing
flexibility to accommodate your individual work-life balance
needs.
As
an equal opportunities’ employer, Spearhead Technology welcomes
and encourages applications from all members of society. We are
dedicated to creating an inclusive environment where diversity
is celebrated, and individuals are valued for their unique
perspectives and contributions. We do not discriminate on the
basis of race, religion or belief, ethnicity, disability, age,
citizenship, marital or civil partnership status, sexual
orientation, or gender identity.