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4 Spearhead Jobs

Data Scientist

1-8 years

Bangalore / Bengaluru

1 vacancy

Data Scientist

Spearhead

posted 1mon ago

Job Description

About the job: Data Scientist.

Career Level : Senior.

Location : On site Full Time.

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 clientsprogress.

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.

Spearhead Technology is seeking a highly skilled and hands-on AI/ML Data Scientist to support the development, testing, and deployment of predictive models for a range of business applications.

This role requires close collaboration with our solutions architect, application engineers, and product teams to create AI/ML solutions for industries including finance, cryptocurrency, and securities pricing.

The ideal candidate will have extensive experience in developing models for predicting cryptocurrency, stocks, bonds, and other financial securities prices.

Key Responsibilities:.

Develop, test, and deploy predictive models using advanced AI/ML techniques.

Collaborate with the solutions architect, application engineers, and product teams to integrate AI/ML models into business applications.

Design and implement models for cryptocurrency, stocks, bonds, and other financial securities pricing predictions.

Utilize regression, time-series, classification, and NLP algorithms to create robust predictive models.

Ensure models are scalable and deployable in cloud environments such as AWS or Azure.

Perform data preprocessing, feature engineering, and model validation to ensure the accuracy and reliability of predictions.

Conduct A/B testing, hypothesis validation, and user testing to refine models.

Utilize big data environments like Hadoop and Spark for large-scale data processing.

Stay updated on the latest trends and advancements in AI/ML and Generative AI to continuously improve model performance and applicability.

Required Skills and Experience:.

Bachelors degree in computer science, mathematics, statistics, data science, AI, ML, or a related technical field.

5+ years of hands-on experience in developing predictive models using regression, time-series, classification, and NLP algorithms and techniques.

Proficiency in Python and Python-based machine learning libraries (e g, TensorFlow, Keras, Scikit-Learn).

Strong coding skills in SQL and experience with cloud-based applications and HTTP-based APIs.

Demonstrated experience in developing and deploying predictive models in AWS and/or Azure environments.

Experience with databases and data warehousing solutions offered by AWS and/or Azure.

Familiarity with A/B testing, hypothesis validation, user testing, and analytics software.

Knowledge of big data technologies such as Hadoop and Spark, with coding experience in PySpark.

Understanding of Generative AI concepts, use cases, and applications.

Strong analytical skills and a hypothesis-driven approach to problem-solving.

Preferred Qualifications:.

Masters or Ph.D.

in a relevant technical field.

Experience with financial data, especially in the domain of cryptocurrency and securities pricing.

Certifications in AWS, Azure, or other relevant technologies.

Experience with additional programming languages and tools relevant to AI/ML.

Benefits.

Whats 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 opportunitiesemployer, 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.


Employment Type: Full Time, Permanent

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Spearhead Benefits

Work From Home
Job Training
Free Transport
Child care
Gymnasium
Cafeteria +6 more
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